MSc Statistics with Medical Applications
School of Mathematics and Statistics, Faculty of Science
We use mathematics and statistics to solve real-world problems. Our academics work with industry, business and the public sector.
About the course
Course description 2017
This new course is run in conjunction with the Medical Statistics Group in the University’s School of Health and Related Research (ScHARR). Accredited by the Royal Statistical Society, it provides professional training for a career in the medical, pharmaceutical and health services industries.
The course is based on the MSc Statistics with additional training in specialist areas of medical applications.
- Data Analysis
- Statistical Laboratory
- Linear Models
- Epidemiological Methods and Time Series
- Bayesian Inference and Further Clinical Trials
- Sampling, Design and Medical Statistics
Teaching and assessment
There are lectures, tutorials and computing sessions. You’ll do group work, presentations and role play. Most statistics lectures are recorded so you can watch them again later.
The distance learning option is taught online with support via email and phone. Distance learners also come to the University for residential weeks. You’re assessed by exams, project work and a dissertation.
- 1 year full-time
- 2-3 years part-time by distance learning
Minimum 2:1 honours degree with substantial mathematical and statistical components or a pass at an equivalent level in the Graduate Certificate.
English language requirements
Overall IELTS grade of 6.5 with a minimum of 6.0 in each component, or equivalent.
Fees and funding
You may be able to get funding from the University or an external company. Course-specific studentships may also be available. You should apply for these as soon as possible.
You can apply for postgraduate study using our Postgraduate Online Application Form. It is a quick and easy process.
If you'd like to know more about any aspect of our courses, contact us:
The course information set out here may change before you begin, particularly if you are applying significantly in advance of the start date.