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Data scientists are in high demand because they can interrogate data and use analytics to find patterns, trends and relationships in data sets. This information can then be used in everything from predicting consumer behaviour to accelerating the development of promising new drugs.
With our practical BSc (Hons) Data Science degree, we will help prepare you for a successful career. You will benefit from our industry links, well-equipped computer labs, smaller class sizes and experienced and supportive staff.
We understand that when it comes to deciding where you’d like to study, there are a lot of things to consider. Come along to our Open Day and discover why BNU could be the place for you. You can find out more about your course, meet the course team, and get all your questions answered.
For everything you need to know about applying, check out our Application Guide. You can find useful information for each stage of your application journey – from before you even apply to what to do if you receive an offer, and everything in between.
Why study this subject?
A degree in Data Science can help prepare you for a wide range of career options.
Data science can be described, in simple terms, as the study of data. The information and their assessment of big data can reveal interpretations and insights that can be utilised in many contexts, such as:
- businesses can predict and capitalise on consumer behaviour
- banking institutions are becoming savvier when it comes to fraud detection
- investors can use a combination of big data and artificial intelligence to make more informed investment choices
- pharmaceutical companies are using data analysis to accelerate the development of promising drugs.
Why study at Buckinghamshire New University?
On this degree programme, you'll be able to explore the many contexts and uses of data analysis across different industries, from how it's being used in banking to help with fraud detection, to understanding how investors are able to use a combination of big data and artificial intelligence to make more informed investment choices.
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.
We have a fantastic computing department with a dedicated team of academics and professionals delivering industry-relevant courses in a suite of well-equipped computer labs.
You’ll benefit from small class sizes that give you a chance to develop close working relationships with the tutors and other students. You'll also benefit from guest speakers and valuable networking opportunities.
This programme isn't just aimed at recent school and college leavers, we also welcome applications from mature candidates who may have aspirations to return to education, perhaps as a springboard towards a significant career change.
What facilities can I use?
We offer a range of state-of-the-art facilities across our campuses to support your learning and we've also invested heavily in industry-relevant software packages that will contribute further to you teaching experience.
Our computing facilities are packed with the latest equipment. We regularly upgrade our computer hardware and software, so you have the equipment and facilities to truly excel.
Our library is the perfect place to find the resources you need and a quiet place to study, filled with four floors of books, journals, computer suites and study rooms. Or, if you’d rather work off campus, e-Journals and resources are only a few clicks away using our Virtual Learning Environment.
What will I study?
This programme will provide you with a strong grounding in the technologies and systems that underpin the secure storage, sharing, analysis and presentation of data in various situations for different purposes.
This will include a broad education in computer architectures, networks, information security, programming, databases, web technology and software engineering.
Data analysis will naturally represent a central theme on the course. Technologies, information systems and different associated components will then be used to transform data into significant information so that stakeholders can report findings and make evidence-based decisions.
We'll cover related areas too, such as data warehousing, big data, business intelligence, data visualisation, intelligent systems and statistical methods.
The final stage of the programme provides options for different specialisation pathways. Depending upon what has inspired you during your course, and perhaps motivated by future career ambitions, you can potentially select modules that concentrate on either database development, artificial intelligence or cloud computing and network security. This final project gives you the opportunity to carry out a unique in-depth investigation of a topic you're particularly interested in, and to further develop your skills in research, problem solving and critical analysis.
This programme will:
- provide you with an in-depth understanding of the different dimensions of the field of data science
- equip you with relevant technical skills and experience in the use of different technologies, systems, approaches and methodologies relevant for the secure storage, communication, analysis and presentation of data
- develop your skills and knowledge so you can systematically and critically analyse the different methods and strategies for addressing various data-related problems in order to devise and implement appropriate solutions
- give you an appreciation of professional, moral, legal and ethical issues involved generally in computing and information technology and more specifically in relation to the handling and management of data.
How will I be taught and assessed?
This course is offered as a four-year programme, 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.
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.
What are the course entry requirements?
A typical offer will require a UCAS tariff score of: 32 - 56
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. If you wish to enquire further, please send your query along with any academic evidence or references to firstname.lastname@example.org
Find out more about our General Entry Requirements.
This provides a guide of the modules that make up your course. You can find more information about how your course is structured on our Academic Advice section.
Year 1 Modules
Preparing for Success: Knowledge and Creativity
Preparing for Success: Self Development and Responsibility
Inquiry Based Learning
Year 2 Modules
Digital Technologies and Professional Practice
Year 3 Modules
Data Presentation and Visualisation
Intro to Intelligent Systems (Team Project)
Year 4 Modules
Data Science (optional)
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)
What are the tuition fees
Home, Academic Year 2023 - 2024
£9,250 per year
Overseas/International, Academic Year 2023 - 2024
£15,000 per year
What are my career prospects?
Throughout your time with us we’ll support you on the route to your chosen career. We’ll help you to develop crucial skills, encouraging you to become enterprising, employable and good leaders. We also help you find employment after graduation. Have a look at our Careers and Employability pages to find out more.
Employability is at the heart of this degree, and we will help prepare you for a wide range of careers.
With a data science degree, you could work across a broad range of areas, such as:
- 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.
Did you know?
We are one of the top 10 UK universities mostly likely to produce graduates who go on to own or manage a business (Capital on Tap, 2021), find out more about this excellent news.