FDSc Data Science
- Study Mode: Full Time
- Location: High Wycombe
- Duration: Two Years
- Start Date: September 2025
Ready to dive into the dynamic world of data science? At BNU our FdSc Data Science focuses on training real-world skills, to an industry-agreed standard. This means you can graduate with the exact skillset that some of the biggest companies in the country are looking for.
If you’re looking for a course that puts you at the forefront of technology innovation and equips you with the skills looked for across industries, a Higher Technical Qualification (HTQ) in Data Science could be for you.
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! 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
We live in an increasingly data-driven world, and studying an HTQ in Data Science at BNU prepares you to thrive in a rapidly changing job market. Whether you're a recent school leaver, a professional seeking to upskill, or a mature learner ready for a career change, this course equips you with the in-demand skills employers are looking for. With accreditation from prestigious bodies like the and the , you'll gain a solid foundation in data analysis, programming, and data technology, setting you on a path towards fulfilling and well-paid career opportunities.
This Higher Technical Qualification (HTQ) course course has been accredited by the . This course runs for two years with an industry-certified focus on employability and hands-on training.
This programme has been carefully designed by our industry expert academics, based on standards set by professional bodies, to provide you with the skills and abilities needed to thrive in the fast-moving software industry. This means you will graduate with the skills, knowledge, behaviours, and attributes to carve out your own career, create your own opportunities, and enable you to adapt to diverse and different professional work situations and industry needs.
After graduation, you will also have the option of adding an additional top-up year for a full BSc Honours degree.
As a student, you'll have access to state-of-the-art facilities and software licensed by the university. Whether it's specialised programming languages like Python, industry-standard databases, or advanced data visualization platforms, you'll have everything you need to excel in your studies.
A qualification in data science opens doors to a wide range of career paths across various sectors, from healthcare and finance to retail and government. Whether you aspire to be a data analyst, data scientist, or data engineer, this course prepares you for success in roles that require expertise in data analysis and interpretation. This two-year foundation degree provides opportunities for progression to higher-level qualifications such as a top-up to a full BSc (Hons) degree, your learning journey doesn't end here - it's just the beginning of a rewarding career.
Beyond technical skills, FdSc Data Science fosters the development of critical thinking, communication, and leadership abilities essential for success in any field. Through engaging lectures, guest speakers from the industry, and opportunities for industry visits and conferences, you'll gain valuable insights into the practical applications of data science and develop a well-rounded skill set valued by employers worldwide.
“Since 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.”
Andrei Cruceru, BSc (Hons) Data Science Graduate
What will I study?
Studying FdSc Data Science at BNU, you'll dive deep into a comprehensive curriculum designed to equip you with the skills and knowledge necessary for success in a career in data science. You’ll study a wide range of topics, such as:
- Data design, collection, and maintenance.
- Data tools (programming/statistical/visualisation/data handling)
- Data visualisation and representation
- Data compliance and ethical use
- Data storytelling and communication
This HTQ programme focuses on technical data analysis applications and services for industries that require expertise in data-focused computing sectors, using database development technologies.
You will gain an appreciation of the role that data-based computing can have in a range of business and industry contexts. The course provides a balance of theory and practice (with more focus on practice), providing opportunities to apply knowledge into real projects where possible.
How will I be taught and assessed?
This HTQ programme places a strong emphasis on practical coursework, both individually and in teams, to help you to develop the skills and knowledge necessary for success in your chosen fields.
In today's world, data analysis is an essential part of every sector and industry, from healthcare to finance, from marketing to transportation, and more. Our teaching and learning methods incorporate a growing emphasis on capability, competency, and performance. This is reflected in a range of activities, including simulated workplace environments, live projects with clients, and placements, as well as newer approaches such as online evaluations, and role-playing scenarios.
Assessments are, where possible, authentic, and tied to real-world contexts and constraints, allowing you to practically show the skills you have developed.
We have incorporated, where appropriate, the use of capstone activities (to encourage you to think critically, solve challenging problems, and develop professional employability skills) when concluding the session. This brings together knowledge, practical, and analytical skills that you have developed throughout the course. This may take the form of a traditional project, practical coursework, or artefact development.
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
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.
The University’s general entry requirements will apply to admission to this programme.
If you do not meet the entry requirements you may, if you have relevant professional experience, still be invited for interview, where you will have to show the necessary knowledge and understanding for entry onto the course.
Previous study, professional and / or vocational experiences may be recognised as the equivalent learning experience and allow exemption from studying certain modules by our accreditation of prior learning (APL) process.
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, Academic Year 2025 - 2026: £9,535 per year *
International
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Overseas/International, Academic Year 2025 - 2026: £15,150 per year *
Following the Government’s announcement of 4 November 2024, we will be increasing our full-time undergraduate tuition fees for UK students to £9,535 per year from the start of the 2025/26 academic year. Our part-time fees for UK undergraduate students will increase to £7,145 per annum. Please visit , on the Government’s 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.
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.
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.
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?
You'll graduate with a wealth of career opportunities in the field of data science, such as:
- Data Analyst
- Departmental Data Analyst
- Marketing Data Analyst
- Problem Analyst
- Energy Data Analyst
These roles often involve responsibilities such as collecting, analysing, and interpreting data to inform decision-making, solve complex problems, and drive business outcomes.
Additionally, this course provides opportunities for progression to higher-level qualifications, including a BSc (Hons) Degree in Data Science and eventually an MSc in Artificial Intelligence or Computer Science, further enhancing your career prospects and opportunities for advancement.
Course leader
