Academics

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
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

 

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

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

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) 1601 (A) Mercantile Law – II (F4)
1502 Advanced Accounting – I 3 1602 Advanced Accounting – II (F3) 3
1502 (A) Business Economics – I (Micro) 1602 (A) Business Economics – II(Micro)
1503 Business Mathematics & Statistics – I OR 3 1603 Business Mathematics & Statistics – II OR 3
1504 Auditing – I 4 1604 Income Tax – II 4
1504 (A) Auditing (F8) 1604 (A) Taxation (F6)
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

Autonomous Structure of B.B.A. Course
F.Y.B.B.A.
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 4
2104 Micro Economics Analysis 3 2204 Personality Development 3
2105 Business Mathematics 4 2205 Principles of Finance 3
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 3
2304 Management Accounting 3 2404 Foreign Language (German) 3
2305 Special Subject-I (Select any one) 3 2405 Special Subject-III (Select any one) 3
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-Performance and Compensation Management
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-Consumer Behaviour
2306C Human Resource Management-Organisational Behaviour 2406C Human Resource Management-Labour Laws and International Labour Org.
2306D Services-Services Marketing 2406D Services-Services Operations Mgt. and Quality Issues
Total Credits 19 Total Credits 19
T.Y.B.B.A.
SEM V SEM VI
Course Code Title Credit Title Credit
2501 Supply Chain and Logistics Management (SCLM) 3 Management Control System (MCS) 3
2502 Research Methodology (RM) 3 Strategic Management (Strategic Management) 3
2503 Customer Relationship Management (CRM) 3 Business Communication and Soft Skills (Business Communication and Soft Skills) 3
2504(A) German (German) 4 Introduction to Business Law
(Law)
3
2504(B) French (French) Current Trends in Financial Services and Institutions (Current Trends in Financial Services and Institutions) 3
2505(A) Working Capital Assets Management (assets mgnt) 3 International Marketing (IM)
2505(B) IMC and Advertising (IMC and Advertising) Global Trends in HRM (Global Trends in HRM)
2505(C) HRM-
Organizationa l Development (HRM-
Organizationa l
Development)
International Business in Servies Sector (Internationa l Business in Servies Sector)
2505(D) Financial Services Management (Financial Services Management) Project in Finance (Project in Finance) 4
2506(A) Analysis of Corporate Financial Reports (Analysis of Corporate Financial Reports) 4 Project in Marketing (Project in Marketing)
2506(B) Retail Management (Retail mgnt.) Project in Human Resource Management (Project in HRM)
2506(C) Labour Laws (Labour Laws) Project in Services (Project in Services)
2506(D) Tourism Services Marketing and Management (Tourism Services Marketing and Management)
Total Credits 20 Total Credits 19

BBA-IB

Course Content

Autonomous Structure of B.B.A-IB Course
F.Y.B.B.A.-IB
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) 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

Autonomous Structure of B.B.A-CA Course
F.Y.B.B.A.-CA
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
Workshop on “C” 1
Total Credits (Including VAC) 23 Total Credits (Including VAC) 23
S.Y.B.B.A-CA
Code SEM III Course Credits Code SEM IV Course Credits
4301 Principles of Mgt and HR 3 4401 Linux and Unix Operating System 3
4302 Operating System 4 4402 Software Testing 4
4303 Object Oriented Programming Using C++ 4 4403 Core JAVA 4
4304 Object Oriented Software Engineering 3 4404 Web Technology-2 4
4305 Web Tchnology-1 2 4405 Project Analysis and Documentation Using SE and OOSE (2 Projects) 2
4306 Lab Course(CPP)and WT-1 4 4406 Lab Course(core JAVA) and WT-2 4
Total Credits(Compulsory) 20 Total Credits(Compulsory) 20
Workshop on Accessibility 1 Workshop on Project 1
Workshop on Cloud Computing 1
Total Credits(Including VAC) 22 Total Credits( Including VAC) 21

 

T.Y.B.B.A.C.A
SEM V SEM VI
Course Code Title Credit Course Code Title Credit
4501 Business Communication and Soft Skills
(BCSS)
3 4601 Networking (Networking) 3
4502 Cyber Law (Cyber Law) 3 4602 E-Commerce and M-
Commerce
(E-Commerce)
3
4503 Advance Java (Advance Java) 3 4603 Workshop on Recent Trends in IT (Python and Cloud Computing) (IT) 4
4504 ASP.NET (ASP.NET) 3 4604 Project (Java Technology) 4
4505 Project Work in Web Technology (WT Project) 4
4506 Lab Course for 4503 and 4504 (Practical) 4
Total :- 20 Total :- 14

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

Autonomous Structure of PGDBF Course
PGDBF
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

Autonomous Structure of PGDIB Course
PGDIB
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

1

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

2

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

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 Department

NCC (Girls Units)

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 ))

1) UNIT:- We have 150 units of NSS volunteers , there are 75 volunteers from SY Bcom, and 75 volunteers from F.Y. B.Com.
2) SELECTION:- We select the Volunteers by conducting MCQ exam related to NSS and some activities (cleaning campus).
3) CAMPS:- We conduct 7 days special NSS camp , Republic Day camps , trekking camp.
4) ACTIVITIES:- We take all activities and programmes related social issues which includes guest lectures , tree plantation , cleaning campaigns . Students get on field experience in camps, social work in ganesh utsav, ashadhi wari, blood donation camps etc. BMCC, NSS team participates in many street play competitions.
5) CREDITS:- 5 credits for 2 years .
6) Outcome:- It develops planning and organizing skills. It also helps to develop interpersonal relations and thought about social issues like drought, Jal abhiyaan ,noise pollution etc.

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 Deshpander

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

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

  1. Vocabulary: Active: 3,000 words plus passive:2,000 words
  2. 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
  3. 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
  4. Communicative strategies: A few are indicated here:
    1. Introducing self/others
    2. Requesting
    3. Apologising/accepting apologies
    4. Indicating preferences, likes/dislike
  5. Writing: A few are indicated here:
    1. Informal letters
    2. Basic Dialogues
    3. 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 Spanish

  1. Vocabulary: Active: 3,000 words plus passive:2,000 words
  2. 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
  3. 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
  4. Communicative strategies: A few are indicated here:
    1. Introducing self/others
    2. Requesting
    3. Apologising/accepting apologies
    4. Indicating preferences, likes/dislike
  5. Writing: A few are indicated here:
    1. Informal letters
    2. Basic Dialogues
    3. 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 English

  1. Vocabulary: Active: 3,000 words plus passive:2,000 words
  2. 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
  3. 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
  4. Communicative strategies: A few are indicated here:
    1. Introducing self/others
    2. Requesting
    3. Apologising/accepting apologies
    4. Indicating preferences, likes/dislike
  5. Writing: A few are indicated here:
    1. Informal letters
    2. Basic Dialogues
    3. 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

BEC

  1. 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 ?

  1. Indexing and Crawling Basics
  2. Optimizing Crawl Budget
  3. Introduction to SEO

5.2 Organic Search vs. Paid Search Results.

  1. Anatomy of a Search Result (Search Snippet)
  2. What in On-Page SEO (content, Architecture, html)
  3. What is Off-page SEO/Link Building (Social, Content-based

5.3 Keyword Research

  1. Google Keyboard Planner Tool
  2. Google Trend

5.4 ON-PAGE SEO

  1. 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
  2. ON -PAGE SEO ELEMENTS
    • Crawling: XML, HTML, sitemaps, Robots.txt
    • Content Clusters (Creating SEO-based Content)
    • Negative on page to avoid >/li>
  3. 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

  1. 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

  1. What is Facebook Marketing?
    • Facebbok Page Best Practices
    • KPIs to measure success
    • Facebook Insights
    • Facebook Business Manager
  2. How does Facebook Advertising Work ?
    • Facebook Ad Campaign Objectives
    • Facebook Ad Targeting

6.3 Instagram and LinkedIN Marketing

  1. Marketing on Instagram
    • Optimizing Ypur Instagram Business Profile
    • Crafting an Instagram content Strategy
    • Best Practice
    • Influence Marketing on Instagram
    • Analytics and Measurement
    • Instagram Ads
  2. LinkedIn as a Marketing Platform
    • LinkedIN for Personal Branding
    • Brand Marketing
    • LinkedIn Company Pages
    • LinkedIN Ads

6.4 Twitter and Snapchat Marketing

  1. Twitter Marketing
    • Twitter Marketing for Brand Awareness
    • Twitter Ads
    • Twitter Analytics
    • Pinterest Marketing And Creating a successful Digital Market
  2. 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

  1. Course in Goods and Service Tax (SKC – 014)
    1. Basic Concepts And Structure Of GST
    2. Levy And Collection Of Tax
      1. Exemptions under GST
      2. Chapter heading
    1. Time And Value Of Supply , Rules
    2. Input Tax Credit , Rules
    3. Registration , Rules
    4. Tax Invoice, Credit And Debit Notes , Rules
    5. Accounts And Records , Rules
    6. Payment Of Tax , Rules
    7. Returns , Rules
    8. Refunds , Rules
    9. Audit and assessments
    10. 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
    11. Offences And Penalties , Rules
    12. Transitional Provisions , Rules
    13. Job Work
    14. E Commerce
    15. How to use GST portal
    16. Accounting under GST
    17. Case studies in GST

Soft Skill

  1. Soft Skills Programme (SKC -015)
    1. Personality Development
      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
    1. 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
    2. 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

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

10.Introduction to FundamentalAnalysis

Economics Development And Growth

  1. 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

  1. 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 –

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

Teaching Methodology –

  1. Discussions and Case studies
  2. Videos
  3. 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

  1. 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

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 BMCC