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University of Glasgow: Data Analytics for Economics and Finance
| Institution | University of Glasgow View institution profile |
|---|---|
| Department | Adam Smith Business School View department profile |
| Web | glasgow.ac.uk/business |
| Study type | Taught |
Summary
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
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.
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.
Studying Data Analytics for Economics & Finance at the Adam Smith Business School
Masters student Efthymios describes studying Data Analytics for Economics & Finance at the Adam Smith Business School.
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.
Pre-sessional courses
You will have the opportunity to attend the following two preparatory (pre-sessional) courses:
- Computational Statistics and Data Analytics
- Econometrics and Statistics Review
Both are two week intensive courses that take place in September.
Core courses
- APPLIED TIME SERIES AND FORECASTING
- MICROECONOMETRICS: IMPACT EVALUATION AND CAUSAL ANALYSIS
- STATISTICAL MACHINE LEARNING
- BAYESIAN DATA ANALYSIS
Optional courses
- TEXT AS DATA FOR MSC
- DEEP LEARNING FOR MSC (M)
- CYBERSECURITY FUNDAMENTALS FOR MSC (M)
- FINANCIAL INFORMATION RETREVAL
- APPLIED COMPUTATIONAL FINANCE
- EMPIRICAL ASSET PRICING
- FINANCIAL MARKET MICROSTRUCTURE
- DATA SCIENCE FOR MARKETING ANALYTICS
Dissertation
- DISSERTATION DAEF INDUSTRY PATHWAY or DISSERTATION DAEF RESEARCH PATHWAY
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.
MSc
University of Glasgow
Adam Smith Business School
The University of Glasgow’s Adam Smith Business School has the triple crown of accreditation and is accredited by AACSB, AMBA and EQUIS, evidence of our credibility and performance worldwide. In 2019, the School was also recognised by the Athena Swan Charter, achieving a Bronze Award for gender equality. In 2020, the Adam Smith Business School became an advanced signatory of the United Nations Principles of Responsible Management Education (PRME). This signals our commitment to promote sustainability and responsible management in our teaching, research and practice.
Founded in 1451, the University of Glasgow is …
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