Open University
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Course contact details
Student Recruitment Team
Email:general-enquiries@open.ac.uk
Phone:0300 303 5303
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Computer Science with Artificial Intelligence (W25)
2 Study options · UndergraduateDistance Learning
- Awarded by:
- The Open University
Course summary
Gain the in-demand skills needed in a fast-moving digital world through our computer science with artificial intelligence diploma, designed using the latest industry insights and research. You’ll go beyond computer science fundamentals and explore AI topics rapidly shaping how we live, work and connect. Through practical projects, you’ll become a computational problem solver, gaining valuable transferable skills in computing, mathematics and programming. So, whichever tech areas interest you most, we’ll equip you with the skills for an array of careers.
Key features
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Immerse yourself in the latest developments in artificial intelligence
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Begin building expertise in data structures, programming, machine learning and more
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Develop computing, mathematical and problem-solving skills that employers seek
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Gain transferable skills applicable to computing and AI professions
Ways to study this course
Campuses
- Distance Learning
Study options
- DipHE • Distance learning • 3 to 4 years
- DipHE • Distance learning • 2 to 4 years
Start dates
- 10/2026
- 02/2027
- 04/2027
Application codes
- Institution code:
- O11
Teaching Excellence Framework (TEF)
Open University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.
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How to apply
To apply for this course you will be taken to the provider's website, where you can find out more information and make an application.
Application codes
- Institution code:
- O11
This course may be available at alternative locations, please check if other course options are available.
Course optionsHistorical entry grades data BETA
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted 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
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Fees and funding
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