MBA - Business Analytics

PROGRAM OBJECTIVES

The program is a unique blend of the disciplines of Business Analytics and Management Consulting, carefully designed by academic and industry professionals. The program has the following key features:

  • To cover essentials of art and science in applying Analytics for Businesses.
  • To provide managerial skills with analytical thinking in solving real-world business problems through data-driven insights.
  • Practical training on analytical tools, methodologies, and technologies.

PROGRAM HIGHLIGHTS

  • Comprehensive curriculum consisting of globally benchmarked additional reading materials like HBR cases and uniquely designed assignments to promote practical rigor in every subject.
  • Electives across various domains that are highly industry-relevant, intricately linked to job requirements and include the latest tools and techniques utilized by various industries on global platforms.
  • Opportunities for relevant industry projects and internships across different domains with a focus on analytics.

Course Structure

YEAR I

TERM I (June - Sep)

Sno

Course Title

1

Statistics for Data Analytics

2

Marketing Management

3

Artificial Intelligence for Business

4

Data Wrangling with Python

5

Story Telling with Data

6

Mathematics for Business Analytics

7

Effective Presentation Skills

8

Structured Thinking

TERM II (Sep - Dec)

Sno

Course Title

1

Data Analysis for Decision Making

2

Economics for Managers

3

Managing People at Work

4

Machine Learning Techniques

5

Advanced Python Programming

6

Data Management

7

Soft Skills and Email Etiquette

8

Data Analytics with R

TERM III (Jan - Mar)

Sno

Course Title

1

Multivariate Techniques

2

Managerial Accounting

3

Operations Management

4

Datapreneurship

5

Natural Language Processing

6

Deep Learning

7

Advanced Machine Learning Techniques

8

Big Data Analytics

9

Analytics Project-1

10

Report Writing for Analytics Project

11

Open Source Emerging Tools for

Analyticians

YEAR II

TERM IV (June - Sep)

Sno

Course Title

1

Corporate Finance

2

Strategic Management

3

Machine Learning for Time Series Forecasting

Data Governance

5

Advanced Deep Learning

6

Advanced Big Data Analytics

7

Analytics Project-2

8

Data Analysis with Analytical Software Suite

TERM V (Sep - Dec)

Sno

Course Title

1

Stochastic Processes for Analyticians

2

Analytics using Simulation Models

3

Web Analytics

BlockChain for Managers

5

Optimization Analytics

6

Functional Elective-1

7

Functional Elective-2

8

Analytics Project-2

TERM VI (Jan - Mar)

Sno

Course Title

1

Functional Elective-3

2

Cross Functional Elective-1

3

Cross Functional Elective -2

4

CAPSTONE LIVE PROJECT~

SUMMER TERM (April to June) - 2.5 months

Sno

Course Title

1

SUMMER INTERNSHIP PROGRAM

Cross Functional Electives (CE)

 

Functional Elective Track (FE)

HR Track

CFE : Track - 1

Work Force Analytics

Business Negotiation

Compensation Analytics

International Business

People analytics

CFE : Track -2

Finance Track

Strategic Implementation and Control

Risk Analytics

Managing Strategic Change

Fraud Analytics

Functional Elective Track (FE)

Portfolio Analytics

GENERAL Track

Marketing Track

Healthcare Analytics

Retail Analytics

Pharma Analytics

Pricing Analytics

Sports Analytics

CRM Analytics

Telecom Analytics

Operations Track

Energy Analytics

SCM Analytics

 

Logistics Analytics

Service Analytics

Eligibility Criteria and Intake

  • Graduates in Engineering, Mathematics, Statistics or Commerce discipline with minimum 55% marks or equivalent CGPA from a recognized university.
  • Preferred 1 year of full-time and relevant work experience as on commencement of program.
  • Qualifying NMAT Scores, Group Discussion (GD) and Personal Interview (PI).
  • Total intake of 120-140
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