22Jun
PostgraduateCourse summary
You explore topics including fundamentals of software for digital innovation, big data and business intelligence, contemporary financial technology, machine learning, blockchain and cryptocurrency. You develop theoretical, technical and critical thinking skills in applying disruptive innovative technologies to financial services. The Advanced Practice route enhances your qualification by adding a vocational or research-based internship to the one-year master’s programme. A vocational internship is a great way to gain work experience and give your CV a competitive edge. A research internship provides you with the opportunity to develop your analytical, research and academic skills by working alongside our artificial intelligence and machine learning research groups. We guarantee a research internship, but cannot guarantee a vocational internship. However we provide you with practical support and advice on how to find and secure your own vocational internship position.
Entry requirements
Normally a 2.2 honours degree, or equivalent, in any subject area. Relevant experience may also be considered. You learn computational methods, data analytics, mathematics for business and basic programming, therefore a first-degree subject with significant analytical or technical elements is ideal (business, management, finance, engineering, life/physical science, computing, IT, computer games, animation, mathematics, technology). For other subjects, you will need to evidence an aptitude for quickly developing basic analytical skills, such as strong GCSEs in maths and science.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
Teesside University, Middlesbrough
Teesside University
Middlesbrough
Tees Valley
TS1 3BX