Junior

Course	Eligibility	Admission Pattern	Procedure	In take capacity	Last year Cut off	Course Timing
F.Y.J.C.	X th	Centralised	Laid down by the Deputy Director of Education	600	94%	12pm- 5pm
S.Y.J.C.	XI th from BMCC	College Level		–	–	12pm–5pm

Admissions are not granted against donations

Parents & Guardians are requested to read carefully notifications issued by the Deputy Director of Education, Pune. (which appear in newspapers ) and act in time in order to ensure admissions. ( Please also refer to General Instructions)

As college has become autonomous this admission is valid for two years XI & XII.

Even BMCC student has to apply for F.Y. B. Com and admissions are done on merit basis.

Course Content

Course	Subject	Marks
F.Y.J.C. & S.Y.J.C.	English ( Compulsory )	100
	Language :- Marathi / Hindi / French or, Information Technology / German	100
	Book-Keeping and Accountancy	100
	Economics	100
	Organization of Commerce	100
	Secretarial Practice / Mathematics & Statistics	100
	Environmental Science	100

New Evaluation Pattern for F.Y.J.C. & S.Y.J.C. Government Resolution

A Few Highlights:

From the Academic year 2002 – 2003, we intend to introduce ‘Information Technology’ as an optional subject to Languages. We have a well equipped computer laboratory for this purpose.
For F.Y.J.C. students an Orientation Programme is organised after the completion of admissions in which students are introduced to the opportunities and facilities which the college offers for their all round development in the form of sports, cultural activities, Study Circle, Library and various Associations. The students are guided and encouraged to participate in these activities.
A Lecture series is arranged every year by experienced and reputed speakers in the field of Commerce and Business which provides information and guidance in the choice of career and other useful topics.
For S.Y.J.C. (Std. XII) students, we have a Merit Batch in which about 25 students are admitted on the basis of merit and are given intensive personalised coaching for the H.S.C. Board Examination.
We also have a Scheme of Test Series in which any student can participate on voluntary basis. Four tests are held in the year on the lines of H.S.C. Board Examination which provide ample guidance and practice in the technique of writing examination papers.

Senior

B.Com

Course	Eligibility	Admission	Procedure	In take capacity	Course Timing
F.Y.B.Com.	XII pass	After XII Result	On Open Merit Basis	600	7.30 – 12.30p.m
S.Y.B.Com.	F.Y.B.Com passed from BMCC	After F.Y.B.Com Result	On Open Merit Basis (If vacancies exist)	600	7.30 – 12.30p.m
T.Y.B.Com	S.Y.B.Com passed from BMCC	–	–	600	7.30 – 12.30p.m

Course Content

Autonomous Structure of B.Com. Course

F. Y. B.Com.
Code	SEM I Course	Credits	Code	SEM II Course	Credits
1101	Compulsory English – I	3	1201	Compulsory English – II	3
1102	Financial Accounting – I	4	1202	Financial Accounting – II	4
1102 (A)	Financial Accounting – I (F3)	4	1202 (A)	Financial Accounting- II (F3)	4
1103	Business Economics – I (Micro)	3	1203	Business Economics -II(Micro)	3
1104 (A)	Business Mathematics & Statistics – I OR	1204 (A)	Business Mathematics & Statistics – II OR
1104 (B)	Computer Concepts & Applications – I	3	1204 (B)	Computer Concepts & Applications – II	3
1105( A)	Banking and Finance – I	1205( A)	Banking and Finance – II
1105(B)	Organizational Skill Development – I OR	1205(B)	Organizational Skill Development – I OR
1105(C)	Vocational – Tax Procedure & Practices – I	3	1205(C)	Vocational – Tax Procedure & Practices – II	3
1105(D)	Management Accounting -I (F2)	1205(D)	Management Accounting -II(F2)
1106(A)	Foundation Course in Commerce – I	1206(A)	Foundation Course in Commerce – II
1106(B)	Business Environment & Entrepreneurship – I	1206(B)	Business Environment & Entrepreneurship – II
1106(C)	Marketing & Salesmanship – I	3	1206(C)	Marketing & Salesmanship – II	3
1106(D)	Vocational – Tax Procedure & Practices – II	1206(D)	Vocational – Tax Procedure & Practices – IV
1106 (E )	Foundation Course in Commerce- I (F1)	1206 (E )	Foundation Course in Commerce -II (F1)
1107	Additional Language – I	1207	Additional Language
1107 (A)	Additional English – I	1207 (A)	Additional English – II
1107(B)	Marathi – I	1107(B)	Marathi – II
1107( C)	German – I	1207(C)	German – II
1107( D)	French – I	1207( D)	French – II
1107( E)	Hindi – I	1207(E)	Hindi – II
1208	Physical Education
	Total Credits : Non ACCA	22		Total Credits : Non ACCA	22
	And International Finance (ACCA)	22		And International Finance (ACCA)	22

SEM V			SEM VI
Code	Course	Credits	Code	Course	Credits
1501	Mercantile Law – I	3	1601	Mercantile Law – II	3
1501 (A)	Mercantile Law – I (F4)	3	1601 (A)	Mercantile Law – II (F4)	3
1502	Advanced Accounting – I	3	1602	Advanced Accounting – II (F3)	3
1502 (A)	Business Economics – I (Micro)	3	1602 (A)	Business Economics – II(Micro)	3
1503	Business Mathematics & Statistics – I OR	3	1603	Business Mathematics & Statistics – II OR	3
1504	Auditing – I	4	1604	Income Tax – II	3	4
1504 (A)	Auditing (F8)	4	1604 (A)	Taxation (F6)		4
	Paper – III		Paper V
1505 (A)	Cost & Works Accounting – III	4	1605 (A)	Cost & Works Accounting – V	4
1505 (B)	Business Administration – III		1605 (B)	Business Administration – V
1505 ( C)	Business Entreprenuership – III		1605 ( C)	Business Entreprenuership – V
1505 (D)	Business Statistics – III		1605 (D)	Business Statistics – V
1505 ( E)	Marketing Management – III		1605 ( E)	Marketing Management -V
1505 (F)	Banking & Finance – III		1605 (F)	Banking & Finance – V
1505 (G)	Vocational Tax Procedure & Practice- IX		1605 (G)	Vocational Tax Procedure & Practice – XI
1505 (H)	Strategic Finance – III ( CMA -USA)		1605 (H)	Strategic Finance -V( CMA -USA)
1505 (I)	Costing – III (APM)		1605 (I)	Costing – V (APM)
	Paper-IV		Paper-VI
1506 (A)	Cost & Works Accounting – IV	4	1606 (A)	Cost & Works Accounting – II	4
1506 (B)	Business Administration – IV		1606 (B)	Business Administration – VI
1506 ( C)	Business Entreprenuership – IV		1606 ( C)	Business Entreprenuership – VI
1506 (D)	Business Statistics – IV		1606 (D)	Business Statistics – VI
1506 ( E)	Marketing Management – IV		1606 ( E)	Marketing Management -VI
1506 (F)	Banking & Finance – IV		1606 (F)	Banking & Finance – VI
1506 (G)	Vocational Tax Procedure & Practice – X		1606 (G)	Vocational Tax Procedure & Practice – XII
1506 (H)	Strategic Finance- IV ( CMA -USA)		1606 (H)	Strategic Finance -VI( CMA -USA)
1506 (I)	Costing – IV (AFM)		1606 (I)	Costing – VI (AFM)
	Total Credits : B.Com.	21		Total Credits : B.Com.	21
	And International Finance (ACCA)	21		And International Finance (ACCA)	21

BBA

Course Content

F.Y.B.B.A.
Autonomous Structure of B.B.A. Course
Code	SEM I Course	Credits	Code	SEM II Course	Credits
2101	Principles of Management	3	2201	Introduction to Cost Accounting	4
2102	Basics of IT	4	2202	Business Organisation and System	3
2103	Business Accounting	4	2203	Entreprenuership Development	3
2104	Micro Economics Analysis	3	2204	Personality Development	3
2105	Business Mathematics	4	2205	Principles of Finance	4
2106	Business Demography	3	2206	Global Business Environment	3
			2207	Physical Education
	Total Credits	21		Total Credits	20

S.Y.B.B.A.

Code	SEM III Course	Credits	Code	SEM IV Course	Credits
2301	Income Tax and GST	3	2401	Production and Operations Management	3
2302	Macro Economic Analysis	3	2402	International Business	3
2303	E-Commerce Technology	3	2403	Business Statistics	4
2304	Management Accounting	3	2404A 2404B	Foreign Language (German) Foreign Language (French)	4
2305	Special Subject-I (Select any one)	4	2405	Special Subject-III (Select any one)	4
2305A	Finance-Financial Management		2405A	Finance-Short Term Financial Management
2305B	Marketing-Fundamentals of Marketing		2405B	Marketing-Product and Strategic Brand Management
2305C	Human Resource Management-Introduction to Functions of HRM		2405C	Human Resource Management- Training and Development
2305D	Services-Services Management		2405D	Services-Current Trends in Services
2306	Special Subjects-II (Select any one)	4	2406	Special Subject-IV(Select any one)	4
2306A	Finance-Indian Financial System and Regulators		2406A	Finance-Long Term Financial Management
2306B	Marketing-Sales Management		2406B	Marketing- International Marketing
2306C	Human Resource Management-Organisational Behaviour		2406C	Human Resource Management- Performance and Compensation Management
2306D	Services-Services Marketing		2406D	Services-Services Operations Mgt. and Quality Issues
	Total Credits	20		Total Credits	22

T.Y.B.B.A.

Code	SEM V Course	Credits	Code	SEM VI Course	Credits
2501	Supply Chain and Logistics Management (SCLM)	3	2601	Management Control System (MCS)	3
2502	Research Methodology (RM)	4	2602	Strategic Management	3
2503	Customer Relationship Management (CRM)	3	2603	Business Communication and Soft Skills	4
2504A 2504B	Foreign Language (German) Foreign Language (French)	4	2604	Introduction to Business Law	3
2505	Special Subject-V(Select any one)	4	2605	Special Subject-VI(Select any one)	4
2505A	Finance – Working Capital Assets Management		2605A	Finance – Current Trends in Financial Services and Institutions
2505B	Marketing – IMC and Advertising		2605B	Marketing – Consumer Behaviour
2505C	HRM – Organizational Development		2605C	HRM – Global Trade in HRM
2505D	Services – Financial Services Management		2605D	Services – International – Business in Services Sector
2506A	Finance – Analysis of Corporate Financial Reports	4	2606A	Finance – Project in Finance (Project in Finance)	4
2506B	Marketing – Retail Management		2606B	Project in Marketing
2506C	HRM – Labour Laws		2606C	Project in Human Resource Management
2506D	Services – Tourism Services Marketing and Management		2606D	Project in Services (Project in Services)
	Total Credits	22		Total Credits	21

BBA-IB

Course Content

F.Y.B.B.A.-IB
Autonomous Structure of B.B.A-IB Course
Code	SEM I Course	Credits	Code	SEM II Course	Credits
3101	Micro Economic Analysis	3	3201	Introduction to Cost Accounting	4
3102	Principles and Practices of Management	3	3202	Macro Economic Analysis	4
3103	Business Mathematics	4	3203	Elements of Human Resource Management	3
3104	Basics of Information Technology	3	3204	Personality Development	3
3105	Business Accounting	4	3205	Principles of Finance	3
3106	Commercial Geography	3	3206	Global Environment	3
	Total Credits	20		Total Credits	20

S.Y.B.B.A-IB
Code	SEM III Course	Credits	Code	SEM IV Course	Credits
3301	International Economics	3	3401	International Marketing	3
3302	Fundamentals of Marketing	3	3402	Foreign Exchange Operations	3
3303	Production and Operation Management	3	3403	Introduction to Business Law	3
3304	Management Accounting	4	3404	Business Statistics	4
3305	Foreign Language-I	3	3405	Foreign Languge-II	3
	I-German			I-German
	II-French			II-French
3306	Business Ethics	3	3406	Entrepreneurship Development	3
	Total Credits	19		Total Credits	19

T.Y.B.B.A-IB
SEM V		SEM VI
Course Code	Title	Credit	Course Code	Title	Credit
3501	International Business Law (Law)	3	3601	Income Tax and GST (Income Tax and GST)	4
3502	Business Communication and Soft Skills (BCSS)	4	3602	E-Commerce (E-Commerce)	3
3503	International Relations (IR)	3	3603	Import Export Policy (Import Export Policy)	3
3504(A)	Foreign Language III- German (German)	4	3604	Study of Global Economics (Study of Global Economics)	3
3504(B)	Foreign Language III- French (Business French III)	4	3605	International Financial Management (Internationa l Financial Management)	4
3505	International Banking and Finance (Internationa l Banking and Finance)	4	3606	Research Methodology (RM)	4
3506	Global Logistics and Supply Chain Management (GLSCM)	3
Total :-		21	Total :-		21

BBA-CA

Course Content

F.Y.B.B.A.-CA
Autonomous Structure of B.B.A-CA Course Revised 2017
Code	SEM I Course	Credits	Code	SEM II Course	Credits
4101	Computer Fundamentals	4	4201	Introduction to Cost Accounting	3
4102	Business Accounting and Tally	4	4202	Business Mathematics	3
4103	Business Statistics	3	4203	Software Engineering	4
4104	Database Management System	4	4204	Relational Database Management System	4
4105	“C” Programmning	4	4205	Data Structures Using “C”	4
4106	Lab Course(Using “C” Programming and DBMS)	4	4206	Lab Course(RDBMS+Data Structures)	4
	Total Credits	23		Total Credits	22

S.Y.B.B.A-CA
Code	SEM III Course	Credits	Code	SEM IV Course	Credits
4301	Principles of Mgt and HR	3	4401	Webpage Designing	2
4302	Operating System	4	4402	Software Testing	3
4303	Object Oriented Programming Using C++	4	4403	Core JAVA	4
4304	Object Oriented Software Engineering	3	4404	Web Technology-2	4
4305	Web Technology-1	2	4405	Project Using SE and OOSE	3
4306	Lab Course(CPP)and WT-1	4	4406	Lab Course on 4403 and 4404	4
	Total Credits	20	1407	Environment Awareness	1*
				Total Credits	20

T.Y.B.B.A-CA
Code	SEM V Course	Credits	Code	SEM VI Course	Credits
4501	Business Communication and Soft Skills	3	4601	Cyber Security	2
4502	Networking	3	4602	E-Commerce and M-Commerce	2
4503	Advance Java	4	4603	Workshop on Recent Trends in IT (Python and Cloud Computing)	3
4504	ASP.NET	4	4604	Linux and Unix Operating System	4
4505	Project	4	4605	Project	4
4506	Lab Course for 4503 and 4504 (Practical)	4	4606	Lab course on 4603 and 4604	4
	Total Credits	22		Total Credits	19

BMS

Bachelor of Management Studies (E-Commerce Operations)

Designed by Logistics Sector Council (LSC), established by the Ministry of Skill Development and Entrepreneurship (MSDE).
Eligibility -12th standard pass from any stream. Good knowledge of Mathematics/statistics
Four semesters on campus and last two semesters on-the-job training in the form of Industry apprenticeship
Good stipend
Guaranteed placement
Limited intake capacity
Admission based on entrance examination conducted by the college
Degree awarded by Savitribai Phule Pune University

Click Here For Detail Syllabus
Logistics Sector Skill Council

Post Graduation

M.Com.

Course	Eligibility	Admission Pattern	Procedure	In take capacity	Course Timing
M.Com. Part I	Graduate in Commerce	After T.Y.B.Com. Result	On Open Merit Basis	120	7.30 – 11.20 a.m
M.Com. Part II	M.Com. Part I Passed from BMCC	After M.Com. Part I Result	–	120	7.30 – 11.20 a.m

Course Content

M.Com.( part I )

Subject Code	SEM I Course	Credits	Subject Code	SEM II Course	Credits
5101	Management Accounting	4	5201	Financial Analysis and Control	4
5102	Strategic Accounting	4	5202 (A) Or 5202 (B)	Industrial Economics Or Business Statistics	4
5103A	Advance Accounting Paper I	4	5203A	Advance Accounting Paper III	4
5103B	Advance Cost Accounting Paper I		5203B	Advance Cost Acconting Paper III
5103C	Business Administration Paper I		5203C	Business Administration Paper III
5104A	Advance Accounting Paper I	4	5201	Advance Accounting Paper IV	4
5104B	Advance Cost Accounting Paper II		5204B	Advance Cost Accounting Paper IV
5104C	Business Administration Paper II		5204C	Business Administration paper IV
	Total	16		Total	16
Value Added			Value Added
5191	Human Rights-I	1	5291	Human Rights-II	1
5192	Introduction to Cyber Security-I	1	5292	Introduction to Cyber Security-II	1

Total Credits through Courses	32
Skill Courses	4
Total Credits in First Year	36

M.Com.( part II )

Subject Code	SEM III Course	Credits	Subject Code	SEM IV Course	Credits
5301	Business Finance	4	5401	Capital Market and Financial Services	4
5302	Research Methodology for Business	4	5402(A) Or 5402(B)	Industrial Economic Environment Or Operations Research	4
5303A	Advance Accounting Paper V	4	5403A	Advance Accounting Paper VII	4
5303B	Advance Cost Accounting Paper V		5403B	Advance Cost Accounting Paper VII
5303C	Business Administration Paper V		5403C	Business Administration Paper VII
5304A	Advance Accounting Paper VI	4	5404A	(Project Work) Advance Accounting Paper VIII	4
5304B	Advance Cost Accounting Paper VI		5404B	(Project Work) Advance Cost Accounting Paper VIII
5304C	Business Administration Paper VI		5404C	(Project Work) Business Administration Paper VIII
	Total	16		Total	16
Value Added			Value Added
5391	Skill Development	2	5491	Skill Development	2
5392	Introductio to Cyber Security-III	1	5492	Introduction to Cyber Security-IV	1
	A Course in Environmental Awareness	1

Total Credits through First Year	36
Total Credit through Courses	32
Skill Courses	6
Environment Course	1
Total Credits in Second Year	75

M.Phil.

Course	Eligibility	Admission Pattern	Procedure	In take capacity	Course Timing
M.Phil.	Post Graduate in Commerce or Management	Entrance Exam by S.P.P.U.	On Open Merit Basis	25	4.30 p.m. – 7.30 p.m

Course Content

M.Phil Group I

Course 1 :Research methodology for social sciences (1 Paper of 100 marks)

Course 2 : Mathematical methods and Statistical techniques of research (1 Paper of 100 Marks)

Course 3 : Advanced courses and recent developments in commerce and management (Paper of 100 marks)

M.Phil Group II

Dissertation:200 marks

Seminar: 50 marks

Viva – Voce : 50 marks

Theseminar and the viva-voce will be based upon the Dissertation. Applicationforms are available in BMCC library.

Exam Pattern

The continuous assessment of courses in Group I will consist of the following:
One seminar paper:20 marks
Only long essay or term paper:20 marks
Mid term test:20 marks
Term-end test:40 marks
Research Guides for M.Phil.(Commerce) Programme

Sr. No.	Name of the Guide	Subject
1.	Dr. C.N.Rawal, Principal,B.M.College of Commerce,Pune-411004	Business Administration and Accountancy
2.	Dr. J.R.Lanjekar, Vice-Principal,B.M.College of Commerce,Pune-411004	Banking and Finance
3.	Dr.S.V.Waghmare, Vice-Principal,B.M.College of Commerce,Pune-411004	Business Economics
4.	Dr.A.M.Puranik, Vice-Principal,B.M.College of Commerce,Pune-411004	Accountancy and Auditing
5.	Dr.P.V.Sathe, B.M.College of Commerce,Pune-411004	Business Administration and Marketing
6.	Dr.Rajeshree Dhananjay Gokhale, B.M.College of Commerce,Pune-411004	Business Administration
7.	Dr.Varsha Hemant Deshpande, B.M.College of Commerce,Pune-411004	Business Administration
8.	Dr.B.V.Sangavikar, PUMBA,University Of Pune,Pune-411007	Organisation and Management
9.	Dr.Shobha Dadlani, Associate Professor,St.Meera’s College,Pune-411001	Business Administration
10.	Dr.Arun Mokashi, Associate Professor,T.J.College,Pune-411001	Business Administration
11.	Dr.Devidas Bharati, Pratibha Institute Of Business Management,Pune-4110119	Banking and Finance
12.	Dr.Aftab Anwar Shaikh, Poona College of Arts,Science and Commerce,Pune-411001	Business Practice
13.	Dr.Daniel Penkar, Symbiosis College of Arts and Commerce,Pune-411004	Business Administration
14.	Dr.D.G.Bhave	Accountancy
15.	Dr.Adsule Anil Babanrao, Ness Wadia College Of Commerce,Pune-411001	Accountancy
16.	Dr.Girija Shankar, Ness Wadia College of Commerce,Pune-411001	Banking and Finance
17.	Dr.S.G.Limaye, Symbiosis College of Arts and Commerce,Pune-411001	Business Administration
18.	Dr.S.D.Pawar, Shri.Siddhivinayak College of Arts,Science and Commerce,Pune-411052	Business Administration and Marketing
19.	Dr.R.J.Sabale, Samajbhushan Ganapatrao Kalbhor Arts,Commerce and Science College,Loni Kalbhor,tal.Havali,Pune	Business Administration and Business Practice
20.	Dr.Randhir Vrushali Surendra, Ness Wadia College of Commerce,Pune-411001	Business Practice

Ph.D

BMCC is recognised centre for Doctorate of Philosophy (Ph.D.) in commerce.

Ph.D.Research Guides

Sr. No.	Name of the Guide	Subject
1.	Dr. C.N.Rawal, Principal,B.M.College of Commerce,Pune-411004	Business Administration and Accountancy
2.	Dr. J.R.Lanjekar, Vice-Principal,B.M.College of Commerce,Pune-411004	Banking and Finance
3.	Dr.S.V.Waghmare, Vice-Principal,B.M.College of Commerce,Pune-411004	Business Economics
4.	Dr.P.V.Sathe, B.M.College of Commerce,Pune-411004	Business Administration and Marketing
5.	Dr.Rajeshree Dhananjay Gokhale, B.M.College of Commerce,Pune-411004	Business Administration
6.	Dr.Varsha Hemant Deshpande, B.M.College of Commerce,Pune-411004	Business Administration
7.	Dr.Mukund Dongare, Reader,Department Of Commerce,Baburaoji Gholap College,Sangvi,Pune-411027	Business Administration
8.	Dr.Vijayalakshmi Nambiar, M.U.College of Commerce,Pimpri,Pune-411017	Business Administration
9.	Dr.Karmadkar Parkash Hemraj, Institute of Management and Career Development,Nigadi,Pune-411044	Marketing
10.	Dr.Jagtap Kishor Nivrutti, Smt.C.K.Goyal Arts and Commerce College,Dapodi,Pune-411012	Business Practice and Accountancy
11.	Dr.S.G.Limaye, Symbiosis College of Arts and Commerce,Pune-411001	Business Administration
12.	Dr.Kenjale Somprasad Rajaram, Principal,M.S.Kakade College,Tal.Baramati,Pune	Business Economics
13.	Dr.S.D.Pawar, Shri.Siddhivinayak College of Arts,Science and Commerce,Pune-411052	Business Administration and Marketing
14.	Dr.Kulkarni Vandana Vilas, Shri.Siddhivinayak College of Arts,Science and Commerce,Pune-411052	Banking and Finance,Business Administration
15.	Dr.R.J.Sabale, Samajbhushan Ganapatrao Kalbhor Arts,Commerce and Science College,Loni Kalbhor,tal.Havali,Pune	Business Administration and Business Practice
16.	Dr.Randhir Vrushali Surendra, Ness Wadia College of Commerce,Pune-411001	Business Practice
17.	Dr.Shaikh N.B., M.M.College of Commerce,Pune-411004	Business Economics
18.	Dr.Girija Shankar, Ness Wadia College of Commerce,Pune-411001	Banking and Finance
19.	Dr.Belgaonkar Dilip Gopal, R.N.C.Arts,J.D.B.Commerce and N.S.C.Science College,Nashik-422101	Marketing
20.	Dr.Bhagwanti H.Nanawani, Director,Sadhu Vaswani Insitute of Mgt.Studies for Girls,Pune-411001	Business Administration
21.	Dr.Sunita Shantilal Pokharna, M.M.College of Commerce,Pune-411004	Business Administration
22.	Dr.Shinde Kundlik Housrao, Savitribai Phule Mahila Mahavidyalaya,Satara	Business Economics
23.	Dr.Thorat Yuvraj Rajaram, Samajbhushan Baburao Alias Appasaheb Jedhe Arts,Commerce and Science College,Pune-411002	Accountancy and Auditing,Banking and Finance,Business Administration
24.	Dr.Gunjal Tukaram Dhondiba, Pune Jilha Shikshan Mandal’s Mamasaheb Mohol Mahavidyalaya,Paud road,Pune-411038	Accountancy and Auditing
25.	Dr.Sharayu Suresh Bhakare, Symbiosis College of Arts and Commerce,Pune-411004	Business Administration
26.	Dr.Swami Vishwas Iresh, Sinhgad Technical Education Society’s Sinhgad College of Commerce,Kodhwa,Pune-411048	Business Administration
27.	Dr.Vijay Behere, Symbiosis College of Arts and Commerce,Pune-411004	Business Economics

PGDBF

Course	Eligibility	In take capacity	Course Timing
PGDBF	Graduation With 40% Marks	60	7.30 – 9.30 a.m

Course Content

PGDBF
Autonomous Structure of PGDBF Course
Code	SEM I Course	Credits	Code	SEM II Course	Credits
6101	Bank, Financial Institutions & Financial Markets I	3	6201	Bank, Financial Institutions & Financial Markets II	3
6102	Law & Practice of Banking I	3	6202	Law & Practice of Banking II	3
6103	Bank Lending I	3	6203	Bank Lending II	3
6104	Accounting System & Financial Analysis I	3	6204	Accounting System & Financial Analysis II	3
			6205	Project I	3
			6206	Project II	3

	Total Credits	12		Total Credits	18

PGDIB

Course	Eligibility	In take capacity	Course Timing
PGDIB	Graduation With 50% Marks	60	7.30 – 9.30 a.m

Course Content

PGDIB
Autonomous Structure of PGDIB Course
Code	SEM I Course	Credits	Code	SEM II Course	Credits
7101	International Marketing I	3	7201	International Marketing II	3
7102	Economic Systems & Foreign Trade I	3	7202	Economic Systems & Foreign Trade II	3
7103 7104 7105	EXIM Procedures I Commercial Law Overseas Market Research I	3 3 3	7203 7204 7205	EXIM Procedures II Project Overseas Market Research II	3 3 3

PGD Big Data Analytics

In today’s competitive business environment, data analysis helps to gather optimum information and utilize it in every sector; be it a small start-up or an established organization. It is the root of every business process whether it is sales, purchase, marketing or logistics. This course covers Statistics,RDBMS, Economics and Research. Also, two international IBM certifications in Predictive Analysis and Big Data Engineering are available.

This course is specifically designed for students who would like to accelerate their career as it gives a hand on approach on case studies. The students have an added advantage to complete the certification programs helps them to explore more challenging opportunities with business organization across different sectors.

The fees for the course will be Rs. 76,500/- plus GST. The total amount will be around Rs. 90,270/-.

Programme Structure for Post Graduate Diploma in Big Data Analytics (Students) With effect from June 2019


Course Structure
Code	SEM I Course	Credits	Code	SEM II Course	Credits
10101	Applied Statistics for Business	4	10201	Business Economics	4
10102	Operations Research	4	10202	Research Methodology	4
10103	Fundamentals program in R Programming	3	10203	Predictive Modelling using IBM SPSS Modeler	4
10104	Information Management – RDBMS concepts	4	10204	Recent trends in Data Sciences /Project	4
10105	Python – Basics	2
10106	Data Visualization with Cognos Analytics	1
	Total Credits	18		Total Credits	16

Subject code- 10101 Semester – 1 Credit – 4

Subject title – Applied Statistics for Business (Pattern 2019)

Objectives:

Unit No.	Topics
1	Concept of statistics, population, sample, parameter and statistic, examples of use of statistic, data sources, representation of data, types of statistical analyses, sampling methods, types of variables, measures of central tendency, statistical estimation: point and interval, co-variance, coefficient of correlation, formulae.
2	Permutations and combinations, Probability concepts, types of probabilities, collectively exhaustive event set, joint probability, Bayes Theorem, probability distribution for a discreet random variable, probabilistic view on variance, covariance.
3	Distributions: Bernoulli’s trail, binomial distribution, Poisson distribution, Hypergeometric distribution, student-t distribution, Chi-square distribution, F- distribution, Normal distribution, explanation of derivation of population parameter through samples and central limit theorem, Z score.
4	Hypothesis and testing, single parameter and two-parameter testing, single sided and two-sided testing, p-value, tests and test statistic and logic behind it, problems on hypothesis testing, diagnostic tests: goodness of fit, t-test, f-test and chi-sq test, contingency table, degree of freedom, analysis of variances.

Subject code- 10102 Semester – 1 Credit – 4

Subject title – Operations Research (Pattern 2019)

Unit No.	Topics
1	Mathematical Optimization for Business Problems Mathematical Programming is a powerful technique used to model and solve optimization problems. This training provides the necessary fundamentals of mathematical programming and useful tips for good modeling practice in order to construct simple optimization models. In this training, students will explore several aspects of mathematical programing and more about constructing optimization models using IBM Decision Optimization technology, including: Basic terminology: operations research, mathematical optimization, and mathematical programming Basic elements of optimization models: data, decision variables, objective functions, and constraints Different types of solution: feasible, optimal, infeasible, and unbounded Mathematical programming techniques for optimization: Linear Programming, Integer Programming, Mixed Integer Programming, and Quadratic Programming Algorithms used for solving continuous linear programming problems: simplex, dual simplex, and barrier Important mathematical programming concepts: sparsity, uncertainty, periodicity, network structure, convexity, piecewise linear and nonlinear These concepts are illustrated by concrete examples, including a production problem and different network models.
2	Mathematical Optimization for Business Problems Mathematical Programming is a powerful technique used to model and solve optimization problems. This training provides the necessary fundamentals of mathematical programming and useful tips for good modeling practice in order to construct simple optimization models. In this training, students will explore several aspects of mathematical programing and more about constructing optimization models using IBM Decision Optimization technology, including: Basic terminology: operations research, mathematical optimization, and mathematical programming Basic elements of optimization models: data, decision variables, objective functions, and constraints Different types of solution: feasible, optimal, infeasible, and unbounded Mathematical programming techniques for optimization: Linear Programming, Integer Programming, Mixed Integer Programming, and Quadratic Programming Algorithms used for solving continuous linear programming problems: simplex, dual simplex, and barrier Important mathematical programming concepts: sparsity, uncertainty, periodicity, network structure, convexity, piecewise linear and nonlinear These concepts are illustrated by concrete examples, including a production problem and different network models.
3	Introduction to Linear programming A production problem : Part 1 – Writing the model A production problem : Part 2 – Finding a solution A production problem : Part 3 – From feasibility to unboundedness Algorithms for solving linear programs : Part 1 – The Simplex and Dual Simplex Algorithm Algorithms for solving linear programs : Part 2 – The Simplex and Barrier methods
4	Linear Programming
5	Network Models Introduction to Network Models The Transportation problem The Transshipment problem The Assignment problem The shortest path problem Critical path analysis
6	Beyond simple LP Nonlinearity and Convexity Piecewise linear programming Integer programming The branch and bound method Quadratic Programming
7	Modelling Practice Modelling the real world The importance of Sparsity Tips for better models

Subject code- 10103 Semester – 1 Credit – 3

Subject title – Fundamentals program in R Programming (Pattern 2019)

Objectives:

R is a powerful language for data analysis, data visualization, machine learning, and statistics. Data visualization plays an essential role in the representation of both small and large scale data. The main goal of this course is to teach students how to take data that at first glance has little meaning and present that data in a form that makes sense to people. In this course, participants will be learning about the basics of R, and will end with the confidence to start writing your own R scripts.

Unit No.	Topics
1	Module 2.1 Module 1 – R basics Math, Variables, and Strings Vectors and Factors Vector operations
2	Module 2.2 Data structures in R Arrays & Matrices Lists Dataframes
3	Module 2.3 R programming fundamentals Conditions and loops Functions in R Objects and Classes Debugging
4	Module 2.4 – Working with data in R Reading CSV and Excel Files Reading text files Writing and saving data objects to file in R
5	Module 2.5 – Strings and Dates in R String operations in R Regular Expressions Dates in R
6	Module 2.6 – Basic Visualization Tools Bar Charts Histograms Pie Charts
7	Module 2.7 – Basic Visualization Tools Continued Scatter Plots Line Plots and Regression
8	Module 2.8 – Specialized Visualization Tools Word Clouds Radar Charts Waffle Charts Box Plots
9	Module 2.9 – How to create Maps Creating Maps in R

Subject code- 10104 Semester – 1 Credit – 4

Subject title – Information Management – RDBMS concepts (Pattern 2019)

Unit No.	Topics
1	Introduction to RDBMS – Data Models – Database users – System Structure – Data base administrator – Basic concepts
2	Entity – Relationship model, Basic concepts – Mapping constraints – Keys – ER Diagram – Work Entity sets – Design of an ER Database Schema – reduction of ER Schema to tables
3	SQL – Set operations – Aggregate functions – Null values – Nested subqueries – views – Modification of databases joined Relations – DDL – other SQL features
4	Data Warehousing theory- concept of cubes and aggregation of data in characteristics, Key figures and data granularity
5	Comparison of OLTP and OLAP
6	ETL- Extraction, Transformation and Loading of data from various sources to DW
7	Slicing, dicing and cross applications reporting and complex data analysis
8	Business Applications of BI- Business Intelligence
9	Data Mining Engine consisting of a set of functional modules for tasks such as characterization, association and correlation analysis, classification, prediction, cluster analysis, outlier analysis, and evolution analysis.
10	Pattern Evaluation-The search toward interesting patterns and knowledge presentation and visualization techniques for displaying recognized patterns
11	Data Mining Applications- Financial data, Retail Industry, Telecom Industry, Biological Data etc.

Subject code- 10105 Semester – 1 Credit – 2

Subject title – Python – Basics (Pattern 2019)

Unit

No.

Topics

Introduction to Python,

• Understanding Operators, Variables and Data Types,

• Conditional Statements,

• Looping Constructs, Functions,

• Data Structure, Lists, Dictionaries

• Understanding Standard Libraries in Python, Reading a CSV File in Python

Data Frames and basic operations with Data Frames, Indexing a Data Frame

• Libraries in Python –

• NumPy,

• SciPy, Matplotlib, Scikit-learn,

• Web development frameworks: Django/Flask

Subject code- 10201 Semester – 2 Credit – 4

Subject title – Business Economics

Objectives:

Unit No.	Topics
1	Introduction to Managerial-Economics: Nature and Scope; Approaches; Relevance to Social Economy: Concept of Scarcity; Concept of Division of Labor and Exchange; Factors of production, Utility, Market, Exchange; Market Mechanism
2	Market – Demand Side: Law of Demand; Exceptions, Elasticity Concepts; Downward Sloping Curve/ Shifts of Demand Curve; Notion of Competition/ Industry Demand Curve. Market – Supply Side: Law of Supply; Exceptions, Elasticity Concepts
3	Equilibrium and Pricing: Price Determination
4	Concepts of Cost; Fixed/ Variable/ Average Costs; Marginal Cost, Opportunity Costs; Social Costs
5	Production and Returns: Variable Proportions; Returns to Scale: Increasing; decreasing; constant returns, Input-Output; Value Added (Production Based Interpretation, ‘Factor-payment’ Interpretation; Labour and other factor payments)
6	Market Structures: Competition, Monopoly, Imperfect Competition, Monopolistic Competition, Oligopoly: Pricing decisions under different market structures

Subject code- 10202 Semester – 2 Credit – 4

Subject title – Research Methodology (Pattern 2019)

Unit No.	Topics
1	Perspective and approaches to research: Quantitative, Positivist and Qualitative Etic and Emic perspectives, Phenomenology Ethnography, Grounded Theory Research in Business
2	Research Process: Overview and steps involved in research
3	Research Problem and Proposal: Selecting defining and developing the problem and formulating the hypothesis
4	Research Design and Planning: Meaning of research design, kinds of research design, experimental and non-experimental designs, operational design and planning
5	Primary Data Collection Methods: a.) Survey methods, Questionnaire design, Instruments for respondent communication, Experimentation b.)Observation methods, Participant Observation, Interviews, Behavioral event interview, long interview, Focus group discussion, Case study method Sampling: Sampling design, criteria for selecting a sample, types of sampling, sample size
6	Secondary data and literature research, problems in secondary data
7	Scaling: Importance, scaling, basic types of scales
8	Data Processing and Preliminary Analysis: Editing, tabulating, coding, classification, analysis, interpretation, statistics in research, use of computers in research
9	Sampling Distribution and Hypothesis Testing
10	Report writing and presentation

Subject code- 10204 Semester – 2 Credit – 4

Subject title – Recent trends in Data Sciences / Project (Pattern 2019)

Unit No.	Topics	No. of lectures
1	Hortonworks Data Platform (HDP), Apache Ambari, Hadoop and the Hadoop Distributed File System, MapReduce and Yarn, Apache Spark, Storing and Quering data, ZooKeeper, Slider, and Knox, Loading data with Sqooq
2	Dataplane Service, Stream Computing, Data Science essentials, Drew Conway’s Venn Diagram – and that of others, The Scientific Process applied to Data Science, the steps in running a Data Science project
3	Languages used for Data Science (Python, R, Scala, Julia, …), Survey of Data Science Notebooks, Markdown language with notebooks, Resources for Data Science, including GitHub, Jupyter Notebook, Essential packages: NumPy, SciPy, Pandas, Scikit-learn, NLTK, BeautifulSoup.
4	Data visualizations: matplotlib, …, PixieDust, Using Jupyter “Magic” commands
5	Using Big SQL to access HDFS data, Creating Big SQL schemas and tables, Querying Big SQL tables, Managing the Big SQL Server, Configuring Big SQL security,
6	Data federation with Big SQL, IBM Watson Studio, Analyzing data with Watson Studio Prerequisites Skills

PGD Big Data Analytics

The fees for the course will be Rs. 76,500/- plus GST. The total amount will be around Rs. 90,270/-.

Programme Structure for Post Graduate Diploma in Big Data Analytics (Students) With effect from June 2019


Course Structure
Code	SEM I Course	Credits	Code	SEM II Course	Credits
10101	Applied Statistics for Business	4	10201	Business Economics	4
10102	Operations Research	4	10202	Research Methodology	4
10103	Fundamentals program in R Programming	3	10203	Predictive Modelling using IBM SPSS Modeler	4
10104	Information Management – RDBMS concepts	4	10204	Recent trends in Data Sciences /Project	4
10105	Python – Basics	2
10106	Data Visualization with Cognos Analytics	1
	Total Credits	18		Total Credits	16

Subject code- 10101 Semester – 1 Credit – 4

Subject title – Applied Statistics for Business (Pattern 2019)

Objectives:

Unit No.	Topics
1	Concept of statistics, population, sample, parameter and statistic, examples of use of statistic, data sources, representation of data, types of statistical analyses, sampling methods, types of variables, measures of central tendency, statistical estimation: point and interval, co-variance, coefficient of correlation, formulae.
2	Permutations and combinations, Probability concepts, types of probabilities, collectively exhaustive event set, joint probability, Bayes Theorem, probability distribution for a discreet random variable, probabilistic view on variance, covariance.
3	Distributions: Bernoulli’s trail, binomial distribution, Poisson distribution, Hypergeometric distribution, student-t distribution, Chi-square distribution, F- distribution, Normal distribution, explanation of derivation of population parameter through samples and central limit theorem, Z score.
4	Hypothesis and testing, single parameter and two-parameter testing, single sided and two-sided testing, p-value, tests and test statistic and logic behind it, problems on hypothesis testing, diagnostic tests: goodness of fit, t-test, f-test and chi-sq test, contingency table, degree of freedom, analysis of variances.

Subject code- 10102 Semester – 1 Credit – 4

Subject title – Operations Research (Pattern 2019)

Unit No.	Topics
1	Mathematical Optimization for Business Problems Mathematical Programming is a powerful technique used to model and solve optimization problems. This training provides the necessary fundamentals of mathematical programming and useful tips for good modeling practice in order to construct simple optimization models. In this training, students will explore several aspects of mathematical programing and more about constructing optimization models using IBM Decision Optimization technology, including: Basic terminology: operations research, mathematical optimization, and mathematical programming Basic elements of optimization models: data, decision variables, objective functions, and constraints Different types of solution: feasible, optimal, infeasible, and unbounded Mathematical programming techniques for optimization: Linear Programming, Integer Programming, Mixed Integer Programming, and Quadratic Programming Algorithms used for solving continuous linear programming problems: simplex, dual simplex, and barrier Important mathematical programming concepts: sparsity, uncertainty, periodicity, network structure, convexity, piecewise linear and nonlinear These concepts are illustrated by concrete examples, including a production problem and different network models.
2	Mathematical Optimization for Business Problems Mathematical Programming is a powerful technique used to model and solve optimization problems. This training provides the necessary fundamentals of mathematical programming and useful tips for good modeling practice in order to construct simple optimization models. In this training, students will explore several aspects of mathematical programing and more about constructing optimization models using IBM Decision Optimization technology, including: Basic terminology: operations research, mathematical optimization, and mathematical programming Basic elements of optimization models: data, decision variables, objective functions, and constraints Different types of solution: feasible, optimal, infeasible, and unbounded Mathematical programming techniques for optimization: Linear Programming, Integer Programming, Mixed Integer Programming, and Quadratic Programming Algorithms used for solving continuous linear programming problems: simplex, dual simplex, and barrier Important mathematical programming concepts: sparsity, uncertainty, periodicity, network structure, convexity, piecewise linear and nonlinear These concepts are illustrated by concrete examples, including a production problem and different network models.
3	Introduction to Linear programming A production problem : Part 1 – Writing the model A production problem : Part 2 – Finding a solution A production problem : Part 3 – From feasibility to unboundedness Algorithms for solving linear programs : Part 1 – The Simplex and Dual Simplex Algorithm Algorithms for solving linear programs : Part 2 – The Simplex and Barrier methods
4	Linear Programming
5	Network Models Introduction to Network Models The Transportation problem The Transshipment problem The Assignment problem The shortest path problem Critical path analysis
6	Beyond simple LP Nonlinearity and Convexity Piecewise linear programming Integer programming The branch and bound method Quadratic Programming
7	Modelling Practice Modelling the real world The importance of Sparsity Tips for better models

Subject code- 10103 Semester – 1 Credit – 3

Subject title – Fundamentals program in R Programming (Pattern 2019)

Objectives:

Unit No.	Topics
1	Module 2.1 Module 1 – R basics Math, Variables, and Strings Vectors and Factors Vector operations
2	Module 2.2 Data structures in R Arrays & Matrices Lists Dataframes
3	Module 2.3 R programming fundamentals Conditions and loops Functions in R Objects and Classes Debugging
4	Module 2.4 – Working with data in R Reading CSV and Excel Files Reading text files Writing and saving data objects to file in R
5	Module 2.5 – Strings and Dates in R String operations in R Regular Expressions Dates in R
6	Module 2.6 – Basic Visualization Tools Bar Charts Histograms Pie Charts
7	Module 2.7 – Basic Visualization Tools Continued Scatter Plots Line Plots and Regression
8	Module 2.8 – Specialized Visualization Tools Word Clouds Radar Charts Waffle Charts Box Plots
9	Module 2.9 – How to create Maps Creating Maps in R

Subject code- 10104 Semester – 1 Credit – 4

Subject title – Information Management – RDBMS concepts (Pattern 2019)

Unit No.	Topics
1	Introduction to RDBMS – Data Models – Database users – System Structure – Data base administrator – Basic concepts
2	Entity – Relationship model, Basic concepts – Mapping constraints – Keys – ER Diagram – Work Entity sets – Design of an ER Database Schema – reduction of ER Schema to tables
3	SQL – Set operations – Aggregate functions – Null values – Nested subqueries – views – Modification of databases joined Relations – DDL – other SQL features
4	Data Warehousing theory- concept of cubes and aggregation of data in characteristics, Key figures and data granularity
5	Comparison of OLTP and OLAP
6	ETL- Extraction, Transformation and Loading of data from various sources to DW
7	Slicing, dicing and cross applications reporting and complex data analysis
8	Business Applications of BI- Business Intelligence
9	Data Mining Engine consisting of a set of functional modules for tasks such as characterization, association and correlation analysis, classification, prediction, cluster analysis, outlier analysis, and evolution analysis.
10	Pattern Evaluation-The search toward interesting patterns and knowledge presentation and visualization techniques for displaying recognized patterns
11	Data Mining Applications- Financial data, Retail Industry, Telecom Industry, Biological Data etc.

Subject code- 10105 Semester – 1 Credit – 2

Subject title – Python – Basics (Pattern 2019)

Unit

No.

Topics

Introduction to Python,

• Understanding Operators, Variables and Data Types,

• Conditional Statements,

• Looping Constructs, Functions,

• Data Structure, Lists, Dictionaries

• Understanding Standard Libraries in Python, Reading a CSV File in Python

Data Frames and basic operations with Data Frames, Indexing a Data Frame

• Libraries in Python –

• NumPy,

• SciPy, Matplotlib, Scikit-learn,

• Web development frameworks: Django/Flask

Subject code- 10106 Semester – 1 Credit – 1

Subject title – Data Visualization with Cognos Analytics (Pattern 2019)

bjectives:

Unit No.	Topics
1	FoundationinBusinessAnalyticsusingCognosInsight Introduction to Business Analytics in Digital Economy Analytics in Modern Enterprises Ways of importing data to work with IBM Cognos Insight Restructuring of data Create different visualizations relevant to Business uses Constructing a new workspace in Enterprise Business Different ways of formatting & entering data in reporting Sharing data & publish a workspace across business stake holders Business case studies & problem solving Usage of Reporting in Marketing , HR , Operations Management
2	CognitiveanalyticsusingWatson Analyzing data has no value if you cannot tell a story of insight out of it. This is where tools like Watson Analytics can take your analysis to the next level. Watson Analytics offers you the benefits of advanced analytics without the complexity. Use Excel to get you started and put you in the right analytical mindset. Learn, in a few hours, how to perform data exploration, predictive analytics and effortless dashboard and infographic creation. Get answers and new insights to make confident decisions in minutes—all on your own!
3	Overview of Watson Analytics Identify Watson Analytics components and the user interface (Overview) Data Identify data structure limitations and requirements Upload data from flat files Shape data before uploading Upload data from Twitter
4	Work with data connections Create a secure connection Create a secure gateway Refine data Join data sets Add a calculation to the data set Add a data group to the data set Add a hierarchy
5	Discover patterns, relationships, and predictive insights Change column headings Sort data Perform analysis using natural language questions Edit targets in a predictive analysis Navigate the spiral in a predictive analysis View decision rules and the decision tree Provide added value to the analysis Share the analysis through email
6	Assemble a display Change visualization types in a display Modify properties of a display Filter visualizations in a display Control access Share assets and set access permissions References – Create and Use expert Storybooks Author an expert storybook, Use an expert storybook

Subject code- 10201 Semester – 2 Credit – 4

Subject title – Business Economics

Objectives:

Unit No.	Topics
1	Introduction to Managerial-Economics: Nature and Scope; Approaches; Relevance to Social Economy: Concept of Scarcity; Concept of Division of Labor and Exchange; Factors of production, Utility, Market, Exchange; Market Mechanism
2	Market – Demand Side: Law of Demand; Exceptions, Elasticity Concepts; Downward Sloping Curve/ Shifts of Demand Curve; Notion of Competition/ Industry Demand Curve. Market – Supply Side: Law of Supply; Exceptions, Elasticity Concepts
3	Equilibrium and Pricing: Price Determination
4	Concepts of Cost; Fixed/ Variable/ Average Costs; Marginal Cost, Opportunity Costs; Social Costs
5	Production and Returns: Variable Proportions; Returns to Scale: Increasing; decreasing; constant returns, Input-Output; Value Added (Production Based Interpretation, ‘Factor-payment’ Interpretation; Labour and other factor payments)
6	Market Structures: Competition, Monopoly, Imperfect Competition, Monopolistic Competition, Oligopoly: Pricing decisions under different market structures

Subject code- 10202 Semester – 2 Credit – 4

Subject title – Research Methodology (Pattern 2019)

Unit No.	Topics
1	Perspective and approaches to research: Quantitative, Positivist and Qualitative Etic and Emic perspectives, Phenomenology Ethnography, Grounded Theory Research in Business
2	Research Process: Overview and steps involved in research
3	Research Problem and Proposal: Selecting defining and developing the problem and formulating the hypothesis
4	Research Design and Planning: Meaning of research design, kinds of research design, experimental and non-experimental designs, operational design and planning
5	Primary Data Collection Methods: a.) Survey methods, Questionnaire design, Instruments for respondent communication, Experimentation b.)Observation methods, Participant Observation, Interviews, Behavioral event interview, long interview, Focus group discussion, Case study method Sampling: Sampling design, criteria for selecting a sample, types of sampling, sample size
6	Secondary data and literature research, problems in secondary data
7	Scaling: Importance, scaling, basic types of scales
8	Data Processing and Preliminary Analysis: Editing, tabulating, coding, classification, analysis, interpretation, statistics in research, use of computers in research
9	Sampling Distribution and Hypothesis Testing
10	Report writing and presentation

Subject code- 10203 Semester – 2 Credit – 4

Subject title – Predictive Modelling using IBM SPSS Modeler (Pattern 2019)

Unit No.	Topics
	The Predictive Analytics Modeler will learn the essential analytics models to collect and analyze data efficiently. This will require skills in predictive analytics models, such as data mining, data collection and integration, nodes, and statistical analysis. The Predictive Analytics Modeler will use tools for market research and data mining in order to predict problems and improve outcomes.
1	Introduction to Data Mining CRISP-DM Methodology Introduction to SPSS Modeler – predictive data mining workbench SPSS Modeler Interface
2	The Data Mining Process Business Understanding Data Understanding Data Preparation
3	Modeling Techniques Introduction to Common Modeling Techniques Cluster Analysis (Unsupervised Learning) Classification & Prediction (Supervised Learning) Classification – Training & Testing Sampling Data in Classification Predictive Modeling Algorithms in SPSS Modeler Automated Selection of Algorithms
4	Model Evaluation Metrics for Performance Evaluation Accuracy as Performance Evaluation tool Overcoming Limitations of Accuracy Measure ROC Curves
5	Predictive Analytics Modeler Integrating data (methods, options, merging, and sampling) Deriving and reclassifying fields (CLEM) Looking for relationships (matrix, distribution, means, histogram, statistics and plot) Functions (conversion, string, and statistical) Data transformation Statistical. graphical and sample nodes Automated data mining and modeling Predictive models and customer segmentation

Subject code- 10204 Semester – 2 Credit – 4

Subject title – Recent trends in Data Sciences / Project (Pattern 2019)

Unit No.	Topics	No. of lectures
1	Hortonworks Data Platform (HDP), Apache Ambari, Hadoop and the Hadoop Distributed File System, MapReduce and Yarn, Apache Spark, Storing and Quering data, ZooKeeper, Slider, and Knox, Loading data with Sqooq
2	Dataplane Service, Stream Computing, Data Science essentials, Drew Conway’s Venn Diagram – and that of others, The Scientific Process applied to Data Science, the steps in running a Data Science project
3	Languages used for Data Science (Python, R, Scala, Julia, …), Survey of Data Science Notebooks, Markdown language with notebooks, Resources for Data Science, including GitHub, Jupyter Notebook, Essential packages: NumPy, SciPy, Pandas, Scikit-learn, NLTK, BeautifulSoup.
4	Data visualizations: matplotlib, …, PixieDust, Using Jupyter “Magic” commands
5	Using Big SQL to access HDFS data, Creating Big SQL schemas and tables, Querying Big SQL tables, Managing the Big SQL Server, Configuring Big SQL security,
6	Data federation with Big SQL, IBM Watson Studio, Analyzing data with Watson Studio Prerequisites Skills

General Courses

Other Courses

Dip.Adv.Graphic & Comm.

Two Year Diploma in Advertising Graphic and Communication Design

Eligibility: 10+2 (Any Stream)

More Details Contact: +91 9881911033

Course Highlights

Foundation-Visual Art
Fundamentals of Design
Advertising Art
Photography
Digital MArketing
Web Design

U I Design

Dip. Tourism Mgt

Two Year Diploma in Tourism Management

Eligibility: 10+2 (Any Stream)
More Details Contact: +91 9011045866

Course Highlights:

India Tour Planning
International Tour Planning
Travel Agency & Tour Operations
Air Transport
Travel Documents & Formalities
Sales & Marketing
Specialized Tourism
Study Tours (India/Abroad)

Extra Credit Departments

Extra Credit Department

NCC (Girls Unit)

Coordinator: Dr. Asma Bagwan

1)Credits:
• National Cadet Cor I- 3
• National Cadet Cor II – 3
• National Cadet Cor III – 3
2)Intake: 35 Cadets per year Total : 105 Cadets
3) Who can apply: Any Under Graduate Student
4) Selection Process: Interested students must undergo a selection test by Battalion
5) Regular Activities: Parades, Drills, Cleanliness Drive, Rifle Shooting, Training, Map reading, Mountaineering, Tracking, Cultural events etc. Cadet can get opportunities to participate in National camps, Republic day pared at Delhi etc.
6) Camps: College gives opportunity to participate in:
• Annual Training Camp (One each from second year)
• Army Attachment Camp
• Hospital Attachment Tracking
• Leadership Development Camp
• National Integration Camp etc.
7) Outcome:
• To create a high level of patriotism,
• Organized and dedicated force of youth,
• Leadership for the national service.

NCC (Boys Units)

Coordinator: – Dr. Yashodhan Mahajan

1) Credits:
National Cadet Cor I – 3
National Cadet Cor II – 3
National Cadet Cor III– 3
2) Intake: 53 Cadets
3) Who can apply: Any Under Graduate Student
4) Regular Activities: Parades, Drills, Rally’s, Cleanliness Drive, Rifle Shooting, Training, Map reading, Mountaineering, Tracking, Cultural events etc. Cadet can get opportunities to participate in National camps, Republic day pared at Delhi etc.
5) Camps: – College gives opportunity to participate in:
• CATC – Combined Annual Training Camp
• COC – Centrally Organized Camp
• NIC – National Integration Camp
• YEP – Youth Exchange Camp
6) Selection Process: Interested students has to undergo a selection test by Battalion
7) Outcome: –
• To create Human resource of organized trained & motivated youth.
• To Provide leadership in all forces.
• Always available for the service of nation.
8) During the NCC Training: – Every cadet must complete one camp.
9) Camp: – Maximum 2 camps in 3 years
First Year: – No Camp
Second Year: – One Camp
Third Year: – One Camp

National Service Scheme (NSS )

Coordinator: – Mr. Vijay Salunke , CA Swati Mahanoor

1) Intake: Total 150 volunteers

F.Y. B.Com 75 volunteers
S.Y. B.Com. 75 volunteers

2) SELECTION:- We select the Volunteers by conducting General Knowledge MCQ exam and interview.
3) CAMPS:- We conduct 7 days special NSS camp. Student will get the opportunity to participate in University, State level camps and Republic Day camp.
4) ACTIVITIES:-

Guest lectures
Tree plantation
Cleaning campaigns .
Winter camp, street play,
Blood donation camps etc.

5) CREDITS:- Total 5 Credits

2 credits for F.Y. B. Com
2 credits for S.Y. B. Com
1 Credit for Special winter camp

6) Outcome:-

Team building spirit
Social awareness
Communication skills
Event management skills
Leadership & public speaking quality

Nature Club

Co-ordinator: Dr. Kishor Bhosale

1) Credits: 1 Credit per year
2) Duration: 3 years
3) No of Student: 25 students
4) Selection Criteria: MCQ Examination & Interview
5) Activities:
• Tree Plantation, Seminars, Guest Lecture, Visits, Poster/PPT, Photography Competition.
• ‘Celebration of Friendship with Nature’, “Kirloskar Vasundhara” film Festival.
• Seminar/workshop/short film on Environment

6) OutCome:
• Environmental Awareness Amongst students by participating in various activities.
• Facilitates the development Skills of Environment protection.
• Spread Environment Education especially in the informal and creative manner amongst younger creation.

Earn & Learn

Coordinator: Dr. R.P.Kuchekar

1) Credits: 2 credits per year
2) Duration: 3 Years
3) No. of students: 45
4) Selection Criteria: Application and Interviews
Student must work on campus in various departments for 250 hours in a year.
5) Outcome: Students get work experience as well as financial support to students.

Late Shri. Vijay Chavan Memorial Moot Court activity

Coordinator: Dr. Varsha Deshpande

1) Credits: 1 credit per year
2) Duration: 3 Years
3) No. of students: 25
4) Selection Criteria: Personal interaction and interviews
5) Activity:
a)Orientation Lectures on important civil laws
b) Interaction with lawyers on important /popular cases
c) Organization of memorial lecture
d) Organisation of the inter collegiate moot court event
6) Outcome:: Students can develop logical thinking, convincing abilities, drafting skills and good presentation skills

Heritage Collective

Coordinator: Dr. Rajeshree Gokhale

1) Credits: 2 credits per year
2) Duration: 3 Years
3) No. of students: 25
4) Selection Criteria: Application and Interview
5) Activity: Astitva- Celebrating Indian Heritage[ Intercollegiate event ], Virasaat[ Interactions with personalities associated with heritage]Visits to places of heritage significance, celebration of International Mother tongue day, Makar Sankrant to name a few. Visit to NGO and one social
6) Outcome:: Awareness and pride of our rich Indian Heritage through edutainment, Social Responsibility, Management skills and life skills like working in teams, diversity, negotiation skills etc

Cultural

Coordinator: Dr. Ashish Puranik

1) Credits: 2 credits per year
2) Duration: 3 Years
3) No. of students: 50
4) Selection Criteria: Auditions
5) Activity: To represent college in Dance, Drama, Abhivachan, Street Play etc. ( Min. no. of Hours: 60 )
6) Outcome:: 1. Personality Development, Team Building
2. Students get platform to show their skills in music, dance , drama, set designing etc.

Sports

Coordinator: Mr. Swapnil Deshmukh

1) Credits: International/National – 4 credits per year
2) National/Inter University 3 credits per year
3) State/ zonal level/ Gymkhana Dept : 2 credits per year
4) Inter college Participation : 1 credit per year

Extra Credit Courses

Tally Basic

Smart Tally (Tally Basic)

Module 1: Non Trading Organization: Introduction Of Tally, Accounting basics, Transactions in Tally.ERP 9, Ledger & Groups, Features Of Tally .ERP 9, Accounting Vouchers, Processing Transaction in Tally.ERP9, Use Of Vouchers, Purchase &Sales, Backup & Restore, Taxation in Tally in Tally .ERP 9, GST Introduction, GST Mechanism & Journey, How GST Work, Chart Of Accounts,Function Key.

Tally Professional(Advanced)

Tally Professional(Advanced)
Module 2: Trading Organization: Purchase & Sales, Cash & Credit Purchase & Sales, Invoicing in Tally.ERP 9, Inventory Creation, Inventory Transactions, Features of Tally.ERP9, Advanced Inventory Features, Actual & Billed Quantity, Separate Discount Columns, Multiple Price Levels, Taxation in Tally. ERP 9, Goods and Service Tax G.S.T, Scenario 1, G.S.T.R 2 Return Summary, Exporting GSTR1 , Scenario 2, Statutory Adjustment , Scenario 3, Statutory Adjustment Of Reverse Charge, Scenario 4, Point of Sales (POS),Reports, Accounting Reports, Statement of Accounts Inventory Reports, Statements of Inventory, Statutory Reports

Excel Basic Excel Workshop Schedule:

Excel Basic (SKC – 003) Excel Workshop Schedule:

Introduction,File Tab,Data entry
Home Tab
Page Layout
Formulas
Formulas
Data Tab, What-if-analysis
Insert Tab
Review Tab
View Tab
“Absolute and Relative references,Creating Range”
Linking Worksheet and Workbook
Chart
Chart
Revision
Test

Basic German

Basic German (SKC–006)
1.Vocabulary: Active: 3,000 words plus passive:2,000 words
2.Grammar:

Sentence structure
Parts of Speech: Articles, Prepositions, Conjunctions, Nouns and their typology, Adjectives and their typology, Adverbs and their typology, Verbs, Pronouns
Question/negation formation
Tenses: Simple Present, Present Continuous, Present Perfect, Past, Future
Language specific constructions unique to that language
Comparison of adjectives/adverbs
Imperatives
Core exclamation patterns unique to that language
Introduction to compound/complex sentence structures
Possessives, demonstratives
Cases: Nominative, accusative/dative, genitives

3.Situations

Describing people/places/processes
Talking about family/relationships/qualities of people
Shopping
Eating in restaurants

4.Communicative strategies: A few are indicated here:

Introducing self/others
Requesting
Apologising/accepting apologies
Indicating preferences, likes/dislike

5.Writing: A few are indicated here:

Informal letters
Basic Dialogues
Preparing personal documents: C.V., Passport, Visiting card

6.Language specific orthography and punctuation rules
7.Introduction to Phonetics Many language specific activities are conducted to hone students’ LSRW skills.
8.Introduction to the Culture and History of the concerned country

Basic French

Vocabulary: Active: 3,000 words plus passive:2,000 words
Grammar:
1. Sentence structure
2. Parts of Speech: Articles, Prepositions, Conjunctions, Nouns and their typology, Adjectives and their typology, Adverbs and their typology, Verbs, Pronouns
3. Question/negation formation
4. Tenses: Simple Present, Present Continuous, Present Perfect, Past, Future
5. Language specific constructions unique to that language
6. Comparison of adjectives/adverbs
7. Imperatives
8. Core exclamation patterns unique to that language
9. Introduction to compound/complex sentence structures
10. Possessives, demonstratives
11. Cases: Nominative, accusative/dative, genitives
Situations: A few are indicated here:
1. Describing people/places/processes
2. Talking about family/relationships/qualities of people
3. Shopping
4. Eating in restaurants
Communicative strategies: A few are indicated here:
1. Introducing self/others
2. Requesting
3. Apologising/accepting apologies
4. Indicating preferences, likes/dislike
Writing: A few are indicated here:
1. Informal letters
2. Basic Dialogues
3. Preparing personal documents: C.V., Passport, Visiting card
Language specific orthography and punctuation rules
Introduction to Phonetics Many language specific activities are conducted to hone students’ LSRW skills.
Introduction to the Culture and History of the concerned country

Basic Spanish

Vocabulary: Active: 3,000 words plus passive:2,000 words
Grammar:
1. Sentence structure
2. Parts of Speech: Articles, Prepositions, Conjunctions, Nouns and their typology, Adjectives and their typology, Adverbs and their typology, Verbs, Pronouns
3. Question/negation formation
4. Tenses: Simple Present, Present Continuous, Present Perfect, Past, Future
5. Language specific constructions unique to that language
6. Comparison of adjectives/adverbs
7. Imperatives
8. Core exclamation patterns unique to that language
9. Introduction to compound/complex sentence structures
10. Possessives, demonstratives
11. Cases: Nominative, accusative/dative, genitives
Situations: A few are indicated here:
1. Describing people/places/processes
2. Talking about family/relationships/qualities of people
3. Shopping
4. Eating in restaurants
Communicative strategies: A few are indicated here:
1. Introducing self/others
2. Requesting
3. Apologising/accepting apologies
4. Indicating preferences, likes/dislike
Writing: A few are indicated here:
1. Informal letters
2. Basic Dialogues
3. Preparing personal documents: C.V., Passport, Visiting card
Language specific orthography and punctuation rules
Introduction to Phonetics Many language specific activities are conducted to hone students’ LSRW skills.
Introduction to the Culture and History of the concerned country

Basic English

Vocabulary: Active: 3,000 words plus passive:2,000 words
Grammar:
1. Sentence structure
2. Parts of Speech: Articles, Prepositions, Conjunctions, Nouns and their typology, Adjectives and their typology, Adverbs and their typology, Verbs, Pronouns
3. Question/negation formation
4. Tenses: Simple Present, Present Continuous, Present Perfect, Past, Future
5. Language specific constructions unique to that language
6. Comparison of adjectives/adverbs
7. Imperatives
8. Core exclamation patterns unique to that language
9. Introduction to compound/complex sentence structures
10. Possessives, demonstratives
11. Cases: Nominative, accusative/dative, genitives
Situations: A few are indicated here:
1. Describing people/places/processes
2. Talking about family/relationships/qualities of people
3. Shopping
4. Eating in restaurants
Communicative strategies: A few are indicated here:
1. Introducing self/others
2. Requesting
3. Apologising/accepting apologies
4. Indicating preferences, likes/dislike
Writing: A few are indicated here:
1. Informal letters
2. Basic Dialogues
3. Preparing personal documents: C.V., Passport, Visiting card
Language specific orthography and punctuation rules
Introduction to Phonetics Many language specific activities are conducted to hone students’ LSRW skills.
Introduction to the Culture and History of the concerned country

BEC

Preparatory Course in BEC/Elementary

This coursetrains students for the Cambridge BEC examination(s). Hence the course content consists of introducing students to the LSRW skills, the concept of business communication, the notions of register and style, and the question types the university has designed. Hence this particular course is more of a practical and practice oriented course. Students are given lot of practice of the test items in all the skills. In a way, this forms part of the internal assessment as well.

Digital Marketing

No.	Topics	Objectives	Subjects covered	No. of hrs.
1	Introduction	To understand how digital marketing work.	1.1 Introduction about Digital Marketing 1.2 Importance of Social Media 1.3 User Data Collection 1.4 Payment Gateways
2	Self Discovery	Self Discovery	2.1 Finding Interest 2.2 Finding Skill 2.3 Goal Setting
3	Affiliate Marketing	To understand own niche product and basic digital production .	3.1 Niche Product List 3.2 Amezone Affiliate Program 3.3 Flipkart Affiliate Program 3.4 Posting on social Media 3.5 Google Trends
4	Freelancing	To understand own skills and apply with redefined one.	4.1 Introduction about Freelancing 4.2 Branch in Freelancing Designing Video Making Writing Programming Fun and Life Stylish Social media Marketing Business 4.3 Promoting Freelancing Glg
5	OP	Understand search engine optimization and search engine marketing with keywords.	5.1 How do search engine work ? Indexing and Crawling Basics Optimizing Crawl Budget Introduction to SEO 5.2 Organic Search vs. Paid Search Results. Anatomy of a Search Result (Search Snippet) What in On-Page SEO (content, Architecture, html) What is Off-page SEO/Link Building (Social, Content-based 5.3 Keyword Research Google Keyboard Planner Tool Google Trend 5.4 ON-PAGE SEO Html Basics Web Page Basics: What is Html, JavaScript,CSS Basic HTML Tags to create a web page HTML Tags for SEO: Title, H1, META tags, IMG,A ON -PAGE SEO ELEMENTS Crawling: XML, HTML, sitemaps, Robots.txt Content Clusters (Creating SEO-based Content) Negative on page to avoid >/li> SCHEMA MARKUP What is Schema and Why is it relevant to SEO Schema Types- Micro, JSON-LD Common JSON Schema Tags- Organisation, WEbsite, Blog , Local Business How Schema Shows up in SERPs 5.5 OFF-PAGE SEO 5.5.1 LINK BUILDING What is Link Building? Link Building Tactics Manual Link Building Process Link building Metrics 5.5.2 SOCIAL SEO Quora YouTube Video SEO Slideshare, Scribed and Other Social Channels For SEO 5.5.3 LOCAL SEO Google My Business, Bling Places Local Pages on your Website Local Listing/ Citations 5.6 What is Google AdWords?Why Google AdWord? 5.7 Shopping and Mobile-specific campaign types and when/why 5.8 Creation of Search Network Campaign Ad Ad Formats Ad Text Policies Ad Text Best Practices DIKI Ad Extensions Keyword Research Tools-Keyword Planner and Estimator Keyword Match Types Keyword Strategies Landing Page Bidding and Budget Optimizing the search Network Campaign using Match Types, Ad Text Best Practices, etc.
6	Media Social Marketing arke	Apply Social Media Marketing and Brand Awareness Strategy	6.1 Facebook Marketing Creating Content For Facebook and Social Media Why Content is the Foundation of SMW? Psychology of Social Sharing Building Content that is Inherently Shareable 6.2 Facebook Marketing What is Facebook Marketing? Facebbok Page Best Practices KPIs to measure success Facebook Insights Facebook Business Manager How does Facebook Advertising Work ? Facebook Ad Campaign Objectives Facebook Ad Targeting 6.3 Instagram and LinkedIN Marketing Marketing on Instagram Optimizing Ypur Instagram Business Profile Crafting an Instagram content Strategy Best Practice Influence Marketing on Instagram Analytics and Measurement Instagram Ads LinkedIn as a Marketing Platform LinkedIN for Personal Branding Brand Marketing LinkedIn Company Pages LinkedIN Ads 6.4 Twitter and Snapchat Marketing Twitter Marketing Twitter Marketing for Brand Awareness Twitter Ads Twitter Analytics Pinterest Marketing And Creating a successful Digital Market Pinterest Marketing Pinterest for business Marketing on Pinterest Best Practices Analytics and Measurement
7	Youtube	To understand passion and earning from youtube	7.1 Finding YouTube Topic 7.2 Youtube Marketing 7.3 Evening from youtube
8	Blog Writing	To understand blogging and content writing.	8.1 How to write a blog 8.2 Blog Promotion 8.3 Blog Earning
9	Digital Publishing Production	Able to Publish own Digital Product	9.1 What is Digital Publishing? 9.2 Formula for Online Entrepreneur 9.3 Kindle Direct Publication 9.4 Niche Selection 9.5 Launching your Passion Product
				48

GST

Course in Goods and Service Tax (SKC – 014)
1. Basic Concepts And Structure Of GST
2. Levy And Collection Of Tax

1. 1. Exemptions under GST
  2. Chapter heading
2. Time And Value Of Supply , Rules
3. Input Tax Credit , Rules
4. Registration , Rules
5. Tax Invoice, Credit And Debit Notes , Rules
6. Accounts And Records , Rules
7. Payment Of Tax , Rules
8. Returns , Rules
9. Refunds , Rules
10. Audit and assessments
11. Procedures under GST
  1. Inspection, Search, Seizure And Arrest , Rules
  2. Demands And Recovery , Rules
  3. Liability To Pay In Certain Cases
  4. Advance Ruling , Rules
  5. Appeals And Revision , Rules
12. Offences And Penalties , Rules
13. Transitional Provisions , Rules
14. Job Work
15. E Commerce
16. How to use GST portal
17. Accounting under GST
18. Case studies in GST

Soft Skill

Soft Skills Programme (SKC -015)

1. Personality Development

1. 1. Self-awareness and personality development
    1. Positive attitude and confidence building
    2. Dressing and grooming
  2. Change management and career planning
  3. Goal setting and Motivation
  4. Time and stress management
2. Communication skills
  1. Basics of communication, effective communication, interpersonal communication
  2. Verbal and Non-verbal communication
  3. Public speaking skills
  4. Presentation skills
  5. Team building and leadership skills
3. Campus to Corporate
  1. Corporate attitude (problem solving, decision making), corporate etiquette and manners
  2. Verbal and Non-verbal communication
  3. Conflict management, negotiation skills
  4. Group discussion skills
  5. Personal interview skills

Stock Market

Certificate Course in Capital Market Basic(SKC-016A)
Introduction toPrimary & Secondary Market
Demat &Depositories
BSE OnlineTrading System, Trading Clearing & Settlement
Long- termInvestments:
Primary market -IPO, FPO, Listing
Secondary market– Introduction to BSE NSE and OTCEI
Indices
Trading thestock market
Mutual funds.

10.Introduction to FundamentalAnalysis

Economics Development And Growth

Economics of Development and Growth Models (SKC – 017A)
1. Introduction to Development and Growth
2. Inequality and Growth
3. Critical Minimum Effort Model
4. Social,Technological and Financial Dualism models
5. Rostov’s Growth model
6. Rosenstein Rodin’s: Big Push Theory
7. Gunnar Myrdal’s model
8. Hicks Kaldor –Stylized facts
9. Skitovsky model
10. Harris Todardo model

International Relations

International Relations and Institutions (SKC – 017B)
1. Introduction
2. Factors influencing international relations
3. Trade Policies
4. Bilateral and Multilateral Trade (WTO)
5. Regional Trade Blocks
6. BRICS, G5, G7, G10, G22, G77
7. UNSC, UNICEF, WHO 8.World Bank (Group)
8. International Court of Justice (ICJ)
9. International Labor Organization (ILO)

Introduction to Tourism Management

Special attraction: Visit to one 5-star property

Unit No.	Topics	No. of lectures
1	Understanding tourism · Meaning & concepts · Types of tourism · Motives of tourism	7
2	Management of Tourism Services · environmental analysis and current Market Trends · Understanding tourist needs and Catering to the same	5
3	Marketing of Tourism Packages · Development of service package · 7 P’s of tourism services · Special issues and challenges for the managers	8
4	Environmentally Responsible Tourism & Tourism Regulations	5
5	· Unique Features of Indian Tourism	5

Suggested Reference Material –

Marketing for Tourism by Holloway e-book
Handbook of Tourism Management Majeed Shafiee
Services Management Harsh Verma
Advanced book on marketing of tourism Ravee Chauhan

Teaching Methodology –

Discussions and Case studies
Videos
Field visits

Expected Outcome – After studying this subject the students should be able to grasp the unique characteristics of tourism services.

Certificate Course in Business Ethics

Deccan Education Society’s

BrihanMaharashtra Collage of Commerce

Business Ethics Course

Ethics has become abuzz word in the corporate world. The reason for this is the globalization and the explosion in the communication in the organization. As a result, the businesses are focusing more on the ethics part. Business Ethics refer to a code of conduct that the businesses are expected to follow while doing a business.

Objectives of Course:

Explain the concept of business ethics
Explain how ethics relates to the business and the individual
Define “corporate code of ethics”
Explain the role of managers in setting standards for ethical behaviour

Sr. No.	Topic
1	Business Ethics : An Overview
2	Concepts and Theories of Business Ethics
3	Ethics of Consumer Protection
4	Environmental Ethics
5	Marketing Ethics
6	Ethical issues in Human Resource Management
7	Corporate Ethics: Investors Rights, Privileges, Problems and Protection
8	Corporate Social Responsibility
9	Ethical Decision Making in Business
10	Globalization and Business Ethics
11	Workshop on Business Ethics

Teaching Methodology:

Case Study
Role play
Presentations

Lifeskills

Life Skills Programme on Panchgani (Bahai Academy)

1. Please check attached file for course details. ( In downloads )

External B.Com

Coordinator: Mrs. Manjusha Gokhale
BMCC is center for external B.Com. Course conducted by Savitribai Phule Pune University(SPPU).
Intake capacity: 100 students
Admission process is through SPPU website.
Examination : Annual pattern through SPPU

It helps working people to continue their degree course. Contact classes are conducted in BMCC.
www.unipune .ac.in

Courses under YCMOU

MBA and Other Post Graduates Courses (YCMOU Distance Learning Center)

Our College is a recognised Study Centre of YCMOU Nashik for the above courses. The duration of the MBA course is two years. Eligibility for getting admission to MBA Programme is graduation of any faculty with 50% marks and for students belonging to reservation category 45% marks. BMCC study centre offers special courses?

Marketing Management
Financial Management
Human Resource Management
Manufacturing Management

Audio Visual aids are used for imparting education. Experts from academic field and corporate sector act as counselors.

Entrance Test usually scheduled in the month of July on a Sunday.
Post-Gradutes Courses

M.A.
M.Com
M.Sc.

Master’s Degree of the YCMOU is considered as equivalent to two Refresher Courses for lecturers of the respective discipline. Masters degree is useful for teacher in School, for getting higher scale.

Recognized Centre for M.Phil.
BMCC is recognised as the Postgraduate Research Centre of Yashwantrao Chavan Maharashtra Open University, Nasik. BMCC Postgraduate Research Centre Conducts the M.Phil Programme. In every year three workshops are organized for academic activities.

All these programmes are research oriented programmes and they can be done in the following three areas which are interdisciplinary in nature.

Distance Education
Educational Communication
Subject Communication

For More Details:- http://www.ycmou.com

Syllabus

Syllabus BMCC

Syllabus PDF

B.Com BBA BBA-IB BBA-CA PGDBF PGDIB Dip.Adv.Graphic & Comm. Dip. Tourism Mgt PGD Big Data Analytics M.Com M.Phil. Ph.D

First Year	42
Total Credits in Second Year	36
Environment Course	1
	79

Deccan Education Society'sBRIHAN MAHARASHTRA COLLEGE OF COMMERCE(AUTONOMOUS)

Junior

Admissions are not granted against donations

Course Content

A Few Highlights:

Senior

B.Com

Course Content

T.Y.B.Com. (2017 Pattern)

BBA

Course Content

BBA-IB

Course Content

BBA-CA

Course Content

BMS

Bachelor of Management Studies (E-Commerce Operations)

Post Graduation

M.Com.

Course Content

M.Phil.

Ph.D

Ph.D.Research Guides

PGDBF

Course Content

PGDIB

Course Content

PGD Big Data Analytics

Mathematical Optimization for Business Problems

Mathematical Optimization for Business Problems

PGD Big Data Analytics

Mathematical Optimization for Business Problems

Mathematical Optimization for Business Problems

FoundationinBusinessAnalyticsusingCognosInsight

CognitiveanalyticsusingWatson

Other Courses

Dip.Adv.Graphic & Comm.

Dip. Tourism Mgt

Extra Credit Department

NCC (Girls Unit)

Coordinator: Dr. Asma Bagwan

NCC (Boys Units)

Coordinator: – Dr. Yashodhan Mahajan

National Service Scheme (NSS )

Coordinator: – Mr. Vijay Salunke , CA Swati Mahanoor

Nature Club

Co-ordinator: Dr. Kishor Bhosale

Earn & Learn

Coordinator: Dr. R.P.Kuchekar

Late Shri. Vijay Chavan Memorial Moot Court activity

Coordinator: Dr. Varsha Deshpande

Heritage Collective

Coordinator: Dr. Rajeshree Gokhale

Cultural

Coordinator: Dr. Ashish Puranik

Sports

Coordinator: Mr. Swapnil Deshmukh

Extra Credit Courses

Tally Basic

Tally Professional(Advanced)

Excel Basic Excel Workshop Schedule:

Basic German

Basic French

Basic Spanish

Basic English

BEC

Digital Marketing

GST

Soft Skill

Stock Market

Economics Development And Growth

International Relations

Introduction to Tourism Management

Certificate Course in Business Ethics

Lifeskills

External B.Com

MBA and Other Post Graduates Courses (YCMOU Distance Learning Center)

Syllabus BMCC

Deccan Education Society's
BRIHAN MAHARASHTRA
COLLEGE OF COMMERCE(AUTONOMOUS)