Overview

Big data, machine learning and artificial intelligence are transforming industries across the world, and building genuine expertise in data science means combining strong computing foundations with the ability to work with information at scale. The BSc (Hons) Data Science at Nottingham Trent University builds a solid grounding in computer science before developing specialist skills in statistical, algorithmic and predictive techniques used to turn raw data into meaningful insight. Students gain hands-on, industry-focused experience applying computational intelligence to real-world scenarios, preparing them to contribute to research and development in commercial, scientific and technological settings. The course suits students who want a practical, technically grounded route into a fast-growing field, with the option to build in a foundation year if needed.

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What You'll Learn

• Core computer science principles underpinning data science practice

• Statistical, algorithmic and predictive tools for extracting insight from data

• Techniques for transforming raw data into practical, actionable information

• Approaches to predicting trends and supporting data-driven decision-making

• Development of data-driven solutions to optimise business processes

• Industrial applications of computational intelligence

• Hands-on, real-world project work reflecting genuine industry scenarios

• Broader areas of computer science relevant to the design of intelligent computer systems

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Learning Outcomes

By the end of the course, students will be able to apply core computer science principles alongside statistical, algorithmic and predictive techniques to extract meaningful insight from complex data. They will be equipped to transform raw data into practical, actionable information capable of informing decisions and predicting trends. Through hands-on, industry-focused project work, students will develop the ability to design intelligent computer system solutions and apply computational intelligence to real commercial, scientific and technological problems. Graduates will leave with strong technical and analytical skills, well prepared for further study or a career at the forefront of industrial, commercial or research-based data science.