Perdana University

Perdana University

Courses
15
Scholarship
Yes

Master of Science MSc Bioinformatics   APPLY

  Study Mode
FULL TIME
  Level
POST-GRADUATE
  Duration
  Intake
  Tution Fees
N/A

Bioinformatics is essential for analysis and interpretation of complex and large biological datasets generated by functional studies and high throughout technologies, such as next-generation sequencing. It is used to propose the next sets of experiments and, most importantly, to derive better understanding of biological processes. Biological data and the databases storing them are increasing at an unparalleled 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 experimental design. Computer algorithms are increasingly used to speed-up the process of knowledge discovery by helping to identify critical experiments for testing hypothesis built upon the results of computational screening.

The demand for skilled bioinformaticians and researchers who are capable of the above is increasing globally at a rapid rate. Such personnel who are able to 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.

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

The following are the key strengths of the School in the field of bioinformatics:

  • Highly qualified and published faculty with international exposure and experience
  • All the faculty collectively cover a broad range of current areas of research interest in life sciences
  • Success to key strategic partners from academia and industry who are through leaders in the field
  • Access to computational resources, such as HPC/Grid clusters and network of supercomputers

The MSc in Bioinformatics (By Coursework) offers an alternative to those who would prefer something more advanced than our Postgraduate Diploma (PgD) (http://bit.ly/pgdbioinfo) in Bioinformatics programme and cannot commit to the intensive demands on time required by an MSc Bioinformatics (By Research) (http://bit.ly/mscbioinfobyresearch) programme, and thus need a more flexible mode of delivery, which can be provided through an MSc by coursework programme.

This MSc (Bioinformatics) programme by coursework will offer a strong footing in the field of bioinformatics for students who have graduated from undergraduate degrees of various disciplines. It will provide a balance between theoretical understandings and practical skills, exposure to the research process, including critical thinking and scientific communication of research findings. Students will gain mastery of bioinformatics tools and software in order to be autonomous and independent workers in the field, whether they choose to pursue an academic or research careers.

SUBJECTS

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

 

 

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