PROGRAMME REVIEW
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.
Entry Requirement
- 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
Programme Structure
| 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 | |||
Unique Features
- 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
