Digital Finance and Data Analytics
Entry requirements
- You will need an undergraduate degree equivalent to a UK undergraduate honours degree (2.2 or above) containing some evidence of quantitative ability.
- All applicants will be required to demonstrate a commitment to the subject they wish to study and should demonstrate how their chosen programme of study will benefit them in their future career.
- One academic reference is required.
We welcome applications from students with non-standard qualifications and learning backgrounds and work experience. We consider credit transfer, vocational and professional qualifications, and any work or life experience you may have.
You can view our Recognition of Prior Learning and Credit Transfer Policy which outlines the process and options available, such as recognising experiential learning and credit transfer.
Months of entry
September
Course content
The finance landscape is rapidly transforming with a focus on digital, code-driven, and data-centric approaches, emphasising technologies like novel payment systems, distributed ledger tech, blockchains, digital currencies, AI, metaverse, and smart banking. Our MSc in Digital Finance and Data Analytics covers traditional financial markets, international financial institutions, AI, machine learning, blockchains, cryptocurrencies, and digital assets. The program delves into financial regulation, Fintech sector growth, and enhances skills in coding, big data, and econometrics. The course culminates in a hands-on consultancy project, allowing application of acquired knowledge to real-world financial data.
Finally, at the end of the course, you'll complete a hands-on consultancy project, giving you a fantastic opportunity to use the theories and knowledge you've gained to produce a meaningful piece of work.
What you’ll gain from this degree?
- Learn about technology and data-driven financial products and services together with advanced methods from the fields of computer science, mathematics, statistics, econometrics and machine learning.
- Be highly competitive for various roles in digital finance and FinTech that require a specific set of skills.
- Acquire in-depth knowledge in Digital Finance and Data Analytics specifically rather than only touching on a broader set of related topics.
- Gain comprehensive knowledge of basic as well as sophisticated mathematical and statistical tools for big data applications.
Nottingham Business School is proud to have achieved the prestigious triple crown of international accreditations with EQUIS, AACSB and AMBA. This is the highest international benchmark of excellence for business schools.
Information for international students
If you need help achieving the academic entry requirements, we offer a Pre-Masters course for this degree. The course is offered through our partner Nottingham Trent International College (NTIC) based on our City Campus.
English language requirements
View our English language requirements for all courses, including alternative English language tests and country qualifications accepted by the University.
If you need help achieving the language requirements, we offer a Pre-Sessional English for Academic Purposes course on our City Campus which is an intensive preparation course for academic study at NTU.
Fees and funding
Please view the course page for the latest course fees. Nottingham Trent University offer a number of competitive scholarships, worth up to 50% of your tuition fees. Find out more about fees and funding.
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Nottingham Business School
- enquiries@ntu.ac.uk
- Phone
- +44 (0)115 848 2999