At Perdana University School of Data Sciences, we aim to gain insights into a broad range of biological research questions using a range of mathematical, statistical, computing and bioinformatics tools. Our research questions span the fields of infectious diseases, genomics, genetics, big data analytics and personalized medicine. Students who undertake this programme would receive first-hand experience in the research world, learn the core elements of academic work and work alongside their peers in a multi-disciplinary collaborative platform, all the while immersed in an environment that emphasizes healthy research culture. They would graduate with a range of multi-disciplinary skills and understand the needs of the industry, having been exposed to numerous bioinformatics skills development and training programmes throughout the course of their studies.

Uniqueness of the Programme

  • Diverse and unique exploration areas
  • Faculty with industry experience
  • Access to an international network of bioinformaticians
  • Opportunities to participate in relevant bioinformatics workshops, seminars and conferences

Benefits of the Programme

Graduates will be able to:

  • Develop and apply innovative bioinformatics solutions to complex research problems
  • Further their education in bioinformatics or any field of life sciences (basic, applied or services)
  • Pursue better prospects in a career in life sciences, either in academia or industry

Curriculum Structure

This is a full-research based programme:

  • Phase I: Prerequisite Coursework (if required)
  • Phase II: Proposal Defence
  • Phase III: Independent Research and Thesis Preparation
  • Phase IV (optional): Upgrade to PhD
  • Phase V: Thesis submission and examination

Facilities in the Programme

Computer laboratories with high-end workstations that are equipped with cutting-edge toolkits and resources will be used for the teaching and learning activities of the students. Students will have access to online databases and international journals as well as the latest in computing software to enhance their studies. They will also be supported by a virtual learning environment through which they will remain connected with their peers and instructors throughout the course of their education.

Program taught in:
  • English
Last updated November 10, 2018
This course is Campus based
Start Date
Jan 2020
2 - 3 years
By locations
By date
Start Date
Jan 2020
End Date
Application deadline

Jan 2020

Application deadline
End Date