Overview
Throughout the Financial Technology MSc programme from Glasgow Caledonian University in addition to the fundamental skills and knowledge of finance, you will be exposed to leading-edge concepts in artificial intelligence (AI), blockchain (cryptocurrencies), and big data analysis among other emerging topics.
The curriculum draws on GCU’s expertise in diverse areas of finance including regulation, risk analysis, modelling, and securities and investments within the framework of systems architecture, software development, and data management. The content and teaching strategies are designed to help you gain the essential skills and knowledge to prepare you to grow as a professional within the changing landscape of the banking and finance industry.
This course will enable you to:
- Critically apply concepts of machine learning, neural networks, data science algorithms, advanced exploratory statistics to solve financial problems with applications of computational intelligence.
- Evaluate the latest software development methodologies and apply the appropriate process to the information system needs of banking and financial institutions.
- Critically analyse information collection techniques and analysis methods and manipulate and develop tools and technologies designed for capturing, processing, storing, transferring, analysing, and visualising data for financial applications.
- Develop a workable knowledge base and skills in areas of current technological development in finance (such as blockchain, distributed ledger technology, cybersecurity, payment systems and so on) as applied to risk analysis and modelling, regulation, compliance, and investment analysis.
Career opportunities:
Through its competitive strengths in the technologies sector, government support and entrepreneurial and innovative character, firms in the United Kingdom have gained 10% of the global market share in fintech, a sector which is worth more than £11bn a year to the UK. Approximately 76,000 people work in the sector with this number set to grow to more than 105,000 by 2030.
Looking at the broader financial services (FS) workforce also provides a steer in relation to aspects such as skills demand within this sector. In 2020, the most in-demand skills within the sector in were commonly digital-based including Java, software engineering, SQL and Python. Digital transformation was also identified within the FS sector as one of the key drivers for skills demand.
Programme Structure
Courses include:
- Bank Operational Risk Management
- Software Development for Data Science
- Artificial Intelligence and Machine Learning
- Data Ethics and Research Methods
- Fundamentals of Financial Technology
- Financial Risk Modelling
- Data Visualisation
- Master's Finance Research Project
Key information
Duration
- Full-time
- 12 months
- Part-time
- 12 months
Start dates & application deadlines
- StartingApplication deadline not specified.
- Starting
- Apply before , International
-
- You should apply as early in the application cycle as you can.
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Financial Technology View 90 other Masters in Financial Technology in United KingdomWhat students do after studying
Academic requirements
English requirements
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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- All entry requirements listed here should be used as a guide. Applicants who are made a conditional offer of a place may be asked to achieve more than is stated.
- International students can get information on entry requirements specific to their country in our International Study section.
- Academic IELTS score of 6.0 (or equivalent) with no element below 5.5.
- UK honours degree 2:2 (or equivalent) in any subject area.
Tuition Fees
-
International Applies to you
Applies to youNon-residents19800 GBP / year≈ 19800 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents9900 GBP / year≈ 9900 GBP / year
Additional Details
- Part-time fees are a pro rata of the full-time fee based on the number of module credits taken each trimester.
- Home/RUK: £9,900
- International: £9,900
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Financial Technology.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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