Programme Overview
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 with direct input from 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 an essential understanding of deep/machine learning for biomedical sciences
- Exhibit proficiency to develop and programme with focus on data analysis and visualization
- Apply data science analytical skills on real-world problems
CONTACT US
For enquiries, please email to [email protected]
Address:
Master of Science in Biomedical Data Science
School of Biological Sciences
Nanyang Technological University, Singapore
60 Nanyang Drive
Singapore 637551
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.
ACADEMIC CALENDAR
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.
Trimester 1 | 7 Aug 2023 - 3 Nov 2023 (13 weeks) |
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Trimester 2 | 13 Nov 2023 – 22 Dec 2023 (6 weeks) |
Recess week: 25 Dec 2023 – 5 Jan 2024 (2 weeks) | |
08 Jan 2024 – 23 Feb 2024 (7 weeks) | |
Trimester 3 | 4 Mar 2024 – 31 May 2024 (13 weeks) |
PROGRAMME FEES
Please note that this MSc programme is a non-MOE subsidised programme.
Fee Inclusive of GST | |||||||||||||||||||||||
Programme Tuition Fee (Full Programme) | Singapore Citizen (SC) | 37,000 | |||||||||||||||||||||
Singapore Permanent Resident (SPR) | 48,000 | ||||||||||||||||||||||
International Student (IS) | 60,000 | ||||||||||||||||||||||
The table below summarises the fee payable for respective trimesters.
*All fees are inclusive of GST |
Fee exclusive of GST (refer to the prevailing fee mentioned below) | |||||||||||||||||||||||
Programme Tuition Fee (Full Programme) | Singapore Citizen (SC) | 34,600 | |||||||||||||||||||||
Singapore Permanent Resident (SPR) | 44,900 | ||||||||||||||||||||||
International Student (IS) | 56,100 | ||||||||||||||||||||||
The table below summarises the fee payable for respective trimesters.
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Note: 2. For information on Miscellaneous Fees, please click here 3. Programme Fees are subject to annual revision. 4. Programme fees payment schedule:
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