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.
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
Graduates will be able to:
Develop and apply innovative bioinformatics solutions to complex research problems
Further their education in bioinformatics or any field of life sciences (basic, applied or services)
Pursue better prospects in a career in life sciences, either in academia or industry
List of course/module offered in the programme
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 |
Computer laboratories with high-end workstations that are equipped with cutting-edge toolkits and resources will be used for the teaching and learning activities of the students. Students will have access to online databases and international journals as well as the latest in computing software to enhance their studies. They will also be supported by a virtual learning environment through which they will remain connected with their peers and instructors throughout the course of their education.
Recognition & Accreditation:
This programme is accredited by the Malaysian Qualifications Agency (MQA).
Course Approval Number:
JPT/BPP (N/545/7/0102) (MQA/PA10086) 10/23
Award Title:
Master of Science (MSc) Bioinformatics (By Coursework)
Mode of Study:
Full-time (1.5 year) / Part-time (up to 3 years)
Credit Hours:
40
Intake:
March & September
A Bachelor’s Degree with a minimum CGPA of 2.50 or equivalent, as accepted by Perdana University’s Senate.
OR
A Bachelor’s Degree or equivalent not meeting CGPA 2.50, can be accepted subject to a minimum of 5 years working experience in relevant field.
Malaysian Students
RM24,000
International Students
RM28,800
NOTE: The above tuition fee does not include miscellaneous charges. Kindly contact the University for more details.
Scholarships
Scholarship by Alumni
Scholarship by Merit
Scholarship by Sibling
Need Assistance?
Kindly contact the Department of Student Life for detailed information on the scholarships & financial assistance available.
enquiry@perdanauniversity.edu.my
03-8941 8646
019-912 6828
Students will be exposed to introductory subjects related to occupational therapy. They will be able to identify, describe and relate the concepts of occupational therapy in everyday living.