| Study Mode | FULL TIME | ||||
| Level | POST-GRADUATE | ||||
| Duration | |||||
| Intake |
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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:
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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