Overview
The M.Sc. Data Science in Biomedicine at University of California, Los Angeles (UCLA) is designed to equip the next generation of researchers with the computational tools necessary to transform modern patient care. This programme bridges the gap between foundational data science and complex biological applications, ensuring graduates can navigate the rapidly evolving healthcare landscape.
Students engage with a curriculum that emphasises the practical application of artificial intelligence to electronic health records, medical imaging, and genomic sequencing. By mastering these technologies, participants learn to extract meaningful patterns from vast datasets to drive medical discovery and innovation.
Why Data Science in Biomedicine at University of California, Los Angeles (UCLA)?
What distinguishes this programme is its unique integration of rigorous technical training with direct biomedical research applications. Students gain a deep understanding of how data science methodologies function "under the hood," providing them with the theoretical foundation required to develop entirely new analytical methods.
Instruction is provided by active researchers who operate at the intersection of computer science and medicine, ensuring that the coursework reflects the latest industry breakthroughs. Furthermore, the university provides access to specialised initiatives such as UCLA Biodesign AI and UCLA Biobank AI, fostering an environment of cutting-edge innovation.
Tuition Fee Breakdown
- International fee: USD 36297 per year
- National fee: USD 36297 per year
- Local fee: USD 21115 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum focuses on the intersection of advanced computation and clinical data. Modules may include:
- Machine Learning
- Statistics
- Data Mining
- Algorithms
- Analytics
- Genomics
- Electronic Health Records
- Medical Images
Careers with Data Science in Biomedicine
Graduates are prepared for high-impact careers within the biotechnology and pharmaceutical industries, where there is a significant demand for experts who understand both data science and clinical technology. The programme develops the skills necessary to lead research teams and implement data-driven solutions in healthcare settings.
Programme Structure
Courses include
- Data Science
- Machine Learning
- Statistics, Data Mining
- Algorithms
- Analytics with applications to Genomics
- Electronic Health Records
- Medical Images
Key information
Start dates & application deadlines
- Starting
- Apply before
-
Language
Credits
Delivered
Campus Location
- Beverly Hills, United States
Disciplines
Biomedical Science Data Science & Big Data View 471 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
Other requirements
General requirements
- The minimum requirements for admission to graduate study at UCLA are:
- A bachelor’s degree
- A GPA of 3.0 in the last two years of undergraduate coursework
- TOEFL/IELTS scores that meet or exceed the minimum (required for international applicants
- only)
- Technical Skills
- MS Data Science in Biomedicine requires the evidence of strong technical ability which can be demonstrated either by:
- A degree in engineering, computer science, mathematics, physics, chemistry, or the equivalent with coursework in programming
- Outstanding letters of recommendation addressing your work experience in the area with details about technical ability
Tuition Fees
-
International Applies to you
Applies to youNon-residents36297 USD / year≈ 36297 USD / year - Out-of-State36297 USD / year≈ 36297 USD / year
-
Domestic
Applies to youIn-State21115 USD / year≈ 21115 USD / year
Additional Details
The non-refundable application fee is $135 USD for US citizens and Permanent Residents, and $155 USD for all other applicants.
Living costs
Beverly Hills
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science in Biomedicine.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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