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FinTech with Industrial Placement - MSc

FinTech with Industrial Placement - MSc

Different course options

Study mode

Full time

Duration

1 year

Start date

25-SEP-23

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Financial Services

Course type

Taught

Course Summary

Are you numerical, data-driven and interested in new and innovative technology? Do you want to gain vital work experience as you study?

Overview

Fintech is changing the financial world - from Cryptocurrency, coding and artificial intelligence to smartphone use in banking and investments. Simply put, Fintech is the technology that works with financial exchanges. Employment roles in the field include being a cybersecurity analyst, an AI and Machine Learning Engineer or financial software and app developer.

Our brand-new MSc in FinTech has been developed jointly by industry leaders and academic experts and sets out to prepare graduates with a strong background in financial theory and integral understanding of the latest innovative technologies imperative in the sector.

Taking a 12-month industrial placement allows you to gain work experience in the UK or overseas as part of your Master's. While the placements are self-sought, the School offers support through extra-curricular engagement with our dedicated placements team. Opting for this course with a placement takes the length of your course to up to two years.

Careers

Successful KBS graduates: graduate destinations

This specialist programme prepares students for a variety of competitive and exciting roles within financial institutions, hedge funds, technology companies and start-ups.

Students who studied similar courses at Kent Business School have gone on to work in a variety of companies including:

  • Dolfin Group Wealth Management
  • NatWest
  • Huawei
  • US Bank
  • Caterpillar
  • Eurex

Modules

This module provides a general introduction to the quantitative methods used in financial applications and topics may include: Statistical concepts; Probability distributions; Statistical inference, estimation and hypothesis testing; Correlation, spurious correlation and general dependence measures etc.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

11,400

International fees
Course fees for EU and international students

For this course (per year)

21,200

Entry requirements

A minimum of a second-class UK degree, or an equivalent internationally recognised qualification in areas such as the sciences, engineering, computing, maths, finance and/or business. Quants/programming based background is required. All applicants are considered on an individual basis and additional qualifications, professional qualifications and relevant experience may also be taken into account when considering applications.

University information

The University of Kent is a leading international higher education institution, with a reputation for academic excellence and the unofficial title of the UK’s ‘European university’. With postgraduate centres in Paris and Brussels alongside the Canterbury and Medway main campuses, students will find that the university is the perfect place to sharpen their focus and broaden their horizons as they continue their studies. The university is...more