Build a Business Case for a Technology Investment
Semester I
BusinessPostgraduate
MBA Technology and Business Management
A two-year MBA for graduates who want to lead technology decisions: building business cases, selecting vendors, running product sprints and planning AI rollouts.
| Award | MBA Technology and Business 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 PMI, IIBA, Scrum.org, ITIL 4, Microsoft and AWS, 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 | Enterprise Technology, Data Management and SQL, Accounting for Managers | Build a Business Case for a Technology Investment | PMI and IIBA foundations |
| Semester II | Business Analytics, Process and Enterprise Systems, Corporate Finance | Run a Technology Vendor Selection | Microsoft Power BI |
| Semester III | Product Management, Agile Delivery, AI and Machine Learning for Business | Run a Product Sprint | PMI CAPM and ITIL 4 |
| Semester IV | Technology Strategy, AI Strategy and Cyber Risk, Leading Technology Teams | Plan an AI Rollout for a Company | AWS Cloud Practitioner |
Industry challenges
Assessed on real work
Run a Technology Vendor Selection
Semester II
Run a Product Sprint
Semester III
Plan an AI Rollout for a Company
Semester IV
Example: how one course connects to industry
In Process and Enterprise Systems, students take on the challenge Run a Technology Vendor Selection. They submit a vendor evaluation and cost model, and the work is benchmarked to IIBA.
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: FoundationSpreadsheets, data and generative AI
Track II: AppliedNo-code automation and AI agents
Track III: AdvancedBuilding AI products and agents
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