Course information




1 year full-time, 2-3 years part-time

Course overview

The MSc Data Science and Artificial Intelligence will provide you with a deep understanding of cutting-edge Artificial Intelligence techniques and the practical skills to implement data analytics using AI.

The rate at which we can create data is rapidly accelerating. Ranging from biomedical data to monitoring climate change, this sector has never been more important. The pace at which we produce data is rapidly outstripping our ability to analyse and use it. These enormous quantities of data hold the keys to success across many domains, and artificial intelligence can play a key role in understanding how this data can create positive change.

Why study MSc Data Science and Artificial Intelligence

  • The MSc Data Science and Artificial Intelligence will provide you with statistical, computational, and data analysis skills.
  • We’ll explore the exciting possibilities that artificial intelligence can have on the area of data science and analysis.
  • You’ll be grounded in the basics, learning the mathematical foundations of statistics, data mining and machine learning, and apply these to practical, real-world data.
  • You’ll gain the computational techniques needed to efficiently analyse very large rata sets.
  • You’ll apply Natural Language Processing and Deep Learning methods to a range of real-world data.
  • You’ll learn under the guidance of experts in health analytics, neuroscience, finance, business, and management.
  • This degree is interdisciplinary and you’ll benefit from the expertise of both the Department of Computing and Institute of Management Studies to learn skills in computer science, mathematics, economics, finance, business, and marketing.
  • We have strong links with industry, and you’ll regularly learn from guest speakers across the Data Science sector.
  • You’ll use industry-standard software such as Apache, Hadoop, R and Spark to analyse data from industries such as biomedical, financial, and social media.
  • Your learning will be put to the test with a final project in your area of specialist interest. You’ll carry out original research on real-world data.


As well as MSc Data Science and Artificial Intelligence, we offer a general Data Science pathway:

In collaboration with Goldsmiths Institute of Management Studies, you’ll learn the skills to become the next generation of data science experts in sectors ranging from healthcare to business.

Contact the department

If you have specific questions about the degree, contact V L Raju Chinthalapati.

What you'll study

Compulsory modules

You'll take the following compulsory modules:

Module title Credits
Machine Learning 15 credits
Artificial Intelligence 15 credits
Neural Networks 15 credits
Final Project in Data Science 60 credits

Optional modules

You'll then take two optional modules to the value of 30 credits. Optional modules across the Institute of Management Studies and Department of Computing change annually, and recent examples have included:

Module title Credits
Blockchain Programming 15 credits
Econometrics 15 credits
From National Statistics to Big Data 15 credits
Advanced Econometrics 15 credits
Marketing Strategy 15 credits
Marketing Analytics 15 credits
Digital Marketing and Branding 15 Credits
R Programming 15 credits

Download the programme specification.

Please note that due to staff research commitments not all of these modules may be available every year.

Entry requirements

You’ll gain a strong foundation in data science and specialist knowledge in a particular field. We do not assume that you’ll have programmed before, but we do require a level of mathematical dexterity that is commensurate with having completed a numerate degree.

A BA or BSc Degree at 2.1 level or above in a subject like computer science, mathematics, statistics, engineering, or quantitative subjects like economics/finance.

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.

Fees, funding & scholarships

Annual tuition fees

These are the fees for students starting their programme in the 2024/2025 academic year.

  • Home - full-time: £12520
  • Home - part-time: £6260
  • International - full-time: £20460

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.

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.

Funding opportunities

Find out more about postgraduate fees and explore funding opportunities. If you're applying for funding, you may be subject to an application deadline.

How to apply

You 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
  • 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.


Prepare yourself for a career in data science

We carefully designed our data science programme to help you to become successful data science professionals. Core modules provide you with a solid grounding in the theory of big data, statistics, machine learning and the pathway domain. We train you on the latest methods and techniques across various modules so that you can be an important resource for different organizations as a data scientist and engineer. The programme provides you with the opportunity to learn the core techniques and further it enhances your learning through lab sessions. The lab sessions are going to help you to build hands-on experience on data science tools prior to your graduation.

The learning outcomes of all modules are in line with the fundamentals and current trends of data science and what exactly employers need and want. Each module provides you with hands-on experience of real-world applications, analysing data sets such as social media, biomedical data and financial data while working with industry-standard software tools. Our Industry Advisory Board (IAB) has experts from industry who can guide us from time to time on the industry requirements. Most of the data science programme faculty have worked with industry for many years. The teaching for the data science pathways is always in line with the current trends and technologies of data science. Moreover, while doing your masters, you will have cutting-edge computing facilities for big data analysis and the opportunity to work with leading researchers towards your final projects.

With successful completion, our data science students can take up wide variety of roles across many organisations.

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