FinTech
Entry requirements
An honours degree 2:2 or above in any discipline or appropriate work experience in the financial sector together with relevant professional qualifications.
Months of entry
January, March, May, July, September, November
Course content
This course is designed for non-specialists to explore the evolving relationships among corporations, financial markets and investors. Course content combines financial theory, AI approaches and hands-on learning with tools like Python and MATLAB coding programmes to prepare you for a dynamic financial landscape.
Key course content includes:
- Artificial intelligence in fintech: AI applications in fintech
- Governance and sustainability: the financial and ethical challenges facing modern corporations
- Econometric modelling: statistical techniques of estimation, hypothesis testing and modelling
- Big data analytics using Python: understand and apply various knowledge representation approaches that are available for organising different data types, including structured data (fundamental/or analytical data) vs unstructured data (such as financial news and media news).
Why you should study this course
This course is for you if you want to:
- access a modern Bloomberg Trading Floor, which promotes dynamic learning through real-time data streaming so you can learn the skills needed to work in the finance industry
- develop your industry-relevant skills in Python, MATLAB and LSEG Workspace
- obtain Bloomberg Market Concept (BMC) and Environmental Social Governance (ESG) certifications at no additional cost
- learn from professionals with industry and research experience and interact with expert guest practitioners and scholars of finance (opportunities not guaranteed)
- access career coaching and mentoring to help your career planning and profile development
- apply best practices for AI tools and entrepreneurship in fintech, banking and corporations, and enhance your understanding of privacy, ethics and the fintech regulatory landscape.
Please use the official Coventry University website as your main source of information as our courses are subject to change throughout the year.
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Enquiries
- ukadmissions@coventry.ac.uk
- Phone
- +44 (0)24 7765 6565