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Artificial Intelligence [with Foundation Year]

Entry requirements


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About this course


Course option

4years

Full-time including foundation year | 2024

Subject

Artificial intelligence

Meet the future head-on and help to shape the world with the science of machine learning with our Artificial Intelligence BSc (Hons) degree in Cambridge.

Our specialist facilities are perfect places to develop practical skills and get experience of working with industry-standard tools, such as VMware IT Academy and AWS. We encourage collaboration, so you’ll also learn through activities with your peers, and lectures and seminars from industry experts.

From self-driving cars to chess-playing computers, artificial intelligence (AI) has been shaping our world for some time now. With our BSc (Hons) Artificial Intelligence degree in Cambridge, you’ll explore the science of machine learning and develop the skills to firmly place yourself at the forefront of technological innovation.

Our degree course, accredited by both BCS, The Chartered Institute for IT, and IET (The Institution of Engineering and Technology), will help you stand out to employers in a range of industries, both in the UK and overseas. Once you graduate, you’ll be able to register as an Incorporated Engineer and, with further study, you can become a Chartered Engineer.

During your time at ARU, you’ll also get the opportunity for a placement year in industry which will see you linked with a high-tech hub company in Cambridge, the region and beyond. You’ll build up experience working and make industry contacts to benefit your studies and enhance your long-term career prospects.

Our Artificial Intelligence degree course has been designed with the industry and employers in mind, meaning you have the opportunity to learn the professional skills you’ll need after graduation. The course is supported by our Employers’ Advisory Group, which includes experts from companies like ARM, Redgate, Amazon and Cambridge Spark.

During your time at ARU, you'll work on live brief assignments proposed by companies like Mathworks or Redgate and you will have 12-month access to Pluralsight professional online training courses for programmers, which is included in and guided through the Introduction to Programming module. This gives you enhanced opportunities to experience real-world professional training as part of your academic course.

You’ll learn all about the history of AI, the systems that underpin AI and the advanced algorithms that are employed. To achieve this, you’ll be using the most up-to-date technologies including software packages and hardware infrastructure.

As part of your studies with us, you will be able to access online educational resources from the Intel AI Academy and AWS Educate programme. Our specialist facilities include a Cisco and AI lab, and we use tools such as Microsoft Imagine Premium and VMware IT Academy. We encourage collaboration, so you’ll also learn through activities with your peers, and lectures and seminars from industry experts.

Modules

Level 3 (foundation year)

Foundation in Engineering, Computing and Technology

Level 4 modules

Introduction to Programming
Computer Systems
Computer Modelling and Simulation
Fundamentals of AI
Introduction to Mathematical Techniques for Artificial Intelligence

Level 5 modules

Advanced Analytical Techniques for AI
Database Design and Implementation
Software Engineering
Digital Security
Machine Learning
Artificial Neural Networks

Level 5 optional modules

Object Oriented C++
Microprocessor Systems Design

Level 6 modules

Final Project
AI Techniques (Fuzzy Logic and Genetic Algorithms)
Professional Issues: Computing and Society
Deep Learning
Distributed-Systems Programming

Level 6 optional modules

Image Processing
Digital Signal Processing
Internet Services, Data Analytics and the Cloud
Ethical Hacking and Countermeasures

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
Northern Ireland
£9,250
per year
Republic of Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

Cambridge Campus

Department:

School of Computing and Information Sciences

Read full university profile

What students say


How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Artificial intelligence

Sorry, no information to show

This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.


Who studies this subject and how do they get on?

33%
UK students
67%
International students
92%
Male students
8%
Female students
73%
2:1 or above
13%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

A*
B
B

After graduation


The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.

Artificial intelligence

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

£21,500
med
Average annual salary
85%
low
Employed or in further education

Top job areas of graduates

47%
Information technology and telecommunications professionals
9%
Information technology technicians
8%
Sales assistants and retail cashiers

Artificial intelligence is a very specialist subject taken by less than 100 people a year at the moment, so there is little reliable information available on graduate prospects - bear that in mind when you review the stats above. Graduates taking this type of subject are more likely than other computing graduates to go into further research. However, if you want to find out more specifically about the potential graduate outcomes of a specific course, it's a good idea to go on open days and talk to tutors about what previous graduates have gone on to do.

What about your long term prospects?

Looking further ahead, below is a rough guide for what graduates went on to earn.

Artificial intelligence

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£23k

£23k

£25k

£25k

£31k

£31k

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

Explore these similar courses...

Higher entry requirements
Liverpool Hope University | Liverpool
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BSc (Hons) 3 Years Full-time including foundation year 2024
UCAS Points: 112
Nearby University
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Artificial Intelligence and Robotics with Foundation Year
BSc (Hons) 4 Years Full-time including foundation year 2024
UCAS Points: 32-48
Lower entry requirements
Anglia Ruskin University | Cambridge
Artificial Intelligence
BSc (Hons) 3 Years Full-time including foundation year 2024
UCAS Points: 112
Same University
Anglia Ruskin University | Cambridge
Embedded Computing and Machine Learning [Top up]
BSc (Hons) 1 Years Full-time including foundation year 2024
UCAS Points: -

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Teaching Excellence Framework (TEF):

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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.

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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

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Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.

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Graduate field commentary:

The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show

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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.

While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?

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