BSc (Hons) Data Science
- Study Mode: Full Time
- Location: High Wycombe
- Duration: Three or Four Years
- Start Date: September 2025
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.
I am deeply grateful to BNU and its dedicated lecturers, whose unwavering support and expertise played a pivotal role in my academic journey. The skills and knowledge I gained have become integral to who I am today!聽Now, as a Data Analyst at Westcon-Comstor, I actively apply the extensive expertise and foundational insights acquired during my Data Science degree. This education continues to empower my professional growth and problem-solving capabilities daily.Yamin Hassan
Our computing facilities are regularly upgraded, ensuring you have access to the best hardware, software, and technology. This means you'll be well-versed in the technologies used by professionals, giving you a competitive edge in the job market. From Python and R to advanced data visualisation tools, you'll become proficient in the essential software. This practical knowledge will make you a valuable asset to any data-driven organisation.
Learn from knowledgeable academics and industry experts who bring their real-world experience into the classroom. Their insights and guidance will help you understand the current trends and demands in the data science field. You'll benefit from their mentorship and networking connections, opening doors to internships and job opportunities.
We put a strong emphasis on employability, aiming to provide you with the skills, knowledge, and confidence to succeed in your career. You'll benefit from career services, networking opportunities, and support to help you land your dream job. Our dedicated career advisors will help you craft a standout CV and prepare for interviews. You'll also have access to job fairs and industry events, connecting you with potential employers.
Throughout your course, you'll have opportunities to collaborate and network with industry professionals. These connections could lead to mentoring, internships and potential job prospects after graduation. Industry partnerships and our alumni network will help you build a strong professional network. You'll also have the chance to attend conferences and workshops, staying connected with the latest industry trends.
BNU is dedicated to helping you achieve your goals, offering personalized support and resources to ensure you thrive both academically and professionally in the cyber security realm. Whether you need study support, career advice, or mental health services, we鈥檙e here for you every step of the way. Your success is our priority, and we鈥檙e committed to helping you build a bright future.
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.
鈥淪ince graduating, I have been working in the tech industry, applying the skills I developed at BNU. My role involves solving complex data challenges, working with cutting-edge technologies, and contributing to innovative projects in data science, AI, and software development.
Every day, I use the knowledge I gained at university, and I continue to grow as a professional in the field.鈥
Andrei Cruceru, BSc (Hons) Data Science Graduate
How will I be taught and assessed?
BSc (Hons) Data Science uses a range of methods and technology to teach you in and out of class. You will participate in lectures, tutorials, seminars, and practical sessions. You will also learn from guest speakers, real projects, and visits to different places. You will become more independent and self-directed as you progress through the course. You will also have access to the BNU鈥檚 Virtual Learning Environment a digitally based platform that offers many features and resources to support and enhance your learning experience.
You will be assessed in different ways to prepare you for your future career. You will do different types of coursework (such as writing, doing, presenting, and working with others) and some tests or exams. You will also do a Project in your final year, where you will research a significant problem that is relevant to some current business challenge or your own career aspirations.
The was such a good experience. It was a great opportunity to connect with industry leaders and innovators at the forefront of Big Data and AI. I had a chance to speak to companies which allowed me to explore solutions and exciting opportunities.
Quincy Fernandes
What are the course entry requirements?
A typical offer will require a UCAS tariff score of: 88 - 112 (Full-time) or 32 - 56 (Foundation Year)
UCAS points can be obtained through qualifications such as A levels, T levels, BTEC or an Access to Higher Education course in a relevant subject. Please list all your qualifications on the application form as you will be asked to provide copies when we receive your application.
A minimum of two full A-levels (or equivalent) is required. Every application is considered on an individual basis.
For further details of our international English entry requirements, please visit our international pages.
Those with no previous study, work experience, or who do not meet the specified entry requirements, including demonstrating the necessary knowledge and understanding, are welcome to apply for the 3-year BSc (Hons) degree, however may be offered the four-year programme which includes a Foundation Year.
Modules
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.
What are the tuition fees
Home
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Home Foundation Year, Academic Year 2025 - 2026: 拢9,535 *
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Home, Academic Year 2025 - 2026: 拢9,535 per year *
International
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Overseas/International Foundation Year, Academic Year 2025 - 2026: 拢15,150 *
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Overseas/International, Academic Year 2025 - 2026: 拢15,150 per year *
Following the Government鈥檚 announcement of 4 November 2024, we will be increasing our full-time undergraduate tuition fees for UK students to 拢9,535 per year from the start of the 2025/26 academic year. Our part-time fees for UK undergraduate students will increase to 拢7,145 per annum. Please visit鈥, on the Government鈥檚 website, for more information about the changes.
Tuition fees for Home undergraduate students (including with foundation year) may increase in subsequent years for both new and continuing students in line with an inflationary amount determined by the Government.鈥
Tuition fees for both new and continuing international students may be subject to an inflationary increase based on the Consumer Price Index (CPI) for the 12-month period to 31 January each year.鈥
Tuition fees for postgraduate courses and CPD may be subject to an inflationary increase based on the Consumer Price Index (CPI) for the 12-month period to 31 January each year. This increase will apply to both new and continuing students.鈥
We understand, and really appreciate, the significant financial commitment our students make when they choose to study at BNU. We take our responsibilities to our students very seriously, and are ambitious for each to reach their full potential and succeed in their chosen career. Our fees help us to continue providing our students with a high-quality education, and to invest in the services and facilities which create an excellent student experience at BNU.
The following factors will be considered by the University when we set the annual fees: measures of inflation such as the retail price indices; projected increases in University costs; and any changes in the level of funding for teaching received from the Government.
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:
In Retail:
- Pricing analyst
- Forecasting analysist
- Reporting analyst
In Health:
- Health Outcomes Researcher
- Medical Imaging Analyst
- Informatics Specialist
In Crime and Policing:
- Crime Analyst
- Intelligence Analyst
- Law Enforcement Data Analyst
- Public Safety Data Analyst
- Criminal Intelligence Analyst
In the Government:
- Statistical Analyst
- Public Sector Researcher
- Policy Data Analyst
- Data Scientist
- Machine Learning Engineer
- Cybersecurity Data Analyst
In the Business sector:
- Financial Engineer
- Business Analyst
- Marketing Data Analyst
- Asset Data Coordinator
- BI data engineer
In the IT sector:
- Data Scientist
- Data Engineer
- ML Engineer
- AI Engineer
- SQL Coder
- Technical Data Analyst
- Cybersecurity Data Analyst
Course leader
- Deputy Head of School (Creative and Digital Industries)
- Associate Professor
