BSc (Hons) Data Science and Artificial Intelligence: Degree, Subjects and Skills
Data is increasingly central to how organisations make decisions, build products and develop intelligent technologies. A BSc (Hons) Data Science and Artificial Intelligence brings together computing, statistics, data analysis and AI to prepare students to understand data and build systems capable of learning from it.
For students interested in both Data Science and Artificial Intelligence, studying the disciplines together creates a foundation that extends from programming and data management to machine learning and intelligent applications.
Building a Foundation in Data Science
Data Science combines computing, statistics and analytical methods to extract useful insights from data.
Students begin by developing foundations in programming, computing and quantitative thinking before progressing towards more specialised areas.
The University of Stirling’s BSc (Hons) Data Science and Artificial Intelligence starts with subjects including Introduction to Computing Science, Scripting for Data Science, Introduction to Data Science, Discrete Structures and Practical Statistics.
These subjects establish the technical and analytical foundations required for more advanced data-driven technologies.
Moving from Data to Artificial Intelligence
As students progress, the degree introduces technologies that allow computers to identify patterns, process information and support intelligent decision-making.
Machine learning is central to this progression. Instead of explicitly programming every possible outcome, machine learning systems use data to identify patterns and improve their performance on defined tasks.
Students at Stirling study Introduction to Machine Learning before progressing into areas including Natural Language Processing and Computer Vision.
Working with Modern Data Systems
Building AI models requires more than algorithms. Data must also be collected, organised, stored and processed effectively.
This makes database technologies an important component of a Data Science degree.
The Stirling programme includes Database Principles and Applications alongside NoSQL Databases & Data Warehousing and Data Strategy, helping students understand the infrastructure surrounding modern data applications.
Developing Practical Data Science and AI Skills
A BSc (Hons) Data Science programme can develop capabilities across programming, databases, statistics, machine learning, data processing and analytical problem-solving.
Stirling’s programme also includes a three-month industry work placement, giving students an opportunity to apply their learning in a commercial environment.
The final year brings these skills together through Data Science Applications, Distributed Data Science Systems and a substantial Computing Science Project.
Building Towards a Data-Driven Future
Data Science and AI increasingly intersect across technology and other sectors. Understanding both provides students with a broader foundation than approaching either field in isolation.
Students interested in developing these capabilities can explore the full BSc (Hons) Data Science and Artificial Intelligence degree, including its modules, entry requirements and practical learning structure.
Frequently Asked Questions
What is BSc (Hons) Data Science and Artificial Intelligence?
It is an undergraduate degree combining computing, statistics, data science and artificial intelligence technologies.
Does a Data Science degree include programming?
Yes. Programming and scripting are important components of Data Science study.
Is machine learning included in the degree?
Yes. Stirling’s programme includes Introduction to Machine Learning and related AI subjects.
Does the course include practical experience?
The Stirling programme includes a three-month industry work placement and a final-year Computing Science Project.
How long is the degree?
The BSc (Hons) Data Science and Artificial Intelligence at Stirling is a three-year, full-time programme.