* Fee for re-assessment of a dissertation (PGT programme): £360 Submission of thesis after deadline lapsed: £340 Registration/exam only fee: £160
International English Language Testing System (IELTS) Academic module (not General Training)
overall score 6.5
no sub-test less than 6.0
or equivalent scores in another recognised qualification:
Common equivalent English language qualifications
All stated English tests are acceptable for admission for both home/EU and international students for this programme:
ibTOEFL: 90; no sub-test less than:
Reading: 20
Listening: 19
Speaking: 19
Writing: 23
CAE (Cambridge Certificate of Advanced English): 176 overall; no sub-test less than 169
CPE (Cambridge Certificate of Proficiency in English): 176 overall; no sub-test less than 169
PTE Academic (Pearson Test of English, Academic test): 60; no sub-test less than 59
Trinity College London Integrated Skills in English: ISEII at Distinction with Distinction in all sub-tests
For international students, the Home Office has confirmed that the University can choose to use these tests to make its own assessment of English language ability for visa applications to degree level programmes. The University is also able to accept an IELTS test (Academic module) from any of the 1000 IELTS test centres from around the world and we do not require a specific UKVI IELTS test for degree level programmes. We therefore still accept any of the English tests listed for admission to this programme.
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.
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.
More information:click here
This programme offers a distinctive and innovative multi-disciplinary approach to the field of data analytics as applied to economics and finance, comprising core and elective courses from economics, finance and computing science.
The programme will build on students’ strong interest in data analytics to develop their skills in using data rigorous methods in order to inform complex decision making, using big data.
It will provide advanced training in time series analysis, panel data econometrics and Bayesian inference, based on internationally-recognised research to equip students to apply their knowledge and skills to conduct state-of-the-art research to lead and deliver projects.
Core courses
Applied Time Series and Forecasting
Bayesian Data Analysis
Machine Learning and Artificial Intelligence for Data Scientists
Microeconometrics: Impact Evaluation and Causal Analysis
Optional courses
Applied Computational Finance
Deep Learning
Empirical Asset Pricing
Financial Information Retrieval
Financial Market Microstructure
Programming and Systems Development
Text as data – Introduction to document analytics
You will have the opportunity to attend the following two preparatory (pre-sessional) courses:
Computational Statistics and Data Analytics
Econometrics and Statistics Review
Pre-Sessional English Course
This depends on your starting level. For students aiming for the standard requirement of IELTS 6.5 and starting a degree programme in September we recommend
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.
Insurrance_fee: £300/year
