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MSc - Master of Science
University of Sussex
Full Time
SEP-26
1 Year
Select a course option
MSc - Master of Science
University of Sussex
Full Time
SEP-26
1 Year
MSc - Master of Science
University of Sussex
Part Time
SEP-26
2 Years
Select a an exam type
Learn to apply economic theories and develop enhanced data science skills. On this MSc you’ll gain a practical skillset that is in demand in today’s job market. You’ll build a comprehensive knowledge of Economics with a strong grounding in its applications using computing and programming skills. This will enable you to analyse large and complex data sets to solve complex problems. These skills are essential in analysing economic policy and financial markets, as well as utilising data for informed decision-making. On this course you’ll: • study machine learning techniques, text analysis, neural networks and econometric methods • use programming languages to address economic problems • work with real-world scenarios, take part in collaborative projects and gain exposure to industry practices • gain advanced skills in data communication, visualisation and presentation. Your applied dissertation will give you the opportunity to put your knowledge into practice to tackle complex problems with real-world implications. You’ll learn from experts in applied quantitative research. Our faculty are working to solve real-world problems, and many work with our research centres, including the Centre for Inclusive Trade Policy (CITP) and the UK Trade Policy Observatory (UKTPO). We have strong industry collaborations and you can join guest lectures. These are valuable networking opportunities and could enhance your career development. We also teach you about ethical considerations to build your sense of social responsibility for your future career. You’ll graduate ready to assess individuals’ economic behaviour and analyse policy-relevant economic problems. This course will open up a range of career options, including in economic policy analysis, financial markets, or roles utilising data for informed decision-making.
Degree requirements- You should have an upper second-class (2.1) undergraduate honours degree or above. Subject-specific requirements - Your qualification should be in economics, physics, engineering, science, computing, mathematics or life sciences. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.
Students living in
Domestic
£14,995 per year
Students from Domestic
This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)
£14,995 per year
Students from Other UK
This is the fee you pay if the University is not in the same country that you live in (England, Scotland, Wales, Northern Ireland)
£14,995 per year
Students from Channel Islands
£24,995 per year
Students from EU
The amount you'll pay if you come to study here from somewhere in the EU.
£24,995 per year
Students from International
Books, course materials and other costs (average) - £10 to £15 per week
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