BSc (Hons) Data Science with a Year in Industry

4 Years On Campus Bachelors Program

University of Kent

Program Overview

The BSc (Hons) Data Science with a Year in Industry at Kent is designed for students who want more than theory—it’s a degree that blends programming, statistics, and artificial intelligence with a full year of paid work experience. By the time you graduate, you’ll have both the academic knowledge and the industry know-how to step confidently into the workplace. If you enjoy problem-solving, coding, and making sense of data in real-world contexts, this is a great fit.


Curriculum Structure

Year 1
Your first year is all about building the foundations. You’ll cover Mathematics for Data Science, Programming I & II, and Internet Technologies. Alongside this, you’ll develop statistical skills through Essential Principles of Probability and Statistics and get hands-on with coding in Applications and Practice with R and Python.

Year 2
In your second year, you’ll move into more advanced territory with modules like Algorithms, Database Systems, and Predictive and Explanatory Modelling in Context. You’ll also look at Optimisation for Data Analysis, get career-ready through Preparing for Professional Practice, and explore Fundamentals of Artificial Intelligence.

Year in Industry
After your second year, you’ll step into a full-time industrial placement. This is your chance to earn a salary, apply what you’ve learned, and build an impressive CV. Many students land placements at big names like IBM, Intel, Disney, or Morgan Stanley, with opportunities across the UK and overseas. For some, the placement even leads to a graduate job offer.

Final Year (Year 3 / Stage 3)
Your last year focuses on advanced topics and independent work. Core modules include Natural Computation, Machine Learning and Deep Learning, and Bayesian Machine Learning. You’ll also complete a Data Science Project to demonstrate your skills to future employers. Plus, you can choose specialist options such as Data Mining and Knowledge Discovery or Natural Language Processing.


Focus Areas

  • Programming

  • Statistical Modelling

  • Machine Learning

  • Artificial Intelligence

  • Data Visualisation

  • Real-world application via the Year in Industry


Learning Outcomes

By graduation, you’ll be able to:

  • Analyse and interpret complex data sets.

  • Build and apply algorithms, including deep learning and Bayesian methods.

  • Work confidently with modern tools like R and Python.

  • Lead independent projects from design to delivery.

  • Transition smoothly into professional roles in data-driven industries.


Professional Alignment

While not formally accredited, the course has been designed around the needs of today’s employers. The compulsory year in industry ensures that graduates are workplace-ready and highly attractive to recruiters.


Reputation & Employability

Student feedback speaks volumes. In the 2023–24 National Student Survey:

  • 91% of students praised the quality of teaching.

  • 100% felt explanations were clear.

  • 98% found the course intellectually stimulating.

Support is another highlight, with over 90% satisfaction across academic help, organisation, and learning resources.

Graduates from Kent go on to impressive outcomes—those in related fields like Computer Science and Mathematics report average earnings of around £31,500 just 15 months after graduation, rising to £44,500 within five years.

Experiential Learning (Research, Projects, Internships etc.)

At Kent, you’ll get more than just theory—you’ll gain real, hands-on experience with the tools and techniques that data scientists actually use. From your very first year, you’ll be working with Python, calculus, and linear algebra through a mix of lectures, problem-solving classes, and coding tasks that make the concepts come alive. You’ll also take part in the Preparing for Professional Practice module, which feels like a real consultancy project: working in teams, handling genuine industry datasets, and presenting your findings in the same ways professionals do—through reports, presentations, posters, and blog posts.


Software & Programming Tools

  • You’ll work extensively with PROPHET, R, and Python—three of the most widely used tools in modern data science.

  • From the start, you’ll apply Python directly to solve real mathematical challenges in calculus, algebra, and optimisation.


Group Projects & Real-World Data Sets

  • In Preparing for Professional Practice, you’ll collaborate in teams to take on authentic data problems—very similar to what you’d face in industry.

  • Along the way, you’ll learn how to present your findings across different formats, whether that’s a report, a blog post, a presentation, or a poster.


Year in Industry Placement

  • Between your second and final year, you’ll have the chance to spend a full year in industry. It’s a paid placement, giving you both workplace experience and a salary.

  • Previous students have landed placements at major names like IBM, Intel, Disney, and Morgan Stanley.

  • Kent’s dedicated Placements Team will support you throughout the process, offering workshops, events, and one-to-one guidance to help you secure the right role and succeed in it.


Final-Year Research Project

  • In your final year, you’ll design and run your own Data Science project, supervised by an expert in the field.

  • You’ll pitch your idea, receive feedback, and deliver a complete report—giving you a powerful piece of evidence to showcase your analytical and storytelling skills to future employers.


Interdisciplinary Teaching Teams

  • You’ll be taught by both the School of Computing and the School of Mathematics, Statistics and Actuarial Science, ensuring you gain a balanced mix of expertise in statistics, algorithms, machine learning, and AI.


Careers & Ongoing Support

  • Career support is built into your time at Kent. Placement advisers are on hand to help you find opportunities and guide you through applications.

  • During your placement, you won’t be left on your own—the university checks in every three months and provides ongoing support by email to make sure everything runs smoothly.

Progression & Future Opportunities

Long-term career value
A degree from Kent is a real investment in your future. On average, graduates can expect to earn over £300,000 more across their lifetime compared to non-graduates. With this programme, you’ll be prepared for high-demand roles such as Data Analyst, Data Scientist, Machine Learning Engineer, or Business Intelligence Specialist.

Support to launch your career
You won’t be on your own when it comes to planning your next steps. Kent’s Careers and Employability Service runs regular career fairs, CV and application workshops, mock interviews, and networking events. You’ll also benefit from the Kent Extra programme, which gives you the chance to strengthen your CV through volunteering, learning a new language, or developing soft skills that employers really value.

Graduate outcomes and earning potential
Although data for this programme specifically isn’t separate yet, we can look at results from related fields like Computer Science and Mathematics as a strong guide. Graduates typically earn around £31,500 just 15 months after finishing their degree, with that figure rising to around £44,500 after five years. Given the technical focus of this course, you’ll be well positioned to achieve salaries within the higher end of these ranges.

Industry connections and placements
One of the highlights of this degree is the Year in Industry option. You’ll spend a full year working in a professional setting, gaining hands-on experience and earning a salary at the same time. Many students even secure job offers from their placement companies after graduation. Previous placements have been with major global organisations such as IBM, Intel, Disney, and Morgan Stanley, with some students heading abroad to exciting destinations like Amsterdam, Hong Kong, and the US.

Recognition and quality assurance
This programme brings together the strengths of Kent’s School of Computing and School of Mathematics, Statistics and Actuarial Science, giving you a solid academic foundation as well as applied, real-world skills. Kent’s 2023 Teaching Excellence Framework (TEF) rating highlights the high standard of teaching you’ll receive, with that recognition lasting for four years. This strengthens the reputation of your degree with both employers and further study providers.

Where you’ll end up
By the time you graduate, you’ll leave with a powerful mix of technical knowledge and transferable skills—programming, data modelling, analytical thinking, communication, teamwork, and problem-solving. Combined with the practical experience from your placement year, you’ll be well prepared to make an impact in the workplace from day one.

Program Key Stats

£19,300
£ 29
Sept Intake : 14th Jan


No
Yes

Eligibility Criteria

BBB
N/A
34
65

N/A
N/A
6.0
80

Additional Information & Requirements

Career Options

  • Data analyst
  • Data scientist
  • Machine learning engineer
  • Business intelligence analyst
  • AI researcher
  • Data engineer
  • Quantitative analyst
  • Risk analyst
  • Statistician
  • Operations analyst
  • Research scientist
  • Software developer
  • Database administrator
  • Data consultant
  • Financial analyst
  • Market researcher
  • Policy analyst
  • Healthcare data analyst
  • Cybersecurity analyst
  • Product analyst
  • Big data specialist
  • Cloud data engineer
  • Customer insights analyst
  • Academic researcher
  • Government data specialist

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