Undergraduate
4 years
BSc (Hons) Data Science with Foundation Year
This BSc (Hons) Data Science with Foundation Year programme develops the technical and analytical skills needed for a career in the growing data industry. Learn programming, mathematics, cyber security, and industry-standard tools while gaining practical experience with real-world data challenges. Prepare for roles involving data analysis, technology, and innovation.

The BSc (Hons) Data Science with Foundation Year programme provides a strong pathway into the fast-growing field of data science, combining theoretical knowledge with practical industry skills. The foundation year introduces key areas including mathematics, programming, and cyber security, preparing you for advanced study and future careers.
Throughout the course, you will develop practical data science abilities using industry-standard tools and technologies such as Python, SQL, Hadoop, Spark, Tableau, and Linux. You will learn how to analyse complex datasets, apply computational techniques, and solve real-world problems through practical projects and case studies.
Applicants should meet the following requirements:
At least one A Level or a minimum of 32 UCAS points from an equivalent Level 3 qualification (such as BTEC Subsidiary/National/BTEC Extended Diploma).
GCSE English Language and Mathematics at grade C/4 or above (or equivalent, such as Functional Skills Level 2).
Applicants who meet the UCAS points requirement but have achieved a D/3 in English and/or Maths GCSE may be offered a University assessment test.
Data Scientist
Data Analyst
Business Intelligence Analyst
Machine Learning Engineer
Data Engineer
Artificial Intelligence Specialist
Database Administrator
Big Data Analyst
Data Consultant
Software Developer
Research Analyst
Technology Consultant
Modules
Year 0 (Foundation Year)
Cyber Security Fundamentals
Introduction to Robotics and Internet of Things
Mathematics
Programming
Year 1
Data Analysis
Financial Mathematics
Fundamentals of Computing
Introduction to Information Systems
Logic and Mathematical Techniques
Programming
Year 2
Data Analytics
Data Engineering
Databases
Professional and Ethical Issues
Programming with Data
Smart Data Discovery
Statistical Methods and Modelling Markets
Year 3
Artificial Intelligence and Machine Learning
Career Development Learning
Data and Web Development
Project
Artificial Intelligence and Big Data in Business
Big Data and Visualisation
Cryptography and Number Theory
Project Analysis and Practice
Location
Holborn - James House, 10 Rosebery Avenue, London, EC1R 4TF.
Middlesex Street - 110 -114 Middlesex Street, London, E1 7HT.
Fitzwilliam House - 10 St Mary Axe, London, EC3A 8BF. Birmingham - 5th Floor, Centre City, 5-7 Hill Street, B5 4UA.
Manchester - Saint James Buildings, 61-95 Oxford St, M1 6FQ
FAQs
No. All of our services are completely free. From your initial consultatioin through to application support and admission, we’ll guide you every step of the way at no cost.
Yes. We work with a range of recognised and respected higher education institutions, and the qualifications they offer are widely recognised both in the UK and internationally.
Our consultations are free and designed to help you find the right course for your goals. We'll discuss your interests, career ambitions, previous qualifications, and any relevant experience to recommend the most suitable study options for you.
Not necessarily. Many of our partner institutions offer flexible study options to suit different lifestyles. Depending on the course, you may be able to study during weekdays, evenings, weekends, online, or through a blend of in-person and independent learning. If you're working or have other commitments, our team can help you find a course that fits your schedule.










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