Master of Science in Computational Data Science
About This Programme
A 30-credit master's in model estimation, advanced statistical inference, machine learning and generative AI, with concentrations in Computational Systems or Data Analytics.
Course Highlights
- Optional concentrations in Computational Systems or Data Analytics
- Core covers distributed systems and cloud computing, model estimation, advanced statistical inference, and data science with machine learning
- Electives range across health and space-time data science, HPC, GPU programming, NLP, blockchain, and financial machine learning
- 9-credit master's thesis in a chosen data-science domain
What You'll Study
On-campus, full-time study blending 21 credits of taught computing and statistics courses with a 9-credit master's thesis, with optional concentrations in Computational Systems or Data Analytics.
Core Courses
- ENGR 695 Seminar in Research Methods0 credits
- CODS 608 Distributed Systems and Cloud Computing3 credits
- CODS 610 Model Estimation3 credits
- CODS 620 Advanced Statistical Inference3 credits
- CODS 622 Data Science with Machine Learning3 credits
Electives (select 3)
- CODS 623 Health Data Science3 credits
- CODS 624 Space-Time Data Science3 credits
- CODS 634 Artificial Intelligence3 credits
- CODS 635 Deep Learning Systems Design3 credits
- CODS 636 Introduction to High Performance Computing3 credits
- CODS 637 GPU Programming3 credits
- CODS 641 Natural Language Processing and Information Retrieval3 credits
- CODS 642 Database Systems Concepts and Design3 credits
- CODS 644 Data Science for Business Applications3 credits
- CODS 650 Data Processing and Visualization3 credits
Thesis
- CODS 699 Master's Thesis9 credits
Entry Requirements
Some programmes are nationality-restricted (e.g. Nuclear Engineering; International and Civil Security).
Careers
Graduates move into data-science, machine-learning, and computational-systems roles across finance, healthcare, energy, and government, or continue into PhD research.
Accreditation & Professional Recognition
CAA (MoE)
Programme Details
Award
Master of Science in Computational Data Science
Start Date
August 2026 (Fall; Spring intake for many programmes)
Typical Offer
Bachelor's degree in computing, engineering, mathematics, or a quantitative discipline with a minimum CGPA of 3.0 on a 4.0 scale, plus English proficiency (IELTS 6.5 / TOEFL iBT 91).
Duration
2 years
Qualification
Masters
Subject Area
Computer Science
Campus
Abu Dhabi
Course Type
Master of Science
Study Pattern
Full time
Delivery Format
In person
Tuition Fee
AED 150,000/yr
Apply online via ku.ac.ae with transcripts, references and a statement of purpose. Scholarships are assessed automatically at admission. Master's awards may cover tuition in full or in part and carry no stipend; PhD awards are competitive and merit-based, and may carry a full or partial tuition waiver plus a monthly stipend whose amount Khalifa University does not publish.