Graduate Certificate in Bioinformatics

1. 1. Entry requirements To be eligible for entry, you'll need: a bachelor's degree (or equivalent) in any discipline, including two courses in any combination of computer science, biology or statistics, or 2 years full-time equivalent, relevant work experience (see below). You must have a grade point average (GPA) of 4.5 on a 7-point scale in your previous qualification. Relevant work experience includes work in bioinformatics, information technology, data science, computer engineering, statistics, biotechnology, science, biomedical science, genetics, molecular biology, and biochemistry. 2. Grade Point Average (GPA) on a 4 point scale where 1 is a pass.: 1.5 3. Grade Point Average (GPA) on a 7 point scale where 4 is a pass: 4.5 4. China 211 universities: 70 5. China non-211 universities: 75 6. India Section 1 Grade Point Average (GPA) on a 10 point scale where 4.5 is a pass.: 5.88 7. India Section 1 Grade Point Average (GPA) on a 10 point scale where 4 is a pass.: 5.5 8. India Section 1 Grade Point Average (GPA) on a 10 point scale where 5 is a pass.: 6.25 9. India Section 1 Grade Point Average (GPA) on a 4 point scale where 1 is a pass.: 1.75 10. India Section 1 Grade Point Average (GPA) on a 4 point scale where 2 is a pass.: 2.5 11. India Section 1 Grade Point Average (GPA) on a 7 point scale where 2 is a pass.: 3.25 12. India Section 1 Grade Point Average (GPA) on a 7 point scale where 4 is a pass: 4.75 13. 100% scale, where 50% is a Lower 2nd Class pass.: 59% 14. Grade Point Average (GPA) on a 4 point scale where 2 is a pass.: 2.35 15. Grade Point Average (GPA) on a 5 point scale where 2 is a pass.: 2.5 2. 1. Entry requirements To be eligible for entry, you'll need: a bachelor's degree (or equivalent) in any discipline, including two courses in any combination of computer science, biology or statistics, or 2 years full-time equivalent, relevant work experience (see below). You must have a grade point average (GPA) of 4.5 on a 7-point scale in your previous qualification. Relevant work experience includes work in bioinformatics, information technology, data science, computer engineering, statistics, biotechnology, science, biomedical science, genetics, molecular biology, and biochemistry. 2. {}