Tuition Fee
GBP 18,000
Per year
Start Date
2026-09-01
Medium of studying
On campus
Duration
4 years
Details
Program Details
Degree
Foundation
Major
Data Analysis | Data Science | Statistics
Area of study
Information and Communication Technologies | Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 18,000
Intakes
| Program start date | Application deadline |
| 2026-09-01 | - |
About Program
Program Overview
BSc (Honours) Data Science with Foundation Year
Course summary
Develop skills in mathematical modelling, specialised programming, advanced analytics, and artificial intelligence techniques, to analyse the data that underpins nearly all aspects of our lives.
How you learn
- Lectures and workshops.
- Practical IT lab sessions and tutorials.
- Regular feedback.
- Teamwork and group-based learning.
- Practice-based applied learning.
- Discussions
- Research and investigations.
- Participation at events (e.g. Alan Turing Institute), subject specific festivals (e.g. Festival of Computing),
- Supported and guided independent study.
Modules
Year 1
- Engineering And Mathematics In Practice
- Credits: 20
- Assessment: Coursework 100%
- Foundation Mathematics, Mechanics And Electronics 1
- Credits: 40
- Assessment: Coursework 100%
- Foundation Mathematics, Mechanics And Electronics 2
- Credits: 40
- Assessment: Coursework 100%
- Fundamentals Of Materials And Manufacturing
- Credits: 20
- Assessment: Practical 100%
Year 2
- Applied Data Analysis
- Credits: 20
- Assessment: Coursework 100%
- Essentials Of Data Science And Artificial Intelligence
- Credits: 40
- Assessment: Coursework 100%
- Mathematical And Statistical Methods
- Credits: 40
- Assessment: Coursework 60% Exam 40%
- Proof And Reasoning
- Credits: 20
- Assessment: Coursework 100%
Year 3
- Algorithms And Data Structures
- Credits: 40
- Assessment: Coursework 100%
- Artificial Intelligence And Machine Learning 1
- Credits: 20
- Assessment: Coursework 100%
- Handling Data In Cloud Systems
- Credits: 40
- Assessment: Coursework 100%
- Statistical Theory And Modelling
- Credits: 20
- Assessment: Coursework 100%
Year 4
- Placement Year
- Credits: -
- Assessment: -
Final year
- Artificial Intelligence And Machine Learning 2
- Credits: 20
- Assessment: Coursework 100%
- Development Project
- Credits: 40
- Assessment: Coursework 40% Practical 60%
- Ethics In Data Science And Ai
- Credits: 20
- Assessment: Practical 100%
- Programming For Artificial Intelligence
- Credits: 40
- Assessment: Coursework 100%
Future careers
This course prepares you for a career in:
- AI-Data Science consultant
- Data Scientist/AI engineer
- Financial Data Scientist
- Machine Learning/AI Data Scientist
Expertise in data science and artificial intelligence span many sectors though, where you will be able to undertake opportunities in any sector where those skills are utilised to develop or manage products/services. Some organisations include:
- Banks and financial institutions (e.g., Axis Bank, The Bank of England, HSBC, Virgin Money, etc).
- The Civil Service (e.g., HM Revenue and Customs, Department for Work and Pensions, etc).
- Health providers and pharmaceutical companies (e.g., NHS England, GSK, AstraZeneca, Labcorp, Parexel, etc).
- IT companies (e.g., Tata Consultancy Services).
Equipment and facilities
On this course you will work with:
- Specialist platforms (e.g. Azure, OpenAI)
- Specialist software (e.g. Python, SAS, Tableau, SAP Analytics, TensorFlow, PyTorch)
- Specialist data management applications (e.g. Hadoop EcoSystem)
- Project based learning spaces and IT laboratories equipped with high-spec computers and AI hardware accelerators (e.g. GPUs for parallel processing and lower-power Neuromorphic compute modules).
- State-of-the-art-machine learning software and application development environments.
- Cloud computing and Edge computing platforms.
Where will I study?
You study at City Campus through a structured mix of lectures, seminars and practical sessions as well as access to digital and online resources to support your learning.
Entry requirements
- UCAS points: 80
- GCSE: English Language at grade C or 4, Maths at grade C or 4, Science at grade C or 4
- GCSE Equivalents: Level 2 Literacy or Functional Skills Level 2 English, Level 2 Numeracy or Functional Skills Level 2 Maths
Fees and funding
- Home students: Tuition fees for 2026/27 are not yet confirmed. Our tuition fee for UK students on full-time undergraduate degree courses in 2025/26 is £9,535 per year (capped at a maximum of 20% of this during your placement year).
- International students: Our tuition fee for International/EU students starting full-time study in 2026/27 is £18,000 per year (capped at a maximum of 20% of this during your placement year)
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