12 months
Duration
24540 GBP/year
10250 GBP/year
Unknown
Tuition fee
Unknown
Unknown
Unknown
Unknown
Apply date
Unknown
Start date

About

The Data Analytics for Economics and Finance programme from the University of Glasgow offers students a multi-disciplinary curriculum that will prepare them for work in all fields of data leading professions related to economics and finance. 

Visit the official programme website for more information

Overview

The key features of the programme include its combination of insights from economics and finance, statistics and computing science with a focus on creating a new generation of professionals who can use data-rigorous methods in order to inform complex decision making and will provide you with a set of skills that are future-proof and always in high demand. The programme is delivered collaboratively with the Adam Smith Business School and the School of Computing Science

Why this Data Analytics for Economics and Finance programme from the University of Glasgow ?

  • Join the prestigious Adam Smith business school at an exciting time as we embark on transforming the University of Glasgow into one of the leading institutions worldwide covering the field of Data Analytics.
  • Choose from a series of high-quality courses delivered from Economics and Finance in the Adam Smith Business School and the School of Computing Science.
  • You will complete advanced training in order to develop data analytic skills in preparation for successful careers in business or industry.
  • The programme also provides a solid foundation for PhD study.
  • You will have the opportunity to participate in summer project internships with some of our prestigious partners.
  • You can gain recognition for extra-curricular activities by joining the Adam Smith Business School’s Graduate Award Scheme.

Career Prospects

The MSc Data Analytics for Economics & Finance will be suitable for those who have developed a strong interest in obtaining data analytic skills combined with economic insights and aspire to follow a career in finance, banking, consulting, government and other major international institutions. 

The programme delivers a multi-disciplinary curriculum that will prepare graduates for work in all fields of data-rigorous professions related to economics and finance, as well as marketing and business. It is also advantageous for direct admission to a PhD programme.

Programme Structure

Courses include:

  • Applied Time Series and Forecasting
  • Bayesian Data Analysis
  • Machine Learning and Artificial Intelligence for Data Scientists (School of Computing Science) 
  • Microeconometrics: Impact Evaluation and Causal Analysis
  • Applied Computational Finance
    • Deep Learning (School of Computing Science)
    • Empirical Asset Pricing
    • Financial Information Retrieval
    • Financial Market Microstructure

    Key information

    Duration

    • Full-time
      • 12 months

    Start dates & application deadlines

    Credits

    180 alternative credits

    Delivered

    On Campus

    Academic requirements

    GPA admission requirements GPA
    Upper Second Class

    Other requirements

    General requirements

    2.1 Honours degree in Economics, Finance, Computing Science or another subject with a quantitative focus.

    All courses in this degree require lots of programming and, while prior programming experience is not necessary, you will be expected to gain advanced programming skills in a short time frame.

    Additional documents required when applying for this programme

    In addition to the documents listed in 'how to apply', please supply a personal statement detailing:

    • why you have applied for this programme
    • the relevant experience you have to support your application
    • how you think the programme will benefit you in the future

    It is compulsory to submit this personal statement along with the rest of your application.

    • Reference

    Please note: the reference you supply with your application should be an academic reference.

    Tuition Fee

    To alway see correct tuition fees
    • International

      24540 GBP/year
      Tuition Fee
      Based on the tuition of 24540 GBP per year during 12 months.
    • National

      10250 GBP/year
      Tuition Fee
      Based on the tuition of 10250 GBP per year during 12 months.

    Tuition fees for January start

    • UK and EU full time fee: £9,750
    • International full time fee: £23,500

    Living costs for Glasgow

    620 - 1012 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.

    Fresh content

    Updated in the last 6 months

    Check the official programme website for potential updates.

    Our partners

    Data Analytics for Economics and Finance
    -
    University of Glasgow

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