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.
Throughout the year
Perdana University, Wisma Chase Perdana, Damansara Heights, KL
JPT/BPP (N/545/7/0102) (MQA/PA10086) 10/23
Full-time (1.5 year) / Part-time (up to 3 years)
Full-Time & Part-Time
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.
AND
Malaysian Students
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 |