As the modern financial industry increasingly turns to big data to inform investment decisions, there is a growing demand for professionals with a specialization in data analytics. This course equips you with data analysis skills that are in short supply and can be Utilized in algorithmic trading, machine learning, and artificial intelligence applications. As you study, youll develop core skills in finance, investments, and data analytics €“ all of which can be applied in a final dissertation on a finance-related topic of your choice. Youll also be taught how to use programming languages (e.g. Python, R) to analyze data and get a thorough understanding of core financial theory and investment practices. In addition, you'll have the opportunity to use professional financial databases, such as Bloomberg, Eikon, and S&P Capital IQ. Other features of the course include the Amplify Trading Boot Camp, where you can get first-hand experience of real-world trading, and the Student Managed Investment Fund, which provides experience in managing actual funds through targeted investments.
A minimum of a second class honors degree or equivalent. Applicants without these formal qualifications but with significant appropriate/relevant work/life experience are encouraged to apply.
IELTS Indicator 6.5 with a minimum of 6.0 in each sub-skill_x000D_ IBT TOEFL 80 overall with 18 in reading, 23 in writing, 19 in listening, and 21 in speaking
Accounting, Finance and Economics
Stirling
Postgraduate
1
September
6.0
£20,845,
Docklands, Stratford, University Square
£ £10,730, £14,740
Middle Sex
£ £8,100, £18,600
University Park (Nottingham, UK), Jubilee Campus (Nottingham, UK), Sutton Bonington (Nottingham, UK), Semenyih (Malaysia), Ningbo (China)
6.5
£ 27200
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