Course summary
Our MSc in Applied Statistics is a conversion course, offering the opportunity to develop skills in statistics and data analysis even if you have never studies statistics before. You will be supported by members of staff who work directly with industry to develop skills which are relevant to current areas of research including population health and medicine, animal and plant health, finance and business. Students will gain skills in:
- problem solving
- analysis and manipulation of complex data
- the use of statistical software for data analysis and reporting
- effective communication of statistics
Modules
Throughout your studies, you will take 60 credits of compulsory taught classes, 60 credits of elective taught classes, and in the third (summer) term you'll also undertake your MSc Project (60 credits) Programmes terms are as follows: Semester 1 September to December Semester 2 January to April Semester 3 April to July Semester 1 Foundations of Probability & Statistics; Data Analytics in R; Experimental Design; Multivariate Analysis Semester 2 Students are required to take at least 10 credits from List A and the remaining 50 credits can be from List A and/or List B modules. List A Quantitative Risk Analysis; Bayesian Spatial Statistics; List B Survey Design & Analysis; Effective Statistical Consultancy; Medical Statistics; Financial Econometrics; Financial Stochastic Processes; Data Dashboards with Rshiny; Big Data Tools & Techniques Big Data Fundamentals Machine Learning for Data Analytics Statistical Machine Learning Semester 3 Research project
Assessment method
The form of assessment varies from class to class. For most classes the assessment involves both coursework and examinations. The assessment will take ask you to demonstrate your statistical knowledge and skills to analyse real world data and interpret the results in the context of the research question Projects will involve writing code, interpreting statistical outputs, and producing a report, or presentation outlining the findings from your analysis Group work may be undertaken in some classes
Professional bodies
Professionally accredited courses provide industry-wide recognition of the quality of your qualification.
- Statistical Society, Royal
Entry requirements
Minimum second class honours degree or overseas equivalent. Mathematical training to A Level or equivalent standard. Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply. For Australia and Canada, normal degrees in relevant disciplines are accepted. Applicants are required to have some prior mathematical knowledge, for example A Level or equivalent in; calculus; linear algebra; differential equations. You must have an English language minimum score of IELTS 6.0 (with no component below 5.5).
Fees and funding
Tuition fees
| England | £11900 | Year 1 |
| Northern Ireland | £11900 | Year 1 |
| Scotland | £11900 | Year 1 |
| Wales | £11900 | Year 1 |
| International | £25500 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Sponsorship information
https://www.strath.ac.uk/studywithus/scholarships/
Provider information
University of Strathclyde
McCance Building
16 Richmond Street
Glasgow
G1 1XQ