Metadata
Title
Advanced Data Science with Statistics MSc
Category
graduate
UUID
425da359742445f5bba75fce9613f97c
Source URL
https://www.ncl.ac.uk/postgraduate/degrees/5520f/
Parent URL
https://www.ncl.ac.uk/postgraduate/degrees/
Crawl Time
2026-03-19T01:34:33+00:00
Rendered Raw Markdown

Advanced Data Science with Statistics MSc

Source: https://www.ncl.ac.uk/postgraduate/degrees/5520f/ Parent: https://www.ncl.ac.uk/postgraduate/degrees/

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Overview

Master advanced statistical techniques and methodologies in data science. Uncover valuable insights, make smarter decisions, and tackle complex problems.

Data is everywhere, shaping the way we make decisions, solve problems, and understand the world. Statistics provide the foundation for interpreting complex data, drawing accurate conclusions, and building robust models. When combined with data science, we can handle larger datasets and gain clear and reliable insights. Leading to more informed and effective solutions.

You’ll graduate from this Master’s degree with advanced knowledge in mathematics, statistics and data science. You'll gain a unique skillset that's attractive to employers across a wide range of industries.

This programme offers great flexibility, allowing you to design a degree to match your interests and career goals. You can personalise your studies by choosing from a broad range of modules and you’ll benefit from our diverse research expertise.

You can explore topics such as:

To personalise your degree, you can choose between two dissertation modules:

How to apply

Quality and ranking

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

Semester 1

In Semester 1, you’ll build a solid foundation in data science, statistics, machine learning and image informatics.

Semester 2

You’ll begin to customise your degree in Semester 2. You'll choose five optional modules to suit your interests and career goals. These can include topics such as:

Semester 3

In Semester 3, you’ll choose one of these dissertation modules:

The industrial dissertation is ideal if you want to focus on strengthening your employability. You’ll work with a business to solve a real-world data problem.

During the individual research project, you'll create your own project which focuses on your own interests and career aspirations.

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 with Statistics MSc modules

Compulsory Modules Credits
Computing Foundations of Data Science 10
Image Processing 10
Machine Learning with Project 10
Graduate Foundations of Statistics and Data Science 30
Foundations of Machine Learning with Advanced Topics 10
Optional Modules Credits
Clinical Trials with Advanced Topics 10
Decision Modelling for Health Data Science with Advanced Topics 10
Advanced Topics in Medical Statistics and Health Data Science 10
Dissertation in Statistical Data Science 60
Industrial Dissertation in Statistics and Data Science 60
Experimental Design with Advanced Topics 10
Extreme Value Theory with Advanced Topics 10
Survival Analysis with Advanced Topics 10
Time Series with Advanced Topics 10
Stochastic Financial Modelling with Advanced Topics 10

How you'll learn

Delivery and teaching methods

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

Assessment methods

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

Support

Numbas learning software

You'll have access to a specialist learning software called Numbas. Developed at Newcastle University, it's now used by mathematicians and statisticians worldwide.

This innovative software allows you to work on interactive code worksheets, so you can test and refine your skills throughout your course.

Specialist software and tool support

You'll have support from our award-winning Digital Learning Team, who can assist you with the specialised software and tools you need for the programme.

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 Advanced Data Science with Statistics MSc is delivered jointly by the:

The degree is delivered by experts working at the frontier of a wide range of statistical and computer science areas.

You'll work alongside academics from the following research groups:

We're also home to the UK’s National Innovation Centre for Data (NICD). This gives you unique opportunities to collaborate with industry partners across multiple sectors.

Many of our staff are fellows of the Alan Turing Institute. They play a key role in shaping the way data science is researched and taught in the UK and around the world.

Philip Robinson Library (Student Texts Collection)

Your development

Professional skills

You'll enhance your professional skills by writing reports and delivering presentations to both experts and non-experts. Working on projects will improve your teamwork and communication skills. If you choose the industrial dissertation, you'll also gain valuable experience working with a business to meet deadlines.

Research skills

You'll build your research skills by:

You'll also reflect on your research process to identify areas for improvement.

Practical skills

You'll develop advanced practical skills for data science, including programming, data manipulation and effective visualisation.

You'll learn to:

You'll also draw predictions while creating reports that integrate your analyses and insights.

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 mathematical sciences or another quantitative degree with a formal mathematical component. Examples include, but are not limited to, computer sciences, economics, engineering and similar disciplines.

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

English Language requirements

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

Previous: Course detailsNext: Careers

Your future

Your career

This Advanced Data Science with Statistics MSc can provide a pathway to various careers across a broad range of industries. Job roles might include:

Recent graduates have secured roles such as:

Previous students from our data science courses have gone on to work at companies such as:

Further study

This degree provides a route into PhD level study in a wide range of fields, depending on your choice of optional modules.

As a Data Science graduate, you can focus on advanced research in data science and statistical methods, with applications in areas such as:

You’ll benefit from our connections with industry leaders, gaining access to valuable networking opportunities, internships, and insights into real-world applications of data science.

Our academics have connections with:

Our Industrial Advisory Board (IAB) supports the development and improvement of this course. They provide strategic advice and industry insights, and includes representatives from:

These connections provide you with many benefits, including internship opportunities, guest lectures, industry-sponsored projects, and potential employment upon graduation.

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

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) £14,800
International students Full time: 12 months Tuition fees (per year) £32,700

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

Select your country

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, but we recommend that you apply by the start of September.

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.

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: 5520F

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:

Email: maths.physics@ncl.ac.uk\ School of Mathematics, Statistics and Physics\ ncl.ac.uk/maths-physics

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

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You'll find our Ncl chatbot in the bottom right of this page.

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