As the modern financial industry increasingly turns to big data to inform investment decisions, there is a growing demand for professionals with a specialisation in data analytics. This course equips students with data analysis skills that are in short supply and can be utilised in algorithmic trading, machine learning and artificial intelligence applications.
Students will 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 their choice. they’ll also be taught how to use programming languages (e.g. Python, R) to analyse data and get a thorough understanding of core financial theory and investment practices. In addition, they'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 students can get first-hand experience of real-world trading, and the Student Managed Investment Fund, which provides experience of managing actual funds through targeted investments. All these features help to enhance employability, provide practical skills, and play a part in a world-leading student experience.
| Level | Masters |
| Discipline | Business & Management |
| Duration | 12 months |
| Intakes | Sep |
| Application Fees | GBP 0 |
| Tuition Fees | GBP 21845 |
| Campus | Main |
| Language proficiency (minimum) | |
| IELTS | 6 |
|---|---|
| TOEFL | 78 |
| PTE | 60 |
| Duolingo | Not Accepted |
| Exam proficiency (minimum) | |
| SAT | Not Required / Waiver |
|---|---|
| ACT | Not Required / Waiver |
| GRE | Not Required / Waiver |
| GMAT | Not Required / Waiver |
Minimum GPA - 70%
452
401-500
801-900
614
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