Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 12 months FT
Data is everywhere in the modern economy and businesses are seeking talented new recruits to leverage it. The ability to extract, handle, and analyse large amounts of data is a key skill at the modern company to unlock the potential of firms.
MSc Data Science for Economics offers you rigorous training in the big data methods and cutting-edge econometric tools needed to answer the most important questions facing businesses. You will be fully prepared to work as a data scientist, statistician, or economist, driving the analytical direction of their firms.
MSc Data Science for Economics will teach you how to model economic problems, collect and analyse data, conduct rigorous empirical analyses, and discuss their work with diverse audiences. The modules in this programme cover a wide range of fields within economics and data science.
You will be taught to use data for forecasting and evaluating different policy options through models built on an understanding of causal relationships. Technical skills and competencies are at the heart of each module in the programme, and at the end of their studies, you will have a familiarity with two or more software packages (such as Python, R, and STATA).
A 2:1 Honours degree (or overseas equivalent) in Economics or a related discipline with a quantitative focus.
Students with a 2:1 degree from a quantitative science discipline (e.g. Maths, Physics, Statistics, Operations Research) are also encouraged to apply.
Applicants should have competency in A Level Mathematics/ Statistics or equivalent.
See our website for fees
The Management School has secured a number of additional Dean’s 20th Anniversary Scholarships to celebrate the launch of our new Economics master’s programmes. Eligibility and more information can be found on the School’s scholarship pages.
You will have access to a specialist, in-house postgraduate careers team and have access to one-to-one careers guidance, workshops, seminars, and employability initiatives.
This new programme has been designed with employability at its heart and will appeal to students looking to work in data science and tech roles.
During the year, you can take part in dedicated skills and employability days including coding bootcamps in R and python to allow you to reach software fluency and allow you to excel at any task in the workplace.
The School will also host an event for data scientists from industry and the civil service to talk to you and give an insight into the career possibilities open to you.
SEMESTER 1
ECONOMETRIC AND STATISTICAL METHODS (ECON814)
MACROECONOMIC ANALYSIS (ECON905)
MICROECONOMIC ANALYSIS (ECON915)
SEMESTER TWO
COMPULSORY MODULES
APPLIED MACROECONOMETRICS (ECON920)
APPLIED MICROECONOMETRICS (ECON826)
MACHINE LEARNING AND BIG DATA ECONOMETRICS (ECON701)
OPTIONAL MODULES
MONEY AND BANKING (ECON916)
CURRENT TOPICS IN ECONOMICS (ECON827)
LABOUR ECONOMICS (ECON702)
PUBLIC ECONOMICS (ECON703)
FINAL PROJECT
DISSERTATION (ECON912)
Programme details and modules listed are illustrative only and subject to change.
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