Planit


Data Analytics for Economics and Finance

University of Glasgow

Venues

Gilmorehill Campus

Content

This 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. 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

Entry 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.

Start Date

September

Qualification

Postgraduate Master's

Award

MSc

Study Method

Full time

Course Length

12 months

Faculty

College of Science and Engineering

Department

School of Mathematics and Statistics

SCQF Level

11

Website

www.gla.ac.uk

Career Area

Computing and ICT

Career Sectors

Computer Skills

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Computing General

IT Security

IT Support

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HNC and HND Other Qualifications

Programming and Development

Systems and Networks

Web and Multimedia