Skip to content

Artificial Intelligence MSc

  • Level(s) of Study: Postgraduate taught
  • Start Date(s): September 2023
  • Duration: One year full-time / Two years full-time with one year placement / Up to two and a half years part-time
  • Study Mode(s): Full-time / Part-time / Sandwich
  • Campus: Clifton Campus
  • Entry Requirements:
    More information

Introduction:

Over the next ten years artificial intelligence (AI) is expected to create new jobs, improve productivity, help tackle climate change and deliver better public services.  The UK government are also heavily investing in AI growth through its AI Sector Deal.

On this course you'll learn how to deploy, manage, and maintain AI technologies within the business value chain. You will gain the skills to work as part of an interdisciplinary team that include AI expert practitioners, who will be tasked with designing and developing systems that meet business requirements.

When you graduate you will  understand AI principles, concepts, techniques and methods in order to support the integration of fully developed AI technologies into existing information technology systems by adapting the existing systems to interface with the new technologies.

The course puts theory into practise through skills development relevant to the modern world, in particular, the industrial application of artificial intelligence. It offers skills development as an integral part of the curriculum and as preparation for the world of work. As well as practical skills necessary for the Computing professional, with emphasis on design and development, students will develop transferable skills which will make them suitable for graduate employment in an ever-changing job market.

This courses is available to students with some prior knowledge of quantitative research methods and with experience of software engineering practice. For example graduates of the Q-step Social Sciences with Quantitative Methods undergraduate degree courses who may also have software development experience through previous work.

The year-long paid work placement is an important feature of the course. It is optional, but if chosen, it will give you a distinct advantage on graduating. We have an excellent placements office to provide support in finding a placement opportunity that is right for each student.

  • One year paid work placement option available.
  • No prior AI or Computer Science knowledge needed if you have software engineering and quantitative research experience.

Working with industry

Making our courses relevant to industry is at the heart of what we do. We are proud that the technology companies Xilinx and Sundance Microprocessor Technologies support this course and our students, including offering placement opporutnities.

  • Xilinx logo
  • Sundance Technology logo

What you’ll study

You will study six 20 credit point (cp) modules and complete a major project. Each module will be delivered over a ten-week period with the maximum of two modules studied at the same time.

Foundations of AI (20 cp)

During this module you will develop an understanding of the foundations of Artificial Intelligence, theoretical and practical approaches to problem solving, and the techniques for knowledge representation and pattern discovery in data for effective AI based solutions.

Software Engineering 1 (20 cp)

Develop the skills to produce efficient software solutions to practical problems whilst building your procedural programming skills.

Artificial Cognitive Systems (20 cp)

This module introduces Artificial Cognitive Systems (ACS) theory, design and implementation, bringing together cutting-edge, multi-disciplinary approaches from subject areas such as computer science, digital electronics and embedded systems, sensors, artificial intelligence and heterogeneous computing.

Fundamentals of Big Data and Infrastructure (20 cp)

This module introduces you to the processes, techniques and technologies businesses use to develop their infrastructure so they can manage Big Data and transform it into useful business intelligence. A number of key challenges faced by companies exploiting Big Data are also raised.

Applied AI (20 cp)

Study the main challenges of AI and Computational Intelligence and develop the skills to implement machine learning and data mining systems.

Research Methods (20 cp)

You will develop the skills necessary for effective research during this module. Explore our facilities to get familiar with the equipment and software available to you during your Major Project. You will also understand how to select projects, develop a project definition document and write reports and technical papers.

Major Project (60 cp)

Through design and development of an innovative solutions to a complex or technical problem you develop your skills to an advanced level and become a specialist in an area of your choice. You will produce a dissertation or technical research paper which is a substantial piece of work which you will work on under the supervision of a member of academics staff.

If you choose the part-time route you will study the modules are follows:

Year one

  • Term 1 - Foundations of AI (20 cp)
  • Term 2 - Artificial Cognitive Systems  (20 cp)
  • Term 3 - Applied AI  (20 cp)

Year two

  • Term 4 - Software Engineering 1  (20 cp)
  • Term 5 - Fundamentals of Big Data and Infrastructure  (20 cp)
  • Term 6 -  Research Methods  (20 cp)
  • Summer Term -  Major Project  (60 cp)

Video Gallery

Video Icon
 

How you’re taught

The postgraduate academic year is divided into three terms: term one has 10 weeks where you will study 40 credits; term two has 20 weeks where you will study 80 credits; and term three has 15 weeks. Those students who wish to continue on to the MSc will study 60 credits in term three.

The first two terms are spent studying the taught modules and the last term, pursuing an individual major project.

Study hours

Contact hours for a 20 cp modules are typically around 50 hours, with a further 150 hours expected from you for directed and independent study.

Assessment

Global Business Management is assessed by a combination of both coursework and examination.  All other modules are assessed by coursework, case studies and projects.

Staff Profiles

Pedro Machado

Lecturer

Science and Technology

Dr Machado is a Lecturer in Computer Science and Course Leader for MSc Artificial Intelligence. Please contact Dr Machado (pedro.machado@ntu.ac.uk) if you have questions regarding the MSc Artificial Intelligence course.

Salisu Yahaya

Lecturer

Computer Science

Neil Sculthorpe

Senior Lecturer

Computer Science

Dr Neil Sculthorpe is a Lecturer for the Computer Science undergraduate and postgraduate cluster of courses within the academic team of Computing and Technology.

Mufti Mahmud

Associate Professor

Department of Computer Science; Computing and Informatics Research Centre; Medical Technologies Innovation Facility

Dr Mahmud is an Associate Professor of Cognitive Computing at the Computer Science department of Nottingham Trent University.

David Adama

Lecturer

Computer Science

Philip Woodall

Senior Lecturer

Computer Science

Philip Woodall

Temitope Alade

Senior Lecturer

Computer Science

Dr Temitope Alade is a Senior Lecturer in Computer Science at the Department of Computer Science, School of Science and Technology, Nottingham Trent University. His research interests include modelling and…

Taha Osman

Principal Lecturer

Computer Science

Taha Osman

How you’re assessed

Coursework (100%)

Careers and employability

The course has been designed to be industry-fit with active engagement from local and regional commercial partners and will therefore develop your integral understanding of business processes, statistics, and key computer science concepts for AI and management. This will help students from a diversity of backgrounds to transition to fields where these technologies are already being applied in sectors such as retail, manufacturing, and entertainment, and there is significant potential for further uptake, for example in pharmaceuticals, education, and transport.

Some graduates choose to venture into other sectors and are equally successful in gaining employment because of the transferable skills gained on the course. Other graduates who enjoyed the extensive applied research element of the course and the work on the MSc project will go on to study a PhD.

Placement opportunities

NTU is one of the most employment-focused universities. Increasingly, employers want to recruit graduates who have real-world work experience. That’s why all of our courses, across every subject area, offer you a work experience opportunity. Our experts help build and support your future with a range of career programmes and events.

The school of Science and Technology will work closely with you to help find a placement and strengthen your CV and interview techniques. You'll be supported and assessed throughout your placement year and will write a reflective report and diary at the end of your placement. When you successfully complete your placement and submit your placement report, you will be eligible to receive an additional award of a Postgraduate Diploma in Professional Practice.

Please note that placements are not guaranteed and the process is competitive through an application and interview process.

Re:search Re:imagined

To us, research is about more than writing papers and proposing new ideas. By daring to think differently, we’re disrupting the research landscape and finding the answers to the questions that really matter. From conservation management to sustainable farming, we’re inspiring the brightest minds to rise up and find solutions to some of the most significant global challenges facing society.

Find out more

NTU Enterprise

You'll also have the opportunity to turn your ideas into a viable business with help from NTU Enterprise, NTU's purpose-built Centre for Entrepreneurship and Enterprise, a support centre to help students create, develop and grow their own businesses.

Campus and facilities

Based at the Clifton Campus, you will use our high-specification electronic and communication laboratories. More about our world-class facilities can be found here.

Entry requirements

What are we looking for?

  • Applicants should have a UK honours degree (2.2 minimum) or equivalent in a technical or scientific subject* (excluding students with an initial degree in AI or data sciences disciplines);
  • Applicants with relevant employment experience or other relevant qualifications will also be considered

*including, but is not limited to, sport science, biomedical sciences, environmental science, mathematics, statistics, economics, accounting, information systems, computer science, cybersecurity, software engineering and other engineering disciplines such as civil, mechanical, electronic, chemical, etc.

All prospective students who wish to apply via Recognition of Prior Learning should initially contact the central Admissions and Enquiries Team who will be able to support you through the process.

NTU may admit a student with advanced standing beyond the beginning of a course, through an assessment of that student's prior learning, whether it is certificated or uncertificated. Our Recognition of Prior Learning and Credit Transfer Policy outlines the process and options available to these prospective students, such as recognising experiential learning or transferring to a similar course at another institution, otherwise known as credit transfer.

Getting in touch

If you need any more help or information, please contact us at Ask NTU or call on +44 (0)115 848 4200.

You will need:

  • Applicants should have a UK honours degree (2.2 minimum) or equivalent in a technical or scientific subject* (excluding students with an initial degree in AI or data sciences disciplines);
  • Applicants with relevant employment experience or other relevant qualifications will also be considered

*including, but is not limited to, sport science, biomedical sciences, environmental science, mathematics, statistics, economics, accounting, information systems, computer science, cybersecurity, software engineering and other engineering disciplines such as civil, mechanical, electronic, chemical, etc.

International qualifications

We accept qualifications from all over the world – check yours here:

Postgraduate preparation courses (Pre-Masters)

If you don’t yet meet our entry requirements, we offer Pre-Masters courses through our partner Nottingham Trent International College (NTIC), based on our City Campus:

English language entry requirements

You can meet our language requirements by successfully completing our pre-sessional English course for an agreed length of time, or by submitting the required grade in one of our accepted English language tests, such as IELTS:

Would you like some advice on your study plans?

Our international teams are highly experienced in answering queries from students all over the world. We also have members of staff based in Vietnam, China, India and Nigeria and work with a worldwide network of education counsellors.

Fees and funding

Course fees for January 2022 entry are:

Study routeUKInternational / EU
Full-time£8,500£15,500
Full-time with placement year£8,500 + £1,385£15,500 + £1,385
Part-time£4,250£7,750*

Course fees for September 2022 and January 2023 entry are:

Study routeUKInternational / EU
Full-time£8,800£15,850
Full-time with placement year£8,800 + £1,385£15,850 + £1,385
Part-time£4,400£7,925*

*For part-time study please check your student visa regulations.

Please note that if you are considering a course that runs over more than one year, the tuition fee stated is for the first year of study. The course fee for the second year may be subject to annual review.

Funding your studies

Preparing for the financial side of student life is important, but there’s no need to feel anxious and confused about it. We hope that our fees and living costs page and our funding page will answer all your questions.

Scholarships

You might be able to get a scholarship to help fund your studies. We award scholarships to those students who can demonstrate excellent achievement, passion and dedication to their studies.

Alumni discount

We’re happy to be able to offer a 20% alumni discount to most current NTU students and recent NTU alumni. This discount is currently available for those starting an eligible postgraduate taught, postgraduate research or professional course.

Getting in touch

For more advice and guidance, you can contact our Student Financial Support Service on: +44 (0)115 848 2494. For scholarship help please contact us on: +44 (0)115 848 4460.

Course fees for January 2022 entry are:

Study routeUKInternational / EU
Full-time£8,500£15,500
Full-time with placement year£8,500 + £1,385£15,500 + £1,385
Part-time£4,250£7,750*

Course fees for September 2022 and January 2023 entry are:

Study routeUKInternational / EU
Full-time£8,800£15,850
Full-time with placement year£8,800 + £1,385£15,850 + £1,385
Part-time£4,400£7,925*

*For part-time study please check your student visa regulations.

Tuition fees are payable for each year that you are at the University. The level of tuition fees for the second and subsequent years of your postgraduate course may increase in line with inflation and as specified by the UK government.

Scholarships

We offer scholarships of up to 50% of your tuition fee. You can apply for your scholarship when you have an offer to study at NTU.

Living costs

Get advice on the cost of living as an international student in Nottingham and how to budget:

Paying fees

Find out about advanced payments, instalment plan options and how to make payments securely to the University:

Would you like some advice on your study plans?

Our international teams are highly experienced in answering queries from students all over the world. We also have members of staff based in Vietnam, China, India and Nigeria and work with a worldwide network of education counsellors.

How to apply

Ready to join us? Then apply as soon as you can. Just click the Apply button at the top of the page and follow the instructions for applying. Make sure you check the entry requirements above carefully before you do.

You can get more information and advice about applying to NTU in our postgraduates' guide. Here you'll find advice about how to write a good personal statement and much more.

Writing your application

Be honest, thorough and persuasive in your application. Remember, we can only make a decision based on what you tell us. Make sure you include as much information as possible, including uploading evidence of results already achieved, as well as a personal statement.

Keeping up to date

After you’ve applied, we’ll be sending you important emails throughout the application process - so check your emails regularly, including your junk mail folder.

Getting in touch

If you need any more help or information, please contact us at Ask NTU or call on +44 (0)115 848 4200.

Apply online through our NTU applicant portal.

Application advice

Apply early so that you have enough time to prepare – processing times for Student visas can vary, for example.  After you've applied, we'll be sending you important emails throughout the application process – so check your emails regularly, including your junk mail folder.

Writing your personal statement

Be honest, thorough, and persuasive – we can only make a decision about your application based on what you tell us:

Would you like some advice on your study plans?

Our international teams are highly experienced in answering queries from students all over the world. We also have members of staff based in Vietnam, China, India and Nigeria and work with a worldwide network of education counsellors.

The University's commitment to delivering the educational services advertised

More from Department of Computer Science