The Master of Science in Biomedical Data Science is the first graduate programme in the Asia-Pacific region offering data science training for specific application in the biomedical domain. The programme is a joint collaboration between Nanyang Technological University (NTU) and the Agency for Science Technology and Research (A*STAR) Singapore.
The programme duration is one year (maximum two years) for full-time studies. Students enrolled for part-time studies may complete this over a period of two years (max four years). The curriculum is developed by current practitioners and informed by industry experts in the pharmaceutical, healthcare and tech sectors. Unlike other taught graduate programmes, the curriculum emphasizes on hands-on learning and practical skill acquisition. You will have the opportunity to specialize in any of the 3 tracks: Bioinformatics, Biotechnology or Artificial Intelligence.
Upon graduation, you will be able to
- Demonstrate a deep understanding of applied mathematics and statistics
- Exhibit proficiency in developing and programming Data Science and AI technologies
- Apply these skills meaningfully on real-world problems
For enquiries, please email to email@example.com
Master of Science in Biomedical Data Science
School of Biological Sciences
Nanyang Technological University, Singapore
60 Nanyang Drive
Graduates may retool towards data-analytics or technology-oriented roles in their home companies or pursue further specialization and training in academia. These skillsets are not relevant to merely biomedical research and healthcare, and are highly sought after in other sectors such as banking and finance, energy, government, transport, etc. Experienced graduates may eventually move into strategic planning and decision-making roles using data-centric approaches.
In addition, we will also facilitate project placements in industry and government sectors. Tie-ups with data science training and placement companies e.g. UpLevel, will help you ensure that you get the best possible exposure and training opportunities.
For full time students, the minimum period of candidature is 1 year, and the maximum period of candidature is 2 years. For part time students, the minimum period of candidature is 2 years, and maximum period of candidature is 4 years.
Indicative calendar is appended below. Click here to check for any update on Trimester Calendar for Graduate Programme.
25 July 2022 – 21 Oct 2022 (13 weeks)
7 Nov 2022 – 16 Dec 2022 (6 weeks)
Recess week: 19 Dec 2022 – 30 Dec 2022 (2 weeks)
02 Jan 2023 – 17 Feb 2023 (7 weeks)
27 Feb 2023 – 26 May 2023 (13 weeks)
Upon acceptance of offer
Year 1, start of Trimester 1
Year 1, start of Trimester 2
Year 2, start of Trimester 1
*All fees are inclusive of GST