**Reasons to choose Kingston**
- To set the material in context as well as inspire our students, we invite leading practitioners from industry, such as Google and IBM, to give guest lectures and workshops.
- Theres the opportunity for a years work placement. This will give you valuable experience and help prepare you for a career in finance or data analysis.
- Youll use applications that model the real world and industry-standard software such as Python R, Matlab and SAS
**About this course**
The course is ideal for studen...
**Reasons to choose Kingston**<br/><br/><br/>- To set the material in context as well as inspire our students, we invite leading practitioners from industry, such as Google and IBM, to give guest lectures and workshops.<br/><br/><br/>- Theres the opportunity for a years work placement. This will give you valuable experience and help prepare you for a career in finance or data analysis.<br/><br/><br/>- Youll use applications that model the real world and industry-standard software such as Python R, Matlab and SAS <br/><br/><br/>**About this course**<br/>The course is ideal for students who are interested in developing and applying problem-solving skills to real world problems, would like to develop their understanding of computing, mathematics and statistical techniques through the practical lens of artificial intelligence (AI). With a balance of solid theory and practical application, this course builds on knowledge in relevant areas of statistics, data analysis, probability and programming.<br/><br/>The over-arching aim of the Computer Science and Artificial Intelligence course is to produce highly trained graduates with specialist technical knowledge in the mathematical and computational science aspects of applied AI, capable of solving real world problems with understanding of the wider socio-technical implications.<br/><br/>**Future Skills** <br/>Embedded within every course curriculum and throughout the whole Kingston experience, Future Skills will play a role in shaping you to become a future-proof graduate, providing you with the skills most valued by employers such as problem-solving, digital competency, and adaptability. <br/><br/>As you progress through your degree, youll learn to navigate, explore and apply these graduate skills, learning to demonstrate and articulate to employers how future skills give you the edge. <br/><br/>At Kingston University, were not just keeping up with change, were creating it. <br/><br/>**Career opportunities**<br/>This degree is excellent preparation for a wide variety of careers, such as a data analyst, machine learning engineer, systems and business analyst, software engineer, programmer and network specialist.
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Course Details
Information
Study Mode
Full-time
Duration
4 Years
Start Date
15/09/2025
Campus
Main Site
Provider Details
Codes/info
Course Code
I101
Institution Code
K84
Points of Entry
Year 1
UCAS Tariff112 128 UCAS points from a minimum of 2 A-Levels or equivalent Level 3 qualifications. Scottish HigherEquivalent of 112 UCAS points. Access to HE DiplomaD:15,M:30 Equivalent of 112 UCAS points from an Access course in a related subject such as Computing, Maths, Science or Engineering. International Baccalaureate Diploma ProgrammePearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)Pearson BTEC Level 3 National Diploma (first teaching from September 2016)A levelT Level |
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Region | Costs | Academic Year | Year | |
---|---|---|---|---|
England, Northern Ireland, Scotland, Wales | £9,250 | 2024/25 | Year 1 |
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