MSc
Data Science and Artificial Intelligence
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Why study MSc Data Science and Artificial Intelligence at Goldsmiths
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. Artificial intelligence can play a key role in understanding how this data can create positive change.
- 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 data 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.
Contact the department
If you have specific questions about the degree, contact V L Raju Chinthalapati.
Length
1 year full-time, 2-3 years part-time
Entry requirements
An undergraduate degree at 2:1 level or above in a subject such as computer science, mathematics, statistics, engineering, or quantitative subjects like economics/finance. You will require a level of mathematical dexterity that is commensurate with having completed a numerate degree.
Fees
Home - full-time: £13600
Home - part-time: £6800
International - full-time: £24350
Department
Data Science option
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.
What you'll study
You will study the following modules:
| Module title | Credits |
|---|---|
| Data Programming | 15 credits |
| Machine Learning | 15 credits |
| Artificial Intelligence | 15 credits |
| Big Data Analysis | 15 credits |
| Neural Networks | 15 credits |
| Final Project in Data Science | 60 credits |
Note about optional modules (if available): The above is indicative of the typical modules offered, but is not intended to be construed or relied on as a definitive list of what might be available in any given year. The module content and availability is subject to change.
Teaching and assessment
Taught sessions and lectures provide overviews of themes, which you are encouraged to complement with intensive reading for presentation and discussion with your peers at seminars. Assessments build on lectures and seminars so you are expected to attend all taught sessions to build your knowledge and understanding of your chosen discipline.
All assessed work is accompanied by some form of feedback to ensure that your work is on the right track. It may come in a variety of forms ranging from written comments on a marked essay to oral and written feedback on developing projects and practice as they attend workshops.
Entry requirements
You'll gain a strong foundation in data science and specialist knowledge in a particular field. We do not assume that you will have programmed before, but we do require a level of mathematical dexterity that is commensurate with having completed a numerate degree.
You'll have a BA or BSc Degree at 2.1 level or above in a subject such as computer science, mathematics, statistics, engineering, or quantitative subjects like economics and 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.
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 2025/2026 academic year.
- Home - full-time: £13600
- Home - part-time: £6800
- International - full-time: £24350
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
MSc Data Science Pathways Scholarships - we offer a number of partial tuition fee waivers for new full-time MSc Data Science students.
Explore the Goldsmiths scholarships finder to find out what other 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.
Facilities
Facilities include a Big Data Management & Analytics dedicated cluster of servers based on some of the most recent Xeon processors and fast RAM, and lab workstations, providing access to software platforms and languages specialised in Machine Learning, Data Mining, Statistical Analysis, and Big Data including:
- R
- IBM SPSS
- SAS
- Python
- Apache Hadoop ecosystem
- NoSQL databases as MongoDB
- Apache Spark
- Apache Storm
- RapidMiner
- Tableau
We have a large and up-to-date collection of resources on the topic available to borrow from Goldsmiths' Library.
Careers
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 organisations 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.
Industry focused
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 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 have taken up wide variety of roles across many organisations.
