The PGDip/MSc in Applied Statistics and Datamining is a one-year taught programme run by the School of Mathematics and Statistics. The course is aimed at those with a good degree containing quantitative elements who wish to gain statistical data analysis skills.
The programme consists of two semesters with taught components which include a mixture of short, intensive courses with a large proportion of continuous assessment and more traditional lecture courses with end-of-semester exams.
For those on the MSc, the taught component will be followed by a 15,000-word dissertation project taking place during the last three months of the course.
The School of Mathematics and Statistics is well equipped with personal computers and laptops, a parallel computer and an on-site library.
The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017-2018 academic year; some elements may be subject to change for 2018 entry.
This course is for biosciences graduates looking to open up a route into industry, and for practising professionals seeking to widen their experience and qualifications, and extend their knowledge of applied molecular biology/bioinformatics. It provides a sound understanding of the subject’s key principles, as well as how these can be effectively applied to a wide range of industrial and environmental applications. You will benefit from working with excellent technology and research equipment in our state-of-the-art laboratories, and you also receive a thorough grounding in the necessary computing skills needed to access important online databases, such as the human genome. You will be challenged to look to the frontiers of (and even beyond) current thinking in the subject, and to be aware of how your studies impact on your future career/professional role. To complement this, you will gain essential intellectual and transferable skills such as independent planning, hypothesis formulation and testing, and the importance of originality.
Typical modules may include:
The University of Wolverhampton has a long-standing reputation for the provision of training in Molecular Biology at all levels. The course is has been at the forefront in the identification of bioinformatic skills and has lead to graduates achieving high profile employment as bioinformaticians. This course addresses the rapidly developing field of modern genetics and prepares them for the post- genomics era. The research-active staff who are associated with the Research Institute in Healthcare Science (research evaluated as of national and international excellence at the last Research Assessment Exercise) provide a highly research-focused environment which informs both teaching and the students’ own research projects.
Career paths vary from technical to managerial in the industrial, educational, health and research sectors - typically, you will be heading for a role in the areas of general molecular biology, biochemical science, medical science and biotechnology (including pharmaceuticals). You may prefer to go into postgraduate research at an academic or private sector institution, or embark on a science teaching career.