Overview

The BSc (Hons) Data Science at Nottingham Trent University develops an integrated understanding of computing, mathematics, statistics, and data analysis. The foundation stage builds essential academic and technical skills before progressing into specialist data science study, providing a strong basis for working with data and computational methods.

What You'll Learn

• Core mathematical concepts including algebra, trigonometry, vectors, calculus, and descriptive statistics.

• Computational mathematics, including matrices, mathematical modelling, and the use of relevant software.

• Programming fundamentals using Python, including coding, testing, debugging, functions, and data-focused libraries.

• Principles of computer science, database design, programming, and data processing.

• Statistical and mathematical techniques for analysing and interpreting data.

• Computational intelligence and methods for developing data-driven solutions.

• Practical and professional skills, including problem solving, research, communication, teamwork, and academic practice.

• Applications of data science across scientific, technological, commercial, and other real-world contexts.

Learning Outcomes

By the end of the course, students will be able to apply mathematical and statistical methods to data-related problems and use programming techniques to process and investigate information. They will understand how computing, statistics, and mathematics work together within data science and be able to select appropriate computational approaches for different challenges. Students will also be able to design, implement, test, and refine basic software solutions, work with data using suitable tools, and communicate their findings clearly. Through practical projects and collaborative activities, they will develop structured problem-solving skills and gain experience applying theoretical concepts to realistic situations. The course will also support students in critically considering how computational and data-driven approaches can contribute to the development of intelligent systems.