BS Bioinformatics
PROGRAM OVERVIEW
An interdisciplinary program that combines principles from biology, computer science, and information technology to address challenges in healthcare and biological research. Bioinformatics uses data to help clinicians, and scientists improve human health and provide healthcare. Due to advancements in computer science and information technology, bioinformatics has become more reliant on software, artificial intelligence, and cloud computing with the rise of the biotechnology industry and the widespread digitization of personal health data.
CAREER PROSPECTS IN BIOINFORMATICS
Bioinformatics is a multidisciplinary field that combines elements of computer science, information technology, and healthcare to manage and analyze biological and clinical data. The field plays a crucial role in advancing healthcare by leveraging technology to improve patient outcomes, enhance medical research, and streamline healthcare processes. Here are some career prospects in bioinformatics:
- Bioinformatics Scientist/Analyst
- Computational Biologist
- Bioinformatics Software Developer/Engineer
- Genomic Data Analyst
- Biostatistician
- Clinical Bioinformatician
- Pharmaceutical/Biotech Research Scientist
- Data Scientist in Healthcare
- Research Scientist in Proteomics/Metabolomics
- Bioinformatics Educator/Trainer
- Bioinformatics Consultant
ELIBILTY CRITERIA
At least 45% marks in Intermediate (HSSC) Examination / A-Level Examination certified by IBCC
SELECTION CRITERIA
- Qualification criteria
- MAJU Admission Test or HEC Approved Test
- Interview
PROPOSED PLAN OF STUDY
Semester - 1
| SR# | Courses |
| 1 | Cell Biology |
| 2 | Basic Mathematics |
| 3 | English – I (Functional English) |
| 4 | Pakistan Studies |
| 5 | Introduction to Computing |
| 6 | Introduction to Computing Lab |
| 7 | Cell Biology Lab |
Semester - 2
| SR# | Courses |
| 1 | Microbiology and Immunology |
| 2 | Microbiology and Immunology Lab |
| 3 | Oral Communication |
| 4 | Calculus – I |
| 5 | Islamic Studies and Ethics |
| 6 | Molecular Biology |
| 7 | Introduction to Programming |
| 8 | Introduction to Programming Lab |
Semester - 3
| SR# | Courses |
| 1 | Technical Report Writing |
| 2 | Biochemistry |
| 3 | Biochemistry Lab |
| 4 | Calculus – II |
| 5 | Physical Chemistry |
| 6 | Object Oriented Programming |
| 7 | Object Oriented Programming Lab |
Semester - 4
| SR# | Courses |
| 1 | Genetics |
| 2 | Introduction to Bioinformatics |
| 3 | Introduction to Bioinformatics Lab |
| 4 | Comparative Anatomy |
| 5 | Linear Algebra |
| 6 | Data Structures |
| 7 | Data Structures Lab comparativ |
Semester - 5
| SR# | Courses |
| 1 | Structural Bioinformatics |
| 2 | Structural Bioinformatics Lab |
| 3 | Probability and biostatistics |
| 4 | Protein Science |
| 5 | Introduction to Database Systems |
| 6 | Introduction to Database Systems Lab |
| 7 | Humanities – I |
Semester - 6
| SR# | Courses |
| 1 | Evolutionary Biology |
| 2 | Research Methodology |
| 3 | Data Science |
| 4 | Introduction to Biotechnology |
| 5 | Endocrinology |
| 6 | Elective – I |
| 7 | Management – I |
Semester - 7
| SR# | Courses |
| 1 | Practicum |
| 2 | Elective – II |
| 3 | Humanities – II |
| 4 | Project Part – I |
Semester - 8
| SR# | Courses |
| 1 | Management Elective-II |
| 2 | Project Part – II |
| 3 | Functional Genomics |
| 4 | Elective – III |
ELECTIVE COURSES
| SR# | Courses |
| 1 | Medical Laboratory Technology |
| 2 | Introduction to Hospital Management |
| 3 | Next Generation DNA Sequencing Technology |
| 4 | Health Biotechnology |
| 5 | Artificial Intelligence |
| 6 | Machine Learning |
| 7 | Software Engineering |