Master of Science in Biomedical Data Science 12 months Postgraduate Program By Nanyang Technological University, Singapore (NTU Singapore) |Top Universities

Program overview

Main Subject

Biological Sciences

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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...
Read more

Program overview

Main Subject

Biological Sciences

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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...
Read more

Admission Requirements

6+
85+
A good honours de​gree 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. 

1 Year
Aug

Tuition Fee

Domestic Students

37,000 SGD
-

International Students

60,000 SGD
-

Scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

list

A list of available scholarships around the world

checklist

A scholarship application checklist

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download_icon Download Scholarship Guide

QS subject rankings

Subject: Biological Sciences

Created with Highcharts 9.1.01255075100125
  • 2013
    #101-150
  • 2014
    #51-100
  • 2015
    #51-100
  • 2016
    #51-100
  • 2017
    #=44
  • 2018
    #51-100
  • 2019
    #43
  • 2020
    #40
  • 2021
    #=33
  • 2022
    #=31
  • 2023
    #44
  • 2024
    #=38
  • 2025
    #30

Ranking criteria

Overall
80.1
Academic Reputation
85.7
Citations per Paper
85.3
Employer Reputation
89.2
H-index Citations
74.9
International Research Network
48.1

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