Work placements

You will have the opportunity to go on a work placement for up to 12 months, starting during the summer of your second year. You can apply for the placement route by selecting the two-year course length.

Live projects

You will examine real-world case studies and data, as well as work on live or simulated industry projects. You will apply the skills and knowledge you gained in your technical and business modules to complex projects in the context of the financial industries.

Networking opportunities

Many of the course modules include real-world work scenarios and case studies, thanks to the teaching team's research and industry connections. After completing the course, you will be able to apply your skills in a variety of industries, including pharmaceuticals, finance, marketing, retail, and the public sector.

Jobs in data management and analytics are critical for companies like Amazon, Facebook, the UK Ministry of Defence, HSBC, and GSK to better understand their customers and make informed business decisions. This is why IBM ranked these jobs as among the most difficult for employers to fill, owing to a scarcity of skilled data scientists. The course will provide you with the necessary industry skills to help you stand out in the job market.

All our courses are designed around a set of key principles based on engaging you with the world, collaborating with others, challenging you to think in new ways, and providing you with a supportive environment in which you can thrive.

This course explores the application of data analytics in financial industries. You’ll work with contemporary platforms including cutting-edge SAS analytics software and Bloomberg financial terminals.

In the business part of the course, you will examine and scrutinise the fundamental concepts of banking, finance and investment.

You will also learn technical skills associated with data analytics and apply these skills in the context of financial industries.

You learn through

• teaching sessions
• learning materials
• recommended readings
• problem-based learning
• individual and group projects
• contemporary software platforms

This course is delivered face-to-face over three semesters - teaching is scheduled based on the length of your course and the academic calendar.

This course prepares you for a career in

• statistical analysis and machine learning techniques
• database and programming technologies
• statistical theory
• marketing and insight
• credit risk
• data and technology
• digital analytics
• data science

Previous graduates of this course have gone on to work for the following companies

•  Bank of England
• OCF
• HSBC
• INC Research
• Axis Bank

Some of the associated careers in these fields are

• customer insight analyst
• credit risk analyst
• fraud analyst
• forensic analyst
• big data architect
• business intelligence developer
• digital analyst
• data scientist

Undergraduate degree academic qualification with classification of 2:2 or equivalent in Computing, Computer Science, Maths or Statistics, Data Analytics, Data Science or other relevant areas, or appropriate work experience.

Applicants who have acquired significant knowledge and skills in data analytics, database design and development using industry standard platforms and development environments or significant experience in financial technologies would be considered for admission.

If you are an International or non-UK European student, you need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent.

Important notice:

The structure of this course is periodically reviewed and enhanced to provide the best possible learning experience for our students and ensure ongoing compliance with any professional, statutory and regulatory body standards. Module structure, content, delivery and assessment may change, but we expect the focus of the course and the learning outcomes to remain as described above. Following any changes, updated module information will be published on this page.