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MSc in Artificial Intelligence (AI)

Master in AI with Essex University and TWI Ltd

Starting in October 2021, this full-time Artificial Intelligence, UK programme takes place at NSIRC, TWI Headquarters, Cambridge.

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What is Artificial Intelligence?

This postgraduate course takes place within industry at TWI in Cambridge and centre on connecting artificial intelligence (AI) research with real-world industrial applications, including business AI, financial applications, games, biological sciences and medicine.

Within this AI MSc, students will build skills and knowledge of the theory, design, application, and development of AI in biologically, socially and linguistically motivated computational models.



Cambridge location

Course outline

Teaching and assessment

Career path and entry requirements

How to apply

Programme summery

This Cambridge masters course examines the current literature, industrial and practical aspects of artificial intelligence, focusing on:

  • Genetic algorithms
  • Evolutionary programming
  • Fuzzy systems
  • Neural networks
  • Connectionist systems
  • Hybrid intelligent systems


The University of Essex is considered by many as one of the best universities for artificial intelligence technology research and development. 

Being a computer scientist today means being a creative person who is methodical and meticulous but dynamic and adaptable. 

Specialist facilities

Students based at TWI with NSIRC have access to facilities and an experience that cannot be found at university along, operating and conducting experiments within an industrial environment alongside academics and experts from industry.

Essex Uni is a leading UK school of computer science and electronic engineering, with high tech, extensive facilities. Research is underpinned by comprehensive facilities of networked computers and software aids, alongside a variety of test and instrumentation equipment.


Complementing the unique facilities at TWI, students will access to the six laboratories on the main Essex campus, only accessible to students of the computer science and electronic engineering programmes. Several of these labs can be accessed 24/7, and students can access all labs apart from when a class is in session.

There are also a number of expert facilities that examine non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors.

All computers at Essex operate either Windows 10 or are dual boot with Linux. Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project. Students are granted access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET).

Student based within Industry at TWI in Cambridge

This course will be based at TWI, the world-renowned research and development centre of global industry, in Cambridge UK. This experience will enrich the programme with students gaining access to specialist facilities, equipment and industrial expertise not accessible to standard university programmes.

Set within the village of Great Abington, Cambridge, on Granta Park, the TWI headquarters is home to over 600 members of expert staff, alongside over £100m of specialist R&D equipment that conducts industrial research 24/7, 365 days a year. The industrial sectors included in TWI research include Energy, Defence, Aerospace, Marine, Automotive, Electrical and Sensors, Medical Equipment and more. 


Outline of the Artificial Intelligence programme

The AI programme combines compulsory modules and ones that are optional. This allows students the opportunity to follow their own ambitions, skills and interests. You can find an example of what is currently on offer for next academic year via the modules listed below. Our Programme Specification provides further details of the course structure for the current academic year.

Course duration: 1 year

Teaching with Essex is research-led and continuously evolving to keep the pace and lead through challenges and breakthroughs. Combining with TWI and their industry expertise, allows content to be taught and considered from the needs of Enterprise. This keeps and insures course relevance, define the structure of core modules and makes them adaptable.

Read the modules list

Programmes of study: Group, individual projects and dissertation

  • Data Mining, Artificial Intelligence and Machine Learning
  • Professional Practice and Research Methodology
  • Group Project
  • Intelligent Systems and Robotics
  • Game Artificial Intelligence (optional)
  • Natural Language Engineering (optional)
  • Neural Networks and Deep Learning
  • Creating and Growing a New Business Venture (optional)
  • Computational Models in Economics and Finance (optional)
  • Text Analytics (optional)
  • Data Science and Decision Making (optional)


Teaching and assessment on the AI programme

  • AI graduates gain a full understanding of the skills and knowledge related to the theory, techniques and applications involved in computer science
  • Combining core module teaching with optional modules allows students to specialise on their interest or field of expertise
  • NSIRC and Essex support postgraduates to attend industry and academic conferences and seminars. By being at TWI, students will have the opportunity to attend events led by TWI that take place onsite or online. These events are usually only open to TWI and it's members, and offer real insight into the future of artificial intelligence within industry. Such events in the annual Digital Manufacturing Conference, with speakers from Ford and Vodaphone 5G.


Courses are assessed on the results of your written examinations, together with continual assessments of your practical work and coursework.


Through a chosen research project, students will conduct an in-depth on a chosen topic from April. Supervision will be given by faculty staff.

University of Essex expertise

Essex brings to NSIRC staff with experience across a variety of fields, including materials science, semiconductor device physics, the theory of computation, philosophy of computer science and many more. Many of the research groups are based at laboratories offering world-class facilities and equipment. They have an outstanding external research funding portfolio in excess of £4 million and are engaged in several current EU initiatives.

Areas of Essex Uni excellence:

  • Evolutionary computation
  • Brain-computer interfacing
  • Intelligent inhabited environments
  • Financial forecasting

Why we think this is the best artificial intelligence masters in Europe:

  • Examining the connections between artificial intelligence and real-world applications across a variety of fields and industries.
  • Partnership with TWI, globally renowned research and development centre, with over 800 staff around the world, whose members include Ford, Roll-Royce, BEA Systems, EDF, Aramco and ADNOC to name a few.
  • Develop in-depth skills and knowledge of theory fundamental to artificial intelligence
  • Essex has a respected employability and careers centre available to all students for career planning and advice
  • THE Awards 2018 - Winner University of the Year


Career path

This programme is suited to those wishing to work in careers designing intelligent software – in banks and businesses designing prediction systems, for computer games companies designing adaptive games (of which Cambridge is a game development hotspot), in pharmaceutical companies designing intelligent systems, as well as energy, mining and other heavy industries designing control systems. Graduates from our Essex based course have advanced various senior positions in industry and academia. Our graduates have gone on to be employed in businesses around the world including:

  • Pfizer Pharmaceuticals
  • Visa International
  • Electronic Data Systems
  • Bank of Mexico
  • Hyperknowledge (Cambridge)
  • Hellenic Air Force
  • ICSS (Beijing)
  • United Microelectronic Corporation (Taiwan)

Entry requirements

UK entry requirements

A 2.2 degree, or international equivalent, in: Computer Science; Computer Engineering; Computer Networks; Computer Games; Computing; Software Engineering, Electronic Engineering; Electrical Engineering; Telecommunication Engineering; Information Engineering; Automation; Mechatronic Engineering; Mathematics or Physics.

Graduates of Computer Science; Computer Engineering; Computer Networks; Computer Games; Computing; Software Engineering must have studied :

  • ONE programming module (e.g. C, C#, C++, Java, Python, Object Oriented Programming, Advanced Programming)
  • ONE maths module (e.g.Mathematics; Calculus; Algebra; Differential Equations)
  • ONE other computing-related module (e.g. Database, Web development, Software engineering, Operating system, Computer architecture; Computer systems etc.)

Graduates of Electronic Engineering; Electrical Engineering; Telecommunication Engineering; Automation; Mechatronic Engineering; Mathematics; Physics must have studied:

  • ONE programming module (e.g. C, C#, C++, Java, Python, Object Oriented Programming, Advanced Programming)
  • ONE maths module (e.g.Mathematics; Calculus; Algebra; Differential Equations)
  • ONE other math module (e.g. Mathematics, Calculus, Algebra, Differential Equations, Probability and statistics, Signals and systems, Control theory, Control systems, Computer systems, Embedded systems, Microprocessors)

International & EU entry requirements

English language requirements

We accept a wide range of qualifications from applicants studying in the EU and other countries. Get in touch with any questions you may have about the qualifications we accept. Remember to tell us about the qualifications you have already completed or are currently taking.

Home/UK fee


EU students commencing their course in the 2020-21 academic year will be liable for the Home/UK fee.


At the moment, we are currently not accepting applications from International students outside of the EU. However, we expect to change this for our summer 2021 cohort. More details to follow.


How to apply

To begin your application process, click on the link below and email

I want to study Artificial Intelligence


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