Program Overview

Master of Science in Computational Biology

The Master of Science in Computational Biology is a research-based degree that equips students with knowledge and skills in both biology and computational sciences. The program prepares students for collaborative work with biologists, chemists, and clinicians by fostering interdisciplinary communication and teamwork.

Overview

The goal of the program is to prepare students to join the workforce in biotechnology and healthcare or to pursue a Ph.D. The program supports the development of the UAE biotechnology and health ecosystem by developing a highly skilled workforce in computational biology and bioinformatics.

Program Details

• Mode: Full-time
• Credits: 36
• Location: On campus

Program Learning Outcomes

The program learning outcomes (PLOs) are aligned with the Emirates Qualifications Framework and are divided into three learning outcomes strands: knowledge (K), skills (S), and responsibility (R). Upon completion of the program requirements, graduates will be able to:

• Critically evaluate and analyze scientific literature across computational biology, life sciences, and engineering.
• Apply a range of computational tools and technologies to address problems of varying complexity.
• Utilize methods and tools to integrate, analyze, and interpret biological data from various sources.
• Independently design and execute scientific experiments.
• Appraise and communicate data and scientific findings effectively.
• Function effectively as a member or leader of a team engaged in collaborative research projects.

Completion Requirements

The minimum degree requirements for the Master of Science in Computational Biology program is 36 credits, distributed as follows:

• Core courses: 16 credits
• Electives: 8 credits
• Internship: 2 credits
• Introduction to research methods: 2 credits
• Research thesis: 8 credits

Core Courses

All students must take the following courses:

• CBIO799: Computational Biology Master's Research Dissertation
• CBIO7101: Introduction to Single Cell Biology and Bioinformatics
• CBIO7102: Introduction to Molecular Biology for Machine Learning
• CBIO7103: Analyzing Multi-omics Network Data in Biology and Medicine
• CBIO7104: Computational Genomics and Epigenomics
• INT799: Internship
• RES799: Graduate Research Methods

Elective Courses

Students will select a minimum of two elective courses from the list, which includes:

• AI7101: Machine Learning with Python
• AI7102: Introduction to Deep Learning
• CBIO8501: AI and Deep Learning for Biomedical Data
• CBIO8502: Advanced Topics in Machine Learning for Biology
• CV701: Human and Computer Vision
• CV702: Geometry for Computer Vision
• CV703: Visual Object Recognition and Detection
• CV707: Digital Twins
• DS701: Data Mining
• DS702: Big Data Processing
• DS703: Information Retrieval
• DS704: Statistical Aspects of Machine Learning Theory
• HC701: Medical Imaging: Physics and Analysis
• ML701: Machine Learning
• ML710: Parallel and Distributed Machine Learning System
• ML804: Advanced Topics in Continuous Optimization
• ML806: Advanced Topics in Reinforcement Learning
• ML808: Causality and Machine Learning
• ML8101: Foundations of Machine Learning
• ML8102: Advanced Machine Learning
• ML8501: Algorithms for Big Data
• ML8507: Predictive Statistical Inference and Uncertainty Quantification
• ML8509: Collaborative Learning
• MTH702: Optimization
• MTH703: Mathematics for Theoretical Computer Science
• MTH7101: Mathematical Foundations of AI
• NLP701: Natural Language Processing
• NLP702: Advanced Natural Language Processing
• NLP703: Speech Processing
• NLP808: Current Topics in Natural Language Processing
• NLP809: Advanced Speech Processing
• NLP8506: Generative AI-powered Educational Applications
• NLP8507: Agent Systems Powered by Large Language Models

Admission Criteria

• Completed degree: Bachelor's degree in a STEM field from a university accredited by the UAE Ministry of Higher Education and Scientific Research (MoHESR) with a minimum CGPA of 3.0.
• English language proficiency: IELTS Academic (6.5), TOEFL iBT (90), PTE Academic (60), Cambridge C1 Advanced (180), or Cambridge C2 Proficiency (200).
• Graduate Record Examination (GRE) scores are optional.
• Statement of purpose: A 500- to 1000-word essay explaining motivation for applying, personal and academic background, experience, achievements, goals, and career plans.
• Referee recommendation: A minimum of two referees, including at least one previous course instructor or faculty/researcher advisor.
• Screening exam: An online exam assessing knowledge and skills relevant to the chosen field.

Admission Process and Key Dates

• Application portal opens: November 14, 2025
• Final deadline: February 27, 2026
• Decision notification date: April 15, 2026
• Offer response deadline: May 1, 2026

Study Plan

A typical study plan includes:

• Semester 1: CBIO7102, CBIO7103, and one elective
• Semester 2: CBIO7104, CBIO7101, and one elective
• Summer: INT799 Master of Science Internship
• Semester 3: CBIO799, RES799
• Semester 4: CBIO799