Data Science BSc

Course description

Taught by active researchers and developed with industry experts, prepare for a career where you can use data-driven solutions to make a positive impact on society.

Most data science courses are based in computer science or engineering departments - our degree is based in social sciences. That’s because we think it’s important to teach you not just the programming and analysis tools, but also how to use data-driven solutions responsibly and to the benefit of society.

Data science underpins all kinds of decision-making, so you could be studying data from a sports team to improve performance, using real-world data as part of the solution to climate change, or analysing business expenditure.

With opportunities to study abroad, work-based placements and developing your personal portfolio, you’ll be in a strong position for the future.

With Access Sheffield, you could qualify for additional consideration or an alternative offer - find out if you're eligible.

• Standard offer
• Access Sheffield offer

English language requirements |

You must demonstrate that your English is good enough for you to successfully complete your course. For this course, we require: GCSE English Language at grade 4/C; IELTS grade of 6.5 with a minimum of 6.0 in each component; or an alternative acceptable English language qualification

If you have any questions about entry requirements, please contact the school/department.

Equivalent English language qualifications

Visa and immigration requirements

Other qualifications | UK and EU/international

Graduate careers

As an evolving discipline, data science skills and knowledge are in strong demand with employers across a number of sectors.

We've worked closely with employers and industry partners to develop our curriculum to provide you with the relevant skills and experience to develop your future career. Our course is designed to equip students with the capabilities to manage the complexities of data in organisations and to integrate the work of data scientists with those in more managerial or policy-making roles.  

All students have the opportunity to take either a placement year or a year abroad in between Levels 2 and 3.  Students can also opt for a work experience module in Level 3 to spend time developing real-world skills with a local partner organisation or business.

Our annual Data Science Industry Day gives you an opportunity to meet employers and to link your learning at university with real-life contexts and challenges.

Some examples of the areas you may choose to explore include:

• Sustainability and global development
• NGOs, charities and third sector organisations
• Media and social media
• Finance and business
• Retail and ecommerce
• Public sector, transport and health
• Sports analysis
• Academia and research