Skip to Content

Postgraduate Certificate in Biostatistics and Bioinformatics

Overview of the Programme

The past decade has seen enormous advances in molecular and biomedical technology resulting in the ‘omics’ revolution.

Bioinformatics covers the application of mathematics, statistics and computing to biological and clinical scenarios, and driving medical research, discovery and practice.  

The aim of the programme is to provide a strong foundation in biostatistics and bioinformatics. Essential domain knowledge and context will be provided via an introduction to cell biology. Those completing the programme will gain key, transferable, statistical, data analytical and scripting skills which will, in turn, provide a springboard into further specialist bioinformatics training and qualifications. 

The online format and blended-learning delivery of the programme is specifically designed to enable students to access learning materials in a highly flexible manner. 

Course Delivery

The programme will be delivered from January – April with assessments in May/June.

Teaching and assessment will be fully delivered online through a mixture of tailored lectures and tutorials using real-world examples, self-directed study and small group and individual support advisories.

Students will be required to participate in approximately 15 hours of scheduled teaching activities each week. A computer and Internet connection will be required. Learners will be able to virtually connect to IT resources on campus.

A total of 600 hours of effort will be required to complete the course. 

Opportunities for Progression

Careers and Further Study

This programme will give you a set of transferable skills that will facilitate access to additional academic developments (such as the MSc in Bioinformatics and Computational Genomics) and to work in industry involving health and biomedical data analysis.

Applying

Admissions and Requirements

The admission criteria for entry onto the programme are as follows:

A 2.1 Honours degree or equivalent qualification acceptable to the University in a Natural Science subject, Mathematics, Computer Science, or a relevant medical or life sciences subject.

Applicants with 2.2 Honours degree standard (or equivalent qualification acceptable to the University), will be considered on a case by case basis, if they can demonstrate appropriate experience, acceptable to the School.