MS Bioinformatics
Biological sciences are now data-driven more than ever because the use of computers has transformed every field in life sciences. Bioinformatics is the interface between biology, analytical statistics, and computer science. Whether it is biomedicine, organismal biology, or molecular biology, every discipline is benefiting from Bioinformatics.
By taking the MS Bioinformatics course at MAJU, you can bring light to extraordinary insights and make discoveries in the world of biology. In addition, you can utilize the acquired information to visualize, and interpret the biological data.
This program mainly emphasizes getting new information from RNA, DNA, and protein sequences by using computers. You will learn sequence analysis, structural analysis of RNA, advanced digital data processing, drug and design development, etc. Moreover, you can store, mine, and graphically relate the data results and make breakthroughs.
We have designed the program to provide you with the latest knowledge and state-of-the-art tools so you can develop efficient bioinformatics algorithms and learn mathematical modeling and simulation.
The program ensures that you meet the demands of educational and research institutions as well as industries that aim to specialize in the health and life sciences. The course is designed to prepare you for careers in government, business, and academia.
Also, the goal is that you have the knowledge, skill, and complete understanding required to meet the basic guidelines established by Pakistan’s Higher Education Commission (HEC) and reputable industries.
What career possibilities might MS Bioinformatics offer?
You can have a progressive career by taking the Master’s degree at MAJU as it will lead you to big opportunities. You can be:
- Bioinformatics Scientist
- Research Scientist
- Biostatistician
- Microbiologist
- Bioinformatician
- Zoologist or wildlife biologist
- Molecular Biologist
MAJU alumni have great success finding relevant jobs. Our qualifications improve the careers of people who are currently pursuing this field, a win-win situation for the individual and their employer.
The Bioinformatics and Biosciences Department offers the following specialization streams:
ELIBILTY CRITERIA
MS and MBA (Graduate) programs require a relevant 16 year degree with CGPA 2.00/4.00 or 50% marks.
Core Courses
| Course Code | Course Title | Cr. Hrs | |
| CS | 5123 | Advanced Analysis of Algorithms | 3 |
| BI | 5413 | Advanced Bioinformatics | 3 |
| CS | 5363 | Advanced Database Systems | 3 |
| BI | 5113 | Advanced Molecular Biology | 3 |
Elective Courses
| Course Code | Course Title | Cr. Hrs | |
| CS | 5313 | Advanced Databases | 3 |
| EE | 5623 | Advanced Digital Image Processing | 3 |
| BI | 5xx3 | Advanced Topics in Bioinformatics | 3 |
| CS | 6xx3 | Advanced Topics in Computing | 3 |
| BI | 5713 | Applied Biotechnology | 3 |
| BI | 5423 | Bioinformatics Algorithms | 3 |
| CS | 4223 | Data Mining | 3 |
| CS | 5343 | Data Mining | 3 |
| CS | 5323 | Distributed Database Systems | 3 |
| CS | 5333 | Distributed Systems | 3 |
| BI | 5213 | Drug Design & Development | 3 |
| BI | 5723 | Eukaryotic Regulatory Mechanisms | 3 |
| BI | 5123 | Macromolecular Structure Synthesis & Reg | 3 |
| BI | 5813 | Mathematical modeling and Simulation | 3 |
| BI | 5133 | Molecular Biophysics | 3 |
| BI | 5613 | Neural Computing and Genetics Algorithms | 3 |
| BI | 6113 | Pathways and Networks in Biology | 3 |
| BI | 5733 | Plant and Animal Cell Biotechnology | 3 |
| BI | 5433 | Statistical Methods for Computational Biology | 3 |
| EE | 5413 | Stochastic Processes | 3 |
| BI | 5823 | Visualization methods for Science and Engg | 3 |
Research Thesis/Project
| Course Code | Course Title | Cr. Hrs | |
| BI | 6913 | Research Project | 3 |
| BI | 6916 | Research Thesis | 6 |