Departments/Department of Bioinformatics (AI, Genomics & Data-Driven Life Sciences)/BS Bioinformatics

UndergraduateAdmissions Open

BS Bioinformatics

Duration: 4 years (8 semesters)
Credit hours: 130-140 credit hours
Eligibility: FSc Pre-Medical, ICS, or equivalent with minimum 50% marks; Biology and mathematics/computing background preferred.

BS Bioinformatics image

Program overview

IUHT integrates molecular biology, genetics, programming, statistics, data science, and high-performance computing to address modern challenges in life sciences and healthcare.

Students develop competencies in genomics, computational biology, biomedical data analysis, AI-driven research, drug discovery, and precision medicine while gaining hands-on experience with bioinformatics tools, databases, and research methodologies.

The programme equips graduates with analytical, technical, and research skills to contribute effectively in biotechnology, healthcare, pharmaceutical industries, academia, and emerging AI-enabled life science sectors.

Academic plan

Scheme of studies

Representative semester structure and credit distribution. Final course titles and credit hours may be adjusted per HEC and accrediting-body requirements.

Total credit hours: 132–136 • Core Bioinformatics: ~70–75 CH • Supporting (CS + Biology + Math): ~40–45 CH • General Education: ~15–18 CH

Semester 1 (16–17 CH)

English Composition & Comprehension (3)
Introduction to Biology (3)
Basic Mathematics / Calculus-I (3)
Introduction to Computer Science (3)
Pakistan Studies (2)
ICT / Computing Lab (1–2)

Semester 2 (16–17 CH)

Functional English / Communication Skills (3)
Cell Biology (3)
Calculus-II / Statistics-I (3)
Programming Fundamentals (3)
Islamic Studies / Ethics (2)
Programming Lab (1–2)

Semester 3 (16–17 CH)

Data Structures (3)
Biochemistry (3)
Discrete Mathematics (3)
Digital Logic Design (3)
Technical Writing / Communication Skills (3)
Data Structures Lab (1–2)

Semester 4 (16–17 CH)

Database Systems (3)
Genetics (3)
Probability & Statistics (3)
Object-Oriented Programming (3)
Bioinformatics-I (Introduction) (3)
DB / OOP Lab (1–2)

Semester 5 (16–17 CH)

Bioinformatics-II (Sequence Analysis) (3)
Molecular Biology (3)
Algorithms Design & Analysis (3)
Operating Systems (3)
Research Methodology (3)
Bioinformatics Lab-I (1–2)

Semester 6 (16–17 CH)

Genomics & Proteomics (3)
Machine Learning for Bioinformatics (3)
Software Engineering (3)
Computational Biology (3)
Elective-I (3)
Bioinformatics Lab-II (1–2)

Semester 7 (15–16 CH)

Structural Bioinformatics (3)
Systems Biology (3)
Data Mining / Big Data Analytics (3)
Elective-II (3)
Final Year Project-I (3)

Semester 8 (12–15 CH)

Advanced Bioinformatics (3)
Entrepreneurship / Innovation (3)
Elective-III (3)
Final Year Project-II (3–6)

Elective courses (choose 3–4)

Artificial Intelligence
Deep Learning in Bioinformatics
Drug Design & Discovery
Health Informatics
Cloud Computing
Biomedical Signal Processing

Bridging courses (if required)

For Pre-Medical Students: Mathematics (0 credit / extra course)
For ICS / Pre-Engineering: Basic Biology (0 credit / extra course)

Labs & practical component

Programming Labs
Database Labs
Bioinformatics Tool-based Labs (BLAST, genome tools etc.)
Final Year Project (Research + Implementation)

Graduate skill outcomes

Analyze biological data using computational tools
Apply programming (Python/R) in genomics
Work in biotech, pharma, and data science sectors

Compliance statement

This scheme of studies is designed in accordance with the undergraduate education policy and computing/bioinformatics curriculum guidelines of the Higher Education Commission Pakistan.

Strategic improvement

Add internship (6–8 weeks) in Semester 7
Industry collaboration (pharma / biotech labs)
Integrate AI + health data applications

Outcomes

Career opportunities

Pathways graduates often pursue in industry, public service, further study, and entrepreneurship.

Bioinformatics Analyst
Computational Biologist
Genomics Specialist
Drug Discovery Scientist
Health Data Analyst
Clinical Informatics Specialist
Data Scientist
AI / Machine Learning Engineer
Software Developer
Research Assistant
Laboratory Scientist
Lecturer (after higher studies)
Genomics Analyst
Biotech Data Scientist
Pharmaceutical Research Associate

Admissions 2026

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Scheme of studies

Representative semester structure and credit distribution. Final course titles and credit hours may be adjusted per HEC and accrediting-body requirements.

Total credit hours: 132–136 • Core Bioinformatics: ~70–75 CH • Supporting (CS + Biology + Math): ~40–45 CH • General Education: ~15–18 CH

Semester 1 (16–17 CH)

English Composition & Comprehension (3)
Introduction to Biology (3)
Basic Mathematics / Calculus-I (3)
Introduction to Computer Science (3)
Pakistan Studies (2)
ICT / Computing Lab (1–2)

Semester 2 (16–17 CH)

Functional English / Communication Skills (3)
Cell Biology (3)
Calculus-II / Statistics-I (3)
Programming Fundamentals (3)
Islamic Studies / Ethics (2)
Programming Lab (1–2)

Semester 3 (16–17 CH)

Data Structures (3)
Biochemistry (3)
Discrete Mathematics (3)
Digital Logic Design (3)
Technical Writing / Communication Skills (3)
Data Structures Lab (1–2)

Semester 4 (16–17 CH)

Database Systems (3)
Genetics (3)
Probability & Statistics (3)
Object-Oriented Programming (3)
Bioinformatics-I (Introduction) (3)
DB / OOP Lab (1–2)

Semester 5 (16–17 CH)

Bioinformatics-II (Sequence Analysis) (3)
Molecular Biology (3)
Algorithms Design & Analysis (3)
Operating Systems (3)
Research Methodology (3)
Bioinformatics Lab-I (1–2)

Semester 6 (16–17 CH)

Genomics & Proteomics (3)
Machine Learning for Bioinformatics (3)
Software Engineering (3)
Computational Biology (3)
Elective-I (3)
Bioinformatics Lab-II (1–2)

Semester 7 (15–16 CH)

Structural Bioinformatics (3)
Systems Biology (3)
Data Mining / Big Data Analytics (3)
Elective-II (3)
Final Year Project-I (3)

Semester 8 (12–15 CH)

Advanced Bioinformatics (3)
Entrepreneurship / Innovation (3)
Elective-III (3)
Final Year Project-II (3–6)

Elective courses (choose 3–4)

Artificial Intelligence
Deep Learning in Bioinformatics
Drug Design & Discovery
Health Informatics
Cloud Computing
Biomedical Signal Processing

Bridging courses (if required)

For Pre-Medical Students: Mathematics (0 credit / extra course)
For ICS / Pre-Engineering: Basic Biology (0 credit / extra course)

Labs & practical component

Programming Labs
Database Labs
Bioinformatics Tool-based Labs (BLAST, genome tools etc.)
Final Year Project (Research + Implementation)

Graduate skill outcomes

Analyze biological data using computational tools
Apply programming (Python/R) in genomics
Work in biotech, pharma, and data science sectors

Compliance statement

This scheme of studies is designed in accordance with the undergraduate education policy and computing/bioinformatics curriculum guidelines of the Higher Education Commission Pakistan.

Strategic improvement

Add internship (6–8 weeks) in Semester 7
Industry collaboration (pharma / biotech labs)
Integrate AI + health data applications

Career opportunities

Pathways graduates often pursue in industry, public service, further study, and entrepreneurship.

Bioinformatics Analyst

Computational Biologist

Genomics Specialist

Drug Discovery Scientist

Health Data Analyst

Clinical Informatics Specialist

Data Scientist

AI / Machine Learning Engineer

Software Developer

Research Assistant

Laboratory Scientist

Lecturer (after higher studies)

Genomics Analyst

Biotech Data Scientist

Pharmaceutical Research Associate