Want to study Computational Biology at MBZUAI?
For our 2027 cohort we are offering fully funded masters and PhD scholarships to study in Computational Biology at MBZUAI in Abu Dhabi with excellent student support in a highly collaborative and interdisciplinary research environment with faculty coming from the world’s leading universities.
We are recruiting our 2027 MSc and PhD cohorts in Computational Biology. Every admitted student is fully funded (AED 15,500/month for MSc students and AED 17,500/month for PhD students). That covers housing, a monthly stipend, travel, healthcare and other benefits. The current stipend rates are on MBZUAI’s scholarship page, linked below. All first-year students get on-campus housing, and we handle visas and arrival logistics, so you have a place to live and everything is ready when you land. The MSc is 2 years and the PhD is 4 years.
Our Faculty and Research
Our faculty trained and worked at places like Harvard, Stanford, Caltech, UC Berkeley, UCL and EMBL. We also work closely with collaborators around the world and with hospitals here in Abu Dhabi, including Cleveland Clinic Abu Dhabi. Our research covers multi-omics, single-cell analysis, cancer, biomedical foundation models, digital health, epidemiology, personalized medicine and much more.
Several of our groups work with two large population health datasets. One is the Emirati Genome Program, which is one of the largest population genomics programs in the world and has sequenced more than 900,000 Emirati genomes. The other is the Human Phenotype Project, a deep-phenotyping cohort that follows participants over time and combines genetics, microbiome, metabolomics, blood tests, and continuous glucose and sleep monitoring to build AI models that predict disease onset and progression.
How the Programs Work
We modeled our Computational Biology graduate programs after Caltech’s bioengineering PhD program, where I did my PhD, to be flexible and interdisciplinary by design. Our current students come from many different backgrounds: biology, medicine, bioengineering, computer science, statistics, physics, chemistry and more. What we look for is a genuine interest in biology and a solid quantitative and programming foundation.
During your first year in the program, you will choose courses that support the research you want to do. MSc and PhD students follow the same integrated program, and strong MSc students can articulate into the PhD in their second year. Every student also completes a fully funded 3-month internship at a top academic or industry lab anywhere in the world.
Our students come from all over the world, and our Computational Biology programs have a 50/50 gender ratio. Our inaugural Computational Biology cohort this year had 48 students, and next year we plan to admit a larger cohort.
Applications and Admissions
Applications are open now and close on January 22. We review applications and send offers on a rolling basis, so it pays to apply early.
There are two stages:
- Our faculty review your application and choose who to interview.
- If you’re selected, four faculty members interview you. After that, we make a final decision and send offers.
The gap between applying and being interviewed can be as short as two weeks. MBZUAI now charges a university-wide application fee of AED 200, but it’s waived if you score 75% or above on the screening exam.
Required Application Materials
To submit your application to Computational Biology, you need to prepare the following materials for both MSc and PhD applications:
- A personal statement (ideal length: 2 pages)
- A research statement (ideal length: 2 pages)
- A CV (shorter is better)
- Letters of recommendation (minimum 2 for MSc and 3 for PhD)
- A 90-second personal statement video
- A 90-second research statement video
Below are some useful links. Ask me anything!
Useful Links
- Biological and Life Sciences Division — the division that runs the Computational Biology programs
- MSc in Computational Biology
- PhD in Computational Biology
- MBZUAI Scholarships and Graduate Admissions
- Biological and Life Sciences Faculty
- My Faculty Page: Eduardo Beltrame
- From Silicon Valley to Social Impact Through Science and Education — an interview with me
- Why the Future of Personalized Medicine Will Require New Machine Learning Tools and Methods for Analyzing Single-Cell Omics Data — an article about my research