Course summary
Our online MSc in Applied Statistics with Data Science is a conversion course, offering the opportunity to develop skills in statistics and data analysis even if you have never studied statistics before. You will be supported through this three-year part-time programme 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. Over the three years, our students gain skills in:
- problem-solving
- big data technologies
- the use of statistical software for data analysis and reporting
- Python and R programming for data analysis
- cloud storage systems
Modules
In Year 1 all classes are compulsory, this amounts to 60 credits. Year 1 compulsory modules are: • Foundations of Probability & Statistics • Data Analytics in R • Statistical Modelling & Analysis In Year 2 you are required to take 20 credits of compulsory classes and 40 credits of optional classes. Year 2 compulsory modules • Big Data Fundamentals • Bid Data Tools & Techniques Year 2 optional modules • Medical Statistics • Quantitative Risk Analysis • Bayesian Spatial Statistics • Effective Statistical Consultancy • Survey Design & Analysis • Risk Analysis • Financial Econometrics • Financial Stochastic Processes
- Machine Learning for Data Analytics
Assessment method
All assessment will be undertaken online. The assessment will take the form of large-scale projects where you’ll be asked to demonstrate your knowledge on a real-world data set. 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.
Entry requirements
All assessment will be undertaken online. The assessment will take the form of large-scale projects where you’ll be asked to demonstrate your knowledge on a real-world data set. 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.
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
Sponsorship information
www.strath.ac.uk/studywithus/scholarships/
Provider information
University of Strathclyde
McCance Building
16 Richmond Street
Glasgow
G1 1XQ