This three-year degree gives you the tools to understand, manage, and make sense of the vast amounts of data shaping today’s world. You’ll develop strong skills in programming, statistical modelling, and machine learning, and learn how to transform raw data into meaningful insights. It’s a great fit if you enjoy solving problems, are curious about artificial intelligence, and want to apply analytical techniques to real issues in fields like finance, healthcare, business, and beyond.
Curriculum Structure
Year 1
Your first year sets the foundation. You’ll study Mathematics for Data Science, where topics like calculus and linear algebra are brought to life through Python programming. Alongside this, Programming I introduces the fundamentals of coding, while Programming II takes you deeper into databases, query languages, and system design.
Year 2
In your second year, you’ll start applying your knowledge to real-world situations. Predictive and Explanatory Modelling in Context focuses on regression and data analysis, while Optimisation for Data Analysis shows you how algorithms can be used to solve complex problems. You’ll also work in teams on genuine data challenges in Preparing for Professional Practice, and explore the core principles of artificial intelligence in a hands-on coding environment.
Year 3
Your final year is about specialisation and independence. Modules such as Machine Learning and Deep Learning introduce advanced techniques including neural networks and support vector machines, while Bayesian Machine Learning covers modern approaches like variational Bayes. The highlight is your capstone Data Science Project, where you design, carry out, and present your own piece of data-driven research. You can also choose optional modules, such as Data Mining and Knowledge Discovery or Natural Language Processing, to deepen your expertise in areas that excite you most.
Focus Areas
Programming & Python
Mathematical and statistical modelling
Machine learning & artificial intelligence
Bayesian inference
Real-world data projects
Learning Outcomes
By the end of the degree, you’ll have:
Strong quantitative reasoning skills
Advanced coding proficiency
Experience in statistical modelling and optimisation
A practical understanding of AI methods
Confidence to plan and deliver independent projects
Professional Alignment
Although the programme isn’t formally accredited by a professional body, it’s designed in line with the national Quality Assurance Agency (QAA) benchmarks for Computing, Mathematics, Statistics, and Operational Research.
Reputation and Employability
While subject-specific league table rankings aren’t published for Data Science at Kent, the degree is taught by internationally recognised experts in statistics, mathematics, computing, and machine learning. This academic strength, combined with the practical nature of the course, ensures you’ll graduate with skills that employers across multiple industries are looking for.
Here’s how the BSc (Hons) Data Science at the University of Kent makes learning truly hands-on—so you’re not just studying theory, but applying it from day one with real tools, team projects, and strong academic support.
From the very start, you’ll build practical skills in Python, R, and AI programming tools, applying mathematics, machine learning, and optimisation techniques. These aren’t abstract exercises—you’ll use them in coding classes, data-mining activities, and collaborative challenges that feel like real workplace scenarios. As you progress, you’ll take on bigger projects and professional practice experiences that boost your confidence and prepare you for life after graduation.
Here’s what this looks like in practice:
Hands-on software tools
Across modules such as Programming I & II, Fundamentals of AI, and Machine Learning & Deep Learning, you’ll actively use Python, R, and an AI programming tool—just like a professional data scientist would.
Group project-based modules
Preparing for Professional Practice: You’ll work in small teams on real-world, open-ended data challenges using genuine datasets. Along the way, you’ll present your findings through reports, posters, blogs, and presentations—mirroring the way professionals share insights.
Data Science Project (final year): This is your chance to design and deliver your own project idea, guided by expert staff. You’ll produce a detailed report and presentation, showing off your skills to both the University community and potential employers.
Optional advanced modules
If you want to go deeper, modules such as Data Mining & Knowledge Discovery let you explore algorithms and full-scale knowledge-discovery processes, applying them to real datasets.
Year in Industry (optional)
You can choose to spend a year working in industry between your second and final year. This paid placement gives you invaluable experience, helps you build professional connections, and can even open doors to future job offers. Best of all, it formally counts towards your degree.
You’ll graduate ready to step confidently into exciting roles such as Data Analyst, Data Scientist, or Business Intelligence Specialist. With your skills, you’ll be in demand across sectors like finance, healthcare, and technology—anywhere decisions are driven by data. At Kent, your degree doesn’t just build your technical and analytical expertise—it sets you up for a rewarding and meaningful career.
Progression & Future Opportunities
University services that support your career success
Kent’s Careers and Employability Service is recognised among the UK’s top 50 for work experience and placements in the 2024–25 Rate My Placement Awards. This means you’ll benefit from excellent guidance in securing internships, placements, and career opportunities.
Industry Placements
You’ll also have the chance to spend a year in industry, earning a competitive salary—typically over £17,000 outside London, and more than £30,000 if you’re based in London. Many students even secure a graduate job offer from the same employer.
Employment stats and salary figures
Graduates from related fields at Kent—such as data, maths, and computer science—earn an average salary of £30,000 to £31,500 just fifteen months after graduating. Over the long term, a Kent degree can increase your lifetime earnings by more than £300,000 (based on Universities UK data). And with an undergraduate career outcome rate of around 95%, the vast majority of Kent students are in work or further study soon after graduation.
University–industry partnerships
While the course doesn’t list individual employers, Kent’s dedicated industrial placement team collaborates with a wide range of organisations. This strong support network is reflected in the university’s excellent ranking for placement opportunities.
Long-term accreditation value
As a research-led university, Kent brings academic credibility that lasts well beyond graduation. In the latest national assessment (REF 2021), Kent ranked 38th in the UK by GPA and 32nd for research power—evidence of the strength behind your qualification.
Graduation outcomes
By the time you finish, you’ll have solid foundations in programming, modelling, design, and machine learning. Just as importantly, you’ll develop transferable skills like critical thinking, communication, and teamwork. Through Kent Extra, you can also enrich your profile with opportunities such as volunteering, language learning, and other experiences that make you stand out in the job market.
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