Course contact details
University of Greater Manchester Enquiries
Email:enquiries@greatermanchester.ac.uk
Phone:+44 (0)1204 903903
University of Greater Manchester
Deane Road
Bolton
BL3 5AB
Artificial Intelligence with foundation year
- Bachelor of Science (with Honours)
- 4 Years
- Full-Time
- September 2027
- Undergraduate
- University of Greater Manchester Main Site, Bolton
Course summary
Artificial intelligence (AI) is rapidly changing how we work and live. Combining a constellation of technologies and methods, our BSc (Hons) in Artificial Intelligence with foundation year offers vital knowledge and skills in key AI areas. You'll study machine learning, deep learning, computer vision, natural language processing, and essential computing disciplines, ready for a career in this rapidly developing field.
Industries across the world are increasingly adopting AI technologies to improve efficiency, innovation, decision-making and service delivery. This continued growth is creating significant employment opportunities for graduates who have the knowledge and practical expertise to design, develop, deploy and evaluate AI-based solutions across a wide range of sectors.
The University of Greater Manchester's BSc (Hons) in Artificial Intelligence with foundation year is an ideal choice if you seek a career in this innovative and fast-moving field and wish to study at a supportive, student-focused, multicultural university. The foundation year is the first year of this degree, offering an excellent grounding in the fundamentals of computing, programming and mathematics. It's designed to prepare you for degree-level study, ready to specialise in AI.
As you progress, our expert team will support you in developing a wide-ranging knowledge of AI, programming and computing methods and techniques, along with strong practical skills in applying these technologies. We'll cover the essential areas of computer and software systems science that underpin AI and explore specialised AI topics and the latest trends shaping the future of computer science.
While studying at our town centre campus in the North of England, you'll explore the latest methodologies and development techniques based on industry standards. We'll support you in developing your understanding in areas such as machine learning, computer vision, deep learning and natural language processing. Our dedicated tutors will also promote lifelong learning skills, creativity and critical thinking so you're ready to adapt as the computing and AI industry evolves throughout your career.
Our degree is tool-based. For each topic, we focus on developing your conceptual understanding and then support you as you learn to apply this theoretical knowledge in a practical setting. We use realistic scenarios developed with industry partners to test your skills and understanding. During the course, you'll build a coursework portfolio demonstrating your ability to solve real-world AI problems. This vital experience will help prepare you for a successful graduate career.
Interpersonal and transferable skills are also essential, so we'll challenge you to develop sought-after communication, problem-solving, analytical, self-management, and decision-making skills. Our dedicated team will focus on helping you gain the skills employers value and a detailed understanding of the technologies and methods underpinning computing and AI.
Modules
Visit our website
Information about the modules offered as part of this course is available on the University of Greater Manchester's website.
Assessment method
Details of the learning activities and assessment methods for this course are available on the University of Greater Manchester's website.
Ways to study this course
Campuses
- University of Greater Manchester Main Site, Bolton
Study options
- Bachelor of Science (with Honours) • Full-Time • Integrated foundation year • 4 Years
Start dates
- September 2027
Apply by
13 January 2027
This is the equal consideration deadline. You can still apply after this date, but your application may not receive guaranteed consideration.
Application codes
- Course code:
- W351
- Institution code:
- B44
- Campus name:
- University of Greater Manchester Main Site, Bolton
- Points of Entry:
- Year 1
Teaching Excellence Framework (TEF)
University of Greater Manchester has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.
See why these ratings were awarded
What does this TEF outcome mean?
How to apply
Apply by
13 January 2027
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- W351
- Institution code:
- B44
- Campus name:
- University of Greater Manchester Main Site, Bolton
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Typical qualification requirements
UCAS TariffOffer: 48
Any subjects are acceptable at Level 3. Relevant science, technology, engineering or mathematics (STEM) and computing-related subjects are preferred.
You should also have five GCSEs at grade 4/C or above (or equivalent), including English and Mathematics.
We'll be happy to consider your application if you don't meet the standard entry requirements but have non-traditional qualifications and/or relevant experience. You'll be required to undertake an assessment to determine your suitability for the course. You'll be assessed on your problem-solving skills and ability to participate in group work.
You may be required to attend an interview and/or provide a portfolio of work. https://greatermanchester.ac.uk/course/CRT041-F-UOB-FX
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6 | If English isn’t your first language, you’ll also need IELTS 6.0 with no less than 5.5 in any band (or equivalent). |
https://greatermanchester.ac.uk/international/international-general-entry-requirements
Historical entry grades data
This section shows the range of grades that students who received offers were previously accepted on to this course with (learn more).
It is designed to support your research but does not guarantee whether you will or won't get a place.
Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
Not enough data available
We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.
Historical entry grades report
This report uses your grades to show how students with similar results have done when applying to this course in the past. Sometimes, there isn’t data for every possible set of grades. When that happens, universities and colleges occasionally fill in the gaps for sets of grades that are typically accepted.
Fees and funding
Tuition fees
Per year tuition fees
| Location | Fee | Year |
|---|---|---|
| England, Scotland, Wales, Northern Ireland, Channel Islands & Republic of Ireland | £9790* | |
| EU & International | £17500* |
* This is a provisional fee and subject to change.
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
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