Analyse a Listed Company
Semester I
FinancePostgraduate
MBA Investment Banking, Strategy and Management
A two-year MBA for graduates moving into investment banking, equity research and private equity. Every semester ends with a challenge pitched to practitioners, and the course tracks CFA, FRM and NISM.
| Award | MBA Investment Banking, Strategy and Management |
| Length | 2 years (4 semesters) |
| Credits | 96 |
| Level | NHEQF level 6.5 |
| Awarded by | The partner university in India |
| Industry challenges | 4, one per semester |
| Benchmarks | Benchmarked to CFA Levels I and II, GARP FRM and NISM, with global immersions. |
Course structure
Semester by semester
Each semester combines core courses with one applied challenge, assessed by a panel of practitioners.
| Semester | Core courses | Applied challenge | Certification benchmark |
|---|---|---|---|
| Semester I | Accounting for Managers, Corporate Finance, Financial Markets | Analyse a Listed Company | NISM Research Analyst |
| Semester II | Valuation, Equity Research, Strategic Management | Run a Live Portfolio | CFA Level I |
| Semester III | Investment Banking and M&A, Private Equity and Venture Capital, Credit and Structured Finance | Pitch a Deal | NISM Derivatives and FRM Part I |
| Semester IV | Cross-border Transactions, Fintech and AI in Finance, Finance Electives | Advise a Company | CFA Level II after graduation |
Industry challenges
Assessed on real work
Run a Live Portfolio
Semester II
Pitch a Deal
Semester III
Advise a Company
Semester IV
Example: how one course connects to industry
In Investment Banking and M&A, students take on the challenge Pitch a Deal. They submit a investment banking pitchbook, and the work is benchmarked to CFA Level II.
Taught by practitioners
Industry in every year
Taught by practitioners on campus. Every challenge is pitched to a practitioner panel.
Students also attend CXO briefs, can join the startup track and graduate with a portfolio of work and placement support.
AI across the degree
Track I: FoundationExcel, data and generative AI for analysts
Track II: AppliedFinancial modelling with AI
Track III: AdvancedAI and machine learning for finance
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