Bachelor of Science (Hons) in Bioinformatics
About
Bioinformatics is a dynamic and interdisciplinary field that integrates mathematical, statistical, computer science, and information technology approaches to address complex biological challenges. Recent technological advancements have generated vast amounts of biological data, creating a growing demand for skilled bioinformatics professionals capable of applying computational algorithms and tools to extract meaningful insights from this data. The Bachelor of Science (Hons) Bioinformatics program is designed to produce highly qualified graduates equipped with the necessary skills and practical experience to meet the rising demands of the bioinformatics job market.
Key facts
Qualification | Bachelor's Degree |
Study mode | Full-time |
Duration | 3 years |
Intakes | March, October |
Tuition (Local students) | B$ 12,837 |
Tuition (Foreign students) | B$ 18,025 |
Subjects
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Applied Science
Duration
3 years
Tuition fees
Description | Local students | Foreign students |
---|---|---|
Tuition fee | B$ 12,837 | B$ 18,025 |
Miscellaneous fees | Data not available | B$ 2,516 |
Total estimated cost of attendance | B$ 12,837 | B$ 20,541 |
Estimated cost per year | B$ 4,279 | B$ 6,847 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Admissions
Intakes
Entry Requirements
Any one of these:
A-Levels / STPM / Equivalent:
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Minimum pass in 3 subjects, including Biology (CGPA ≥ 2.0).
AIMST Foundation in Science / Foundation / Matriculation / Pre-University Programme in Related Field:
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Pass in 3 subjects, including Biology (minimum 50% or Grade C or CGPA ≥ 2.0).
CIMP / SAM / CPU / MUFY / NSW HSC / UNSW Foundation:
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Grades C, C, C in 3 subjects, including Biology.
Diploma in Related Field (Computer Science, Information Technology, Health Sciences):
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Pass (minimum 50% or Grade C or CGPA ≥ 2.0).
Degree or Equivalent in Related Field (Computer Science, Information Technology, Health Sciences, or any Diploma in Science):
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Pass (minimum 50% or Grade C or CGPA ≥ 2.0).
International Baccalaureate (IB):
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Pass with a minimum score of 24 points.
Other Qualifications:
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To be referred to KPT (Kementerian Pengajian Tinggi / Ministry of Higher Education).
Curriculum
Year 1 Modules
Core Subjects:
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Biochemistry
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Biocomputing
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Biodiversity
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Biophysical Chemistry
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Cell and Molecular Biology
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English for Specific Academic Purposes
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English for Professional Purposes
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Genetics
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Introduction to Communication
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Microbiology
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Self Reliance & Social Responsibility
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Falsafah & Isu Semasa
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Penghayatan Etika & Peradaban (Malaysian Students) or Bahasa Melayu Komunikasi 2 (International Students)
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Kursus Integriti & Anti Rasuah
Year 2 Modules
Core Subjects:
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Basic Mathematics
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Biomathematics
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Bioinformatics Trends
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Bioinstrumentation
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Biostatistics
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Database Management
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Genetic Engineering
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Object-Oriented Programming with C++
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Perl Programming and Bioperl
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Transcriptomics and Proteomics
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U4 Activities
Electives (Choose 5):
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Algal and Fungal Science
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Biomathematics
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Downstream Processing
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Introduction to Algorithms
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Laboratory Biorisk Management
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Permutation and Combinations
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Plant Tissues and Animal Cell Culture
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Virology
Year 3 Modules
Core Subjects:
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Bioethics, Bioregulation & Biosafety
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Biomolecular Diagnostics
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Business Management
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Comparative Genetics
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Crop Biotechnology
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Environmental Biotechnology
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Industrial Training
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Molecular Modeling
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Molecular Phylogeny and Evolution
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Research Methodology
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Research Project
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Web Designing and Internet Programming
Electives (Choose 6):
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Artificial Neural Network
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Bioethics, Bioregulation & Biosafety
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Biopython
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Business Management
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Forensic Bioinformatics
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Medical Biotechnology
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Metabolomics
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Pharmacogenomics