Postgraduate taught 

Data Analytics for Economics & Finance MSc

Image of graphs and data

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

  • MSc: 12 months full-time

Why this programme

  • 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.

Adam Smith Business School is triple accredited

Programme structure

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 offered from the Departments of Economics, Accounting and 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.

Schedule

  • The programme begins with two pre-sessional courses in early to mid-September, one course in computational methods (Python, MATLAB and Stata), and one course in revisions of matrix algebra and statistical regression models. These courses ensure that students from different backgrounds can all catch up to the required level of pre-requisite knowledge.
  • The first semester begins in October with three core courses covering three aspects of data analysis: econometrics of macroeconomic and financial data (i.e. time series analysis); econometrics of microeconomic/disaggregated data; and machine learning inference.
  • The second semester comprises one core course and electives. The core course introduces Bayesian inference as a unified estimation methodology for all aspects of econometric models, both traditional and high-dimensional (e.g. models for policy-making that have more variables than available observations).
  • The elective courses cover various aspects of applied finance as well as data science, in order to fit the needs of students with different career prospects and different educational backgrounds.
  • Note that in order to be able to select in the second semester the two electives offered from the School of Computing Science (Text as data, and Deep Learning) students have to also select the course Programming and Systems Development (PSD) which is offered in the first semester. That is, the PSD course is a pre-requisite for the two electives from Computing Science. Our finance electives can be selected by all students without restrictions.
  • Award of the MSc in Data Analytics for Economics and Finance, requires students to accumulate 120 credits from taught courses.
  • There is also a thesis component worth 60 credits. The thesis can be delivered using the standard research pathway, or (conditionally on good performance in the core courses) the thesis can be written as part of an internship with one of our partners.

Core courses

  • 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

Optional courses

  • Applied Computational Finance
  • Deep Learning (School of Computing Science)
  • Empirical Asset Pricing
  • Financial Information Retrieval
  • Financial Market Microstructure
  • Programming and Systems Development (School of Computing Science)
  • Text as data – Introduction to document analytics (School of Computing Science)

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.

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.

Fees & funding

Tuition fees for 2021-22

MSc

UK

  • Full-time fee: £10250

International & EU

  • Full-time fee: £24540

Tuition fees for January 2021 start

  • UK and EU full time fee: £9,750
  • International full time fee: £23,500

Additional fees

  • Fee for re-assessment of a dissertation (PGT programme): £370
  • Submission of thesis after deadline lapsed: £350
  • Registration/exam only fee: £170

Fee information is subject to change and is for guidance only

Funding opportunities

University of Glasgow African Excellence Fee Waiver

For September 2021 entry we are offering 10 scholarships worth the full tuition fee of a one-year Masters programme to academically excellent students from Africa. 

University of Glasgow Chancellors Award (Nigeria)

The University of Glasgow has 10 Chancellors Award Scholarships available to Nigerian students starting a postgraduate taught Masters programme in any discipline in academic session 2021-22. The scholarship is awarded as a tuition fee discount.

Alumni Discount

The University offers a 10% discount on all Postgraduate Research and full Postgraduate Taught Masters programmes to its alumni. This includes University of Glasgow graduates and those who have completed a Study Abroad programme or the Erasmus Programme at the University of Glasgow. The discount applies to all full-time, part-time and online programmes.

The scholarships above are specific to this programme. For more funding opportunities search the scholarships database

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.

Additional documents required when applying for this programme

In 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.

English language requirements

Important information for entry in Autumn 2020 and January 2021

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.

Pre-sessional courses

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:

FAQs

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

International students

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.

Documents

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.

Application deadlines

January 2021 entry

  • Applications are now closed.  Please apply for entry to the programme in September 2021.

September 2021 entry

  • International applications (non-EU): to be confirmed
  • Home/EU applications: to be confirmed
Apply now

More information about this programme