This computer science with AI degree has three stages, each comprising 120 credits.
- In Stage 1, you’ll study four 30-credit modules covering computing fundamentals, essential maths and programming.
- In Stage 2, you’ll study four 30-credit modules covering further programming, applied mathematics and machine learning.
- In Stage 3, you’ll study three 30-credit modules covering further machine learning, AI and ethics and complete a 30-credit project module.
You’ll study four 30-credit modules covering computing fundamentals, essential maths and programming.
Stage 1 modules
| Modules | Credits |
|---|
| You'll study all four of the following: |
|---|
| Technologies in practice (TM129) | 30 |
| Computing fundamentals 1: concepts and Python programming (TM110) – planned for April 2026 | 30 |
| Essential mathematics 1 (MST124) | 30 |
| Computing fundamentals 2: programming, databases, software engineering (TM113) – planned for October 2026 | 30 |
You’ll study four 30-credit modules covering further programming, applied mathematics and machine learning.
You’ll study three 30-credit modules covering further machine learning, AI and ethics. and complete a 30-credit project module.
We regularly review our curriculum; therefore, the qualification described on this page – including its availability, its structure, and available modules – may change over time. If we make changes to this qualification, we’ll update this page as soon as possible. Once you’ve registered or are studying this qualification, where practicable, we’ll inform you in good time of any upcoming changes. If you’d like to know more about the circumstances in which the University might make changes to the curriculum, see our or . This description was last updated on 18 March 2025.
Accessibility
Our qualifications are as accessible as possible, and we have a comprehensive range of support services. Our BSc (Honours) Computer Science with Artificial Intelligence uses a variety of study materials and includes the following elements:
- Online study – most modules are online; some have a mix of printed and online material. Online learning resources could include websites, audio/video, and interactive activities
- Pre-determined schedules – we’ll help you to develop your time-management skills
- Assessment in the form of short-answer questions, essays, and examinations
- Feedback – continuous assessment includes feedback from your tutor and using this to improve your performance
- Using and producing diagrams and screenshots
- Finding external/third-party material online
- Accessing online catalogues and databases
- Specialist software
- Mathematical and scientific expressions, notations and associated techniques
- Online tutorials
- Group-work
- Practical work
Every module has its own Accessibility Statement with more detailed accessibility information – you’ll find these on individual module descriptions.
Visit our Disability support page to learn about our services.
Learning outcomes, teaching and assessment
This qualification develops your learning in four main areas:
- Knowledge and understanding
- Cognitive skills
- Practical and professional skills
- Key skills
Read the detailed learning outcomes here
Credit transfer
If you have already studied at university level, you may be able to count it towards your Open University qualification – which could save you time and money by reducing the number of modules you need to study. At the OU we call this credit transfer.
It’s not just university study that can be considered, you can also transfer study from a wide range of professional or vocational qualifications such as HNCs and HNDs.
Credit transfer will be available from October 2027 onwards. However, the full credit transfer scheme won’t be available until October 2028.
- If you begin your studies in October 2027, the maximum amount of credit transfer available will be 120 credits. Applications will open in March 2027.
- If you begin your studies in October 2028, the maximum amount of credit transfer available will be 240 credits. Applications will open in March 2028.
You should apply for credit transfer before you register, at least 4 weeks before the registration closing date. We will need to know what you studied, where and when and you will need to provide evidence of your previous study.
Classification of your degree
On successfully completing this course, we’ll award you our BSc (Honours) Computer Science with Artificial Intelligence.
The class of honours (first, upper-second, lower-second or third) will depend on your grades at Stages 2 and 3.
You’ll have the opportunity to attend a degree ceremony.
International recognition
If you intend to use your Open University qualifications to seek work or undertake further study outside the UK, we recommend checking whether your intended qualification will meet local requirements for your chosen career. Find out more about international recognition of Open University qualifications.
Regulations
As a student of 快猫视频, you should be aware of the content of the qualification-specific regulations below and the academic regulations that are available on our website.
There are no formal entry requirements for this qualification.
At 快猫视频 we believe education should be open to all, so we provide a high-quality university education to anyone who wishes to realise their ambitions and fulfil their potential.
Even though there are no entry requirements, there are some skills that you’ll need to succeed. If you’re not quite ready for OU study we can guide you to resources that prepare you, many of which are free.
Answer a few quick questions to check whether you’re ready for study success
Stage 1 includes a mathematics module鈥Essential mathematics (MST124). Check you’re ready鈥痜or this module with the resource below:
How much time do I need?
- Most of our students study part-time, completing 60 credits a year.
- This will usually mean studying for 16–18 hours a week.
Find out if you have enough time to study with our time planner
You can complete your studies in six years part-time. However, your last module (TM470) ends in September, so you’ll receive your final results in December rather than June/July. You should consider this if you’re planning further study and wish to use your BSc (Honours) Computer Science with Artificial Intelligence as an entry qualification.
It’s not yet possible to study this qualification at full-time equivalent intensity as the Stage 1 module TM113 is in production. You can study at full-time equivalent intensity (120 credits per year) from October 2026.
Preparing for study with an Access module
Students who start their study with an Access module are more likely to be successful when they advance to Stage 1 of their qualification. They’re specially designed to give you a gentle introduction to OU study, boost confidence in your study skills, and help you gain a broad overview of your chosen subject area.
You’ll also benefit from:
- feedback from your tutor through regular one-to-one phone tutorials
- support from a dedicated team throughout your study
- detailed written feedback on your work.
The Access module we’d recommend studying in preparation for this qualification is our:
Science, technology and maths Access module
What you will study
This multidisciplinary module is an ideal starting point if you have little or no previous knowledge of the sciences, technology and mathematics. It’ll help develop your study skills in advance of your OU qualification, and you get to explore a number of STEM subjects including science, engineering and design, environment, mathematics, and computing and IT.
View full details of Science, technology and maths Access module
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Skills for career development
This degree will benefit you whether you already work with computing and AI solutions or aspire to enter the field. You’ll gain a sound grasp of hardware, software, and systems-based technologies, preparing you for employment in software engineering, communications, and the AI industry. You’ll develop transferable skills such as numeracy, problem-solving, teamwork, time management, employability, and sustainability awareness.
Career relevance
The digital sector must meet the need for skills in Computing and AI. Graduates are in demand by providers (such as software houses), and the range of organisations employing computing and IT graduates is extensive. It includes:
- broadcast media
- digital media
- financial services
- healthcare
- leisure and gaming
- retail
- manufacturing
- public sector organisations
- telecommunications
- tourism
- transport.
Exploring your options
Once you register with us (and for up to three years after you finish your studies), you’ll have full access to our careers service for a wide range of information and advice – including online forums, website, interview simulation, vacancy service as well as the option to email or speak to a careers adviser. Some areas of the careers service website are available for you to see now, including help with looking for and applying for jobs. You can also read more general information about how OU study enhances your career.
In the meantime, if you want to do some research around this qualification and where it might take you, we’ve put together a list of relevant job titles as a starting point (note that some careers may require further study, training or work experience beyond your degree):
- AI developer
- data analyst
- data engineer
- data scientist
- software engineer.