MSc Applied Artificial Intelligence
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Why study MSc Applied Artificial Intelligence at Goldsmiths
In a world increasingly influenced by Artificial Intelligence, this future-focused Master’s will equip you with the technical expertise and the practical skills required to design, build, and deploy responsible AI solutions.
- The MSc Applied Artificial Intelligence aims to equip you with both the critical theoretical knowledge and advanced practical skills necessary to navigate the rapidly evolving landscape of artificial intelligence.
- Your studies will focus on synthesising complex machine learning algorithms and designing sophisticated AI models to solve data-driven challenges in diverse real-world contexts.
- Beyond technical proficiency, you will develop a deep understanding of ethical dilemmas and societal impacts, ensuring you can evaluate AI systems against economic, environmental, and social criteria.
- Graduates of this programme will become practitioners who understand the entire lifecycle of AI—from data preprocessing and feature engineering to Machine Learning Operations and deployment strategies.
- We don't just teach you how to build neural networks and transformers; we teach you how to solve multifaceted real-world problems by dissecting stakeholder needs and formulating integrated strategies.
- Ultimately, the course aims to prepare you to communicate complex ideas effectively and drive innovation responsibly.
Contact
If you have specific questions about the degree, contact Dr Basel Barakat .
Length
1 year full-time; up to 4 years part-time This programme offers a September and January start.
Study mode
In-person
Entry requirements
A BSc Degree at level 2:1 in a science, technology, engineering, mathematical or other relevant quantitative subject or a BSc Degree at level 2:2 in a quantitative subject and at least 2 years of relevant professional experience.
Fees
Home - part-time: £5900
International - full-time: £22000
School
Subject
We are an Adobe Creative Campus. During your studies, you will be able to use Photoshop, Premiere Pro, Illustrator and more for free on your own devices.
What you'll study
You will study the following compulsory modules:
- AI Engine (30 credits)
- Machine Learning (30 credits)
- AI Brain (30 credits)
- Solving Problems with AI (30 credits)
- Final Project (60 credits)
Teaching and Assessment
Teaching will be via a range of formats to be as relevant as possible to the topic and learning outcomes.
This may include workshops, practical labs, lectures and seminars. You will complete a mix of in-person and online activities, designed to give you the best learning experience and to make the most out of your time on campus.
Facilities
In the School of Computing, we offer a great range of labs and facilities.
Entry requirements
You should have (or expect to be awarded) either:
- A BSc Degree at level 2:1 in a science, technology, engineering, mathematical or other relevant quantitative subject
- A BSc Degree at level 2:2 in a quantitative subject and at least 2 years of relevant professional experience
Non-standard entry criteria
If you do not have a quantitative background, we may accept applications from other disciplines, following the successful completion of a free primer that builds your skills in coding and maths. For these applications, we would expect you to have achieve either of the following:
- A BA or BSc Degree at level 2:1 or 2:2 with at least 2+ years of relevant work experience
- No degree, but 5+ years of relevant work experience
International qualifications
We accept a wide range of international qualifications. Find out more about the qualifications we accept from around the world.
If English isn’t your first language, you will need an IELTS score (or equivalent English language qualification) of 6.5 overall and no element lower than 6.0 to study this programme. If you need assistance with your English language, we offer a range of courses that can help prepare you for postgraduate-level study.
Careers
This programme equips you for high-demand, interdisciplinary careers spanning industry, research, and public sector roles, particularly those requiring ethical judgment, innovation, and the ability to translate technical solutions into real-world impact.
Potential Careers may be in the following industries:
- AI & Machine Learning as an ML Engineer, Data Scientist, AI Researcher, NLP Engineer, or Computer Vision Specialist
- Data & Analytics as a Data Analyst, Business Intelligence Developer, or Predictive Analytics Consultant
- Research & Academia as a Research Assistant, PhD Candidate, or AI Ethics Researcher
- Policy & Advisory as an AI Policy Advisor, Technology Consultant, or Ethics & Compliance Officer
- Software & Product Development as a Software Engineer, Systems Designer, or Product Manager for AI/ML products
- Social Impact & Non-Profit Tech as an AI for Social Good Specialist, Technology Inclusion Analyst, or Human-Centred AI Developer
How to apply
Apply directly to Goldsmiths using our online application system
Before submitting your application you’ll need to have:
- Details of your academic qualifications
- The email address of your referee who we can request a reference from, or alternatively a copy of your academic reference
- Copies of your educational transcripts or certificates
- A personal statement – this can either be uploaded as a Word Document or PDF, or completed online. Please see our guidance on writing a postgraduate statement
You'll be able to save your progress at any point and return to your application by logging in using your username/email and password.
Find out more about applying.
Fees and funding
Annual tuition fees
These are the PG fees for students starting their programme in the 2026/2027 academic year.
- Home - part-time: £5900
- International - full-time: £22000
If your fees are not listed here, please check our postgraduate fees guidance or contact the Fees Office, who can also advise you about how to pay your fees.
It’s not currently possible for international students to study part-time under a student visa. If you think you might be eligible to study part-time while being on another visa type, please contact our Admissions Team for more information.
If you are looking to pay your fees please see our guide to making a payment.
Funding opportunities
Explore the Goldsmiths scholarships finder to find out what funding you may be eligible for.
Paying your fees
Find out about paying your tuition fees.
If you are a UK student you may be eligible for a postgraduate loan.
Meanwhile our Careers Service can also offer advice on finding work during your studies.
Additional costs
In addition to your tuition fees, you'll be responsible for any additional costs associated with your course, such as buying stationery and paying for photocopying. You can find out more about what you need to budget for on our study costs page.
There may also be specific additional costs associated with your programme. This can include things like paying for field trips or specialist materials for your assignments. Please check the programme specification for more information.
