Data Science BSc

In this degree, you won’t just sit and learn theory—you’ll put it into practice. From day one, you’ll be building real programming and analytical skills, working hands-on with tools like Python and IBM SPSS. Alongside the technical side, you’ll also be encouraged to think about the ethical, sustainable, and social impact of data. What makes it even more engaging is that you’ll be taught by researchers and industry specialists who bring the subject to life. And you’ll study in The Wave—a brand-new, cutting-edge hub packed with computing suites, broadcast and editing studios, and iLab usability testing facilities—designed to spark collaboration and innovation.

Here’s what experiential learning looks like for you on the BSc Data Science at Sheffield:

Hands-on software & tools
You’ll dive straight into programming with Python in modules like Practical Programming for Data Science 1 & 2, and you’ll use IBM SPSS in Statistics for Insight to work with real statistical data.

Group work & problem-based learning
From your very first year, you’ll experience team-based challenges. Modules such as Practical Programming for Data Science 1 use problem-based learning, where you and your peers tackle real problems together.

Ethics-driven labs
In your second year, the Responsible Data Science Lab 1 (20 credits) gets you thinking critically about how data impacts people and society. Later, in your final year, Responsible Data Science Lab 2 (60 credits) takes this even further, combining advanced technical projects with a strong ethical focus.

Individual project & portfolio
In your final year, you’ll put your skills to the test with an independent project on a topic that excites you, guided by a supervisor. At the same time, you’ll be building your Data Science Portfolio (20 credits), a showcase of your work that you can take straight to employers.

Advanced modules with real context
Modules like AI and Machine Learning for Advanced Analytics, Building AI Applications, and Data Science and AI in Practice give you the chance to apply what you’ve learned to cutting-edge technologies and real-world contexts.

Top-tier facilities in The Wave
Your learning takes place in an inspiring environment: state-of-the-art lecture theatres, specialized computing labs, usability testing spaces, and even broadcast and editing studios—all under one roof in The Wave.

Library support
To back up your studies, you’ll have access to four libraries across the university. These include the Information Commons, which is open 24/7 with 550 PCs and plenty of study space, and The Diamond’s 24-hour reference collections, perfect for late-night revision.

Research-led teaching
Everything you’re taught is shaped by experts who are actively researching and working in the field. That means your learning is always fresh, relevant, and connected to real industry practice.

Graduates of this programme don’t just leave with technical skills—they emerge as thoughtful, socially aware data professionals who can take complex models and turn them into meaningful, real-world solutions. Whether you see yourself as a Data Scientist, Data Analyst, Data Translator, or even an Ethical AI Specialist, this degree is designed to prepare you for roles that matter—to both industry and society.

Progression & Future Opportunities

University Support Services to Boost Employment
You’ll have access to the Social Sciences Employability Hub, a space dedicated to helping you get career-ready. From drop-in sessions at the Cornerstone Employability and Placements Hub, to one-to-one guidance with advisors (like Tracy, who specialises in placements), the support is always there. You’ll also be able to attend employer-led events, and use Career Connect to discover internships and graduate jobs.

Real-world Experience & Placement Opportunities
Between your second and third year, you can choose to take an optional placement year. These placements usually last around 38 weeks, are often paid, and give you hands-on experience in the workplace. The university helps you find opportunities through Career Connect and its employability hubs, while still giving you the independence to source placements that fit your ambitions.

Employment Stats & Salary Figures
While there aren’t specific employment or salary figures published for this programme, the University highlights that graduates go on to achieve excellent outcomes. Employers value not just your technical ability, but also the broader perspective you’ll bring as a graduate of this course.

University–Industry Partnerships
This degree is built with strong input from industry experts. From case studies and projects shaped by real-world challenges, to annual Industry Day events, your learning is always connected to the skills and insights that employers need.

Long-Term Value of Your Degree
Although the course isn’t linked to a single professional accreditation, its strength lies in something equally valuable: an ethical, future-focused foundation. With principles of Fairness, Accountability, Transparency, Ethics, and Security woven into your studies, you’ll graduate with skills that resonate with both employers and wider society.

Graduation Outcomes
When you finish, you’ll be more than just a data expert—you’ll be a Data Translator. This means you’ll be able to combine advanced data skills with ethical awareness and organisational insight. Whether your next step is in sustainable development, policy-making, business, or another field altogether, you’ll be ready to make a real impact.