Master of Science (MSc) Biotechnology is a 2 Year course by Tribhuvan University, Institute of Science and Technology.
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Discipline
Level
Affiliation
Last Updated
The candidates will be selected for the admission on the basis of merit, which will be assessed by the marks secured in the entrance test taken by the Central Department of Biotechnology.
Subject | Theory | Practical |
Cell Biology and Genetics | 3 | 1 |
Molecular Biology | 3 | 1 |
Molecular Biochemistry | 2 | 1 |
Microbiology | 3 | 1 |
Bioprocess and BiochemTech | 3 | 1 |
Subject | Theory | Practical |
Genetic Engineering | 2 | 1 |
Immunology and Immunotech | 3 | 1 |
Plant Biotechnology | 3 | 1 |
Bioinformatics | 2 | 1 |
Metabolic Biochem and Sec Met | 2 | 1 |
Biophysical Chemistry | 2 |
Subject | Theory | Practical |
Medical and Pharma Biotech | 3 | 1 |
Agriculture Biotechnology | 3 | 1 |
Animal Biotechnology or Food Biotechnology | 3 | 1 |
Biostat and Research Method | 2 | |
IPR, Biosafety and Bioethics | 1 | |
Project Practical | 1 | |
Entrepreneurship Development | 2 |
Subject | Theory | Practical |
Thesis | 6 | |
Seminar (Non-Credit) |
Understand molecular biology and genetic engineering
Apply biotechnology in health, agriculture, and industry
Use lab techniques like PCR, electrophoresis, and cloning
Conduct research and analyze biological data
Work with bioinformatics tools and software
Ensure biosafety and ethical research practices
Develop skills for biotech industries and R&D
Prepare for PhD or academic careers
The advancement of biotechnology is affecting practically every aspect of human civilization. All developed and developing countries are moving towards this diverse discipline in a very short period of time, which has created unique opportunities not only for the exploitation of biological systems for the benefit of humanity, but also for research into the fundamental life processes.
Biosensors, Bioelectronics and Diagnostics, Bioinformatics and Computational Biology, Biomedical Engineering, Body's and Cell's Bio-signatures, Microarray Technologies, Prediction and Molecular Simulation, Drug Discovery, Gene Regulation and Transcriptomics, Bioinformatics and Computational Biology, and in industries that make
