Course summary
This one year Masters degree will provide vocational training in applied statistics. This is a conversion course, designed for candidates from a broad background of disciplines. Students will gain skills in: problem solving; big data; the use of statistical software for data analysis and reporting.On the Applied Statistcs MSc programme you'll have the opportunity to acquire:
- an in-depth knowledge of modern statistical methods used to analyse and visualise real-life data sets, and the experience of how to apply these methods in a professional setting
- skills in using statistical software packages used in government, industry and commerce
- the ability to interpret the output from statistical tests and data analyses, and communicate your findings to a variety of audiences including health professionals, scientists, government officials, managers and stakeholders who may have an interest in the problem
- problem solving and high numeracy skills widely sought after in the commercial sector
- practical experience of statistical consultancy and how to interact with professionals who require statistical analyses of their data
Modules
Foundations of Probability & Statistics; Data Analytics in R; Applied Statistical Modelling; Medical Statistics; Quantitative Risk Analysis; Survey Design & Analysis; Bayesian Spatial Statistics; Effective Statistical Consultancy; Financial Econometrics; Financial Stochastic Processes; Business Analytics; Risk Analysis & Management; Optimisation for Analytics; Research Project.
Assessment method
The form of assessment varies from class to class. For most classes the assessment involves both coursework and examinations.
Entry requirements
Minimum second class honours degree or international 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
No fee information has been provided for this course
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