Skip navigation
Data-Intensive Analysis at University of St Andrews - UCAS

Course options

2024 - 20252025 - 2026
Apply

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

Course summary

The MSc in Data-Intensive Analysis is an interdisciplinary course providing students with an understanding of how data is used to gain useful insights in all areas of scientific endeavour. The programme has a substantive statistical component – both theory and practice – allied to computational data science and visualisation.

Modules

Compulsory modules: 1. Introductory Data Analysis 2. Advanced Data Analysis 3. Knowledge Discovery and Datamining 4. Applied Statistical Modelling using GLMs Optional modules. Students choose four of the following optional modules.  1. Computing in Statistics 2. Data-Intensive Systems 3. Information Visualisation 4. Masters Programming Projects 5. Object-Orientated Modelling, Design and Programming 6. Programming Principles and Practice 7. Software for Data Analysis Project: During the second semester, students work with staff to define and agree upon a topic for the extended project, which they will work on during the final three months of the course, and which culminates in a 15,000-word dissertation. Dissertation projects may be group-based or completed individually (students are assessed individually in either case). The dissertation typically comprises:

  • a review of related work
  • the extension of existing or the development of new ideas
  • software implementation and testing
  • analysis and evaluation.
Students are required to give a presentation of their work in addition to the written dissertation. Each project is supervised by one or two members of staff, typically through regular meetings and reviews of software and dissertation drafts. Supervisors and topics may be from either of the schools of Computer Science or Mathematics and Statistics and many are in collaboration with companies or other external bodies. If students choose not to complete the dissertation requirement for the MSc, there is an exit award available that allows suitably qualified candidates to receive a Postgraduate Diploma instead, finishing the course at the end of the second semester of study.

Assessment method

Most modules are assessed through practical coursework exercises and examinations.

Entry requirements

- A 2.1 Honours undergraduate degree, plus evidence of some previous programming experience in an object-orientated language (for example, Java). - If you studied your first degree outside the UK, see the University's international entry requirements.

English language requirements

For the current English Language requirements please visit the English language requirements for postgraduate students on the University of St Andrews website.

English language requirements for postgraduate students

https://www.st-andrews.ac.uk/subjects/entry/language-requirements/postgraduate/

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

For the most current information on course fees please visit https://www.st-andrews.ac.uk/study/fees-and-funding/postgraduate/taught/.

Sponsorship information

The University of St Andrews is committed to attracting the very best students, regardless of financial circumstances. Find out more about the scholarships (https://www.st-andrews.ac.uk/study/fees-and-funding/scholarships/) and postgraduate loans available (https://www.st-andrews.ac.uk/study/fees-and-funding/postgraduate/loans/).

Data-Intensive Analysis at University of St Andrews - UCAS