
Data Science MSc
Newcastle upon Tyne, United Kingdom
DURATION
12 Months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
GBP 31,700 / per year *
STUDY FORMAT
On-Campus
* international students; GBP 12,900 - home students full-time; GBP 6,450 - home students part-time (24 months) per year;
Introduction
Our MSc in Data Science gives you the knowledge, experience, and expertise to solve real-world problems and realise data-driven insights for organisations.
Data science is revolutionising every area of science, engineering and commerce. It offers the potential for huge societal and economic benefits.
We created the MSc Data Science in collaboration with a number of high-profile industry leaders. It aims to address the skills shortage in data analytics.
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 gain the ability to apply these skills to real problems in a given application area.
Topics covered include:
- data visualisation
- cloud computing
- Bayesian statistics
- machine learning
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
Rankings
- 42% of our research is classified as 4* world-leading research – Research Excellence Framework 2021
- 65% increase in research power since 2014 – Research Excellence Framework 2021
- Global Top 130 University - QS World University Rankings 2025
- Global Top 170 University - Times Higher Education World University Rankings 2024
- Top 25 in the UK and Top 100 in the world for sustainable development – Times Higher Education Impact Rankings 2024
Curriculum
What you'll learn
This 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.
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.
Compulsory Modules
- Engineering for AI
- Data Visualization
- Image Informatics
- Data Management and Exploratory Data Analysis
- Data Science in the Wild (Group Project)
- Machine Learning with Project
- Project and Dissertation in Data Science
- Statistical Foundations of Data Science
- Statistical Learning for Data Science
Career Opportunities
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.
We have strong industry and business links with the following companies:
- Sage
- National Innovation Centre for Data (NICD)
- Nissan
- Northumbrian Water
These connections provide you with numerous benefits, including internship opportunities, guest lectures, industry-sponsored projects, and potential employment upon graduation.
Admissions
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.