Finance and Data Analytics
Application deadlines: April 30
Processing time: 30 days
International tuition: £18,950
Domestic tuition: £8,500
The MSc Finance and Data Analytics course provides all the necessary tools for a successful career in the financial industry. You’ll learn how to use programming languages (e.g. Python, R) to analyse data and get a deep understanding of core financial theory and investment practices. The first semester of the program is devoted to developing core financial and data analytics skills. In the second semester, you can choose from a wide selection of modules that will allow you to further strengthen your skills in data analytics and investments. During the summer, you’ll write a dissertation on a finance-related topic of your choice, applying the skills you’ve learned during the year.
This program can be done
- TOEFL iBT
A minimum of a second class Honours degree or equivalent. Applicants without these formal qualifications but with significant appropriate/relevant work/life experience are encouraged to apply. Or minimum grade of 7/10 in a Specialist Diploma. English language requirements: IELTS 6.0 with 5.5 in each skill; Pearson Test of English (Academic) 54 overall with a minimum of 51 in each sub-skill; IBT TOEFL 78 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing.
You’ll graduate from the MSc Finance and Data Analytics course with the skills to meet the modern financial industry’s demand for the use of big data to inform investment decisions. The innovative week-long global financial boot camp run by Amplify will give you real-world experience of trading, while our guest lecturer programme gives you the chance to learn from, and network with, industry leaders. This course opens up a range of exciting career opportunities, including: Fund management Security dealing Financial engineering Management consultancy Corporate finance Data analysis work within investment and central banks, and accountancy firms
Stirling , United Kingdom