Program Highlights & Academic Edge
Curriculum & Paper Codes (BNU Guidelines)
The 2-Year MBA structure follows Bengaluru North University (BNU) and AICTE academic regulations, combining foundational managerial mastery with advanced domain electives and experiential dissertation defense.
| Paper Code | Subject / Course Module |
|---|---|
| 1.1 | Management & Organizational Behaviour |
| 1.2 | Accounting For Managers |
| 1.3 | Statistical Analysis For Managerial Decision |
| 1.4 | Marketing Management |
| 1.5 | Economics For Managers |
| 1.6 | Innovation & Entrepreneurship |
| 1.7 | Corporate Communication |
| Paper Code | Subject / Course Module |
|---|---|
| 2.1 | IT and Analytics For Business Leaders |
| 2.2 | Quantitative Techniques & Operations Management |
| 2.3 | Human Capital Management |
| 2.4 | Financial Management |
| 2.5 | International Business Dynamics |
| 2.6 | Family Business Management And Legal Framework |
| 2.7 | Strategic Soft Skills For Managers |
| Paper Code | Subject / Course Module |
|---|---|
| 3.1 | Business Research Methods |
| 3.2 | Strategic Management & Corporate Governance |
| BA-3.3 | Data Management & SQL for Business Analysis |
| BA-3.4 | Python for Managerial Analytics & Statistics |
| BA-3.5 | Predictive Modeling & Machine Learning in Business |
| BA-3.6 | Data Visualization & Dashboarding with Power BI |
| 3.7 | Analytics Hackathon / Industry Data Internship |
| Paper Code | Subject / Course Module |
|---|---|
| BA-4.1 | Big Data Analytics & Cloud Solutions for Business |
| BA-4.2 | Marketing & Web Analytics |
| BA-4.3 | Financial Risk & Fraud Analytics |
| BA-4.4 | AI & Generative AI Applications for Executives |
| 4.5 | Business Analytics Capstone Dissertation & Model Defense |
Educational Objectives & Learning Outcomes
Program Educational Objectives (PEOs)
Translate massive structured and unstructured datasets into strategic business solutions and competitive advantage.
Program Outcomes (POs)
Develop robust predictive models using Python and statistical algorithms to optimize enterprise operations.
Centre for Industry Partnership (CIP) Internships
Internships are an essential pillar of the experiential MBA journey at IASMS. Facilitated through the Centre for Industry Partnership (CIP), students undertake structured 3 to 6-month corporate internships aligned with their chosen dual specialisations.
Career Pathways & Executive Job Roles
Graduates of MBA in Business Analytics & Intelligence from IASMS enjoy diverse placement opportunities across global consulting firms, Fortune 500 multinationals, technology conglomerates, and high-growth venture-backed enterprises.
Eligibility Criteria & Admission Guidelines
Bachelor's degree in any discipline (Engineering, BCA, B.Sc, B.Com, BBA, B.A.) with minimum 50% marks (relaxation for SC/ST) from a recognized university, and entrance score in PGCET / KMAT / MAT / CAT / CMAT / XAT.
Accepted Entrance Examinations
Karnataka PGCET | KMAT | MAT | CAT | CMAT | XAT | ATMA
Candidates in the final year of their Bachelor's degree are also eligible to apply provisionally. SC/ST candidates are eligible for marks relaxation per government norms.
Frequently Asked Questions
Do I need coding background to pursue MBA Business Analytics at IASMS?
No prior programming experience is required. The curriculum begins with foundational IT & Analytics for Business Leaders in Semester 2 and teaches Python, SQL, and Power BI from introductory concepts onward.
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