Ph.D. (Computational Biology and Bioinformatics) From CUHP, Kangra

CUHP offers the innovative research-oriented Ph.D. degree in several disciplines. For course completion, Ph.D. scholars need to earn 120 RD Credits in at least 3 years/ 6 semesters while the maximum duration allowed is 6 years/ 12 semesters. The university may consider granting a further extension of 2 semesters above the maximum time limit under special cases for the completion of the Ph.D. degree.

Candidates who have completed M.Phil. from CUHP, will be considered for lateral entry into Ph.D., provided they apply within three years of receiving the M. Phil. degree.

Eligibility

• Ph.D. Applicants should have completed a post-graduation degree from a UGC-recognized university or either a professional degree declared equivalent to the post-graduation degree by the corresponding statutory regulatory body or a foreign degree accredited by an authorized Assessment and Accreditation Agency.
• They should have scored a minimum aggregate of 55% or an equivalent grade B in the UGC 7-point scale in the qualifying examination.
• Candidates who hold a regular Degree equivalent to M.Phil. from either an Indian or an accredited foreign institution will also be considered eligible to apply.
• Candidates who have completed M.Phil.(Regular) course work with at least 55% aggregate score or an equivalent grade B in the UGC 7-point scale, will be considered eligible to pursue research-work leading to Ph.D. Degree.
• Sponsored candidates employed with a higher education institution/ govt. department/ PSU/ R&D Organization/ private industry with at least three years of experience and relieved on study leave to pursue Ph.D. are also eligible to apply.
• Ph.D. applicants must have qualified either UGC-NET/CSIR/JRF/ICAR-NET/SLET/GATE/or the university conducted entrance test HPKVSPP.

Selection Criteria

• Ph.D. applicants should accompany a 1000-word research proposal and two recommendation letters.
• Candidates who score a minimum of 50% in the entrance test are called for Personal Interview.
• Admission is based on a composite score taking together academic merit, admission test score, and personal interview performance, with weightage distributed at the rate of 40%, 30% and 30% respectively.