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

# 30QS Subject Rankings

Program Duration

12 monthsProgram duration

Tuitionfee

60,000 SGDTuition Fee/year

Main Subject Area

Biological SciencesMain Subject Area

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 fees

Domestic Students

37,000 SGD
-

International Students

60,000 SGD
-

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

QS subject rankings

Subject: Biological Sciences

Created with Highcharts 9.1.020132015201720192021202320251255075100125
  • 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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