# 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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- [CPD Courses](#)
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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:
- data visualisation
- machine learning
- extreme value theory
- image analysis
To personalise your degree, you can choose between two dissertation modules:
- **Industrial dissertation**: Work with a business to solve a real-world data science problem using your new skills.
- **Individual research project:** Study and research a topic in your own area of interest.
[How to apply](javascript:void(0))
## Quality and ranking
- Global Top 140 UniversityQS World University Rankings 2026
- Top 200 for Statistics and Operational ResearchQS 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 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
[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
### 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:
- time series modelling
- design of experiments
- financial modelling
- survival analysis
- decision modelling for health data
### Semester 3
In Semester 3, you’ll choose one of these dissertation modules:
- industrial dissertation
- individual research project
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](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=CSC8621) | 10 |
| [Image Processing](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=CSC8628) | 10 |
| [Machine Learning with Project](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=CSC8635) | 10 |
| [Graduate Foundations of Statistics and Data Science](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=MAS8600) | 30 |
| [Foundations of Machine Learning with Advanced Topics](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=MAS8607) | 10 |
| Optional Modules | Credits |
| --- | --- |
| [Clinical Trials with Advanced Topics](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=HSC8100) | 10 |
| [Decision Modelling for Health Data Science with Advanced Topics](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=HSC8101) | 10 |
| [Advanced Topics in Medical Statistics and Health Data Science](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=HSC8102) | 10 |
| [Dissertation in Statistical Data Science](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=MAS8604) | 60 |
| [Industrial Dissertation in Statistics and Data Science](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=MAS8605) | 60 |
| [Experimental Design with Advanced Topics](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=MAS8608) | 10 |
| [Extreme Value Theory with Advanced Topics](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=MAS8610) | 10 |
| [Survival Analysis with Advanced Topics](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=MAS8612) | 10 |
| [Time Series with Advanced Topics](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=MAS8613) | 10 |
| [Stochastic Financial Modelling with Advanced Topics](https://www.ncl.ac.uk/postgraduate/degrees/module/?code=MAS8614) | 10 |
## How you'll learn
[Delivery and teaching methods](#)
You’ll be taught using a range of methods, including:
- lectures
- seminars
- computer practical sessions
- workshop sessions
- group work
[Assessment methods](#)
Depending on your modules, you'll be assessed through a combination of:
- Case study
- Dissertation
- Oral presentation
- Report
- Written examination
- Written exercise
[Support](#)
#### Numbas learning software
You'll have access to a specialist learning software called [Numbas](https://www.ncl.ac.uk/learning-and-teaching/digital-technologies/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:
- 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 Advanced Data Science with Statistics MSc is delivered jointly by the:
- [School of Mathematics, Statistics and Physics](https://www.ncl.ac.uk/maths-physics/)
- [School of Computing](https://www.ncl.ac.uk/computing/)
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:
- **Statistics:** World-class research in modern statistics and data science.
- **Astrostatistics:** Cutting-edge research being carried out at the interface of physics and statistics. They're using modern data science techniques to help understand the universe.
- **Scalable Computing:** Internationally renowned for tackling research challenges in high performance systems, data science, machine learning and data visualisation.
- **Biostatistics:** Over 30 statisticians working in developing and applying innovative methods in clinical trials and observational studies.
We're also home to the UK’s [National Innovation Centre for Data (NICD)](https://www.nicd.org.uk/). This gives you unique opportunities to collaborate with industry partners across multiple sectors.
Many of our staff are fellows of the [Alan Turing Institute](https://www.turing.ac.uk/). 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:
- sourcing and analysing datasets
- assessing data to answer research questions
- critically evaluating your own work and others
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:
- source, clean, and process data
- apply statistical techniques
- evaluate model performance
You'll also draw predictions while creating reports that integrate your analyses and insights.
[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 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 details](javascript:void(0))[Next: Careers](javascript:void(0))
## 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:
- Data Scientist
- Data Analyst
- Data Engineer
- Sports Analyst
- Medical Statistician
- Business Analyst
- Quantitative Analyst
Recent graduates have secured roles such as:
- Junior Data Analyst at EY
- Data Scientist at Caspian
- Lead Data Scientist at SIRV Systems
- Actuarial Data Analyst at IQUW
Previous students from our data science courses have gone on to work at companies such as:
- LEGO
- Bank of England
- AkzoNobel
- Department of Workplace and Pensions (DWP)
- Office for National Statistics
- Department of Transport
- BBC
### 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:
- machine learning and artificial intelligence
- data ethics and fairness
- experimental design
- extreme value theory
- sports modelling
- survival analysis
- time series analysis
- health data science and clinical trials
- decision modelling in healthcare
- natural language processing
### Links with industry
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:
- National Health Service (NHS)
- United Nations
- World Health Organisation (WHO)
- Department for Transport and National Highways
- Met Office
- Smartodds
Our Industrial Advisory Board (IAB) supports the development and improvement of this course. They provide strategic advice and industry insights, and 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 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](https://www.ncl.ac.uk/careers/)
[Previous: Entry requirements](javascript:void(0))[Next: Facilities](javascript:void(0))
## 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:
- 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) £14,800 |
| 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](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
Find funding available for your course
Select your country
[Previous: Facilities](javascript:void(0))[Next: How to apply](javascript:void(0))
## 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**
- 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: 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](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=/)
[Previous: Fees & funding](javascript:void(0))[Next: Get in touch](javascript:void(0))
## 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:
Email: [maths.physics@ncl.ac.uk](mailto:maths.physics@newcastle.ac.uk)\
School of Mathematics, Statistics and Physics\
[ncl.ac.uk/maths-physics](https://www.ncl.ac.uk/maths-physics/)
### 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 involved 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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