Artificial Intelligence MSc

This course is in clearing

Overview

Course options

Select year

MSc

Artificial Intelligence MSc, home applicant, full time

  • Home Applicant
  • Full time, 1/2 years
  • Pound 10800 per year. Year 2 Industrial Placement Fee - £3500

Artificial Intelligence MSc, international applicant, full time

  • International Applicant
  • Full time, 1/2 years
  • Pound 15960 per year. Year 2 Industrial Placement Fee - £3500

MSc with Placement Year

Artificial Intelligence MSc, home applicant, full time

  • Home Applicant
  • Full time, 1/2 years
  • Pound 10800 per year. Year 2 Industrial Placement Fee - £3500

Artificial Intelligence MSc, international applicant, full time

  • International Applicant
  • Full time, 1/2 years
  • Pound 15960 per year. Year 2 Industrial Placement Fee - £3500

MSc

Artificial Intelligence MSc, home applicant, full time

  • Home Applicant
  • Full time, 1/2 years
  • Pound 11340 per year. Year 2 Industrial Placement Fee - £3,500

Artificial Intelligence MSc, home applicant, part time

  • Home Applicant
  • Part time
  • Pound 1890 per 30 credit module

Artificial Intelligence MSc, international applicant, full time

  • International Applicant
  • Full time, 1/2 years
  • Pound 16740 per year. Year 2 Industrial Placement Fee - £3,500

MSc with Placement Year

Artificial Intelligence MSc, home applicant, full time

  • Home Applicant
  • Full time, 1/2 years
  • Pound 11340 per year. Year 2 Industrial Placement Fee - £3,500

Artificial Intelligence MSc, home applicant, part time

  • Home Applicant
  • Part time
  • Pound 1890 per 30 credit module

Artificial Intelligence MSc, international applicant, full time

  • International Applicant
  • Full time, 1/2 years
  • Pound 16740 per year. Year 2 Industrial Placement Fee - £3,500

What makes this course different

Enhanced knowledge

Integration of concepts, techniques and applications to enhance students' knowledge and skills in the intelligent systems' pipeline.

Practical experiences

Gain advanced theoretical and specialist practical knowledge of progressive and emerging topics and application areas ranging from computer vision to Fintech.

Innovative technology

Create innovative solutions through the integration of a range of standard and specialised Intelligent Systems, Machine Learning, and Deep learning tools/technologies

Course modules

You'll explore Intelligent Systems, Machine Learning, Deep Learning, and a wide range of application areas ranging from predicting modelling and decision making to fintech and computer vision. 

NOTE: Modules are subject to change. For those studying part time courses the modules may vary.

Download course specification

What we're researching

The University of East London is conducting top-notch research in the broader area of Artificial Intelligence (AI), ranging from Fintech to stock market prediction, to computer vision to inventing scalable intelligent algorithms to solve the large-scale big data problem.

According to Google Scholar's index, the University's AI research is attracting more than one scholarly citation per day globally. The University has strong research collaborations with other academic and industrial institutions; such as the University of Oxford, Queen Mary, University of Southampton, Accenture, Microsoft, and Amazon.

The department is producing cutting edge research in the areas including stock market prediction, insurance fraud detection, recommender systems, cyber security using AI, and neural networks.

Your future career

Studying the MSc Artificial Intelligence programme at the University of East London will provide graduates with a solid foundation for entering careers across a broad range of specialisms in machine learning, computing and IT.

Job roles

Career opportunities include:

  • Machine/Deep Learning Engineer
  • Machine/Deep Learning Scientist
  • Data Science Graduate Programme
  • Operational Data Scientist
  • Data Analyst (applied side)
  • Business Intelligence Developer
  • Big Data Software Engineer
  • Artificial Intelligence Architect
  • Machine Learning Architect
  • Machine Learning Specialist
  • AWS Engineer
  • Full Stack Software Developer
  • Spark Developer

Explore the different career options you can pursue with this degree and see the median salaries of the sector on our Career Coach portal.

Sowmiya Paneer Selvam at Ailaysa
The course modules on machine learning, natural language processing, and big data analysis have been particularly relevant. Additionally, UEL's emphasis on practical, hands-on learning has been incredibly beneficial. These experiences allowed me to apply theoretical knowledge to practical problems, which has been directly applicable to my work on the Text-To-Speech (TTS) applications.
Sowmiya Paneer Selvam

MSc Artificial intelligence

How we support your career ambitions

We offer dedicated careers support, and further opportunities to thrive, such as volunteering and industry networking. Our courses are created in collaboration with employers and industry to ensure they accurately reflect the real-life practices of your future career and provide you with the essential skills needed. You can focus on building interpersonal skills through group work and benefit from our investment in the latest cutting-edge technologies and facilities.

Career Zone

Our dedicated and award-winning team provide you with careers and employability resources, including:

  • Online jobs board for internships, placements, graduate opportunities, flexible part-time work.
  • Mentoring programmes for insight with industry experts 
  • 1-2-1 career coaching services Careers workshops and employer events 
  • Learning pathways to gain new skills and industry insight

Mental Wealth programme

Our Professional Fitness and Mental Wealth programme which issues you with a Careers Passport to track the skills you’ve mastered. Some of these are externally validated by corporations like Amazon and Microsoft.

Our Mental Wealth programme

We are careers first

Our teaching methods and geographical location put us right up top

  • Enterprise and Entrepreneurship support 
  • We are ranked 6th for graduate start-ups 
  • Networking and visits to leading organisations 
  • Support in starting a new business, freelancing and self-employment 
  • London on our doorstep

How you'll learn

The course is taught through a series of face-to-face lectures, workshops, and lab-based learning as a way of securing a knowledge base. It uses holistic, experiential, and self-directed learning approaches as the basis for adult learning, as well as a problem-based learning approach as a way of addressing the complexity of situations in the real world.

Guided independent study

When not attending timetabled lectures, you will be expected to continue learning independently through self-study. This will involve reading articles and books, watching videos, undertaking research, working on individual and group projects as well as preparation of essays, reports and presentations and production of major self-directed projects. Your independent learning is supported by a range of fantastic, industry-standard facilities.  You’ll also have access to online resources, the library and Moodle.

Academic support

Dr Mustansar Ali Ghazanfar is a senior lecturer in the Department of Computer Science and Digital Technologies (CS&DT). He is the course leader for MSc Artificial Intelligence. His main area of research includes recommender systems, predicting modelling, machine learning, deep learning, and data science. He has published more than 60 international conferences and journals. His research is receiving more than one citation per day as per Google Scholar with 1700+ citations and H-index = 22.

Dr Amin Karami has a solid background in machine learning and big data and his work has been appreciated around the world. He also led various special issues and conferences in the area of AI and big data.

Dedicated personal tutor

When you arrive, we'll introduce you to your personal tutor. This is the member of staff who will provide academic guidance, be a support throughout your time at UEL and who will show you how to make the best use of all the help and resources that we offer.

How you'll be assessed

All the learning outcomes of the programme are assessed through:

  • Laboratory session portfolios
  • Group and individual coursework
  • Research dissertation
  • Examination, presentations, and reports
  • Use of appropriate problem-solving skills

Campus and facilities

Docklands Campus, London, E16 2RD

What our staff and students say

Two computer screens displaying graphics and a male discussing about them
I am working for the UK Atomic Energy Authority and this course has helped me move to a more senior role within the organisation. I have a bright future.”

Muhammad Abdullah

Artificial Intelligence MSc