Overview

Industry 4.0 has witnessed large scale adoption of Business Analytics (BA) all over the world. In the developed world, mere information consumption of historic events (Descriptive Statistics) has progressed into probability and forecasting models (Predictive Analytics). This leads to prediction of future events before they occur and offer avenues to managers to improve business decisions (Prescriptive Analytics). Applied thinking is being implemented to achieve superior value for all stakeholders. Hence, there is a growing need for trained analytics professionals who can implement various business analytics solutions for profitability and eventually, competitive advantage of their firm.

There is a gap in knowledge as evidenced by the large number of jobs available and shortage of professionals in Data Science and Business Analytics domains. Skills required for the job of Data Scientist and Business Analytics professionals include analyzing reports on the business as to how it has performed in the past (Descriptive Analytics), creating prediction models as to what variables in the Business get impacted (Predictive Analytics) and discovering how the business needs to adapt in order to capitalize on the specific opportunity (Prescriptive Analytics).

To cater to the demand, Faculty of Management and Commerce at MSRUAS offers post-graduate degree in M.B.A (Business Analytics).

The aim of the Programme is to impart knowledge in the domain of Business analytics so that students are able to convert data into actionable insights for better decision-making and enhanced business performance.

The Programme covers: critical review of concepts and principles of Management and relation with Business Analytics, definition of organisational problems in the context of Business Analytics, understanding of Big Data and Data Analytics, metrics for development of effective Business Reports, skills related to Data Visualization to produce reports aimed at improving Business performance, contemporary tools in Machine Learning and Artificial Intelligence (AI), Descriptive statistics, predictive framework to proactively identify potential problems and appropriate software to facilitate decision making.

Coursework includes study of basic business functions of Management and Busines Analytics followed by Data Analytics, Data Management, Business Intelligence and Visual Machine Learning for Business Analytics, Introduction to Python, Introduction to R, Social Media and Network Analysis and Machine Learning for Business.

Structure

Course Credits Study Domain
Data Analytics

E1 Theory Tutorials

3 Elective Courses E
Data Management

E2 Theory Tutorials

3 Elective Courses E
Business Intelligence and Visual Analytics

E3 Theory Tutorials

3 Elective Courses E
Introduction to Python/MOOC

E4 Theory Practicals

3 Elective Courses E
Introduction to R/MOOC

E5 Theory Practicals

3 Elective Courses E
Social Media & Network Analysis

E6 Theory Practicals

3 Elective Courses E
Machine Learning for Business

E7 Theory Practicals

3 Elective Courses E
Summer Internship

ES Practicals

6 Industry Internship ES

Key

  • Theory
  • Tutorials
  • Practicals

Course Credits Study Domain
Research Methodology

E8 Theory

2 Elective Courses E
MBA Thesis and Publication

E9 Practicals

14 Elective Courses E
Group Project

E10 Practicals

5 Elective Courses E

Key

  • Theory
  • Tutorials
  • Practicals

Admissions

Eligibility

  • Indian Nationals

    • Candidates must have pass in BE, MCom, MSc., BBA, BBM, MA, BCom, BSc, BA, or equivalent grades from a recognized University with a minimum of 50% aggregate marks.
    • SC/ST candidates can apply with a lower qualifying mark as per the Government notification

Application Process

Through PGCET

  1. Students seeking admission are required to appear and qualify the Postgraduate Common Entrance Test (PGCET) conducted by Karnataka Examination Authority (KEA) in Bangalore (PGCET Code: B348)
  2. Once selected, students need to fill in the admission form
  3. Pay the tuition fee
  4. Submit documents to the University

See documents for Indian Nationals

Fees & Scholarships

Government Seats

  • As per the Government of Karnataka for Indian nationals

University Seats

  • Refer Fee Structure

Eligibility

    • Candidates must have passed in equivalent and eligibility equivalence from AIU (Association of Indian Universities).
    • Candidates should have proof of proficiency in English with a minimum TOEFL score of 8.

Note: Up to 15% of seats are reserved for Foreign/​NRI Students.

Application Process

Through PGCET

  1. Students seeking admission are required to appear and qualify the Postgraduate Common Entrance Test (PGCET) conducted by Karnataka Examination Authority (KEA) in Bangalore (PGCET Code: B348)
  2. Once selected, students need to fill in the admission form
  3. Pay the tuition fee
  4. Submit documents to the University

See documents for Indian Nationals

Fees & Scholarships

NRI/​Foreign Students/​SAARC:

Financial Management

USD 7,000 + Other Fee Rs. 38,550 per annum

Human Resource Management

USD 7,000 + Other Fee Rs. 38,550 per annum

Marketing Management

USD 7,000 + Other Fee Rs. 38,550 per annum

Operations Management

USD 7,000 + Other Fee Rs. 38,550 per annum

Small Business and Entrepreneurship

USD 7,000 + Other Fee Rs. 38,550 per annum

Banking and Financial Services

USD 7,000 + Other Fee Rs. 38,550 per annum

Business Analytics

USD 7,000 + Other Fee Rs. 38,550 per annum

Hospitality Management

USD 6,000 + Other Fee Rs. 38,550 per annum

Pharma Business Management

USD 6,500 + Other Fee Rs. 38,550 per annum