Master of Science in Computational Biology

Apply Now More Information

START YOUR JOURNEY NOW

More Information

Home / Study AI Degrees / Artificial intelligence master’s programs / Master of Science in Computational Biology

Overview

The goal of the Master of Science in Computational Biology is to equip students with knowledge and skills in both biology and computational sciences including programming, machine learning, statistics, and bioinformatics. The program prepares students for collaborative work with biologists, chemists, and clinicians by fostering interdisciplinary communication and teamwork. The program aims 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. It makes significant contributions to both the academic world and the broader scientific community while supporting the UAE societal and economic goals and transformation agenda, and bridges gaps between disciplines and industries and build a collaborative platform for the UAE biotechnology and healthcare ecosystem, with strong connections to the state-of-the-art international biotechnology research and industry.

This program is under development with an anticipated start date of fall 2026. Program details are subject to revision as the regulatory processes are completed. Please complete the form at the bottom of the page to express your interest.

Mode: Full-time
36 credits
Location: On campus

The Computational Biology Department at MBZUAI sits at the cutting edge of biology, medicine, and AI. Our faculty lead efforts to model complex biological systems and extract insights from large-scale molecular data. Flagship initiatives like the Human Phenotype Project (HPP) and analysis of the Emirati Genome Project provide rich, multi-omic datasets that fuel research in systems biology, genetics, biomarker discovery, and AI-driven disease prediction. Through this work, we aim to transform precision medicine and prepare the next generation of scientists to lead in data-driven healthcare innovation.