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
- 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
- Starting
- Apply before , National
- Apply before , International
- Apply before , EEA/EU
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Language
Credits
Delivered
Disciplines
Economics Finance Business Intelligence & Analytics View 572 other Masters in Economics in United KingdomAcademic requirements
English requirements
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 programmeIn 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
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International
25750 GBP/yearTuition FeeBased on the tuition of 25750 GBP per year during 12 months. -
National
10950 GBP/yearTuition FeeBased on the tuition of 10950 GBP per year during 12 months.
Living costs for Glasgow
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.