BSc (Hons) Data Science

When you join the BSc (Hons) Data Science at Buckinghamshire New University, you won’t just sit in lectures memorising theories — you’ll actually practice what data scientists do. From the start, you’ll be learning hands-on, using real tools, solving real problems, and even working with businesses through projects and placements. By the time you graduate, you’ll already have experience that feels like the real world of data science.

Here’s how experiential learning is built into your course:

• Computation & analytics labs – You’ll spend time in modern computer labs with up-to-date hardware and software. Here you’ll run data pipelines, build visualisations, and test models, using the same tools professionals use.

• Real project work & assessments – Instead of only sitting exams, many of your modules are assessed through coursework, practical tasks, and live problem-solving. Sometimes, these projects are based on actual business or industry challenges.

• Final year independent project – You’ll get to design and deliver a major project in data science, either linked to a company challenge or something you’re passionate about. This becomes a showcase of your skills to employers.

• Internships and placements – The university supports you in finding placements and internships, so you can gain valuable work experience while you study.

• Industry links & live scenarios – Throughout the course, you’ll be tackling case studies, business problems, and real-world scenarios so your learning always feels relevant.

• Specialised modules & pathways – As you progress, you can choose to dive deeper into areas like AI, cloud computing, network security, or database development — whichever fits your career goals.

• Professional software & tools – You’ll work with programming languages such as Python and R, alongside database systems, data visualisation platforms, and even cloud-based tools. This means you graduate already confident with the technologies employers want.

• Library and academic support – On top of this, you’ll have access to BNU’s libraries, study resources, and academic support to guide you through your research and projects.

Future Progression & Opportunities

When you graduate, you’ll be well-prepared to step into roles where data makes a real impact on business and society. Many graduates move into careers such as Data Scientist, Data Engineer, Business Intelligence Analyst, or Machine Learning Engineer. From there, you can grow into leadership, consulting, or even highly specialised research positions.

Here’s how the university supports your journey and what you can expect after your degree:

University services & support

• The Careers & Enterprise team offers one-to-one support with CV writing, interview preparation, internship placements, and networking opportunities.

• Dedicated career advisors help you strengthen your professional profile and connect directly with employers in data and technology.

• Regular workshops, career fairs, and alumni networking events give you valuable exposure to industry contacts.

• You’ll also benefit from modern labs and computing facilities, equipped with professional tools like Python, R, cloud platforms, and data visualisation software.

Employment stats & salary figures

• Around 75% of computing graduates are working or in further study within 15 months of finishing their degree.

• The average salary 15 months after graduation is about £25,000 (with most earning between £22,500–£29,000).

• Over time, salaries typically rise to around £23,000 after 3 years, and £27,500 after 5 years for those in computing-related roles.

University–industry partnerships & applied focus

• The course is designed with a real-world focus, so you’ll work on projects that mirror the challenges faced by employers.

• The university has active partnerships with organisations such as Thames Valley Police, the NHS, Buckinghamshire Council, and other local employers.

• It was also an early adopter of degree apprenticeships, showing a strong track record of connecting education with workplace training in technology.

Long-term accreditation & professional value

• Your degree is academically accredited and aligned with industry standards in computing, data science, and analytics.

• The curriculum is applied and industry-relevant, meaning your skills will stay valuable in finance, healthcare, retail, technology, and government sectors.

• With a focus on ethics, legal frameworks, and real datasets, you’ll graduate with the credibility employers look for in today’s data professionals.

Graduation outcomes & job alignment

• About 60% of graduates are in Information Technology roles within 15 months, while others go into science, engineering, business, or public service positions.

• Common job titles for graduates include Applications Architect, Data Architect, Data Engineer, Data Scientist, and Machine Learning Scientist.

• Many alumni highlight that they are actively using the knowledge and skills they gained during their degree in their current roles.

Further Academic Progression

After completing your BSc (Hons) in Data Science, you’ll also have strong opportunities to continue your studies:

• You could go on to a Master’s degree in Data Science, Artificial Intelligence, Machine Learning, Big Data Analytics, or Computational Statistics. The university itself offers an MSc in Data Science designed to build directly on your undergraduate foundation.

• For those interested in research, there’s the option of pursuing an MPhil or PhD in areas like deep learning, computational modelling, or data ethics.

• You may also consider professional certifications in emerging technologies (cloud, AI, data security), or even bridging programmes in business analytics and policy, giving you an edge in leadership and cross-disciplinary roles.

✨ In short: This degree doesn’t just prepare you for your first job — it sets you up for a career with long-term growth, impact, and flexibility.