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The Post Graduate Diploma in Bioinformatics (PGDBI) is a prestigious 1-year full-time postgraduate program designed to equip students with advanced knowledge and practical skills in bioinformatics, computational biology, and related fields. This industry-aligned curriculum bridges the gap between biological sciences and information technology.
KEY POINTS
| Component | Details |
|---|---|
| Total Program Fees | INR 2,50,000 - 3,00,000 (subject to annual revision) |
| Payment Options | Full payment or installment basis (2-3 installments) |
| Refundable Fees | Security deposit of INR 10,000 (refundable at course completion) |
| Scholarships | Merit-based scholarships covering up to 50% of tuition fees available for qualifying students |
| Additional Charges | Laboratory fees, examination fees, and library charges as applicable |
| Event | Timeline |
|---|---|
| Applications accepted | June to August 2026 (Tentative) |
| Admission confirmation | By September 2026 (Tentative) |
The dates mentioned above are tentative and subject to change.
| Type | Details |
|---|---|
| Merit-Based Scholarships | Up to 50% tuition fee waiver for students with outstanding academic records |
| Need-Based Scholarships | Financial assistance available for economically disadvantaged students |
| Performance Scholarships | Additional support for students excelling in academics and research |
| Government Scholarships | Eligible students can apply for state and central government scholarship schemes |
| Industry Sponsorships | Scholarships offered by partner organizations for deserving candidates |
| Metric | Details |
|---|---|
| Placement Statistics | 95%+ placement rate in the past three years |
| Average Salary | 5.5+ LPA (Lakhs Per Annum) |
| Salary Range | 4.5 LPA to 12 LPA depending on specialization and performance |
| Top Recruiters | Leading biotech companies, pharmaceutical firms, research institutions, and IT companies specializing in healthcare |
| Career Opportunities | Bioinformatician, Computational Biologist, Research Scientist, Drug Discovery Specialist, Genomics Analyst, Data Scientist (Healthcare), Quality Assurance Specialist |
| Higher Education | Graduates can pursue Ph.D. programs in Bioinformatics, Computational Biology, or related fields |
Ques. What is the scope of the PGDBI course?
Ans. The PGDBI course covers bioinformatics, computational biology, genomics, proteomics, drug discovery, and related fields. Graduates can work in research, pharmaceutical, biotech, and IT sectors.
Ques. What are the career prospects after completing PGDBI?
Ans. Graduates can pursue careers as bioinformaticians, computational biologists, research scientists, drug discovery specialists, genomics analysts, and data scientists in healthcare sectors with excellent salary packages.
Ques. Are internships provided during the course?
Ans. Yes, the curriculum includes mandatory internships with industry partners and research institutions. Students gain practical experience in real-world bioinformatics projects during their internship period.
Ques. What is the placement record of the college?
Ans. The college has maintained a 95%+ placement rate with an average salary of 5.5+ LPA. Top recruiters include leading biotech and pharmaceutical companies.
Ques. What are the eligibility criteria for admission?
Ans. Candidates must hold a bachelor's degree in Life Science, Chemical Sciences, Physical Sciences, Mathematics, Statistics, Bioinformatics, Computer Sciences, or related fields with a minimum 50% aggregate.
Ques. Can I pursue higher education after PGDBI?
Ans. Yes, PGDBI graduates are eligible to pursue Ph.D. programs in Bioinformatics, Computational Biology, and related disciplines at reputed national and international institutions.
Ques. What is the fee structure and are scholarships available?
Ans. Total program fees range from INR 2,50,000 to 3,00,000. Merit-based and need-based scholarships covering up to 50% of tuition fees are available for qualifying students.
Ques. What skills will I develop during the course?
Ans. You will develop expertise in bioinformatics tools, programming languages (Python, R, Perl), database management, sequence analysis, structure prediction, genomics, proteomics, and drug discovery applications.
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