Overview

Bioinformatics is essential for analyzing and interpreting complex and large biological datasets generated by functional studies and high throughput technologies, such as next-generation sequencing. It is used to propose the following sets of experiments and, most importantly, to understand biological processes better. Biological data and the databases storing them are increasing at a phenomenal rate. Experimental approaches to study the large data pool for knowledge discovery are time-consuming, costly, and often impractical.

Intakes

March & September

Course Location​

Perdana University, Wisma Chase Perdana, Damansara Heights, KL

Approval Code​​

JPT/BPP (N/545/7/0102) (MQA/PA10086) 10/23

Course Duration

Full-time (1.5 year) / Part-time (up to 3 years)

Course Mode

Full-Time & Part-Time

Accreditation Code

GDCGHDC

Bioinformatics is essential for analyzing and interpreting complex and large biological datasets generated by functional studies and high throughput technologies, such as next-generation sequencing. It is used to propose the following sets of experiments and, most importantly, to understand biological processes better. Biological data and the databases storing them are increasing at a phenomenal rate. Experimental approaches to study the large data pool for knowledge discovery are time-consuming, costly, and often impractical.

 

Through a combination of bioinformatics and experimental approaches, it is possible to select key experiments and help optimize the experimental design. Computer algorithms are increasingly used to speed up knowledge discovery by helping to identify critical investigations for testing hypotheses built upon the results of the computational screening.

 

The demand for skilled bioinformaticians and researchers capable of the above is increasing globally at a rapid rate. Such personnel who can master the world of biology and computing would be the key drivers of the New Biology of tomorrow, which will be more data and precision-driven.

 

Through its two Centres for Bioinformatics and Computing, Perdana University School of Data Sciences provides a nurturing environment for students to prepare themselves for entering this rapidly expanding field.

 ♦  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

No.

Semester/ Year Offered

Name and Code of Course/Module

Classification (Major/Minor/Elective*
/Audit)

Credit Value

1

Sem 1 / Year 1

BIC7104 Biostatistics

Major

3

2

Sem 1 / Year 1

BIC7102 Biology in Bioinformatics

Major

3

3

Sem 1 / Year 1

BIC7103 Applied Computing in Bioinformatics

Major

3

4

Sem 1 / Year 1

BIC7105 Introductory Bioinformatics

Major

3

5

Sem 2 / Year 1

BIC7101 Research Methodology

Major

2

6

Sem 2 / Year 1

BIC7206 Computer Programming

Major

3

7

Sem 2 / Year 1

BIC7207 Machine Learning

Major

3

8

Sem 2 / Year 1

Elective

Elective

3

9

Sem 3 / Year 2

BIC7309 Critical Thinking and Scientific Communication

Major

3

10

Sem 1,  2 & 3 / Year 1 & 2

BIC7310 Research Seminar

Major

3

12

Sem 3 / Year 2

BIC7311 Bioinformatics Project

Major

11

 

Total

40

*Students have to choose one of the electives offered.

 

Elective

No.

Semester/ Year Offered

Name and Code of Course/Module

Classification (Major/Minor/Elective*
/Audit)

Credit Value

1

Sem 2 / Year 1

BIC7208 Genome Informatics

Elective

3

2

Sem 2 / Year 1

BIC7209 Structural Bioinformatics

Elective

3

3

Sem 2 / Year 1

BIC7210 Computational Methods in Biology

Elective

3

  • 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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