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Applied Statistics with Data Science (online) at University of Strathclyde - UCAS

Course options

2024 - 20252025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

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 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. 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
The course is entirely delivered online. The course is ideally suited to those working full-time or with other commitments. You can study and complete the modules when it’s most convenient for you – you don’t need to be online at specific times. The course has been designed by academics who also work as statisticians in the public sector, who are experts in understanding real-life statistical problems, data, and relating theory to practice. The skills set provided will also equip you with the necessary training to work as an applied statistician or data analyst/scientist in a broad range of areas including health, insurance, finance, and social sciences.

Modules

Throughout your studies, you'll take 80 credits of compulsory taught classes and 40 credits of taught elective classes. In your final year, you'll also undertake your MSc Project (60 credits) Compulsory classes: Foundations of Probability & Statistics; Data Analytics in R; Statistical Modelling & Analysis; Big Data Fundamentals; Big Data Tools & Techniques; Research project Elective classes: Data dashboards with Rshiny; Quantitative Risk Analysis; Survey Design & Analysis; Financial Econometrics; Financial Stochastic Processes; Medical Statistics; Effective Statistical Consultancy; Bayesian Spatial Statistics; 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

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, such as 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

£5,600 (3-year programme, per 60 credits) £8,400 (2-year programme, per 90 credits)

Sponsorship information

www.strath.ac.uk/studywithus/scholarships/

Applied Statistics with Data Science (online) at University of Strathclyde - UCAS