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Master of Science MSc Bioinformatics Fees Structure, Admission, Intake, Deadline

  Study Mode FULL TIME
  Level POST-GRADUATE
  Duration
  Intake
Intake Deadline
N/A N/A
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Entry Requirement

Entry Requirement of Master of Science MSc Bioinformatics in Perdana University Malaysia

  •  A Bachelor’s Degree (Level 6, Malaysian Qualifications Framework, MQF) or its equivalent, with a minimum Cumulative Grade Point Average (CGPA) of 2.75; OR
  •  A Bachelor’s Degree (Level 6, MQF) or its equivalent, with a minimum CGPA of 2.50 and not meeting CGPA of 2.75, can be accepted subject to rigorous internal assessment process; OR
  •  A Bachelor’s Degree (Level 6, MQF) or its equivalent, with CGPA less than 2.50, with a minimum of five years working experience in a relevant field may be accepted.
  • For candidates without Computing Degree, prerequisite modules in computing must be offered to adequately prepare them for their advanced study.

AND

English requirement:

 Malaysian Students

  •  Credit – Sijil Pelajaran Malaysia (SPM) 1119 or
  •  Pass – SPM English 1119 & obtained a minimum of 55% in English 112/ 113/114*
  •  Successfully completed (or exempted from) the Intensive English Programme (IEP) & obtained a minimum of 55% in ENG 112/ 113/ 114
  •  Malaysian University English Test (MUET) Band 3

International Students
 Successfully completed (or exempted from) the Intensive English (IEP) & obtained a minimum of 55% in ENG 112/ 113/ 114

Course Outline

Course Outline of Master of Science MSc Bioinformatics in Perdana University Malaysia

BIC7104 Biostatistics
BIC7102 Biology in Bioinformatics
BIC7103 Applied Computing in Bioinformatics
BIC7105 Introductory Bioinformatics
BIC7101 Research Methodology
BIC7206 Computer Programming
BIC7207 Machine Learning
Elective
BIC7309 Critical Thinking and Scientific Communication
BIC7310 Research Seminar
BIC7311 Bioinformatics Project

Career Opportunity

Career Opportunity of Master of Science MSc Bioinformatics in Perdana University Malaysia

  • Merit based scholarship available
  • Complete in 1.5 year
  • Ideal for those with no or little bioinformatics background
  • Taught and Supervised by faculty who are experts in the field
  • Access to international network
  •   Job opportunities worldwide

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