Overview
Biomedical Data Science at Nanyang Technological University is a joint collaboration between Nanyang Technological University (NTU) and the Agency for Science Technology and Research (A*STAR) Singapore.
Key facts:
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.
Career:
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.
Programme Structure
Courses include:
- Essential Machine Learning for Biomedical Science
- Essential Programming for Biomedical Science
- Story-telling with Graphics and Visualizations
- Techniques in Biomedical Data Mining
- Deep Learning for Biomedical Science
- Essential Bio-statistics and Bio-mathematics
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Delivered
Disciplines
Data Science & Big Data Bioinformatics & Biostatistics Artificial Intelligence View 5 other Masters in Data Science & Big Data in SingaporeAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Nanyang Technological University and/or in Singapore, please visit Student Insurance Portal.
Other requirements
General requirements
A good honours degree in a science, engineering or computer science programme. Relevant working experience (in a bio-related industry or in data-science related applications) will also be taken into consideration.
Tuition Fee
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International
60000 SGD/yearTuition FeeBased on the tuition of 60000 SGD for the full programme during 12 months. -
National
37000 SGD/yearTuition FeeBased on the tuition of 37000 SGD for the full programme during 12 months.
- Singapore Permanent Resident: SGD 48,000
Living costs for Singapore
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Biomedical Data Science.
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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