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Fees and Funding

Here's the fees and funding information for each year of this course


This programme is designed for those who want to pursue a career in Artificial Intelligence (specialising in machine learning and deep learning), developing smart and insightful software agents/algorithms that can help business decision making and strategic planning for any organisation.

The programme provides students with deeper knowledge and advanced skills that will allow them to contribute to the development and design of machine learning automation and predictive modelling.

The programme uses a series of face-to-face lectures, workshops and lab-based learning as a way of securing a knowledge base; whereas other teaching methods, practical sessions, seminars and reflection of work-based practice to enforce learning and professional skills are also used.

What makes this course different

Two people looking at a screen

Enhanced knowledge

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

Student in front of a computer screen

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



  • Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of emerging technologies in intelligent agents, machine learning, and deep learning.
  • Knowledge and understanding of contemporary tools and technologies to produce solutions relevant to the domain of artificial intelligence to meet a set of agreed requirements.

Thinking skills

  • Demonstrate innovative independent thinking, critical investigation, and analytical skills in the real-world problems related to artificial intelligence.

Subject-Based Practical skills

  • Analyse, interpret, synthesise and evaluate design methods and alternative solutions for a given problem in the diverse fields of finance, medical, and technology domain.
  • Identification and implementation of appropriate intelligent algorithms.
  • Hands on experience in algorithm design using state-of-the-art programming languages.

Skills for life and work (general skills)

  • Structure and communicate ideas effectively, both orally and in writing.
  • Work professionally as an individual and as a team player to develop creative solutions to problems.




Intelligent Systems, Machine Learning, Deep Learning, and a wider range of application areas ranging from predicting modelling to decision making to fintech to computer vision. 

Dr Mustansar Ali Ghazanfar is an emerging scientist in the field of AI with 50+ international articles, h-index = 11, and citation count of more than 700 in Google Scholar. 

Dr Julie Wall is leading an Innovate UK grant in collaboration with Intelligent Voice to transform accountancy, insurance and legal services using AI and data analytics (value £473,000, subject to contract). 

Dr Amin Karami has 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.


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


Docklands Campus

Docklands Campus, Docklands Campus, London, E16 2RD


The teaching team includes qualified academics, practitioners and industry experts as guest speakers. Full details of the academics will be provided in the student handbook and module guides.

Mustansar Ali Ghazanfar

Dr Mustansar Ali Ghazanfar is a lecturer in the Department of Computer Science and Digital Technologies and is the MSc Artificial Intelligence course lead.

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Dr Julie Wall

Reader in Computer Science, Intelligent Systems Research Group

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Amin Karami

Dr Amin Karami is a Senior Lecturer in the Department of Computer Science and Digital Technologies (CS&DT).

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Dr S. Ali Ghorashi

Dr Ghorashi is a Senior Lecturer at the Department of Computer Science & Digital Technologies, School of Architecture, Computing, and Engineering.

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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.


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  including:

  • 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.