Discover the top colleges offering MBA in Business Analytics, focusing on course duration, industry placement, and curriculum details. Learn about the coursework, dissertation requirements, and the plethora of career opportunities awaiting graduates in data science and analytics.
MBA in Business Analytics: Top Colleges, Course Duration, and Career Opportunities
Business Analytics is a critical course designed to empower leaders to make data-driven business decisions. An MBA in Business Analytics provides a robust curriculum, combining mandatory analytics courses, dissertation projects, and elective subjects. This amalgamation of knowledge and practical skill development prepares students to excel in the rapidly evolving field of data science.
Top Colleges for MBA in Business Analytics
Indian School of Business (ISB)
Course Duration: 1 year
Industry Placement: Partnerships with top firms like Deloitte and McKinsey
Highlights: Focus on real-world applications and industry projects.
Indian Institute of Management (IIM) Bangalore
Course Duration: 2 years
Industry Placement: Strong placement records with tech giants and consulting firms
Highlights: Comprehensive curriculum with a strong emphasis on data analytics and machine learning.
Great Lakes Institute of Management
Course Duration: 1 year
Industry Placement: Collaborations with leading analytics companies
Highlights: Renowned for its practical approach and extensive industry interface.
SP Jain Institute of Management and Research (SPJIMR)
Course Duration: 2 years
Industry Placement: High placement rates with a focus on data-driven roles
Highlights: In-depth analytics coursework combined with leadership training.
Curriculum and Dissertation
The MBA in Business Analytics coursework is meticulously designed to develop analytical skills. It includes mandatory subjects like Business Statistics, AI & Machine Learning, HR Analytics, Social Media & Web Analytics, and Marketing Analytics. Additionally, elective courses allow students to specialize in areas of interest.
A significant component is the dissertation, spread over three terms. This research project enables students to apply their knowledge to solve real-world problems, fostering critical thinking and research capabilities essential in the business arena.
Career Opportunities
Graduates of MBA in Business Analytics are equipped with a powerful blend of business acumen and analytical expertise. They can pursue various promising career paths, such as:
- Data Analyst
- Business Intelligence Manager
- Financial Analyst
- Marketing Strategist
- Supply Chain Analyst
First Semester Syllabus
Term 1 Syllabus for MBA in Business Analytics – 1st Year
Semester 1 Syllabus for MBA in Business Analytics – 1st Year
| Subject |
|---|
| Accounting for Financial Decisions |
| Advances in Business Communication |
| Marketing Management |
| Managerial Economics |
| Organisational Behaviour and Design |
| Decision Sciences-1 |
| Quantitative Methods, Research Methods Statistical Analysis |
| Management Information Systems |
| Financial Accounting, Financial Management, Financial Analytics |
| Data Modelling, Stochastic Modelling, Simulation Modelling Computational Methods |
| Programming for Analytics |
Semester 2 Syllabus for MBA in Business Analytics – 1st Year
| Subject |
|---|
| Data Visualization & Descriptive Analytics Using R |
| Business Environment & Legal Aspects of Business |
| Data Mining Techniques – Predictive Modeling & Pattern Discovery |
| Business Research Methods |
| Financial Management & Corporate Finance |
| Operations Management |
| Human Resource Management & HR Analytics |
| Business Intelligence & Optimisation Analytics |
| Corporate Communication & Professional Development |
| Managing Digital Transformation |
| Business Ethics and CSR |
| Specialization Paper-II: Cognitive Analytics (Natural Language Processing) / Data Mining (Overview of Data Mining) |
Semester 3 Syllabus for MBA in Business Analytics – 2nd Year
| Subject |
|---|
| Organizational Behaviour & Marketing Management |
| Managerial Economics & Accounting for Managers |
| Quantitative Techniques for Managers & Business Communication |
| Multivariate Techniques & Managerial Accounting |
| Operations Management & Business Environment |
| Cross Functional Electives (1 & 2) |
| Datapreneurship |
| Natural Language Processing & Deep Learning |
| Programming for Analytics |
| Functional Elective-3 & CAPSTONE LIVE PROJECT |
Semester 4 Syllabus for MBA in Business Analytics – 2nd Year
| Subject |
|---|
| Data Analysis for Decision Making & Stochastic Processes for Analyticians |
| Economics for Managers & Analytics using Simulation Models |
| Managing People at Work & Web Analytics |
| Machine Learning Techniques & BlockChain for Managers |
| Advanced Python Programming & Optimization Analytics |
| Data Management |
| Soft Skills and Email Etiquette |
| Data Analytics with R |
| Functional Elective-1 & Functional Elective-2 |
| Analytics Project-2 |
