Students
Tuition Fee
GBP 5,600
Per year
Start Date
2026-01-01
Medium of studying
Fully Online
Duration
36 months
Details
Program Details
Degree
Masters
Major
Applied Statistics | Mathematics | Statistics
Area of study
Mathematics and Statistics
Education type
Fully Online
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 5,600
Intakes
Program start dateApplication deadline
2025-09-01-
2026-01-01-
About Program

Program Overview


Program Overview

The MSc Applied Statistics in Finance is a part-time online program designed for those with a background in a broad range of disciplines. The program aims to equip students with skills in problem-solving, data analysis, and the use of statistical software packages.


Key Facts

  • Start date: September or January
  • Accreditation: Royal Statistical Society: MSc graduates may qualify for GradStat status
  • Study mode and duration: online over 2 or 3 years, part-time. Standalone modules can also be taken for CPD purposes or working towards an MSc over a maximum of 5 years.

Study with Us

The program is a conversion course, designed for those with a background in a broad range of disciplines. Students will gain skills in:


  • problem-solving
  • analysis and manipulation of complex data
  • use of statistical software packages
  • interpretation and reporting of results from data analyses
  • working as an applied statistician in sectors such as insurance, finance, and commerce

Course Content

  • Compulsory classes:
    • Foundations of Probability & Statistics (20 credits)
    • Data Analytics in R (20 credits)
    • Statistical Modelling & Analysis (20 credits)
    • Financial Econometrics (10 credits)
    • Financial Stochastic Processes (10 credits)
  • Elective classes:
    • List A:
      • Quantitative Risk Analysis (10 credits)
      • Bayesian Spatial Statistics (10 credits)
    • List B:
      • Survey Design & Analysis (10 credits)
      • Effective Statistical Consultancy (10 credits)
      • Medical Statistics (20 credits)
      • Data dashboards with RShiny (10 credits)
      • Big Data Tools & Techniques (10 credits)
      • Big Data Fundamentals (10 credits)
      • Machine Learning for Data Analytics (20 credits)
  • Research project: 60 credits

Learning and Teaching

Classes are delivered using the MyPlace online teaching environment hosted by the University of Strathclyde. Students will learn through:


  • video lectures
  • interactive sessions
  • independent reading of articles and texts
  • discussion forums

Assessment

  • All assessment will be undertaken online
  • The assessment will take the form of large-scale projects where students will be asked to demonstrate their 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 the analysis
  • Group work may be undertaken in some classes

Entry Requirements

  • Academic requirements/experience:
    • Minimum second-class (2:2) 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
  • Mathematical knowledge: Applicants are required to have some prior mathematical knowledge, for example A Level or equivalent in:
    • calculus
    • linear algebra
    • differential equations
  • English language requirements: You must have an English language minimum score of IELTS 6.0 (with no component below 5.5)

Fees and Funding

  • Tuition fees: £5,600 (3-year program, price per year), £8,400 (2-year program, price per year)
  • Scholarships: Scholarships of £1,800 are available to new students joining for January entry of one of the online programs in the 2025/26 academic year

Careers

The online MSc in Applied Statistics in Finance will provide graduates with skills in the statistical analysis of data from a wide range of disciplines. These skills are required by many employers in sectors such as:


  • investment companies
  • financial institutions
  • pharmaceutical industry
  • medical research
  • government organizations
  • retailers
  • internet information providers
  • Graduate roles:
    • statistician
    • data analyst
    • software developer or engineer
    • statistical programmer
    • data scientist
    • decision scientist

Pre-Masters Preparation Course

The Pre-Masters Programme is a preparation course held at the University of Strathclyde International Study Centre, for international students (non-UK/Ireland) who do not meet the academic entry requirements for a Masters degree at the University of Strathclyde. Upon successful completion, students will be able to progress to this degree course at the University of Strathclyde.


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