MSc in Computational Data Science

1 Years On Campus Masters Program

Khalifa University

Program Overview

This Master of Science in Computational Data Science gives you an advanced mix of computer science, statistical modelling and data analytics so you can uncover insights from large data sets and build solutions for real-world problems. It’s ideal for students who want to become data experts in fields like AI, finance, healthcare, telecom and national security, or pursue research and doctoral study.

Curriculum Structure

Year 1 — Core Foundations & Technical Expertise:
In your first year, you establish solid analytical and computational foundations with core courses such as Distributed Systems & Cloud Computing, Model Estimation, Advanced Statistical Inference and Data Science with Machine Learning, where you master essential algorithms and scalable data techniques. You also take electives like Database Systems Concepts and Design, Natural Language Processing & Information Retrieval or Financial Machine Learning to deepen your understanding in specialised areas of data processing, analytics and computational modelling.

Year 2 — Applied Research & Thesis:
The second year focuses on independent research and project application: you engage in the Computational Data Science Graduate Project, applying your technical expertise to real data challenges across domains such as health data, networks or financial analytics. The programme culminates with a Master’s Thesis — a substantial research project where you identify and solve an original computational data science problem under faculty supervision, demonstrating your ability to contribute new insight to the field.

Focus areas:
Machine learning and AI applications; statistical inference; cloud and distributed computing; data processing and visualisation; specialised electives in NLP, financial data and high-performance computing.

Learning outcomes:
You’ll graduate able to process and analyse complex data sets, develop and deploy advanced computational models, manage big data systems, conduct high-quality research, and communicate data-driven insights effectively.

Professional alignment (accreditation):
This MSc is a Level 9 postgraduate qualification recognised by the UAE Ministry of Education’s Commission for Academic Accreditation (CAA), and widely respected internationally for advanced training in AI and data science.

Reputation (employability):
Khalifa University is a top-ranked research university in the UAE with strong industry and research links, and its graduates are sought after for roles like Data Scientist, Machine Learning Engineer, Analytics Consultant, Research Scientist and similar positions in technology, finance, healthcare and government sectors.

Experiential Learning (Research, Projects, Internships etc.)

Students develop applied expertise by working directly with data analysis tools and programming languages, completing a substantial research project, and utilizing high-performance computing resources. The program's practical focus is implemented through several key components:

Core Technical Toolkit: The curriculum provides proficiency in essential data science programming languages and environments, specifically Python and R, which are used for statistical analysis, machine learning, and data visualization.
Capstone Research Project: A central experiential element is a major research thesis. Students must complete an independent, empirical research project that applies data science methodologies to a complex, real-world problem, culminating in a written dissertation.
High-Performance Computing (HPC) Facilities: The program provides access to the university's high-performance computing resources and specialized data science laboratories. These facilities are equipped with the necessary hardware and software to manage and analyze large-scale datasets.
Industry-Relevant Software & Cloud Platforms: In addition to Python and R, students work with contemporary data management and analysis tools. The curriculum includes training on SQL for database management and may involve cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) for big data processing and machine learning model deployment.

Progression & Future Opportunities

Khalifa University's MSc in Computational Data Science graduates thrive in UAE's tech-driven economy, securing roles that leverage big data analytics, machine learning, and computational modeling to optimize sectors like finance, healthcare, energy, and telecom. Typical positions include Data Scientist, Machine Learning Engineer, Financial Data Analyst, and AI Systems Developer.

Progression & Future Opportunities:

University career services provide dedicated job placement support, industry internships, alumni mentoring, and recruitment fairs via the College of Computing and Mathematical Sciences.
Excellent employment stats with near-100% placement in high-demand roles; average starting salaries AED 20,000-35,000 monthly in Abu Dhabi/Dubai tech hubs.
Partnerships with UAE firms (e.g., ADCB, ADNOC, MBZUAI collaborators) offer capstone projects, guest lectures, and direct hiring pipelines.
Rigorous training supports long-term accreditations like AWS Certified Machine Learning or Google Professional Data Engineer, enhancing global mobility.
Strong graduation outcomes include rapid promotions to lead data roles or consulting within 3 years.

Further Academic Progression: Graduates pursue PhDs in Computational Data Science, AI, or related fields at Khalifa University or partners like NYU Abu Dhabi, extending thesis research in areas like distributed systems, deep learning, or space-time analytics.