M.Sc. by Research - Bioinformatics & Functional Genomics
Explore the frontier of life sciences with M.Sc. by Research in Bioinformatics & Functional Genomics. Master cutting-edge DNA technologies, from next-gen sequencing to genome editing. Analyze big genomic data, delve into multi-omics, and bridge biology with advanced computing to drive biotech innovation.
About the Course
The Course Highlights are
- DNA SCIENCE and Genetics
- Genomics of Plants, animals and microbes
- Next Generation Sequencing Technologies (NGS)
- Whole Genome Sequencing and Analysis
- Multi-Omics (Proteogenomics, Transcriptomics and Metabolomics)
- System biology
- Genome Editing and Synthetic Biology
- Bioinformatics
- Big Genomic Data Analysis
- Basic of computing (Linux) and high-end server
- Programming Languages
- Genome databases
- Intellectual Property Rights (IPR)
- Industrial Exposure
Course Eligibility
Candidates from any stream Biology (LifeSciences, Biotechnology, Genetics, Genomics, Medicine, Agriculture, Bio-Informatics, Biological Sciences, Microbiology, Marine Biology, Veterinary, Animal Sciences, Ayurveda, Conservation, Biochemistry, Pharmacy, Pathology) Engineering (Computer science and other disciplines) Commerce (Economics, Business Management) Arts (Sociology) Industry sector
Career Path
- Current research demands big data scientists
- Industrial exposure
- The Genomics market has been valued at USD 13.45 Billion in 2016 and is expected to grow USD 23.88 Billion by 2022 (https://www.marketsandmarkets.com/Market-Reports/genomics-market-613.html)
- Bioinformatics Market was valued at $3.4 billion, and is expected to reach $12.8 billion by 2020 (https://www.alliedmarketresearch.com/bioinformatics-market)
- DNA diagnostics market is expected to garner $19 billion by 2020 (https://www.alliedmarketresearch.com/DNA-diagnostics-market)
1. What key skills will I gain from this course?
You'll develop expertise in DNA science, genomics, and next-generation sequencing technologies. The course covers bioinformatics, big data analysis, programming, and Linux systems. Advanced topics like genome editing and synthetic biology are also included, equipping you with a versatile skill set for both research and industry roles.
2. Is programming experience required for this course?
Prior programming experience is beneficial but not mandatory. The course includes training in basic computing, an introduction to Linux systems, and lessons in relevant programming languages. This approach makes the course accessible to students from various life sciences backgrounds while ensuring all participants gain necessary computational skills.
3. What career opportunities are available after completing this program?
Graduates can pursue careers in academic research, biotechnology firms, pharmaceutical companies, and data science roles in the life sciences sector. The course's focus on cutting-edge technologies like genome editing and big data analysis makes graduates particularly valuable in rapidly evolving fields such as personalized medicine and agricultural biotechnology.
4. Does the course include practical experience or industry exposure?
Yes, the course emphasizes practical skills. Students gain hands-on experience with genomic databases, high-end servers, and industry-standard tools. The curriculum also features industrial exposure, potentially through internships or collaborative projects, providing opportunities to bridge academic knowledge with real-world applications in the biotech industry.
For more information
Official Contact
Ravikumar G
Contact Info
admissions@tdu.edu.in
