About MBA AI & Data Science
GEU's MBA in Artificial Intelligence and Data Science is a two-year management programme designed for students who want to combine business knowledge with advanced data and AI capabilities. The official curriculum includes programming, machine learning, data engineering, business intelligence and generative AI.
Students interested in analytics, AI-enabled products, digital transformation, business intelligence and technology-led strategy. It is particularly relevant if you want technical exposure without leaving the management career track.
Eligibility
GEU lists the programme as a two-year postgraduate course. The university's MBA admission information requires a bachelor's degree of at least three years from a recognised university, with final-year students eligible to apply.
Admission Process
Admission follows the university's management admission workflow: online application, document submission, fee payment and applicable assessment/interview. Valid CAT/MAT/XAT/CMAT/NMAT scores may provide aptitude-test exemption under university policy.
Fees
The current public fee page for the general MBA uses merit/entrance percentile slabs. GEU's course page does not publish a separate fixed AI&DS fee in the programme description, so students should use the live fee schedule linked by the university before payment.
Confirm the 2026 AI&DS fee and applicable scholarship slab from GEU's live fee portal.
AI & Data Science MBA Syllabus
| Term | Published curriculum examples |
|---|---|
| Trimester 1 | Foundation of Python, Managerial Economics, Organisational Behaviour, Statistics with Python, Database Management and Data Warehousing |
| Trimester 2 | Marketing, Financial Statement Analysis, Big Data Analytics, Machine Learning Foundation, Cloud Computing and Project I |
| Trimester 3 | Corporate Finance, Strategic Management, Machine Learning-II, Business Intelligence and Project II |
| Trimester 4 | HR Management, Quantitative Finance, GenAI & Prompt Engineering, Data Engineering, AI in Business Transformation and Summer Internship |
Key Skills
Career Options
GEU lists potential pathways such as AI product management, business intelligence, analytics consulting, digital transformation, customer analytics, growth analytics, strategic analytics and technology-enabled management. Actual role eligibility depends on technical capability, projects and employer requirements.
AI & DS MBA FAQs
Is this an MBA or a technical degree?
It is an MBA. The differentiator is the depth of AI and data coursework integrated into the management curriculum.
Does the course teach Python and machine learning?
Yes. The published curriculum includes Foundation of Python, statistics with Python, machine learning, big data analytics and machine-learning projects.
Can this lead to AI product roles?
GEU explicitly lists AI Product Manager and several analytics/digital-transformation roles among possible career pathways.