Course summary
Artificial intelligence and data science have a pivotal role in driving a new era of innovation in computer science, public healthcare, manufacturing, and transport. This programme equips you with research, design, and development skills to apply artificial intelligence techniques in the context of industrial and business solutions. It inspires you to critically think about the relationships between AI and human societies whilst addressing legal, ethical, and environmental challenges. In our state-of-the-art AI lab, you will develop and deploy applied AI solutions individually and as part of a team. There are opportunities to participate industrial events and guest lectures from AI experts from around the world. As a member of Amazon Web Services (AWS) Academy, the programme includes AWS accredited cloud computing courses to prepare students for industry-recognised certifications and the most in-demand careers in the cloud industry. We know how competitive the graduate job market can be. The programme covers a range of knowledge and practical skills to help you establishing your career as a machine learning software engineer, solution architect, project manager or a research scientist. While theories are important for AI solutions, we emphasise on practical learning. You will learn fundamentals and advanced applications of data science and machine learning progressively over the course period using tools such as Python and JAVA. You will be taught through a variety of activities and problem-solving challenges, so that you can apply your knowledge creatively for a career in industry or research. By studying at the University of Northampton, you can be sure that:
- You will experience student life at the University’s £330 million Waterside Campus. Come along to an Open Day and find out more.
- Students enrolling on this course at Northampton will be provided with their own brand new laptop* to keep at no additional cost. All sports clubs and societies are free to join at Northampton and every essential course text book is available via the library, meaning you won’t have to purchase copies. For more information on this visit our website (northampton.ac.uk/benefits).
- At UON we guarantee a room in our Halls of Residence for all new full-time, first year students who apply and accept their room offer by June 2025 - and we won't ask for a deposit for September 2025**
- Our expert academics teach in small groups supported with one to one assistance. Our academics and students form a tight bond, providing individualised support and guidance whilst challenging students academically.
- Whatever your ambitions, we’re here to help you to achieve them. We’ll support you to identify the skills you’re learning during your course, find your strengths and secure practical experience so that when it comes to applying for jobs or further study you’ll feel confident in standing out from the crowd.
- We’re so confident in our careers and employability support that if you achieve at least a 2:2 degree and complete either our Employability Plus Gold programme or achieve a Changemaker Gold Certificate during your time studying with us, but still haven’t secured full-time employment 12 months after graduating, we will secure a three – six month paid internship for you or support you into postgraduate study.
Modules
Stage 1 • Computer Systems (Compulsory) • Computer Communications (Compulsory) • Web Development (Compulsory) • Software Engineering Fundamentals (Compulsory) • Problem Solving and Programming (Compulsory) • Mathematics for Computer Science (Compulsory) Stage 2 • Data Structures and Algorithms (Compulsory) • Group Project (Compulsory) • Web Programming (Compulsory) • Relational Databases (Compulsory) • Cloud Computing and Big Data (Compulsory) • Introduction to Artificial Intelligence (Compulsory) Optional Placement Year • Learning Through Work (WBL) (Designated) Stage 3 • Computing Project Dissertation (Compulsory) • Media Technology (Compulsory) • Modern Databases (Compulsory) • Advanced AI and Applications (Compulsory) • Natural Language Processing (Compulsory) Module information is quoted for 2024 entry. Please note that modules run subject to student numbers and staff availability, any changes will be communicated to applicants accordingly.
How to apply
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:
- I260
- Institution code:
- N38
- Campus name:
- Waterside Campus
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - 112 points
A level - BCC
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DMM
Access to HE Diploma - M: 30 credits
Scottish Higher - BBBB
AS
Pearson BTEC Level 3 National Diploma (first teaching from September 2016)
Pearson BTEC Level 3 National Foundation Diploma (first teaching from September 2016)
Pearson BTEC Level 3 National Extended Certificate (first teaching from September 2016)
Pearson BTEC Level 3 National Certificate (first teaching from September 2016)
Pearson BTEC Extended Diploma (QCF) - DMM
Pearson BTEC Diploma (QCF)
Pearson BTEC 90-Credit Diploma (QCF)
Pearson BTEC Subsidiary Diploma (QCF)
Pearson BTEC Certificate (QCF)
Scottish Advanced Higher - BCC
International Baccalaureate Diploma Programme - 25 points
Welsh Baccalaureate - Advanced Skills Challenge Certificate (last awarded Summer 2024)
Extended Project
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017) - H3, H3, H3, H3
Cambridge International Pre-U Certificate - Principal - M2, M3, M3
OCR Cambridge Technical Extended Diploma - DMM
OCR Cambridge Technical Diploma
OCR Cambridge Technical Subsidiary Diploma
OCR Cambridge Technical Foundation Diploma
OCR Cambridge Technical Introductory Diploma
OCR Cambridge Technical Extended Certificate
OCR Cambridge Technical Certificate
AQA Level 3 (Foundation) Technical Level (360 glh)
AQA Level 3 Technical Level (540 glh)
AQA Level 3 Technical Level (720 glh)
AQA Level 3 Technical Level (1080 glh) - DMM
T Level - Pass (C and above)
GCSE Mathematics at grade 4 (or C) or equivalent is required. Please note Key Skills or Functional Skills qualifications and their equivalents are not accepted.
Student Outcomes
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
England | £9535 | Year 1 |
Northern Ireland | £9535 | Year 1 |
Scotland | £9535 | Year 1 |
Wales | £9535 | Year 1 |
Channel Islands | £9535 | Year 1 |
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
Provider information
University of Northampton
The University of Northampton
Waterside Campus
University Drive
Northampton
NN1 5PH