12 months
Duration
27230 GBP/year
11120 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The MSc in Data-Intensive Analysis at the University of St Andrews 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.

Overview

The MSc in Data-Intensive Analysis at the University of St Andrews is a one-year taught programme run collaboratively by the Schools of Computer Science and Mathematics and Statistics. The course consists of two semesters of taught modules followed by an 11-week project leading to the submission of a 15,000-word dissertation in August.

Highlights

  • The course develops practical skills in derivation, validation and deployment of predictive models based on collected data, and provides training in the use of industry- and research-standard technologies and techniques.
  • Students undertake a significant project including a wide-ranging investigation leading to their dissertation, which enables them to consolidate and extend their specialist knowledge and critical thinking.
  • Students have 24-hour access to modern computing laboratories, provisioned with dual-screen PC workstations and group-working facilities.

Careers

Alumni of Computer Science MSc programmes have gone on to work in a variety of global, commercial, financial and research institutions, including:
  • Amadeus
  • Amazon
  • Atlas
  • Avaloq
  • Barclays Capital
  • BP
  • BT Openreach
  • Capricorn Ventis
  • FactSet
  • Hailo
  • Hewlett Packard
  • Hitachi Data Systems

Programme Structure

Courses include:

  • Advanced Data Analysis
  • Computing in Statistics
  • Data Analysis
  • Knowledge Discovery & Datamining
  • Statistical Modelling
  • Data-Intensive Systems
  • Information Visualisation

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Start from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of St Andrews and/or in United Kingdom, please visit Student Insurance Portal.

Other requirements

General requirements

  • A good 2.1 Honours undergraduate degree, plus evidence of some previous programming experience.
  • CV
  • personal statement (optional)
  • two original signed academic references
  • academic transcripts and degree certificates 
  • evidence of English language proficiency (required if English is not your first language).

Tuition Fee

To alway see correct tuition fees
  • International

    27230 GBP/year
    Tuition Fee
    Based on the tuition of 27230 GBP per year during 12 months.
  • National

    11120 GBP/year
    Tuition Fee
    Based on the tuition of 11120 GBP per year during 12 months.

Living costs for St Andrews

660 - 1140 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data-Intensive Analysis
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University of St Andrews

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