MSc Financial Technology 12 months Postgraduate Programme By Glasgow Caledonian University |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

19,800 GBPTuition Fee/year

Starting Month

SepStarting Month

Programme overview

Main Subject

Finance

Degree

MSc

Study Level

Masters

Study Mode

On Campus

This course will enable you to build on your experience in finance. You’ll gain highly sought-after skills in big data management techniques, computing programming and analytics - essential for securing a leading role in the banking and financial sectors.

Advances in technology have created radical changes to financial operations, products and services. The curriculum draws on the University’s expertise in diverse areas of finance, including in regulation, risk analysis, modelling, and securities and investments within the framework of systems architecture, software development, and data management.

This course will enable you to:

  • Gain a good understanding of the fast-evolving nature of finance and the role of technology
  • Critically apply concepts of neural networks, data science algorithms, and advanced exploratory statistics to solve financial problems
  • Evaluate the latest software development methodologies
  • Critically analyse information collection techniques, analysis methods and manipulate and develop tools and technologies designed for capturing, processing, storing, transferring, analysing, and visualising data for financial applications
  • Develop a working knowledge of current technological development in finance, including in blockchain, distributed ledger technology, cybersecurity and payment systems in relation to risk analysis and modelling, regulation, compliance, and investment analysis

Programme overview

Main Subject

Finance

Degree

MSc

Study Level

Masters

Study Mode

On Campus

This course will enable you to build on your experience in finance. You’ll gain highly sought-after skills in big data management techniques, computing programming and analytics - essential for securing a leading role in the banking and financial sectors.

Advances in technology have created radical changes to financial operations, products and services. The curriculum draws on the University’s expertise in diverse areas of finance, including in regulation, risk analysis, modelling, and securities and investments within the framework of systems architecture, software development, and data management.

This course will enable you to:

  • Gain a good understanding of the fast-evolving nature of finance and the role of technology
  • Critically apply concepts of neural networks, data science algorithms, and advanced exploratory statistics to solve financial problems
  • Evaluate the latest software development methodologies
  • Critically analyse information collection techniques, analysis methods and manipulate and develop tools and technologies designed for capturing, processing, storing, transferring, analysing, and visualising data for financial applications
  • Develop a working knowledge of current technological development in finance, including in blockchain, distributed ledger technology, cybersecurity and payment systems in relation to risk analysis and modelling, regulation, compliance, and investment analysis

Admission Requirements

78+
6+
59+
169+
Relevant experience (Recognition of Prior Learning)

GCU's flexible entry policies exist to allow relevant work experience and prior learning to be considered towards standard entry or advanced entry into a course.

If you do not have the typical academic entry qualifications, but can demonstrate relevant work experience and/or credits from recognised professional bodies, you may be eligible to enter this course via the University's Recognition of Prior Learning (RPL) scheme.

1 Year
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance

Tuition fees

Domestic
10,000 GBP
International
19,800 GBP

Scholarships

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