

Course Qualification
Master
Study Period
1.5 Years
Study Mode
Full Time
Intakes
January, September, June
Estimate Fee
RM26,000
Advancing the Intersection of Biology and Tech
The Master of Science (MSc) Bioinformatics (Coursework) at Perdana University trains postgraduate students to handle data-driven challenges in modern healthcare and life sciences. During the first semester, students align their technical baselines through introductory bioinformatics, biological data systems, and research methodology modules. This integrated approach helps students from computation backgrounds understand complex molecular pathways, while helping life science graduates learn how to apply computing code to automate large data workloads.
Algorithmic Code and Specialised Options
As the program enters its second semester, the training moves into advanced data computation and predictive modeling. Students work in technical computing labs to study machine learning algorithms and write advanced computer programming scripts to dissect raw biological trends. At this stage, students can tailor their degree by selecting a specialised elective module. They can choose to explore structural bioinformatics to study molecular modeling, dive into genome informatics to track gene variations, or evaluate general computational methods in biology.
Flexible Classes for Professionals
The learning framework is built specifically to accommodate both fresh graduates and full-time working adults. Lectures and practical laboratory tutorials are arranged during after-office hours and weekends, allowing industry professionals to upskill without pausing their employment. Classroom environments encourage students to discuss live case studies, exchange ideas from their respective professional industries, and practice explaining complex scientific findings during research seminars.
Research Pipelines and Industry Placement
The final phase of the master's degree centers around dedicated bioinformatics projects. Students work under the guidance of academic supervisors to design, execute, and defend their own computational research pipelines from scratch. This hands-on process readies graduates for competitive employment options globally, allowing them to step into functional roles as research scientists, bioinformaticians, or professional bioinformatic scientists across corporate and academic sectors.
Review the academic qualifications, grades, and additional criteria needed for admission to this program.
Minimum 5 credits including Mathematics (C) & English (C)
Minimum CGPA 3.00 including Mathematics T (C)
Minimum CGPA 3.00 including Mathematics T (C)
Minimum CGPA 3.00 including Mathematics T (C)
Minimum CGPA 3.00 including Mathematics T (C)
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