# Advanced Data Science MSc
**Source**: https://www.ncl.ac.uk/postgraduate/degrees/5395f/
**Parent**: https://www.ncl.ac.uk/postgraduate/degrees/
[Postgraduate Study](https://www.ncl.ac.uk/postgraduate/)
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Postgraduate Study
- [Who we Are](https://www.ncl.ac.uk/who-we-are/)
[Who we Are](https://www.ncl.ac.uk/who-we-are/)
- [Excellence and impact](https://www.ncl.ac.uk/who-we-are/excellence-impact/)
- [Research Excellence](https://www.ncl.ac.uk/who-we-are/excellence-impact/research-excellence/)
- [Teaching and Student Experience](https://www.ncl.ac.uk/who-we-are/excellence-impact/teaching-and-experience/)
- [Graduate Employability](https://www.ncl.ac.uk/who-we-are/excellence-impact/employability/)
- [League Tables and Rankings](https://www.ncl.ac.uk/who-we-are/excellence-impact/rankings/)
- [Our Strengths](https://www.ncl.ac.uk/who-we-are/excellence-impact/strengths/)
- [Engagement and Place](https://www.ncl.ac.uk/who-we-are/excellence-impact/engagement/)
- [Research Strategy](https://www.ncl.ac.uk/who-we-are/excellence-impact/research-strategy/)
- [Education Strategy](https://www.ncl.ac.uk/who-we-are/excellence-impact/education-strategy/)
- [Social and Environmental Justice](https://www.ncl.ac.uk/who-we-are/social-environmental-justice/)
- [Social Justice](https://www.ncl.ac.uk/who-we-are/social-environmental-justice/social-justice/)
- [Sustainability](https://www.ncl.ac.uk/sustainability/)
- [University of Sanctuary](https://www.ncl.ac.uk/who-we-are/social-environmental-justice/sanctuary/)
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- [Newcastle Campus](https://www.ncl.ac.uk/who-we-are/our-campuses/newcastle-campus/)
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- [Structure and Governance](https://www.ncl.ac.uk/who-we-are/structure/)
- [Transparency](https://www.ncl.ac.uk/who-we-are/structure/transparency/)
- [Office for Students Transparency Data](https://www.ncl.ac.uk/who-we-are/structure/transparency-information/)
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[Study with Us](https://www.ncl.ac.uk/study/)
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- [Applications and Offers](https://www.ncl.ac.uk/undergraduate/applications-offers/)
- [Undergraduate Application Advice](https://www.ncl.ac.uk/undergraduate/applications-offers/application-advice/)
- [Step-by-Step Guide for UK Students](https://www.ncl.ac.uk/undergraduate/applications-offers/uk-students/)
- [Step-by-Step Guide for International and EU Students](https://www.ncl.ac.uk/undergraduate/applications-offers/international/)
- [Applying through UCAS](https://www.ncl.ac.uk/undergraduate/applications-offers/ucas/)
- [Entry Requirements](https://www.ncl.ac.uk/undergraduate/applications-offers/entry-requirements/)
- [A and AS Levels](https://www.ncl.ac.uk/undergraduate/applications-offers/entry-requirements/a-levels/)
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- [PARTNERS](https://www.ncl.ac.uk/partners/)
- [Policies and Procedures](https://www.ncl.ac.uk/undergraduate/applications-offers/policies/)
- [Applicants with Disabilities](https://www.ncl.ac.uk/undergraduate/applications-offers/disabilities/)
- [Mature Applicants](#)
- [Deferred Entry](https://www.ncl.ac.uk/undergraduate/applications-offers/deferred-entry/)
- [Fees and Funding](https://www.ncl.ac.uk/undergraduate/fees-funding/)
- [Scholarships and Bursaries](https://www.ncl.ac.uk/undergraduate/fees-funding/scholarships-bursaries/)
- [Vice-Chancellor's Excellence Scholarships](https://www.ncl.ac.uk/undergraduate/fees-funding/scholarships-bursaries/vc-excellence/)
- [Vice-Chancellor’s EU Scholarships – Undergraduate](https://www.ncl.ac.uk/undergraduate/fees-funding/scholarships-bursaries/vc-undergraduate-eu/)
- [Vice-Chancellor's International Scholarships](https://www.ncl.ac.uk/undergraduate/fees-funding/scholarships-bursaries/vc-international/)
- [International Foundation Scholarships](#)
- [International Family Discounts](https://www.ncl.ac.uk/undergraduate/fees-funding/scholarships-bursaries/international-family-discounts/)
- [Opportunity Scholarships](https://www.ncl.ac.uk/undergraduate/fees-funding/scholarships-bursaries/opportunity-scholarships/)
- [Subject Scholarships](https://www.ncl.ac.uk/undergraduate/fees-funding/scholarships-bursaries/subject-scholarships/)
- [Sports Scholarships](https://www.ncl.ac.uk/sport/performance/scholarships/)
- [St Nicholas’ Educational Trust Scholarship](https://www.ncl.ac.uk/undergraduate/fees-funding/scholarships-bursaries/st-nicholas/)
- [NU Sanctuary Scholarships](https://www.ncl.ac.uk/undergraduate/fees-funding/scholarships-bursaries/sanctuary/)
- [Tuition Fees and Costs](https://www.ncl.ac.uk/undergraduate/fees-funding/tuition-fees/)
- [Additional Costs](https://www.ncl.ac.uk/undergraduate/fees-funding/tuition-fees/additional-costs/)
- [Student Loans](https://www.ncl.ac.uk/undergraduate/fees-funding/student-loans/)
- [International Student Finance](https://www.ncl.ac.uk/undergraduate/fees-funding/international-students/)
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- [Undergraduate Open Days](https://www.ncl.ac.uk/study/meet/undergraduate-open-day/)
- [Sign up and Discover](https://www.ncl.ac.uk/undergraduate/your-future/)
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- [Chat to Our Students](https://www.ncl.ac.uk/study/chat-to-students/)
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- [Find a Degree](https://www.ncl.ac.uk/postgraduate/degrees/)
- [Why Choose Newcastle?](https://www.ncl.ac.uk/postgraduate/why-newcastle/)
- [Your Study Options](https://www.ncl.ac.uk/postgraduate/flexible-study/)
- [Qualifications Explained](https://www.ncl.ac.uk/postgraduate/qualifications/)
- [Fees & Funding](https://www.ncl.ac.uk/postgraduate/fees-funding/)
- [Search for Funding](https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/)
- [Funding Your Studies](https://www.ncl.ac.uk/postgraduate/fees-funding/funding-your-study/)
- [Global Scholarships](https://www.ncl.ac.uk/study/global-scholarships/)
- [Applications & Offers](https://www.ncl.ac.uk/postgraduate/applications-offers/)
- [Application Help](https://www.ncl.ac.uk/postgraduate/applications-offers/application-help/)
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- [Your Offer Guide](https://www.ncl.ac.uk/postgraduate/applications-offers/offer-guide/)
- [Postgraduate Open Days](https://www.ncl.ac.uk/postgraduate/meet-us-open-days/)
- [Chat to Our Students](https://www.ncl.ac.uk/study/chat-to-students/)
- [Postgraduate Research](https://www.ncl.ac.uk/postgraduate-research/)
- [Find a Degree](https://www.ncl.ac.uk/postgraduate/degrees/)
- [Why Choose Newcastle?](https://www.ncl.ac.uk/postgraduate/why-newcastle/)
- [Qualifications Explained](https://www.ncl.ac.uk/postgraduate/qualifications/)
- [Research at Newcastle](https://www.ncl.ac.uk/postgraduate-research/our-research/)
- [Is a PhD for me?](https://www.ncl.ac.uk/postgraduate-research/is-a-phd-for-me/)
- [Fees and Funding](https://www.ncl.ac.uk/postgraduate-research/fees-and-funding/)
- [How to Apply](https://www.ncl.ac.uk/postgraduate-research/how-to-apply/)
- [How to apply for Studentships](https://www.ncl.ac.uk/postgraduate-research/how-to-apply/studentships/)
- [How to Propose your Research](https://www.ncl.ac.uk/postgraduate-research/how-to-apply/research-proposal/)
- [How to Write a Research Proposal](https://www.ncl.ac.uk/postgraduate-research/how-to-apply/research-proposal/writing-a-proposal/)
- [Occasional Students](https://www.ncl.ac.uk/postgraduate-research/how-to-apply/occasional-students/)
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- [Why Choose Newcastle University?](https://www.ncl.ac.uk/study/why-newcastle/)
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- [Life in Newcastle](https://www.ncl.ac.uk/study/student-life/life-in-newcastle/)
- [City Suburbs](https://www.ncl.ac.uk/study/student-life/life-in-newcastle/city-suburbs/)
- [Sports and Fitness](https://www.ncl.ac.uk/study/student-life/life-in-newcastle/sports-fitness/)
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- [Local Services](https://www.ncl.ac.uk/study/student-life/life-in-newcastle/local-services/)
- [Things to do](https://www.ncl.ac.uk/study/student-life/life-in-newcastle/things-to-do/)
- [Our North East Region](https://www.ncl.ac.uk/study/student-life/north-east/)
- [Cost of Living](https://www.ncl.ac.uk/study/student-life/cost/)
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- [Student Blog - Belong](https://belong.ncl.ac.uk/blog)
- [Accommodation](https://www.ncl.ac.uk/accommodation/)
- [Our Accommodation](https://www.ncl.ac.uk/accommodation/university/)
- [Accommodation Types](https://www.ncl.ac.uk/accommodation/university/types/)
- [Types of Rooms](https://www.ncl.ac.uk/accommodation/university/types/our-rooms/)
- [Accessible accommodation](https://www.ncl.ac.uk/accommodation/university/accessible-accommodation/)
- [Staff and Visitors](https://www.ncl.ac.uk/accommodation/university/staff-and-visitors/)
- [Bedrooms we offer](https://www.ncl.ac.uk/accommodation/university/staff-and-visitors/bedrooms-we-offer/)
- [Booking](https://www.ncl.ac.uk/accommodation/university/staff-and-visitors/booking-staff/)
- [Applying for Accommodation](https://www.ncl.ac.uk/accommodation/applying-for-accommodation/)
- [Accommodation Guarantee](https://www.ncl.ac.uk/accommodation/applying-for-accommodation/accommodation-guarantee/)
- [Applying for Undergraduate Accommodation](https://www.ncl.ac.uk/accommodation/applying-for-accommodation/applying-for-undergraduate-accommodation/)
- [Applying for Postgraduate Accommodation](https://www.ncl.ac.uk/accommodation/applying-for-accommodation/applying-for-postgraduate-accommodation/)
- [Applying for Accessible Accommodation](https://www.ncl.ac.uk/accommodation/applying-for-accommodation/applying-for-accessible-accommodation/)
- [Part Year Student Accommodation](https://www.ncl.ac.uk/accommodation/applying-for-accommodation/part-year-student-accommodation/)
- [Clearing and Insurance](https://www.ncl.ac.uk/accommodation/applying-for-accommodation/clearing/)
- [Living with Us](https://www.ncl.ac.uk/accommodation/living-with-us/)
- [Safety and Security](https://www.ncl.ac.uk/accommodation/living-with-us/safety-and-security/)
- [Moving In](https://www.ncl.ac.uk/accommodation/living-with-us/moving-in/)
- [Leaving Us](https://www.ncl.ac.uk/accommodation/living-with-us/leaving-us/)
- [Returning Next Year](https://www.ncl.ac.uk/accommodation/living-with-us/leaving-us/returning-next-year/)
- [Extending Your Stay](https://www.ncl.ac.uk/accommodation/living-with-us/leaving-us/extending-your-stay/)
- [Room Changes](https://www.ncl.ac.uk/accommodation/living-with-us/room-changes/)
- [Current Residents](https://www.ncl.ac.uk/accommodation/living-with-us/current-residents/)
- [Insurance](https://www.ncl.ac.uk/accommodation/living-with-us/current-residents/insurance/)
- [Parking & Bicycle Storage](https://www.ncl.ac.uk/accommodation/living-with-us/current-residents/parking-bicycle-storage/)
- [Post and Parcels](https://www.ncl.ac.uk/accommodation/living-with-us/current-residents/post-and-parcels/)
- [Guest Visitors and Going Away](https://www.ncl.ac.uk/accommodation/living-with-us/current-residents/visitors-and-going-away/)
- [Energy & Recycling](https://www.ncl.ac.uk/accommodation/living-with-us/current-residents/energy-and-recycling/)
- [ResLife](https://www.ncl.ac.uk/accommodation/living-with-us/student-experience/reslife/)
- [ResLife Find a Flatmate](https://www.ncl.ac.uk/accommodation/living-with-us/student-experience/find-a-flatmate/)
- [Your ResLife Team](https://www.ncl.ac.uk/accommodation/living-with-us/student-experience/reslife/)
- [Student Support](https://www.ncl.ac.uk/accommodation/living-with-us/)
- [Policies](https://www.ncl.ac.uk/accommodation/living-with-us/policy/)
- [Accommodation Payments](https://www.ncl.ac.uk/accommodation/payments/)
- [Payment Methods](https://www.ncl.ac.uk/accommodation/payments/payment-methods/)
- [Payment Schedules](https://www.ncl.ac.uk/accommodation/payments/payment-schedules/)
- [Managed Partnerships](https://www.ncl.ac.uk/accommodation/payments/managed-partnerships/)
- [Rent Adjustments](https://www.ncl.ac.uk/accommodation/payments/rent-adjustments/)
- [Contact Us](https://www.ncl.ac.uk/accommodation/contact-us/)
- [Student Village Receptions](https://www.ncl.ac.uk/accommodation/contact-us/-student-village-receptions/)
- [Your Accommodation Team](https://www.ncl.ac.uk/accommodation/contact-us/accommodation-team/)
- [Report a Fault](https://www.ncl.ac.uk/accommodation/contact-us/report-fault/)
- [Feedback and Complaints](https://www.ncl.ac.uk/accommodation/contact-us/feedback-complaints/)
- [Internet Connection](https://www.ncl.ac.uk/accommodation/contact-us/internet-connection/)
- [Your Future](https://www.ncl.ac.uk/study/your-future/)
- [Work Placements](https://www.ncl.ac.uk/study/your-future/work-placement/)
- [Careers Service](https://www.ncl.ac.uk/careers/)
- [About the Careers Service](https://www.ncl.ac.uk/careers/about/)
- [Careers Service Events](https://www.ncl.ac.uk/careers/events/)
- [Work for Yourself](https://www.ncl.ac.uk/careers/startup/)
- [Career Planning](https://www.ncl.ac.uk/careers/explore-your-options/career-planning/)
- [Careers Modules](https://www.ncl.ac.uk/careers/skills-and-experience/career-modules/)
- [Making Applications](https://www.ncl.ac.uk/careers/making-applications/)
- [Interviews, Tests & Assessment Centres](https://www.ncl.ac.uk/careers/making-applications/interviews-assessments/)
- [Internships, Placements & Shadowing](https://www.ncl.ac.uk/careers/skills-and-experience/internships-placements-shadowing/)
- [Finding Jobs](https://www.ncl.ac.uk/careers/find-jobs/)
- [Handling Job Offers](https://www.ncl.ac.uk/careers/making-applications/job-offers/)
- [Researching Employers](https://www.ncl.ac.uk/careers/find-jobs/researching-employers/)
- [Making Contacts](https://www.ncl.ac.uk/careers/explore-your-options/making-contacts/)
- [Further Study](https://www.ncl.ac.uk/careers/explore-your-options/further-study/)
- [Awards, Competitions & Project Funding](https://www.ncl.ac.uk/careers/skills-and-experience/awards-competitions-funding/)
- [Volunteering](https://www.ncl.ac.uk/careers/skills-and-experience/volunteering/)
- [Boost Your CV](https://www.ncl.ac.uk/study/your-future/boost-your-cv/)
- [Defence Technical Undergraduate Scheme (DTUS)](#)
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- [Undergraduate Virtual Event](#)
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[Our Research](https://www.ncl.ac.uk/research/)
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- [Research Strengths](https://www.ncl.ac.uk/who-we-are/excellence-impact/strengths/)
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- [Centre for Ageing](https://www.ncl.ac.uk/ageing/)
- [Centre for AI Safety](https://www.ncl.ac.uk/ai-safety/)
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- [Centre for Biomedical Engineering](https://www.ncl.ac.uk/biomedical-engineering/)
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- [Centre for Cyber Security and Resilience](https://www.ncl.ac.uk/research/cyber-security-resilience/)
- [Centre for Data Science and AI](https://www.ncl.ac.uk/data-science-ai/)
- [Centre for Energy](https://www.ncl.ac.uk/energy/)
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- [Centre for Rare Disease](https://www.ncl.ac.uk/rare-diseases/)
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- [Centre for Water](https://www.ncl.ac.uk/water/)
- [Research Culture](https://www.ncl.ac.uk/research/culture/)
- [Research Culture Action Plan](https://www.ncl.ac.uk/research/culture/plan/)
- [Working Together on Research Culture](https://www.ncl.ac.uk/research/culture/working-together/)
- [Doctoral College](https://www.ncl.ac.uk/doctoral-college/)
- [Global Challenges Academy](https://www.ncl.ac.uk/sustainability/global-challenges/)
- [Global Partnerships](https://www.ncl.ac.uk/sustainability/global-challenges/global-partnerships/)
- [Let's Work Together](https://www.ncl.ac.uk/sustainability/global-challenges/work-together/)
- [Research Excellence Framework (REF) 2021](https://www.ncl.ac.uk/ref-2021/)
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## Overview
Turn data into decisions with an industry-driven Master's that equips you with the knowledge and skills to solve real-world challenges and unlock powerful insights for organisations.
Data science is revolutionising every area of science, engineering and commerce. It offers the potential for huge societal and economic benefits.
Data science **extracts insights and knowledge from large and complex datasets**. It uses a wide range of techniques and methods to do this.
Designed in collaboration with leading industry partners, our Advanced Data Science MSc directly addresses the growing demand for skilled data professionals.
This programme is guided by an Industrial Advisory Board, which includes representatives from:
- Google
- Meta
- JP Morgan
- PwC
The programme is shaped by real-world expertise to reflect the latest industry trends, technologies, and employer expectations. You'll graduate ready to make an immediate impact.
Our Master's in Data Science brings together students and industry practitioners to develop and translate new technologies into industry practice.
You'll receive a comprehensive grounding in the theory and application of data science. You'll develop a multi-disciplinary combination of skills in statistics and computer science. You'll also be able to apply these skills to real problems in each application area.
You'll learn to analyse data and uncover patterns, trends and correlations. Topics covered also include:
- data visualisation
- statistics
- machine learning
- data engineering
You'll benefit from our substantial expertise in data science. We focus on a wide range of application areas, including:
- healthcare
- transport
- cybersecurity
- smart cities
- manufacturing
We are a hub of digital innovation. You'll benefit from our:
- leadership of the [National Edge AI Hub](https://edgeaihub.co.uk/), next-generation innovations via edge computing
- recognition as an Academic Centre of Excellence in Cyber Security, supported by the [National Cyber Security Centre](https://www.ncsc.gov.uk/) and the [EPSRC](https://www.ukri.org/councils/epsrc/)
- direct link with the UK's [National Innovation Centre for Data](https://www.nicd.org.uk/)
- partnership with [The Alan Turing Institute](https://www.turing.ac.uk/), the UK’s national institute for data science and AI
[How to apply](javascript:void(0))
## Quality and ranking
- Global Top 140 UniversityQS World University Rankings 2026
- Top 145 for Engineering and TechnologyQS World University Rankings by Subject 2025
- Top 25 in the UK and Top 200 in the world for sustainable developmentTimes Higher Education Impact Rankings 2025
- 42% of our research is classified as 4\* world-leading researchResearch Excellence Framework 2021
- 65% increase in research power since 2014Research Excellence Framework 2021
- Global Top 145 UniversityTimes Higher Education World University Rankings 2026
- Joint 64th in the world and 22nd in the UK for sustainabilityQS World University Rankings: Sustainability 2026
- Top 170 for Computing Science and Information SystemsQS World University Rankings by Subject 2025
- Top 5 city for affordability in the UKQS Best Student Cities 2026
- World Top 50 and UK Top 5 student cityQS Best Student Cities 2026
- 89th in the worldTIME Magazine: World’s Top Universities 2026
### Professional accreditation and recognition
**British Computer Society (BCS)**
The course is accredited by the [British Computer Society (BCS)](http://www.bcs.org/). The BCS is the chartered institute for IT. Studying a BCS-accredited degree provides the foundation for professional membership of the BCS on graduation and is the first step to becoming a chartered IT professional.
All professional accreditations are reviewed regularly by their professional body
[Recognition of professional qualifications outside of the UK](#)
If you’re studying an **accredited degree** and thinking about working in Europe after you graduate, the best place to find current information is the [UK Government’s guidance on recognition of UK professional qualifications in EU member states](https://www.gov.uk/government/publications/recognition-of-uk-professional-qualifications-in-eu-member-states/recognition-of-uk-professional-qualifications-in-eu-member-states). This official resource explains whether your profession is regulated in another country, what steps you need to take, and which organisation you should contact.
[## Funding and scholarships webinars
Join our funding and scholarship webinars.](https://belong.ncl.ac.uk/pg-online-webinar)
[Next: Course details](javascript:void(0))
## What you'll learn
This Advanced Data Science MSc has three phases.
### Phase one
We’ll introduce you to the core knowledge and skills in statistics and computer science.
These modules are taught as an intensive block, meaning you'll be taught two modules simultaneously.
### Phase two
Phase two consists of more advanced technical modules, as well as a group project.
We'll introduce the aspects that govern all areas of data science practice, including:
- professionalism
- legislation
- ethics
During the group project, you'll develop and evaluate a data science solution to a complex, real-world problem. You'll work in an industry organisation. They can be a regional, national or charitable organisation. You'll propose a data science project in that company, institute, or area of research.
### Phase three
In your final phase, you'll work on an individual research project. It'll give you an opportunity to:
- develop your knowledge and skills
- work in a research or development team
You can develop your project:
- at the University under an academic supervisor
- by securing an industrial placement
- working with your current employer
You'll have one-to-one supervision from an experienced staff member. If needed, you'll also get supervision from industry partners.
Recent final year project include:
- Unlock the Complexities of the Universe with Machine Learning Simulations
- The 12th Man: Do Football Fans Improve Team Performance?
- Simulating the Extreme Climate of the Gulf of Mexico
- Investigating the Impact of Ageing and Parkinson’s Disease on the Gait Cycle Using Mixed Effect Models
- Remote Sensing Classification using Quantum Image Processing
### Modules
You will study modules on this course. A module is a unit of a course with its own approved aims and outcomes and assessment methods.
[Advanced Data Science MSc modules](#)
| Compulsory Modules | Credits |
| --- | --- |
| [Data Visualization](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=CSC8626) | 10 |
| [Image Processing](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=CSC8628) | 10 |
| [Data Science in the Wild (Group Project)](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=CSC8632) | 10 |
| [Machine Learning with Project](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=CSC8635) | 10 |
| [Deep Learning](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=CSC8637) | 10 |
| [Project and Dissertation in Data Science](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=CSC8639) | 80 |
| [Graduate Foundations of Statistics and Data Science](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=MAS8600) | 30 |
| Optional Modules | Credits |
| --- | --- |
| [Engineering for AI](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=CSC8101) | 10 |
| [Complex Data Visualization](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=CSC8636) | 10 |
| [Advanced AI](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=CSC8645) | 10 |
| [Generative AI for Businesses](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=CSC8646) | 10 |
## How you'll learn
[Delivery and teaching methods](#)
The [School of Computing](https://www.ncl.ac.uk/computing/) and [School of Mathematics, Statistics and Physics](https://www.ncl.ac.uk/maths-physics/) deliver this course.
You'll be taught using a range of methods, including:
- seminars
- lectures
- practical classes
- group and individual project work
- guided independent reading
- self-directed learning
[Assessment methods](#)
Depending on your modules, you'll be assessed through a combination of:
- Dissertation
- Oral presentation
- Poster
- Report
- Written examination
[Additional assessment information](#)
Our MSc in Data Science uses both formative and summative assessments.
These assessments will:
- evaluate your overall understanding of the course content
- identify your strengths and areas for improvement
- encourage continuous learning and personal development
### Formative assessments
Formative assessments are designed to provide ongoing feedback and support throughout the course. These assessments will help you identify your strengths and areas for improvement, fostering continuous development.
Examples of formative assessments include:
- **Weekly quizzes:** Short quizzes at the end of each module to test your understanding of the material.
- **Assignments:** Regular assignments that involve practical data analysis tasks and problem-solving exercises.
- **Class participation:** Active participation in seminars, workshops, and group discussions to enhance learning through interaction.
- **Peer reviews:** Opportunities to review and provide feedback on classmates' work, promoting collaborative learning.
### Summative assessments
Summative assessments occur at the end of each module. They're designed to evaluate your overall comprehension and mastery of the course content.
These assessments will contribute to your final grade.
Examples of summative assessments include:
- **Coursework:** Projects where you apply the skills and knowledge gained throughout the course to a real-world data science problem.
- **Presentations:** Oral presentations of your projects and research findings to assess your communication skills and ability to articulate complex ideas clearly.
There'll be no written exams during your Advanced Data Science MSc.
[Support](#)
Computing Resources and Infrastructure Students will have access to computing resources such as:
- training machine learning models
- analysing large-scale datasets
- building full data science pipelines
These tools enable students to tackle real-world challenges and explore practical applications.
Whether through cloud-based platforms or high-performance computing environments, the specific setup will be confirmed ahead of the project or module launch.
[Wellbeing advisor support](#)
The School of Computing has a dedicated Wellbeing Advisor who understands the needs of our students.
They can be a confidential listening ear and provide guidance on a range of wellbeing issues.
[Student support](#)
Throughout your studies, you’ll have access to support from:
- academic staff
- personal tutors and research supervisors
- our University Student Services Team
- student representatives
- peers
You'll also be assigned an academic member of staff, who will be your personal tutor throughout your time with us. They can help with academic and personal issues.
Your teaching and learning is also supported by Canvas. Canvas is a Virtual Learning Environment. You'll use Canvas to submit your assignments and access your:
- module handbooks
- course materials
- groups
- course announcements and notifications
- written feedback
[Our staff](#)
The staff delivering this course are internationally recognised for their contributions to data science. Many of them have extensive experience working in industry and academia.
Our teaching staff belong to academic research groups including:
- Scalable Group, including the Northern Visualization and Visual Analytics research lab
- Networked and Ubiquitous Systems Engineering (NUSE), including the National Edge AI Hub
We also have direct partnerships with the National Innovation Centre for Data and The Alan Turing Institute.
[Search our academic staff in the School of Computing](https://www.ncl.ac.uk/computing/staff/academic/)
Philip Robinson Library (Student Texts Collection)
## Your development
You will strengthen your research skills through an extended research project, which may include:
- carrying out a literature review
- defining and specifying complex data-related problems
- designing suitable solutions
- implementing models and systems
- critically analysing results and performance
Throughout the course, you will also develop practical expertise by engaging with real-world challenges in Data Science and Artificial Intelligence.
You will apply statistical methods, machine learning, and deep learning techniques to a variety of data types, including text, images, and structured datasets.
The course will also provide hands-on experience in data visualisation, natural language processing, and computer vision, preparing you to work effectively with complex and diverse data.
Upon completing the course, you will be able to:
- design and implement intelligent software systems for data-driven tasks
- apply computing, mathematical, and statistical techniques to data storage and analysis
- confidently use modern programming languages, libraries, and AI frameworks
- build, train, and evaluate predictive models across a range of data domains
### Student stories
Chatwipa, from Thailand, shares her experience studying Data Science. She highlights the vibrant and welcoming city, the support available and valuable Careers Service.
[Read about Chatwipa's experience studying a Data Science MSc degree](https://www.ncl.ac.uk/study/student-stories/data-science-msc-chatwipa/)
[Course information: Disclaimers, policies and changes](https://www.ncl.ac.uk/postgraduate/degrees/general/)
[Previous: Overview](javascript:void(0))[Next: Entry requirements](javascript:void(0))
## Entry requirements
The entrance requirements below apply to 2026 entry.
### Academic entry requirements
A 2:1 BSc honours degree, or international equivalent, in:
- computer science
- mathematics
- statistics
- an engineering discipline with programming experience
We have a strong track record of admitting applicants from a non-standard background and individuals with strong relevant work experience are encouraged to apply and will be considered on an individual basis.
### Qualifications from outside the UK
Select your country
AfghanistanAlbaniaAlgeriaAntigua and BarbudaArgentinaArmeniaAustraliaAustriaAzerbaijanBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBhutanBoliviaBosnia and HerzegovinaBotswanaBrazilBritish Virgin IslandsBruneiBulgariaBurundiCambodiaCameroonCanadaCaribbeanCayman IslandsChileChinaColombiaCosta RicaCroatiaCubaCyprusCzech RepublicDenmarkDominicaDominican RepublicEcuadorEgyptEl SalvadorEritreaEstoniaEswatiniEthiopiaFijiFinlandFranceGabonGambiaGeorgiaGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIsraelItalyIvory CoastJamaicaJapanJordanKazakhstanKenyaKiribatiKosovoKuwaitLaosLatviaLebanonLesothoLiberiaLibyaLithuaniaLuxembourgMadagascarMalawiMalaysiaMaldivesMaltaMauritiusMexicoMongoliaMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew ZealandNicaraguaNigeriaNorth MacedoniaNorwayOmanPakistanPalestinePanamaPapua New GuineaParaguayPeruPhilippinesPolandPortugalQatarRepublic of IrelandRomaniaRussiaRwandaSaint Helena, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint Vincent and the GrenadinesSamoaSaudi ArabiaSenegalSerbiaSierra LeoneSingaporeSlovakiaSloveniaSolomon IslandsSouth AfricaSouth KoreaSpainSri LankaSudanSurinameSwazilandSwedenSwitzerlandSyriaTaiwanTajikistanTanzania, United Republic ofThailandTogoTongaTrinidad and TobagoTunisiaTurkeyTurkmenistanTurks and Caicos IslandsTuvaluUgandaUkraineUnited Arab EmiratesUruguayUSAUzbekistanVanuatuVenezuelaVietnamZambiaZimbabwe
### English Language requirements
Select your qualification
IELTSPearsonsDuolingo English TestTOEFLOtherPre-Sessional Entry - 6 weeksPre-Sessional Entry - 10 weeks
[Previous: Course details](javascript:void(0))[Next: Careers](javascript:void(0))
## Your future
### Careers
The course prepares you for a wide range of careers, including roles as:
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Analyst
- Research Data Scientist
- Quantitative Analyst
- AI Specialist
Graduates from this course have undertaken various roles including:
- Senior Software Engineer at Sage
- Data Analyst at Vodafone
- Data Engineer at Virgin Atlantic
- Data Scientist at Stanley Black & Decker, Inc.
### Industry links
The Industrial Advisory Board (IAB) provides strategic advice and industry insights to support the development, implementation, and continuous improvement of the programme. The IAB includes representatives from:
- Google
- Meta
- The Alan Turing Institute
- Airbus
- Defence Science and Technology Laboratory (DSTL)
- JP Morgan
- Lloyds Bank
- PwC
- National Innovation Centre for Data (NICD)
These connections provide you with numerous benefits, potential employment upon graduation and industry-sponsored projects.
Recent industrial projects include:
- Sage: Investigating Interpretability Methods for Visually Rich Document Understanding Models
- Oliver Wyman: Analysing the Performance of a Language Agnostic Version of a Classifier Model Leveraging LLMs
- NICD: Efficient Federated Learning: Analyzing Model Compression for Techniques Bandwidth Optimization
### Further study
This course provides a route into PhD level study, offering a robust foundation in both theoretical and applied aspects of Data Science. As a graduate, you'll be prepared to pursue advanced research opportunities and contribute to the academic community through doctoral programs.
[Postgraduate research degrees in computer science](https://www.ncl.ac.uk/computing/study/postgraduate-research/)
### Data science careers support
Our dedicated careers support team offers specialised guidance tailored to Data Science students. This includes:
- career planning
- workshops on resume-building and interview techniques
- networking events with industry leaders
- job fairs focused on data science and analytics
- access to an extensive alumni network for mentorship and job referrals
- support for start-ups
### Our Careers Service
Our expert Careers Service is here to help you take the next steps in your professional life. We will support you while you’re studying with us and for up to three years after you graduate.\
\
You will have access to expert one-to-one advice and guidance through our campus careers centre and online, along with digital resources, workshops, networking opportunities, and careers and recruitment events.\
\
**We’ve been awarded 5 QS Stars for Student Employability (2025).** Many of our degrees are shaped by strong links with national and international businesses. We are committed to helping you access real-world experience opportunities and develop key skills through paid work placements and internships.
[Visit our Careers Service website](https://www.ncl.ac.uk/careers/)
[Previous: Entry requirements](javascript:void(0))[Next: Facilities](javascript:void(0))
## Facilities
### Data visualisation technology
The School of Computing has cutting-edge technology to support research in data visualisation such as:
- a stereoscopic wall display
- a large touchscreen display
- eye trackers
- hand-tracking devices
- VR headsets
### National Innovation Centre for Data
The Newcastle Helix campus is home to the UK’s National Innovation Centre for Data (NICD). NICD runs projects with organisations to help them acquire new skills and innovate through data.
[Visit the NICD website](https://www.nicd.org.uk/)
### Urban Sciences Building
The School of Computing is based in the £58 million Urban Sciences Building (USB), a flagship development located on the £350 million Newcastle Helix regeneration site in the heart of Newcastle. It brings together:
- academia
- the public sector
- communities
- business and industry
[Explore the Urban Sciences Building](https://www.ncl.ac.uk/computing/about/urban-sciences-building/)
[Learn more about the Newcastle Helix](https://www.ncl.ac.uk/who-we-are/helix/)
### Postgraduate student facilities
As a Master's student, you'll have access to specialist teaching spaces and facilities in the USB. These are only available to postgraduate students.
Wellbeing and inclusivity are at the heart of our School. The USB has several wellbeing spaces for students, including:
- **The Retreat:** A sensory space with relaxing stimuli to distract from busy student life.
- **Wellbeing room:** Designed for relaxation and quiet time. Here you can take a moment to breathe and unwind. It can also be used by students with special medical requirements.
- **Prayer room:** For all faiths and none, this space can be used for prayer or quiet reflection.
[Find out more about our wellbeing and computing facilities](https://www.ncl.ac.uk/computing/about/facilities/)
[Previous: Careers](javascript:void(0))[Next: Fees & funding](javascript:void(0))
## Fees, Funding and Scholarships
### Tuition fees for 2026 entry (per year)
| Qualification: MSc Full time | |
| --- | --- |
| Home students Full time: 12 months | Tuition fees (per year) £14,500 |
| International students Full time: 12 months | Tuition fees (per year) £31,700 |
[Tuition fee increases](#)
As a general principle, you should expect the tuition fee to increase in each subsequent academic year of your course, subject to government regulations on fee increases and in line with inflation.
[EU, other EEA and Swiss nationals - tuition fee status](#)
Depending on your residency history, if you’re a student from the EU, other EEA or a Swiss national, with settled or pre-settled status under the EU Settlement Scheme, you’ll normally pay the ‘Home’ tuition fee rate and may be eligible for Student Finance England support.
EU students without settled or pre-settled status will normally be charged fees at the ‘International’ rate and will not be eligible for Student Finance England support. **You may be eligible for a scholarship worth 25% off the international fee**. [Search our funding database](https://www.ncl.ac.uk/postgraduate/fees-funding/).
If you are unsure of your fee status, check out the latest guidance [here](https://www.gov.uk/guidance/studying-in-the-uk-guidance-for-eu-students).
#### Scholarships
We support our EU and international students by providing a generous range of Vice-Chancellor's automatic and merit-based scholarships. See our [searchable postgraduate funding page](https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/) for more information.
### What you're paying for
Tuition fees include the costs of:
- matriculation
- registration
- tuition (or supervision)
- library access
- examination
- re-examination
- graduation
Find out more about:
- [living costs](https://www.ncl.ac.uk/study/student-life/cost/)
- [tuition fees](https://www.ncl.ac.uk/postgraduate/fees-funding/tuition-fees/)
[Deposit](#)
If you are an international student or a student from the EU, EEA or Switzerland and you need a visa to study in the UK, you may have to pay a deposit.
You can check this in the [How to apply section](#how-to-apply).
[Funding deadlines](#)
If you're applying for funding, always check the funding application deadline. This deadline may be earlier than the application deadline for your course.
For some funding schemes, you need to have received an offer of a place on a course before you can apply for the funding.
### Search for funding and scholarships
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## How to apply
### Before you start
**Start Dates**
The course starts in September.
**Closing Dates**
There is no application closing date for this course. We suggest international students apply at least two months before the course starts. This is so that you have enough time to make the necessary arrangements.
**Specialised application information**
As part of the application process, you are required to include a copy of your CV. Your CV should highlight your relevant prior experience relating to data science, including programming and/or statistics experience. You can attach your CV as a file in the applicant portal.
**Deposit**
**All International students**
If you are an international student or a student from the EU, EEA or Switzerland and you need a visa to study in the UK, you must pay a deposit or submit an official letter of sponsorship. The deposit is payable after you receive an offer to study with us. This deposit is non-refundable and will be deducted from your tuition fees when you register. You may also be subject to academic and English language qualification verification, confirmation of funds and credibility interviews.
**International students who received an offer before 18 March 2026**
- You are required to pay a £1,500 deposit or submit an official letter of sponsorship.
**International students Bangladesh, Ghana, Myanmar, Nigeria, Sri Lanka, and Pakistan who received an offer after 18 March 2026**
- You are required to pay a deposit of £5,000 or submit an official letter of sponsorship by 01 August 2026.
**All International students (excluding those from the markets above) who received an offer after 18 March 2026**
- You are required to pay a deposit of £1,500 or submit an official letter of sponsorship by 01 August 2026.
### Programme codes
| Qualification: MSc Full time | |
| --- | --- |
| Full time: 12 months | Programme Code: 5395F |
### Using the application portal
The application portal has instructions to guide you through your application. It will tell you what documents you need and how to upload them.
You can choose to start your application, save your details and come back to complete it later.
If you’re ready, you can select Apply Online and you’ll be taken directly to the application portal.
Alternatively you can find out more about applying on our [applications and offers pages](https://www.ncl.ac.uk/postgraduate/applications-offers/ "https://www.ncl.ac.uk/postgraduate/applications-offers/").
\
[Apply Online](https://applyto.newcastle.ac.uk/SignIn?returnUrl=/)
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## Open days and events
[Find out about how you can visit Newcastle in person and virtually](https://www.ncl.ac.uk/study/meet/)
### Overseas events
We regularly travel overseas to meet with students interested in studying at Newcastle University.
[Visit our events calendar for the latest events](https://www.ncl.ac.uk/study/meet/)
## Get in touch
### Questions about this course?
If you have specific questions about this course you can contact:
Data Science in Computing \
Email: [computing.datascience@ncl.ac.uk](mailto:computing.datascience@newcastle.ac.uk) \
School of Computing \
[ncl.ac.uk/computing](http://www.ncl.ac.uk/computing/)
### General enquiries
For more general enquiries, you could also complete our online enquiry form.
[Fill in our enquiry form](https://apps.ncl.ac.uk/contact-us/general-enquiry)
### Application enquiries
If you've got a question about your application, send us an enquiry via the application portal you applied through.
If you haven't applied yet, you can send your questions via our enquiry form.
[Fill in our enquiry form](https://apps.ncl.ac.uk/contact-us/general-enquiry)
### Live chat
Our Ncl chatbot might be able to give you an answer straight away. If not, it’ll direct you to someone who can help.
You'll find our Ncl chatbot in the bottom right of this page.
### Chat to our students
Choosing a university is a big decision. If you've got questions about a particular course, student life or the city of Newcastle, why not [chat to our friendly students or graduates](https://www.ncl.ac.uk/study/chat-to-students/)!
### Keep updated
We regularly send email updates and extra information about the University.
[Receive regular updates by email](https://www.ncl.ac.uk/postgraduate/register/)
###
### Social media
Get invloved with the School of Computing social media.
[Follow us on Twitter](https://twitter.com/computingncl/)
[Follow us on LinkedIn](https://www.linkedin.com/showcase/computing-newcastle-university/)
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