Data Science
Goldsmiths, University of London Campus, United Kingdom
MSc Data Science
Goldsmiths, University of London
Data Science
MSc Data Science at Goldsmiths, University of London
The MSc Data Science at Goldsmiths, University of London equips you with the technical and practical skills to analyse big data across business, digital media, and science. You will learn the mathematical foundations of statistics, data mining, and machine learning, and apply these to practical, real-world data sets.
Developed by the Department of Computing in collaboration with Goldsmiths' School of Creative Management, this programme trains the next generation of data science experts. Core modules provide a solid grounding in big data theory, statistics, and machine learning, while hands-on lab sessions ensure you build practical experience with industry-standard tools before graduation.
Data Science is one of the fastest-growing sectors of employment internationally, with big data playing an essential role in modern finance, retail, marketing, healthcare, and government. Upon completing this MSc, you will be prepared to take up a wide variety of data science roles across many organisations and sectors.
Key Programme Highlights
- Hands-on lab sessions using real-world data from social media, biomedical research, and financial markets
- Interdisciplinary collaboration between the Department of Computing and the School of Creative Management
- Access to dedicated Big Data Management and Analytics servers with cutting-edge hardware and specialised software
- Industry Advisory Board guiding curriculum to ensure teaching stays relevant and aligned with employer needs
Curriculum and Modules
The MSc Data Science curriculum is carefully designed to provide both foundational knowledge and specialised skills. Core modules cover the theory of big data, statistics, and machine learning, while optional modules allow you to tailor the programme to your career interests. The programme culminates in an independent final project where you conduct novel analysis on real-world data of your choice.
Statistical Data Mining
15 creditsCovers statistical foundations of data mining, including classification, clustering, and regression techniques applied to large-scale datasets.
Machine Learning
15 creditsIntroduces key machine learning algorithms and frameworks, with practical applications in supervised and unsupervised learning scenarios.
Big Data Management and Analytics
15 creditsFocuses on technologies and techniques for managing and analysing very large data sets, including distributed computing frameworks such as Hadoop.
Data Visualisation
15 creditsTeaches principles and tools for effective visual communication of data insights, enabling you to present complex findings clearly to diverse audiences.
Data Science Research Topics
15 creditsExposes you to current multidisciplinary research employing data science, with researchers from across the College presenting their work and inspiring potential final project directions.
Final Project
60 creditsAn independent research project where you apply your acquired skills to conduct a novel analysis of real-world data in an area of your specialist interest.
Elective Modules
Admission Requirements
The MSc Data Science programme welcomes applicants from a range of quantitative backgrounds. No prior programming experience is assumed, but a level of mathematical dexterity commensurate with a numerate degree is required. All applications are processed through Uni4Edu, your single point of contact for guidance and support throughout the process.
Academic Requirements
- Undergraduate DegreeBA or BSc at 2:2 standard or above (or international equivalent)
- Subject BackgroundComputer science, mathematics, statistics, engineering, or quantitative subjects such as economics and finance
- Mathematical AptitudeDemonstrated mathematical dexterity commensurate with a numerate degree
- Professional ExperienceIn exceptional circumstances, outstanding practitioners or individuals with strong commercial experience may be considered
- International QualificationsA wide range of international qualifications are accepted; contact Uni4Edu for country-specific equivalencies
English Language Requirements
- IELTSOverall score of 6.5, with no element lower than 6.0
- PTE AcademicEquivalent score accepted; contact Uni4Edu for details
- Other QualificationsEquivalent English language qualifications are accepted; pre-sessional English courses available
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
Goldsmiths, University of London offers several funding opportunities to support international students pursuing the MSc Data Science. From programme-specific fee waivers to prestigious national scholarships, there are multiple avenues to help finance your studies. Contact Uni4Edu for personalised guidance on eligibility and application procedures.
MSc Data Science Pathways Scholarship
Partial tuition fee waiverA number of partial tuition fee waivers are available specifically for new full-time MSc Data Science students. These awards are designed to reduce the financial burden and are allocated on a competitive basis.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Data Science is one of the fastest-growing sectors of employment internationally, and graduates of this programme are well-positioned to enter a thriving job market. The combination of statistical analysis, machine learning, and big data skills gained during the MSc opens doors to diverse career paths across technology, finance, healthcare, government, and more.
Potential Career Roles
Industries and Employers Hiring Data Scientists
Rankings and Recognition
Goldsmiths, University of London is a well-established institution with over 120 years of membership in the University of London. The university is recognised for its creative and interdisciplinary approach, with strong rankings in the arts and humanities, and a growing reputation in computing and data science education.
| Subject | Ranking Body | Rank |
|---|---|---|
| Communication and Media Studies | QS World University Rankings by Subject | #22 |
| Performing Arts | QS World University Rankings by Subject | #26 |
| Art and Design | QS World University Rankings by Subject | #37 |
| Computer Science and Information Systems | QS World University Rankings by Subject | Contact Uni4Edu for current data |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
Similar Programmes
Master's & Postgraduate
12 months
Data Science and its Applications (Medway), MSc
University of Greenwich, London, United Kingdom
Earliest Intake
September 2026
Gross Tuition
18150 £
Bachelor's Degree
36 months
Data Science\t
University of Kent, Canterbury, United Kingdom
Earliest Intake
October 2025
Gross Tuition
19300 £
Bachelor's Degree
48 months
Data Science with a Year in Industry\t
University of Kent, Canterbury, United Kingdom
Earliest Intake
October 2025
Gross Tuition
19300 £
Master's & Postgraduate
12 months
Business Data Analytics
Prifysgol Bangor University, Bangor, United Kingdom
Earliest Intake
May 2026
Gross Tuition
18000 £
Master's & Postgraduate
12 months
Advanced Data Science
Prifysgol Bangor University, Bangor, United Kingdom
Earliest Intake
May 2026
Gross Tuition
18000 £
Uni4Edu AI Assistant
