Data Science MSc
Make the transition into the dynamic field of data science, with flexible module options designed to prepare you for a wide range of data-driven careers.
You are currently viewing course information for entry year:
Start date(s):
- September 2026
Important application information
This course is still subject to full university approval and is due to start in September 2026. The information given below is intended for guidance purposes only and may change once the course is fully approved.
Please fill in our online form. We'll use this to let you know when:
- the course gets full university approval
- more in-depth course information becomes available
- we can start accepting applications
Overview
The MSc Data Science at Newcastle University is a flexible conversion programme. We have designed the course to equip students from non-computing backgrounds with the core skills and knowledge needed to thrive in the fast-growing field of data science.
Unlike our specialist pathways, this programme offers a broad foundation in data science principles. The course allows you to explore applied areas of interest through optional modules from our range of specialisms and an interdisciplinary capstone project.
The capstone project provides the opportunity to apply data science methods to real-world problem. You can choose the format the project is delivered through, whether as:
- an individual project
- a group project
- an industry-linked project
You’ll draw on the University’s partnerships, research strengths and industry connections, including our direct link with the National Innovation Centre for Data (NICD).
Part of the course is also delivered by NICD's expert data scientists. You’ll immerse yourself in the cutting-edge techniques, practical implementation, and ethical considerations of data science. At their purpose-built ‘bootcamp’, you’ll gain access to their data sets. You'll work as a team to provide a data-driven innovation solution to a previously unseen organisational or business challenge.
Who this course is for
This programme is for graduates who are looking to transition into data science. It is designed for applicants who do not hold a degree in computer science or a related computational field.
The course is especially suited to those who want to gain a solid grounding in core data science methods while maintaining the flexibility to explore a variety of applied areas, rather than committing to a specialism.
Important information
We've highlighted important information about your course. Please take note of any deadlines.
Please rest assured we make all reasonable efforts to provide you with the programmes, services and facilities described. However, it may be necessary to make changes due to significant disruption, for example in response to Covid-19.
View our Academic experience page, which gives information about your Newcastle University study experience for the academic year 2025-26.
See our terms and conditions and student complaints information, which gives details of circumstances that may lead to changes to programmes, modules or University services.
Your future
Your career
Graduates of our Data Science MSc are well-prepared to pursue roles in a variety of sectors, including:
- Data Scientist
- Data Analyst
- Business Analyst
- Statistician
- Research Analyst
- Data Consultant
- Insights Manager
Our Careers Service
Our Careers Service is one of the largest and best in the country, and we have strong links with employers.
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.
Get in touch
Questions about this course?
If you have specific questions about this course you can contact:
Online
For more general enquiries you could also complete our online 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.
Keep updated
We regularly send email updates and extra information about the University.