Broaden your expertise through the use of Artificial Intelligence (AI) techniques. In a world reliant on data to improve processes and monitor success, this course will help you gain transferable skills in AI to benefit your work place. It's been designed in response to the high demand for experts in big data analysis and modelling. Choose to take an optional 12-week work placement as part of your course and boost your employability.
The combined effect of the big volume of data availability on a global scale and a significant increase in processing power offered by technologies like cloud computing has made it possible to unlock the true potential of machine learning algorithms, extract features from data, and to expand the application domain of artificial intelligence.
The need to adapt and incorporate the ever-growing field of AI and it’s technologies into current business practices is putting increasing pressure on industries to invest in their legacy systems. Supported by Intel’s AI Academy through their online and data processing resources, the skills you will learn can be applied to AI-enabled business strategies and marketing, management of database records, e-business technologies, IT system development and design, and IT project management.
This course is designed to build on the skills of computer scientists, software engineers, IT professionals or established professionals in the areas of computing, mathematics and/or data analysis, to improve and create better systems in their industries, expanding knowledge of machine learning and enabling technologies.
Businesses also have the opportunity to present students on this course with their real life problems through attending as a guest lecturer. We also encourage you to attend local meetings and lectures organised by the IET and BCS, some of which are hosted by our University. This exposes you to engineers from local industries and introduces you to 'what's hot' in technology, an advantage to being based in the centre of Cambridge with its Science and Business Park.
Cambridgeshire is home to companies that are looking for graduates with skills in machine learning and artificial intelligence techniques that our course will provide. We have chosen the modules for this course to ensure the curriculum reflects the modern trends in Artificial Intelligence. Each module gives you a glimpse into the workings of the IT industry and presents you with topics that prepare you for entering the job market.
Following this course you may wish to apply your skills in a variety of job roles where there is a need for AI-enabled business strategies and marketing, management of database records, e-business technologies, IT system development and design or IT project management.
If you'd like to continue your studies in research or further education, Anglia Ruskin offers a wide range of full-time and part-time postgraduate research degrees including MPhil or/and PhD in Computer Science, or even a DProf in Science and Technology.
Throughout the course, we’ll use a range of assessment methods to measure your progress. You’ll complete exams, essays, research reports, oral presentations, and a dissertation on a subject of your choice.
The Faculty of Science & Engineering is one of the largest of the four faculties at Anglia Ruskin University. Whether you choose to study with us full-time or part-time, on campus or at a distance, there’s an option whatever your level – from a foundation degree, BSc, MSc, PhD or professional doctorate.
Whichever course you pick, you’ll gain the theory and practical skills needed to progress with confidence. Join us and you could find yourself learning in the very latest laboratories or on field trips or work placements with well-known and respected companies. You may even have the opportunity to study abroad.
Everything we do in the faculty has a singular purpose: to provide a world-class environment to create, share and advance knowledge in science, technology and engineering fields. This is key to all of our futures.
If you're a UK or EU student, you won't need to pay fees until you've accepted an offer to study with us – though you must pay your fees upfront, in full or in instalments.How to pay your fees directly
You can pay your fees upfront, in full or in two instalments. We will also ask you for a deposit of £4,000 or a sponsorship letter. Details will be in your offer letter.Paying your fees
It’s important to decide how to fund your course before applying. Use our finance guide for postgraduate students to learn more about postgraduate loans and other funding options.
We offer a fantastic range of ARU scholarships, which provide extra financial support while you're at university. Find out more about eligibility and how to apply.
Our published entry requirements are a guide only and our decision will be based on your overall suitability for the course as well as whether you meet the minimum entry requirements. Other equivalent qualifications may be accepted for entry to this course, please email email@example.com for further information.
We welcome applications from international and EU students, and accept a range of international qualifications.
If English is not your first language, you'll need to make sure you meet our English language requirements for postgraduate courses.
If you don't meet our English language requirements, we offer a range of courses which could help you achieve the level required for entry onto a degree course.
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