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MBA- Business Analytics

MBA- Business Analytics

School of Business Studies (SBS)

  • Program Code

    00145

  • Level

    Post Graduate

  • Duration

    2 Years

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Average Rating : 3.0
About the Programme

A future career in the field of integrated statistical analysis data mining predictive modelling business intelligence and optimisation methodologies having great decision-making ability are a perfect fit for this program.
The M.B.A. Business Analytics or Master of Business Administration in Business Analytics is a two-year postgraduate Business Management program having technical and managerial coursework required for dealing with future challenges in the technology and data-driven global environment. 

The curriculum for this program has been designed in consultation with experts from the industry and includes all three parts of the analytics Viz. Descriptive Prescriptive and Predictive which have been developed amongst different courses and blended with appropriate tools and data management techniques like optimisation computer simulation decision analysis statistics predictive modelling data mining and visualisation applied probabilistic modelling artificial intelligence and applications in finance marketing supply chain information systems and economics using these tools. 

After completion of the programme students can opt for the teaching field after clearing some specific qualifications such as B.Ed. UGC-NET.
 

This course is for individuals who...

Have a strong logical and analytical aptitude with a background of Mathematics Statistics or Operations Research are an ideal fit for this program. 
 

Students who are looking for...

A future career in the field of integrated statistical analysis data mining predictive modelling business intelligence and optimisation methodologies having great decision-making ability are a perfect fit for this program.
 

Course Fee
Fee Per Semester Fee Per Year
For National Students 1 35 000 2 60 000
For International Students 2300 4500
Syllabus

S.No.

Paper ID

Subject Code

Subjects

Teaching Load

Credits

Core/Elective

Pre-Requisite/

Co Requisite

Type of Course:

1. CC

2. AECC

3. SEC

4. DSE

L

T

P

 

THEORY SUBJECTS

 

1.

 

BA 1.1

Principles of Management

3

 

 

3

Core

CC

2.

 

BA 1.2

Economic Analysis for Business Decisions

3

 

 

3

Core

CC

3.

 

BA 1.3

Organizational Behavior

3

 

 

3

Core

CC

4.

 

BA 1.4

Marketing  Metrics for Analytics

2

 

2

3

Core

DSE

5.

 

BA 1.5

Accounting for Analytics

3

 

 

3

Core

DSE

6.

 

BA 1.6

Business Statistics for  Analytics Using MS Excel

2

 

2

3

Core

DSE

Practical/Viva-Voce/Jury

 

7.

 

BA 1.7

Lab 1:MS ACCESS and Excelling MS EXCEL (VBA PROGRAMMING)

2

 

2

3

Core

SEC,AECC

8.

 

BA 1.8

LAB 2: Data Management and  R

2

 

2

3

Core

SEC,AECC

TOTAL CREDITS                                                                        

24

 

 

 

 

S.No.

Paper ID

Subject Code

Subjects

Teaching Load

Credits

Core/Elective

Pre-Requisite/

Co Requisite

Type of Course:

1. CC

2. AECC

3. SEC

4. DSE

L

T

P

 

THEORY SUBJECTS

 

1.

 

BA 2.1

Entrepreneurship

3

 

 

3

Core

CC

2.

 

BA 2.2

Production and Operations Management

3

 

 

3

Core

CC

3.

 

BA 2.3

Stochastic Foundations: Probability Models

2

 

2

3

Core

DSE

4.

 

BA 2.4

Business Research Methods using Excel & SPSS

2

 

2

3

Core                                            Pre-Requisite: BA 1.6

DSE

5.

 

BA 2.5

Investment Analysis and Portfolio Management

3

 

 

3

Core

DSE

Practical/Viva-Voce/Jury

 

6.

 

BA 2.6

Lab 3 – Data Mining Techniques – Predictive Modeling and Pattern Discovery- using R

2

 

2

3

Core                                                        Pre-Requisite: BA 1.8

DSE,AECC

7.

 

BA 2.7

Lab 4 – Data Visualization for Analytics

2

 

2

3

Core                                                            Pre-Requisite: BA 1.6

DSE,AECC

8.

 

BA 2.8

Lab 5 – Data Analytics using R

2

 

2

3

Core                                                        Pre-Requisite: BA 1.8

DSE,AECC

TOTAL CREDITS                                                                                

24

 

 

 

 

S.No.

Paper ID

Subject Code

Subjects

Teaching Load

Credits

Core/Elective

Pre-Requisite/

Co Requisite

Type of Course:

1. CC

2. AECC

3. SEC

4. DSE

L

T

P

THEORY SUBJECTS

 

1.

 

BA 3.1

Decision and Risk Analytics

3

 

 

3

Core

SEC

2.

 

BA 3.2

Business Forecasting and Econometrics (using R)

2

 

2

3

Core

SEC

3.

 

BA 3.3

Prescriptive Analytics-Optimization Techniques Using Excel Solver

2

 

2

3

Core

SEC

4.

 

BA 3.4

Predictive Analytics 1 Using R

2

 

2

3

Core                                                              Pre-Requisite: BA 1.8

SEC,AECC

5.

 

BA 3.5

Data Warehousing for Analytics using R

2

 

2

3

Core                                                    Pre-Requisite: BA 1.8

SEC,AECC

Practical/Viva-Voce/Jury

 

6.

 

BA3.6

LAB 6: Enterprise Resource Planning (ERP)

2

 

2

3

Core

DSE,AECC

7.

 

BA 3.7

Summer Training Report & Presentation

 

 

 

4

Core

DSE,AECC

TOTAL CREDITS                                                                

22

 

 

 

 

S.No.

Paper ID

Subject Code

Subjects

Teaching Load

Credits

Core/Elective

Pre-Requisite/

Co Requisite

Type of Course:

1. CC

2. AECC

3. SEC

4. DSE

L

T

P

THEORY SUBJECTS

 

1.

 

BA 4.1

Time Series Analysis with Excel and Minitab

2

 

2

3

Core

DSE,AECC

2.

 

BA 4.2

Predictive Analytics 2 Using R

2

 

2

3

Core                                                                      Pre-Requisite: BA 1.8

DSE,AECC

3.

 

BA 4.3

Big Data, Text Analytics & Web Analytics

2

 

2

3

Core

DSE,AECC

4.

 

BA 4.4

Cloud Computing + Hadoop+ Map Reducing

2

 

2

3

Core

DSE,AECC

Practical/Viva-Voce/Jury

 

5.

 

BA 4.5

LAB 7: Multivariate Data Analysis

2

 

2

3

Core

DSE,AECC

6.

 

BA 4.6

Dissertation Report & Viva Voce

 

 

 

5

Core

DSE,AECC

TOTAL CREDITS                                                                      

20

 

 

 

 

Eligibility Criteria
For National Students
  • Graduation with minimum 50% marks.
  • Proficiency in English communication.
  • SUAT (Online Test)

OR

  • MAT with 75% percentile or above score.

OR

  • CAT/XAT with 65% percentile or above score followed by Group Discussion & Personal Interview
For International Students The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program.
Career path you can choose after the course
  • Data Scientist
  • Health Care Analyst 
  • Statistician 
  • Predictive Modeller
  • Quantitative Analyst
  • Project Manager
  • Market Research Analyst
  • Computer System Analysts
  • Technical Team Leader
  • Data Analyst
  • Business Analyst
  • Financial Analyst
  • Marketing Analytics Manager
  • Pricing Analyst
  • Supply Chain Analyst
  • Website Analyst
  • Fraud Analyst
  • Retail Sales Analyst
  • Clinical Analyst

Students of this programme are placed in companies with an average annual package of 3.52  LPA to 9.60 LPA

Take the next step towards a career in management.

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