PhD in Bioinformatics
Our Doctor of Philosophy (PhD) in Bioinformatics is an intensive research-driven programme designed to enhance your expertise in computational biology and data-driven approaches to understanding biological systems. This advanced programme is ideal for those who wish to explore the intersection of biology, computer science, and statistics, and aim to innovate in the analysis of complex biological data.
Offered at our Visakhapatnam campus, the PhD programme immerses students in cutting-edge research environments where they apply advanced computational techniques to genomics, proteomics, and Metabolomics. Graduates of this programme are equipped to lead breakthrough research in academia, industry, and healthcare, contributing to advancements in personalised medicine, drug and vaccine discovery, and biotechnology.
Eligibility
The programme is open to individuals with a Master's degree (M.Sc., M.Pharm., M.V.Sc., or M.Sc. (Ag.)) in Bioinformatics, Biochemistry, Biotechnology, Microbiology, Chemistry, Genetics, Environmental Science or any branch of Biological Science. Candidates may also have completed MD, MS or MTech in Biotechnology or Computer Science.
Scope of the Programme
The Ph.D. in Bioinformatics programme instead offers a comprehensive exploration of the computational and analytical methods required to understand complex biological data. This programme extends beyond traditional biological studies, incorporating interdisciplinary approaches that combine biology, computer science, and statistics to offer deep insights into genomics, proteomics, and systems biology.
Students engage with cutting-edge research methodologies and computational technologies, enabling them to drive innovation in areas such as personalised medicine, drug discovery, and biotechnology. Graduates from this programme are in high demand across sectors like healthcare, pharmaceuticals, biotechnology, and academic research, where their ability to analyse large-scale biological data is key to addressing critical scientific and medical challenges.
Key Highlights
Application Domain Experience of Faculty
- Medicinal Plants
- Neuroscience & Circadian Rhythms
- Cancer and Stem Cell Biology
- Drug Designing
- Clinical Biochemistry
- Genomics
- Fungal Biology
- Proteomics
- Structural Bioinformatics
- Computational Drug Design
- Metallemics
- Computational Vaccine Designing
Centres of Excellence & Infrastructure
- Centre of Health & Wellness Innovation
- Biomedical Devices
Research Centre
- MURTI Multidisciplinary Research
Industry & Academic Collaborations
- ICAR-National Research Centre on Meat
- Cytiva
- Biological E. Limited
- VCR Park
Syllabus
The syllabus for the PhD in Bioinformatics programme is meticulously crafted to provide an advanced understanding of the molecular mechanisms that drive biological systems.
Standard track course offerings
- Cell Biology
- Microbiology and Immunology
- Biomolecules
- Enzymology
- Biochemical Techniques
- Systems Physiology
- Clinical Biochemistry
Specialisation course bundles offered
- Molecular Biology
- Bioinformatics
- Genetic Engineering
- Cancer Biology
- Drug Designing
- Systems Biology
Career Options
The rapidly advancing fields of bioinformatics, computational biology, and personalised medicine are creating a growing demand for specialists with expertise in data analysis and biological systems. With the rise of big data in healthcare, biotechnology, and genomics, the demand for bioinformatics professionals is projected to grow by approximately 7% annually until 2030.
Are you ready to lead innovations in genomics, drug discovery, and precision medicine?
Here are some exciting career paths to consider:
- Bioinformatics Scientist
- Computational Biologist
- Genomics Data Analyst
- Systems Biologist
- Drug Discovery Scientist
- Vaccine Discovery Scientist
- Proteomics Specialist
- Healthcare Data Analyst
- Academic Researcher
- Biotechnology Consultant
- Bioinformatician
- Bioinformatics Specialist
- Data Analyst
- NGS Data Analyst
- Bioinformatics Programmer
Star Recruiters
Notable Alumni
Infrastructure and Facilities
Fee Structure
Ph.D Bioinformatics
PhD Mode of Admission | Duration | Application Fee | Annual Fee | Processing Fee (Only one time) |
---|---|---|---|---|
Full-Time (Indian Nationals) | 3 Years | INR 1,200 | INR 30,000 | NIL |
Full-Time (Foreign Nationals) | 3 Years | NIL | USD 2,500 | USD 300 |
Extramural | 4 Years | INR 1,200 | INR 1,00,000 | NIL |