Business Analytics is used by Companies to data-driven decision-making. Simply it’s a study of data through statistical and operations analysis, the formation of predictive models, applications used for optimizing techniques, etc. This branch of management involves exploration and analysis of present data to gain insight into the planning and execution of future business strategy and goals. Business Analytics helps in optimizing operations, increasing revenue by saving on operational cost, improve better customer relations, and predict future trends in the market thereby enabling accurate strategic decisions and business plans.
What the course focuses on?
- Learning how to generate data using different tools.
- Training in proper tools of data analysis.
- Planning business strategies and goals
- Techniques for predicting future trends
- Procedure for analyzing customer relations
Highlights:
| Course Name | Business Analytics |
|---|---|
| Course Level | MBA, PG Diploma |
| Duration |
|
| Examination Type | Semester |
| Eligibility | Varies with course |
| Admission Process | Merit and Entrance based admission |
| Top Recruiters | Accenture, Hewlett Packard, IBM, Cognizant, Tata Consultancy Services, American Express, Amazon, Eureka Forbes, etc |
| Top Career Scopes | Business Analyst, Quantitative Analyst, Data Analyst, Business Intelligence Expert, etc |
Top Colleges
- Indian Institute of Management, Calcutta
- Indian Institute of Management, Lucknow
- Symbiosis Institute of Management, Pune
- Institute of Engineering and Management, Kolkata
- Parul University, Vadodara
- Indian Institute of Management, Indore
- Indian Institute of Technology, Kharagpur
- Balaji Institute of Modern Management, Pune
- National Institute of Technology, Tiruchirappalli
- Pondicherry University, Puducherry
Eligibility:
| Course | Duration | Eligibility | Entrance |
|---|---|---|---|
| MBA in Business Analytics | 2 years |
|
CAT, MAT, GMAT, XAT, CMAT, SNAP, etc. |
| PG Diploma in Business Analytics | 2 Years or 1 Year |
|
CAT, MAT, GMAT, XAT, CMAT, SNAP, etc. |
Skills Required
- Excellent Communication Skills
- Inquisitive Minds
- Problem Solving Abilities
- Critical Thinking Abilities
- Visualization
- Detail Oriented
- Ability to concentrate on the big picture
Syllabus:
MBA in Business Analytics
| Semester 1 | Semester 2 |
|---|---|
| Quantitative Methods | Financial Management |
| Management Information Systems | Operations Management |
| Managerial Economics | Human Resource Management |
| Financial Accounting | Financial Analytics |
| Marketing Management | Optimization Analytics |
| Organizational Behaviour | Stochastic Modeling |
| Statistical Analysis | Business Intelligence |
| Data Modeling | Research Methods |
| Computational Methods | |
| Managerial Communication |
| Semester 3 | Semester 4 |
|---|---|
| Predictive Analytics | Strategic Management |
| Risk Management | Operations and Supply Chain Analytics |
| Marketing Analysis | HR Analytics |
| Data Mining | Big Data Analytics |
| Simulation Modeling | Ethical and Legal Aspects of Analytics |
| Analytics Systems Analysis & Design | Project Management |
| Industry Internship Program | Professional Development |
| Elective Paper | |
| Analytics Capstone Project |
PG Diploma in Business Analytics
| Module 1 | Module 2 |
|---|---|
| Management Functions & OB | Operations Management |
| Business Statistics | Human Resource Management |
| Managerial Economics | Marketing Management |
| Introduction to IT Systems | Research Methodology |
| Business Communication | Financial Management |
| Financial Accounting | Economics and Social Environment |
| Module 4 | Module 5 |
|---|---|
| Introduction to Big Data | Business Law |
| Data Analytics Using R | International Business |
| Data Analytics Using SAS | Entrepreneurial Management |
| Advanced Analytics | Enterprise Systems |
| Applied Statistics | Management Accounting |
| Study Development | Corporate Governance |
| Case Business Simulation | Project Work |
PG Diploma in Business Analytics (Online)
| First Semester | Second Semester | Electives | Electives | Electives |
|---|---|---|---|---|
| Quantitative Methods | Predictive Analytics | Financial Analytics | Supply Chain Analytics | Analytics for Investment Banking |
| Data Visualization and Communication | Analytics for Competitive Advantage | Project Management | Analytics for Marketing | Financial Risk Models |
| Advanced Statistical Methods | Elective 1 | Analytics for HR | Analytics for Retail Industry | Analytical Models in Finance |
| Foundations of Data Science | Elective 2 | Models in Marketing | Operations Research Models |
Admission Process:
The top colleges in India that offer a degree in Business Analytics have entrance based selection process. Some colleges have their own entrance exams like SNAP, however many institutions accept the scorecard of various national level entrance exams like CAT and MAT. Moreover, there institutes that have a merit-based admission process in which students are selected on the basis of their marks secured in the last academic session.
Top Entrances
- Admit Card Download: October 28 - November 29, 2020
- Exam Date: November 29, 2020 (Sunday)
- Mode of Exam: Computer-Based
- Exam date: 3 October 2020
- IBT Exam date: 1 September 2020 (Slot 6), 2 September 2020 (Slot 7)
- Exam Level: National
- Mode of exam: Online
- Type of questions: Objective and Subjective
- Exam date: 3 January 2021 (9:30 AM - 12:30 PM)
- Exam Level: International
- No.of attempts: 5 times a year
- Exam Frequency: Throughout the Year
- Exam Level: National
- Mode of Exam: Online (Computer- Based)
- Duration of Exam: 3 hrs
- Exam Type: National Level
- SNAP 2020 Exam Dates: 20 December 2020 (Sunday), 6 January 2021 (Wednesday), 9 January 2021 (Saturday)
- Result declaration: 22 January 2021
Career Scope
|
Job profile |
Average salary per year |
|---|---|
| Business Analyst | 8.6 lakhs |
| Quantitative Analyst | 7 lakhs |
| Data Analyst | 6.2 lakhs |
| Business Intelligence Expert | 5.4 lakhs |
Top Recruiters
| Company Name | Company Name | Company Name | Company Name | Company Name | Company Name | Company Name | Company Name | Company Name | Company Name |
|---|---|---|---|---|---|---|---|---|---|
| Accenture | Hewlett Packard | IBM | Cognizant | Tata Consultancy Services | American Express | Amazon | Dell | Eureka Forbes | Flipkart |
| Future Generali | Genpact | GODREJ | HCL | IGATE | IndusInd Bank | Info Edge (India) Ltd | ITC | ITCInfotech | |
| JSW Steel | Le-Meridian | Motorola | Newgen | Oberoi | Radisson | RBS (Royal Bank of Scotland) | Verizon | ||
Top Hiring Cities:
- Delhi
- Mumbai
- Bangalore
- Hyderabad
FAQs
Q: What is the future scope of MBA or PGDM in Business Analytics in India?
A: As per a recent survey, the CAGR (Compounded Annual Growth Rate) of jobs in the emerging fields like Business Analytics, ML (Machine learning), AI (Artificial Intelligence), and BlockChain is 40%. India is going to be the biggest supplier of such resources and manpower to the world soon and this will generate a large number of opportunities.
Q: What can we learn before going for an MBA or PGDM in Business Analytics?
A: You can simply introduce yourself to some of the important concepts of statistics like sigma, sample, sampling techniques, mean, median, mode, normal curves, graphs, R, etc.
Q: Which college is best for doing MBA or PGDM in Business Analytics in India?
A: There are many top colleges that offer an MBA in Business Analytics like IIMs, XLRI, FMSMDI, IIFT, UPES, etc.
Q: Does an MBA or PGDM in Business Analytics require command over programming languages like Java or PHP?
A: Programming Languages are not required unless you are getting into analytical product development However, you will mostly have to learn to code in SAS, R, Python, SQL, etc. for data processing. Again, if you are joining in a managerial role, you can get away with basic familiarity with these programming languages. But, if you really want to learn the skills of the trade, you will need to learn these in greater detail.
Q: What are career prospects after MBA or PGDM in Business Analytics?
A: Successful postgraduates can secure jobs as Business Analyst, Business Analyst Industry Expert, Business Analyst Project Manager, Data Analyst, Big Data Analyst, Data Warehousing Expert, Business Intelligence Expert, and Data Mining Expert, etc. Industries such as Financial Services, Retail, Manufacturing, Healthcare, Oil and Gas, Social Media, Gaming, will also offer employment to candidates. Some of the well-known employers are Accenture, HP, IBM, Cognizant, Tata Consultancy Services, American Express, and so on.
