Overview

Data has become the driving force behind decisions in almost every industry, and those who can turn raw numbers into meaningful insight are in growing demand. The BSc (Hons) Data Science course at Newcastle University combines the study of mathematics and computing to prepare students for work with large and complex data sets. The course is delivered in partnership with the National Innovation Centre for Data, a centre of excellence in data science, AI application and industry engagement, whose real-world approach shapes much of the curriculum through specialised modules, masterclasses and bootcamps. Teaching methods include lectures, small group seminars and hands-on labs, alongside experiential learning delivered directly by NICD staff, giving students the chance to work on real business challenges using real-world data. Students also have the option to take a paid industry placement or a year of study abroad. This course suits those with an interest in both mathematics and computer science who want a practical route into a fast-growing profession, and graduates leave with the analytical, computational and communication skills needed to interpret, clean and present data with confidence.

What You'll Learn

Foundational mathematics, including probability, statistics, algebra and calculus

Core computing skills, including the software engineering lifecycle and programming

Specialised data science topics such as data visualisation, regression and statistical inference

Algorithm design, security programming and machine learning fundamentals

Experiential, industry-led learning through modules and bootcamps delivered by the National Innovation Centre for Data

Teamwork and problem-solving through real-world business challenges and group projects

The ethics and modern application of data science in a business context

Learning Outcomes

By the end of the course, students will be able to apply mathematical and computational thinking to real-world data problems, using their analytical skills to interpret, clean and visualise data with confidence. They will have built a strong foundation across statistics, algebra and programming before progressing to more specialised data science techniques such as regression, statistical modelling and machine learning, allowing them to critically evaluate different approaches and apply the most appropriate methods to a given problem. Extensive project-based and industry-led learning, delivered in partnership with the National Innovation Centre for Data, will have given students practical experience of solving real business challenges as part of a team, while developing the communication skills needed to explain technical findings to non-specialist audiences. Students will also be able to specialise further through optional modules across mathematics and computer science, tailoring their studies to areas of particular interest. Together, these outcomes prepare graduates for a wide range of roles in the growing data science profession, equipped with both the technical depth and practical experience employers value.