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MSE offers 2-Year MBA degree in Finance / Business Analytics

The two-year MBA program is designed to offer degrees in Finance and Business Analytics. The academic programme consists of six terms of around 12 weeks each and a 2-3 month Summer Internship between the 3rd and 4th trimesters. Each term consists of 6 courses. Each course carries 3 credits, for a total of 111 credits for the programme.

Why MSE for MBA?

MSE, established in 1993, is an Institution of Special Importance focused on economics education and research. The MBA program leverages this economics-focused institutional background to offer a distinctive quantitative approach to business education.

MBA in Finance This program combines core business management skills with specialized finance knowledge. Students study traditional areas like corporate finance and financial management alongside quantitative courses such as financial econometrics, derivatives pricing, and algorithmic trading. The curriculum balances practical business applications with analytical tools, preparing graduates for diverse roles in banking, investment management, and corporate finance.

MBA in Business Analytics This track develops both managerial competencies and technical data skills. The program covers management subjects while building expertise in programming, statistical analysis, and machine learning. Students explore emerging areas including natural language processing, quantum computing applications, and medical analytics. The curriculum prepares graduates to apply analytical methods to real business problems across consulting, analytics, and strategic analysis roles in various industries.

Credit Structure of Program

Structure of MSE MBA programs

First year
OrientationInduction Program (four week)
Trimester 1 (Aug-Oct)6 Compulsory Courses3 credits each
Trimester 2 (Nov-Jan)6 Compulsory Courses3 credits each
Trimester 3 (Feb-Apr)6 Compulsory Courses3 credits each
Summer Internship  – 3 credits (May-Jul)
Second year
Trimester 4 (Aug-Oct)3 Core & 3 Elective Courses3 credits each
Trimester 5 (Nov-Jan)3 Core & 3 Elective Courses3 credits each
Trimester 6 (Feb-Apr)2 Core & 4 Elective Courses (or)3 credits each
2 Core & 2 Elective Courses + Dissertation3 credits each for the courses and 6 credits for the dissertation

In the first year of the program, students are required to study the compulsory (core) courses. In the second year, students are required to opt for elective courses to strengthen specialization of the program they are enrolled into.

Course Structure Across Trimester

COMMON FIRST-YEAR COURSES

 

GroupTerm ITerm IITerm III
Finance F111 Financial ManagementF121 Finance 1F131 Corporate Finance
ManagementM112 Modern Bank ManagementM122 Global Enterprise Risk ManagementM132 Marketing Management
EconomicsE113 MicroeconomicsE123 MacroeconomicsE133 Financial Econometrics
MathematicsMA114 Quantitative MethodsMA124 Statistics inference with RMA134 Stochastic Process
MA115 Probability with MATLAB*MA125 Linear Algebra in Business
Business AnalyticsBA116 Analytics in BusinessBA135 Big Data
 BA136 Fundamentals of Machine Learning
ProgrammingBA126 Introduction to Python*
Total Credits181818

Note: *MA115 Probability with MATLAB and BA126 Introduction to Python may be interchanged between their
respective trimesters, subject to the availability of faculty and other academic considerations.

SECOND-YEAR COURSES 

 

GroupTerm IVTerm VTerm VI
Finance Finance Elective 1Finance Elective 1Finance Elective 1
Finance Elective 2Finance Elective 2Finance Elective 2
FE0 Stochastic Calculus – CoreFinance Elective 3
ManagementManagement ElectiveManagement Elective
AnalyticsBusiness Analytics Elective 1Business Analytics Elective 1Business Analytics Elective 1
Business Analytics Elective 2Business Analytics Elective 2Business Analytics Elective 2
Business Analytics Elective 3Business Analytics Elective 3Dissertation

 

List of Electives

List of Elective

Finance ElectivesBusiness Analytics ElectivesManagement Electives
FE1 Asset Pricing 1BAE1 Natural Language Processing and Text AnalyticsME1 Banking Management & Financial Services
FE2 Derivatives and Option PricingBAE2 Programming in SQLME2 AI Applications in Management and Business
FE3 Fixed Income ModelsBAE3 Deep and Reinforcement LearningME3: Strategic Management
FE4 Credit Risk ModelsBAE4 Algorithms and Data StructureME4 Taxation Management
FE5 Financial Market MicrostructureBAE5 Applied Multivariate Statistics
FE6 Topics in Financial EngineeringBAE6 Advanced Analytical Models in Decision-Making
FE7 Computational FinanceBAE7 Informational Theory and Cryptography
FE8 Asset Pricing IIBAE8 Topics in Data Science
FE9 Financial Time Series AnalysisBAE9 Medical Analytics
FE10 Algorithmic and High-Frequency TradingBAE10 Robotics
BAE11 Quantum Computing
BAE12 Visualization