PhD Biodata Analytics and Computational Genomics At KNUST

Biodata Analysis and Management,Genome Analytics, Interoperability and Data Life Cycle, the process of generating, gathering and analysing genomic data from beginning to end. the latest innovations and need-to-know resources in data storage, compression and discoverability.

PhD Biodata Analytics and Computational Genomics Degree.

PhD Programmes (Full-Time) are of Four (4) Calendar Years and (PartTime) are of Five (5) Calendar Years duration.

PhD Biodata Analytics and Computational Genomics  At KNUST Entry Requirement.

1 Applicants must have obtained MPhil/MSc Degree from a reputable and
accredited University or Institution of Higher Learning.

2 Applicants with MPhil/MSc Degree in the Sciences, such as
Biotechnology, Molecular Biology, Biochemistry, Biological Sciences,
Medicine, Pharmacy, Computer Science, Engineering, Statistics and
Mathematics may apply.

3 Candidates in MPhil Biodata Analytics and Computational Genomics
programme may apply for PhD after passing a Comprehensive Examination.

4 Applicants must attend and pass an interview that will be conducted by
an admission committee set up by NIMS Ghana and the Department of
Biochemistry and Biotechnology, KNUST.