Metadata
Title
Advanced Data Science MSc
Category
graduate
UUID
bfbc712aca6241cd80c0e60c174bc479
Source URL
https://www.ncl.ac.uk/postgraduate/degrees/5395f/
Parent URL
https://www.ncl.ac.uk/postgraduate/degrees/
Crawl Time
2026-03-19T01:34:26+00:00
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Advanced Data Science MSc

Source: https://www.ncl.ac.uk/postgraduate/degrees/5395f/ Parent: https://www.ncl.ac.uk/postgraduate/degrees/

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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:

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:

You'll benefit from our substantial expertise in data science. We focus on a wide range of application areas, including:

We are a hub of digital innovation. You'll benefit from our:

How to apply

Quality and ranking

Professional accreditation and recognition

British Computer Society (BCS)

The course is accredited by the British Computer Society (BCS). 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. 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

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:

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:

You can develop your project:

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:

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 10
Image Processing 10
Data Science in the Wild (Group Project) 10
Machine Learning with Project 10
Deep Learning 10
Project and Dissertation in Data Science 80
Graduate Foundations of Statistics and Data Science 30
Optional Modules Credits
Engineering for AI 10
Complex Data Visualization 10
Advanced AI 10
Generative AI for Businesses 10

How you'll learn

Delivery and teaching methods

The School of Computing and School of Mathematics, Statistics and Physics deliver this course.

You'll be taught using a range of methods, including:

Assessment methods

Depending on your modules, you'll be assessed through a combination of:

Additional assessment information

Our MSc in Data Science uses both formative and summative assessments.

These assessments will:

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:

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:

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:

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:

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:

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:

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

Philip Robinson Library (Student Texts Collection)

Your development

You will strengthen your research skills through an extended research project, which may include:

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:

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

Course information: Disclaimers, policies and changes

Previous: OverviewNext: Entry requirements

Entry requirements

The entrance requirements below apply to 2026 entry.

Academic entry requirements

A 2:1 BSc honours degree, or international equivalent, in:

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

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English Language requirements

Select your qualification IELTSPearsonsDuolingo English TestTOEFLOtherPre-Sessional Entry - 6 weeksPre-Sessional Entry - 10 weeks

Previous: Course detailsNext: Careers

Your future

Careers

The course prepares you for a wide range of careers, including roles as:

Graduates from this course have undertaken various roles including:

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:

These connections provide you with numerous benefits, potential employment upon graduation and industry-sponsored projects.

Recent industrial projects include:

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

Data science careers support

Our dedicated careers support team offers specialised guidance tailored to Data Science students. This includes:

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

Previous: Entry requirementsNext: Facilities

Facilities

Data visualisation technology

The School of Computing has cutting-edge technology to support research in data visualisation such as:

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

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:

Explore the Urban Sciences Building

Learn more about the Newcastle 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:

Find out more about our wellbeing and computing facilities

Previous: CareersNext: Fees & funding

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.

If you are unsure of your fee status, check out the latest guidance here.

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 for more information.

What you're paying for

Tuition fees include the costs of:

Find out more about:

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.

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

Find funding available for your course

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Previous: FacilitiesNext: How to apply

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

International students Bangladesh, Ghana, Myanmar, Nigeria, Sri Lanka, and Pakistan who received an offer after 18 March 2026

All International students (excluding those from the markets above) who received an offer after 18 March 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.

\ Apply Online

Previous: Fees & fundingNext: Get in touch

Open days and events

Find out about how you can visit Newcastle in person and virtually

Overseas events

We regularly travel overseas to meet with students interested in studying at Newcastle University.

Visit our events calendar for the latest events

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 \ School of Computing \ ncl.ac.uk/computing

General enquiries

For more general enquiries, you could also complete our online enquiry form.

Fill in our enquiry form

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

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.

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Keep updated

We regularly send email updates and extra information about the University.

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