Anglia Ruskin University

Degree level: Undergraduate

Artificial Intelligence [with Foundation Year]

Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

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.

Course details

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


How to apply

Application codes

Course code:
I402
Institution code:
A60
Campus name:
Cambridge Campus
Campus code:
C

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

5 GCSE passes at grade 3 or D or above and evidence of two years post-GCSE study at Level 3. If you have achieved at least grade E in one A level, or equivalent, you are exempt from the two year post-GCSE study requirement, but you still have to meet the GCSE requirements. Applicants who do not meet the two years post GCSE study at level 3 may be considered based on their satisfactory employment history, which must be a minimum of two years full time employment supported by employer evidence and deemed appropriate by the University for meeting the course of study applied for. If English is not your first language you will be expected to demonstrate a certificate level of proficiency of at least IELTS 5.5 overall including 5.5 in each band/component

Please click the following link to find out more about qualification requirements for this course

https://aru.ac.uk/study/undergraduate/artificial-intelligence


Unistats information

Operated by the Office for Students
57%
Student satisfaction
68%
Employment after 15 months (Most common jobs)
86%
Go onto work and study

The student satisfaction data is from students surveyed during the Covid-19 pandemic. 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 £9250* Year 1
Northern Ireland £9250* Year 1
Scotland £9250* Year 1
Wales £9250* Year 1
Channel Islands £9250* Year 1
Republic of Ireland £9250* Year 1

*This is a provisional fee and subject to change.

Additional fee information

https://aru.ac.uk/student-life/preparing-for-university/help-with-finances/undergraduate 2022 International fees are to be confirmed
Artificial Intelligence [with Foundation Year] at Anglia Ruskin University - UCAS