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Artificial Intelligence (Conversion) MSc *
* This course is subject to approval

Part of: Computer and Data Science

This MSc opens the door to a high-impact career enhanced by artificial intelligence. Designed for students from non-STEM backgrounds, our conversion programme equips you with the skills to confidently step into the world of AI. You’ll explore key areas like Deep Learning, Neural Networks, and Ethical AI, while gaining hands-on experience with the latest industry tools. From building smart applications to analysing data and designing responsible AI solutions, you’ll graduate with the expertise to thrive as an AI Specialist—ready to drive innovation across a range of industries.

  • Build future-proof skills. Develop core knowledge in programming, machine learning, and data analysis—then apply it through real-world projects. 
  • Work with cutting-edge tools. Learn using the same technologies driving innovation in our leading research Centre for Multimodal AI. 
  • Study at a top-ranked university. Queen Mary is ranked in the Top 100 globally for Data Science and AI (QS World University Rankings by Subject 2025), underpinning it as a hub for AI excellence. 
  • Launch a high-growth career. Graduate ready for in-demand roles like AI Specialist, Machine Learning Engineer, or Data Analyst. 
  • Check out our FAQ page here: MSc Artificial Intelligence (Conversion) FAQs

Study options

Starting in
January 2026
Location
Mile End
Fees
Home: £12,850
Overseas: £33,500
EU/EEA/Swiss students
UnavailableRegister your interest
See our application guidance

What you'll study

Throughout the programme, you’ll build a strong foundation in programming, machine learning, and data analysis—supported by expert teaching and hands-on learning across essential AI topics. With carefully tailored content and dedicated support, we’ve created a learning experience that makes complex concepts accessible. 

You’ll start by developing core coding skills through Python programming for AI—no prior experience required. Modules in data analytics and statistics will build your confidence in handling, visualising, and interpreting data, providing the analytical backbone for more advanced AI work. Alongside technical training, you’ll engage with the ethical and societal implications of AI, learning how to create responsible and trustworthy AI solutions. 

As the programme progresses, you’ll delve into key areas such as machine learning, deep learning, and neural networks, gaining practical expertise in advanced models used in real-world applications like image and speech recognition. You’ll also explore how AI is transforming industries, helping you identify where your skills can have the most impact. 

Throughout the programme, regular lab sessions, tutorials, and applied exercises will ensure that theory is continually reinforced by practice. You’ll put your skills to the test through real-world use cases and a final MSc project applying AI to an area of your choosing, giving you the opportunity to specialise, innovate, and showcase your capabilities. 

Structure

Modules for this programme will be approved in the coming weeks.

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Assessment

  • 67% Modules
  • 33% Research project
  • Modules are assessed through a combination of coursework and written examinations. 
  • You will undertake a large project where you will demonstrate AI skills in an applied scenario. 

Teaching

  • This programme has been developed and is taught by experts in their fields.  
  • Teaching for all modules includes a combination of lectures, seminars practical labs and a virtual learning environment. 
  • You will be assigned an Academic Advisor who will guide you in both academic and pastoral matters throughout your time at Queen Mary 

Where you'll learn

Facilities

The School has excellent bespoke facilities, including: 

  • Dedicated Postgraduate Teaching Labs 
  • Augmented Human Interaction (AHI) Laboratory 
  • Computer Clusters  
  • qMedia and Arts Technology Studios (Performance lab, control room, listening/recording room)

About the School

School of Electronic Engineering and Computer Science

The School of Electronic Engineering and Computer Science carries out world-class research – and applies it to real-world problems. Being taught by someone who is changing the world with their ideas makes for exciting lectures, and helps you to stay ahead of the curve in your field. 99 per cent of our research is classed as ‘world-leading’ or ‘internationally excellent’ (REF 2021).

We are proud of our excellent student-staff relations, and our diverse student body, made up of learners from more than 60 countries.

The School has a close-knit student community, who take part in competitions and extracurricular lab activities.

Contact us

School of Electronic Engineering and Computer Science

Career paths

Artificial intelligence continues to be one of the fastest-growing fields in the global economy, with significant demand for skilled professionals. A recent report from the Department for Culture, Media and Sport highlights over 110,000 vacancies in AI and data science roles, with the majority of organisations struggling to recruit talent. This MSc is designed to address that critical skills gap, empowering graduates from non-STEM backgrounds to step confidently into high-growth careers.

With the UK government investing heavily in AI infrastructure and conversion course funding, graduates will be entering a high-demand job market both in the UK and internationally. Practical AI expertise is increasingly valued by employers, with recent research from the Oxford Internet Institute showing that AI skills attract a 23% wage premium rising to 36% in science, engineering, and tech roles. This is notably higher than the wage premium associated with formal qualifications such as Master’s degrees (13%) and even PhDs (33%).

Queen Mary Careers and Enterprise offers a range of tailored support and resources for current students and recent graduates, from refining your CV and exploring your options, to finding part time roles, work experience and graduate opportunities.

Fees and funding

Full-time study

January 2026 | 1 year

Conditional deposit

Home: £2000

Overseas: £2000
Information about deposits

Queen Mary alumni can get a £1000, 10% or 20% discount on their fees depending on the programme of study. Find out more about the Alumni Loyalty Award

Funding

There are a number of ways you can fund your postgraduate degree.

Our Advice and Counselling service offers specialist support on financial issues, which you can access as soon as you apply for a place at Queen Mary. Before you apply, you can access our funding guides and advice on managing your money:

Entry requirements

UK

Degree requirements

A 2:1 or above at undergraduate level in a degree not related to Computer Science, Software Engineering, Information Technology or Electronic Engineering.

Find out more about how to apply for our postgraduate taught courses.

International

English language requirements

The English language requirements for our programmes are indicated by English bands, and therefore the specific test and score acceptable is based on the band assigned to the academic department within which your chosen course of study is administered. Note that for some academic departments there are programmes with non-standard English language requirements.

The English Language requirements for entry to postgraduate taught and research programmes in the School of Electronic Engineering and Computer Science falls within the following English band:

Band 4: IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and Speaking

We accept a range of English tests and qualifications categorised in our English bands for you to demonstrate your level of English Language proficiency. See all accepted English tests that we deem equivalent to these IELTS scores.

Visas and immigration

Find out how to apply for a student visa.

Contact

School of Electronic Engineering and Computer Science

Postgraduate Admissions

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