Data Science with Foundation Year at Buckinghamshire New University - UCAS

Course summary

Do you want to learn how to work with data and use it to make decisions? Looking for a degree with opportunities to work on real-life scenarios, business challenges and career-relevant problems? BSc (Hons) Data Science teaches you the skills and knowledge to collect, store, analyse, and present data for different purposes and industries. It gives you the opportunity to learn from knowledgeable academics and industry experts. This is a four-year degree, including an initial Foundation Year. The Foundation Year will allow you to develop your academic study skills and build confidence in your abilities, identifying your own strengths and development needs for progression onto an undergraduate degree. Why study this subject? With the modern world increasingly reliant on data-driven decision-making a degree in data science open doors to diverse career opportunities. BSc (Hons) Data Science provides you with in-depth knowledge of statistics, programming languages, and data handling. Equipping you with skills that are in high demand makes you well-positioned to enter the competitive job market. Data Science is at the forefront of current technological advancements, offering a dynamic and intellectually stimulating career, where you can contribute your skills and make an impact. With great emphasis on developing your employability skills, Data Science provides you with the competence and confidence to pursue and succeed in these roles Why study at Buckinghamshire New University? At BNU, we always provide our students with opportunities to work on real-life scenarios, business challenges and work-relevant problems whenever we can which is why your experience as a student with us will be so unique. What facilities can I use? Our computing facilities are regularly upgraded so that you have access to the right hardware, software and technology, to succeed in your studies and to prepare you for employment. What will I study? The BSc(Hons) Data Science course teaches you how to work with data in a variety of different ways. You will learn how to collect, store, analyse, and present data for different purposes and industries. You will also learn how to use different tools and software to handle data. This degree will help you acquire a range of transferable skills that are essential for academic and professional success, such as curiosity, critical thinking, adaptability, and research skills. You will also learn how to solve problems and find insights from data. You will learn elements of data visualisation, storytelling and its ethical use, as well as data automation with AI. This will help you understand the role that data-based computing can have in a range of business and industry contexts. The course gives a balance of theory and practice, with opportunities to apply your knowledge to real or simulated projects and scenarios. You will focus on technical data analysis applications and services for industries that require expertise in data-focused computing sectors, using database development technologies. What are my career prospects? Employability is at the heart of this degree, with the curriculum strongly influenced by, and based upon, industry expectations of the skills, attributes and competencies needed for university graduates to pursue rewarding careers in different roles and sectors. With a data science degree, you could work across a broad range of areas, such as:

  • Ecommerce
  • Finance
  • Government
  • Healthcare
  • Information technology
  • Scientific research.
Typical job roles include:
  • Applications Architect
  • Data Architect
  • Data Engineer
  • Data Scientist
  • Enterprise Architect
  • Infrastructure Architect Machine
  • Learning Engineer
  • Machine Learning Scientist.
For more information, visit our website.


Year one Preparing for Success: Knowledge and Creativity Preparing for Success: Self Development and Responsibility Inquiry Based Learning Digital Media Computing Essentials Year two Computer Architectures Programming Concepts Database Design Web Development Networking Application Programming Data Warehousing Digital Technologies and Professional Practice Year three Web Applications Big Data Information Security Business Intelligence Data Presentation and Visualisation Statistical Methods Software Engineering Intro to Intelligent Systems (Team Project) Year four Project Data Science (optional) Database Development Knowledge-Based Systems in A.I. Cloud Computing (optional) Legal Aspects of IT Database Technologies (optional) Learning Machines and Intelligent Agents (optional) Network Security (optional)

Assessment method

A variety of approaches, and good use of the latest technology, will be blended together to engage students in learning in class and beyond, and to encourage full student participation. Lectures, tutorials, seminars and practical sessions will all be appropriately utilised, with a gradual progression from formal teaching towards more student-centred and independent learning, through the levels of the programme. Your course will be fully supported by the University’s Virtual Learning Environment (VLE), a digitally based platform that offers many features and resources to support and enhance your learning experience. Different strategies will be adopted to provide real-world contextualisation and engagement, for example, guest lecturers, live briefs, work-related projects and external visits. Work and activities within the modules, including the formal assessments, will have a strong focus on real world scenarios. There'll be a variety of assessments across your course, in part to give you exposure to the variety of situations you'll face in your professional life, but also to direct and focus your learning of many interesting, and career-relevant, topics. Assessments are then designed to help you learn and apply relevant knowledge, concepts and skills whilst developing those competencies and characteristics needed to be successful in education and employment. You'll complete different types of coursework like written assignments, practical exercises, presentations and other individual or group tasks alongside some tests or exams. The Project in your final year represents a major piece of independent research focused on some significant problem, which can be linked to some current business challenge or an idea that will support your own career aspirations. Formal and informal feedback on your work will be regularly provided to support and direct your learning and development.. Course assignments reflect real-life problems because we believe that’s the best way to learn – and it’s more fun! We also encourage you to gain work experience whilst studying and actively look for clients for your project work, which provide you with the opportunity to develop your skills in a work-base setting.

How to apply

Application codes

Course code:
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Buckinghamshire New University
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Points of entry

The following entry points are available for this course:

  • Foundation

International applicants

For information about applying to Buckinghamshire New University as an International applicant, please visit

Entry requirements

Qualification requirements

Applicants who do not meet the minimum requirements for the 3-year undergraduate programme, or those who do not feel fully prepared for a Level 4 course, will be considered for the 4-year programme including a Foundation Year.

Please click the following link to find out more about qualification requirements for this course

Fees and funding

Tuition fees

England £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1
Channel Islands £9250 Year 1
Republic of Ireland £9250 Year 1
EU £15000* Year 1
International £15000* Year 1

*This is a provisional fee and subject to change.

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Most courses will involve some additional costs that are not covered by your fees. You could benefit from financial support through a bursary or scholarship during your time as a student. For more details visit our financial support, bursaries and scholarships section.

Sponsorship information

Buckinghamshire New University offers a range of bursaries and scholarships. For more information, please visit

Data Science with Foundation Year at Buckinghamshire New University - UCAS