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MSc Financial Technology (FinTech) and Business Analytics (with Project year)

MSc Financial Technology (FinTech) and Business Analytics (with Project year)

Different course options

Full time | Queen's Park Campus | 2 years | OCT

Study mode

Full time

Duration

2 years

Start date

OCT

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Financial Services Data Analysis Technology Business Modelling / Analysis Business & Finance

Course type

Taught

Course Summary

Course Summary

The MSc Financial Technology (FinTech) and Business Analytics programme is specifically crafted to advance the career prospects of professionals engaged in fintech, data analysis, and business management roles.

Successful completion of this programme will enrich your comprehension of financial technology, data-driven decision-making, Artificial Intelligence applications and coding skills in today's dynamic business landscape.Our programme emphasises real world learning. All our students from the FinTech & Business Analytics programme can access real-world financial and economic datasets powered by Alpha Vantage API.

Furthermore, you will be introduced to an array of research methodologies and analytical techniques. The concluding project module will nurture your critical thinking and investigative aptitude, manifesting in the form of a dissertation, a real-world case study, or a novel business development proposal—all tailored to foster your professional interests and align with your career aspirations.

There is an option to choose a Project/Placement year for this course, at an additional cost.

Careers Service

The University has an award-winning Careers and Employability service which provides a variety of employability-enhancing experiences; through the curriculum, through employer contact, tailored group sessions, individual information, advice and guidance.

Careers and Employability aims to deliver a service which is inclusive, impartial, welcoming, informed and tailored to your personal goals and aspirations, to enable you to develop as an individual and contribute to the business and community in which you will live and work.

We are here to help you plan your future, make the most of your time at University and to enhance your employability. We provide access to part-time jobs, extra-curricular employability-enhancing workshops and offer practical one-to-one help with career planning, including help with CVs, applications and mock interviews. We also deliver group sessions on career planning within each course and we have a wide range of extensive information covering graduate jobs and postgraduate study.

Modules

The aim of this module is to equip students with a comprehensive understanding of the role of Artificial Intelligence (AI) in the field of Finance and Analytics. By the end of the module, students should possess the knowledge and skills required to harness AI's potential in various financial applications, ranging from real-time market analysis and algorithmic trading to natural language processing (NLP), computer vision, and ethical considerations.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£11,155

International fees
Course fees for EU and international students

For this course (per year)

£17,400

Entry requirements

Students are required to have a 2:2 honours degree, or equivalent, in any discipline. Non-standard qualifications will be considered for entry on their own merit. Candidates should also meet the University's requirements for English.