Business Analytics
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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 | 3 | Elective Courses E |
Data Management | 3 | Elective Courses E |
Business Intelligence and Visual Analytics | 3 | Elective Courses E |
Introduction to Python/MOOC | 3 | Elective Courses E |
Introduction to R/MOOC | 3 | Elective Courses E |
Social Media & Network Analysis | 3 | Elective Courses E |
Machine Learning for Business | 3 | Elective Courses E |
Summer Internship | 6 | Industry Internship ES |
Key
- Theory
- Tutorials
- Practicals
Course | Credits | Study Domain |
---|---|---|
Research Methodology | 2 | Elective Courses E |
MBA Thesis and Publication | 14 | Elective Courses E |
Group Project | 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
- 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)
- Once selected, students need to fill in the admission form
- Pay the tuition fee
- 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
- 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)
- Once selected, students need to fill in the admission form
- Pay the tuition fee
- 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