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MSc Financial Technology

  • Postgraduate
  • London
MSc Financial Technology
Middlesex University London

Course Overview

Intake

N/A

Duration

1 year

Course Description

The Financial Technology MSc at Middlesex University London is designed to equip students with the essential financial, mathematical, and programming expertise required to develop innovative products within the rapidly growing fintech sector. This postgraduate degree is ideal for those looking to contribute to technical development in either start-ups or established financial institutions. Available as a one-year full-time programme or a two-year part-time option, the course offers a global perspective and focuses on practical, task-based learning. Students will engage with artificial intelligence, machine learning, blockchain, and data analytics, applying these tools to solve real-world problems. A key feature of the programme is the opportunity to co-design learning activities and collaborate internationally with peers across the institution's global campuses. By the end of the course, students will have developed a comprehensive portfolio of practical solutions, demonstrating their ability to navigate the complexities of modern financial technology. The institution reserves the right to adjust course content and services in response to changing circumstances, ensuring academic standards remain a priority throughout the student journey.

Tuition Fee Details

Full-time UK students: £11,700. The tuition fees for part-time UK study are subject to annual review and the institution reserves the right to increase the fees each academic year by no more than the level of inflation. The university reserves the right to increase postgraduate tuition fees in line with changes to legislation, regulation and any government guidance or decisions. Tuition fees may be subject to change by Middlesex University London. Applicants should check the institution website for the latest fee information.

Entry Requirements

Academic Requirements


UK qualifications

An honours degree normally classified 2.2 or above, or equivalent, with programming or data analysis in its curriculum.

A minimum of three years' relevant work experience and the ability to study at postgraduate level.

English Language Requirements


Other

Information available via the institution's English language requirements page.

Other Requirements


Other

Applicants are encouraged to highlight relevant qualities such as being forward-thinking, creative, and collaborative in their personal statement.

For more information about the General Entry Requirements please visit the institution page

Course Structure

Python, AI and Machine Learning for Financial Technology

30 Credits

Advanced Software Development for Financial Technology

15 Credits

Financial Markets and Data Analytics for Financial Technology

30 Credits

Current Topics in Financial Technology

15 Credits

Mathematics and Blockchain Technology for Financial Technology

30 Credits

Financial Technology Project

60 Credits

Frequently Asked Questions

Graduates are well-prepared for roles such as Data Scientist, Data Analyst, DevOps Engineer, Machine Learning Engineer, Quantitative Analyst, Blockchain Developer, and Software Developer within the financial sector and fintech start-ups. Nova Pathways can assist you in exploring how these roles align with your career aspirations.