Data Analytics for Economics and Finance MSc

at Adam Smith Business School

Core Modules

• Applied Time Series And Forecasting
• Bayesian Data Analysis
• Data Science For Marketing Analytics
• Microeconometrics: Impact Evaluation And Causal Analysis
• Machine Learning & Artificial Intelligence For Data Scientists (M)

• 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.
   

International English Language Testing System (IELTS) Academic module (not General Training)

• 6.5 with 2 sub-tests at 6.5 and 2 sub-tests at 6.0.
• Tests must have been taken within 4 years 5 months of start date.

Tuition Fees

International & EU

• Full-time fee: £27930

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.