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.
- Contact: firstname.lastname@example.org
- Teaching start: Monday, 11 January 2021
- MSc: 12 months full-time
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.
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.
- Applied Time Series and Forecasting
- Bayesian Data Analysis
- Machine Learning and Artificial Intelligence for Data Scientists
- Microeconometrics: Impact Evaluation and Causal Analysis
- 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
Programme alteration or discontinuation
The University of Glasgow endeavours to run all programmes as advertised. In exceptional circumstances, however, the University may withdraw or alter a programme. For more information, please see: Student contract.
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.
Fees & funding
Tuition fees for 2020-21
Home and EU
- Full-time fee: £9750
- Full-time fee: £23500
Fee information is subject to change and is for guidance only
- Fee for re-assessment of a dissertation (PGT programme): £360
- Submission of thesis after deadline lapsed: £340
- Registration/exam only fee: £160
ASBS New Programme Welcome Award
The Adam Smith Business School is offering New Programme Welcome Awards for January 2021 entry to UK/EU and International students. Awards are available to students applying to the new full-time MSc Data Analytics for Economics and Finance postgraduate taught programme.
The scholarships above are specific to this programme. For more funding opportunities search the scholarships database
2.1 Honours degree in Economics, Finance, Computing Science or another subject with a quantitative focus.
English language requirements
For applicants whose first language is not English, the University sets a minimum English Language proficiency level.
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 University of Glasgow accepts evidence of the required language level from the English for Academic Study Unit Pre-sessional courses. We also consider other BALEAP accredited pre-sessional courses:
- School of Modern Languages and Cultures: English for Academic Study
- BALEAP guide to accredited courses
What do I do if...
my language qualifications are below the requirements?
The University's English for Academic Study Unit offers a range of Pre-Sessional Courses to bring you up to entry level. The course is accredited by BALEAP, the UK professional association for academic English teaching; see Links.
my language qualifications are not listed here?
Please contact the Recruitment and International Office using our enquiry form
For further information about English language requirements, please contact the Recruitment and International Office using our enquiry form
We are proud of our diverse University community which attracts students and staff from over 140 different countries.
How to apply
To apply for a postgraduate taught degree you must apply online. We cannot accept applications any other way.
Please check you meet the Entry requirements for this programme before you begin your application.
As part of your online application, you also need to submit the following supporting documents:
- A copy (or copies) of your official degree certificate(s) (if you have already completed your degree)
- A copy (or copies) of your official academic transcript(s), showing full details of subjects studied and grades/marks obtained
- Official English translations of the certificate(s) and transcript(s)
- One reference letter on headed paper
- Evidence of your English Language ability (if your first language is not English)
- Any additional documents required for this programme (see Entry requirements for this programme)
- A copy of the photo page of your passport (Non-EU students only)
You have 42 days to submit your application once you begin the process.
You may save and return to your application as many times as you wish to update information, complete sections or upload supporting documents such as your final transcript or your language test.
For more information about submitting documents or other topics related to applying to a postgraduate taught programme, check Frequently Asked Questions
Guidance notes for using the online application
These notes are intended to help you complete the online application form accurately; they are also available within the help section of the online application form.
If you experience any difficulties accessing the online application then you should visit the Application Troubleshooting/FAQs page.
- Name and Date of birth: must appear exactly as they do on your passport. Please take time to check the spelling and lay-out.
- Contact Details: Correspondence address. All contact relevant to your application will be sent to this address including the offer letter(s). If your address changes, please contact us as soon as possible.
- Choice of course: Please select carefully the course you want to study. As your application will be sent to the admissions committee for each course you select it is important to consider at this stage why you are interested in the course and that it is reflected in your application.
- Proposed date of entry: Please state your preferred start date including the month and the year. Taught masters degrees tend to begin in September. Research degrees may start in any month.
- Education and Qualifications: Please complete this section as fully as possible indicating any relevant Higher Education qualifications starting with the most recent. Complete the name of the Institution (s) as it appears on the degree certificate or transcript.
- English Language Proficiency: Please state the date of any English language test taken (or to be taken) and the award date (or expected award date if known).
- Employment and Experience: Please complete this section as fully as possible with all employments relevant to your course. Additional details may be attached in your personal statement/proposal where appropriate.
Reference: Please provide one reference. This should typically be an academic reference but in cases where this is not possible then a reference from a current employer may be accepted instead. Certain programmes, such as the MBA programme, may also accept an employer reference. If you already have a copy of a reference on letter headed paper then please upload this to your application. If you do not already have a reference to upload then please enter your referee’s name and contact details on the online application and we will contact your referee directly.
- International applicants (non-EU): 26th October 2020
- Home and EU applicants: 16th November 2020