Data Analytics for Economics and Finance MSc

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, 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. The programme is delivered collaboratively with the Adam Smith Business School and the School of Computing Science.<br/><br/>**WHY THIS PROGRAMME**<br/><br/><br/>- 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.<br/><br/><br/>- 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.<br/><br/><br/>- You will complete advanced training in order to develop data analytic skills in preparation for successful careers in business or industry.<br/><br/><br/>- The programme also provides a solid foundation for PhD study.<br/><br/><br/>- You will have the opportunity to participate in summer project internships with some of our prestigious partners.<br/><br/><br/>- You can gain recognition for extra-curricular activities by joining the Adam Smith Business School’s Graduate Award Scheme.<br/><br/><br/>- Adam Smith Business School is triple accredited. <br/><br/><br/>**PROGRAMME STRUCTURE**<br/><br/>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.<br/><br/>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.<br/><br/>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. <br/><br/>**Core Courses**<br/>Applied Time Series and Forecasting<br/>Bayesian Data Analysis<br/>Machine Learning and Artificial Intelligence for Data Scientists (School of Computing Science) <br/>Microeconometrics: Impact Evaluation and Causal Analysis<br/><br/>**Optional Courses**<br/>Applied Computational Finance<br/>Deep Learning (School of Computing Science)<br/>Empirical Asset Pricing<br/>Financial Information Retrieval<br/>Financial Market Microstructure<br/>Programming and Systems Development (School of Computing Science)<br/>Text as data – Introduction to document analytics (School of Computing Science)<br/><br/>Award of the MSc in Data Analytics for Economics and Finance, requires students to accumulate 120 credits from taught courses.<br/>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.<br/><br/>You will have the opportunity to attend the following two preparatory (pre-sessional) courses: <br/>Computational Statistics and Data Analytics <br/>Econometrics and Statistics Review