MSc Data Analytics for Economics & Finance

The programme offers students a multi-disciplinary curriculum that will prepare them for work in all fields of data leading professions related to economics and finance, as well as marketing and business. 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.

WHY THIS PROGRAMME

  • You will 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.
  • You will have the choice of a series of high-quality courses from economics and finance in the triple accredited Adam Smith business school.
  • 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.

Read more

Modules

  • APPLIED TIME SERIES AND FORECASTING
  • BAYESIAN DATA ANALYSIS
  • DATA SCIENCE FOR MARKETING ANALYTICS
  • MICROECONOMETRICS: IMPACT EVALUATION AND CAUSAL ANALYSIS
  • MACHINE LEARNING & ARTIFICIAL INTELLIGENCE FOR DATA SCIENTISTS (M)
  • APPLIED COMPUTATIONAL FINANCE
  • DEEP LEARNING FOR MSC (M)
  • EMPIRICAL ASSET PRICING
  • FINANCIAL MARKET MICROSTRUCTURE
  • FINANCIAL INFORMATION RETREVAL
  • DISTRIBUTED AND PARALLEL TECHNOLOGIES (M)
  • TEXT AS DATA - AN INTRODUCTION TO DOCUMENT ANALYTICS (M)
  • £30,240 Per Year

    International student tuition fee

    1 Year

    Duration

    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024

    Mode of Study

    • Full Time