Data Science

Data Science graduates are in growing demand across a wide range of sectors, including health, finance, business, public services, maritime, marine and environmental science. This degree provides graduates with industry-relevant knowledge and practical skills in data science. You will gain competence across a broad range of key areas, including programming, data curation and processing, data privacy and ethics, data management, visualisation, analytics, and modelling.

Hands-on learning
Hands-on, industry-linked learning from day one – with practical modules, expert support, and a final showcase project aligned to global topics like AI and renewables.

Strong industry connections
Employers shape the curriculum, attend showcases, offer placements and guide career prep. Past placements include Apple, Red Bull Racing and Schneider Electric.

Cutting-edge facilities
Access specialist computer laboratories tailored for data science, software engineering and AI experimentation and high-performing computing resources.

This course is for you if...

• you're interested in using data to solve real-world problems

• you like to learn through experience, using cutting-edge tools in programming and big data

• you have an analytical, problem-solving mindset

• you are keen to boost your career prospects.

Year 1
Your first year gives you the mathematical and computational building blocks of data science. We’ll teach you calculus, linear algebra, and numerical techniques relevant to data science, while a module in fundamental data science introduces you to tools used to make sense of data. You’ll learn programming, software engineering, and computational algorithms. By the end of the year, you’ll have not only a strong foundation but also the confidence to start applying your skills to real data science problems.

Year 2
In your second year, you’ll begin to see how mathematics, statistics, and computing come together in practice. You’ll study data modelling, information management, and operational research, while also learning professional software development practices. We'll support you in a module that allows you to explore how data science is evolving and to think about where your own interests might take you. By the end of the year, you’ll be equipped with a broad toolkit that also allows specialisation.

Optional placement year
You can choose to take a paid placement year. This is your opportunity to apply your knowledge in the data science industry – whether that’s analysing health data, supporting government decision-making, or working with big data. Placement students return with new skills, increased confidence, and even graduate job offers.

Final year
Your final year completes the skill set that you need to become a highly sought after data scientist. You’ll study topics such as machine learning, big data analytics, parallel computing, health data science, optimisation, and financial modelling. You’ll work on a project supervised by an expert, that shows how these methods can be applied to industrial and societal challenges. This gives you the chance to dive deeper into a topic of your choice, contributing to a broad portfolio of work that demonstrates your expertise, potential and ambition.

Modules are subject to change depending on year of entry and up to date information can be found on our website.

For up to date details, please refer to our website or contact the institution directly.

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

• Statistical Society, Royal

To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:

• Course does not award QTS