Computer Science and Software Engineering

Our modern world works because of computer scientists. They develop the systems that are the foundation and glue of our society, and transform our experiences in communications, business, entertainment, gaming and healthcare.

University of Stirling Computing Science and Software Engineering degrees will teach you how to design, build and analyse computer systems alongside creativity, logical analysis, problem-solving and how teamwork builds complex systems. You’ll study practice and techniques for real-world software design and associated programming technologies.

Our degrees are highly practical to address skill shortages and help you step into your career. Our undergraduate courses offer three-month and one-year placements with local small and medium enterprise businesses as well as large corporates.

Computer Science and Software Engineering courses

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Graduate careers in Computer Science and Software Engineering

Our Computer Science and Software Engineering graduates are in high-demand in the many fields in which computer systems are extensively used and developed. Jobs directly related to a Computer Science or Software Engineering degree include:

  • information systems manager
  • data analyst
  • IT consultant
  • multimedia programmer
  • systems analyst
  • systems developer
  • UX analyst
  • web designer
  • web developer
  • application analyst
  • business analyst
  • database administrator
  • games developer

Our graduates emerge from our courses with a wide range of IT skills and knowledge.

Recent destinations for our graduates include KANA, Logica, Microsoft, Agilent, DERA, Marconi Systems, Adobe Systems Inc., Xerox, Google, HSBC, and Scottish Power.

Partnerships and industry

We have strong links with Scottish industry through its Industrial Advisory Board (IAB) – with members from both Scottish and international companies such as IBM, HSBC and Adobe.

We are a member of The Data Lab, which is an innovation centre with the aim of developing data science talent and skills required by the industry in Scotland.

Our Computing Science and Software Engineering undergraduate courses are accredited by the British Computer Society.

Our BSc (Hons) Software Development with Cyber Security course was developed with our business partners in the IT sector to help solve their skills shortages.

Societies

The Computer Club supports projects and activities for computer science and software engineering students, including the organisation of a Hackathon.

Computer Science and Software Engineering research

We produce internationally excellent research in Computing Science and Mathematics. In the most recent Research Excellence Framework (REF 2014) 90 percent of our research was graded as 'Internationally Excellent', with the top five percent judged to be 'World-leading'.

We provide a stimulating and lively environment for students, research fellows and visitors. Our Computing Science division is part of the Scottish Informatics and Computer Science Alliance (SICSA) - a Scotland-wide pooling initiative to exchange research and knowledge.

We develop and deploy new computational and mathematical approaches to tackle complex real-world problems. Our research explores the interfaces between computer science, mathematics, life and health sciences, as well as management, finance and social sciences.

Postgraduate research opportunities

As a PhD student researching Computing Science at Stirling, you’ll benefit from the support and expertise of leading academics who encourage you to think outside the box and tackle real problems affecting industry and society. See our PhD and MPhil opportunities in:

Biological Modelling Research Group

The group develops innovative inter-disciplinary computational and mathematical modelling approaches to high impact real-world problems and to deepen our understanding of the environment in which we live.

Computational Mathematics and Optimisation Research Group

The focus is on the development of computational and mathematical methods to solve complex dynamic problems using techniques such as symbolic computation. exponential analysis and metaheuristic and stochastic search methods.

Data Science and Intelligent Systems Research Group

The group's research includes exploring, developing, and applying brain-inspired computational techniques, search and optimisation methodologies, evolutionary computation and signal processing to a wide range of real-world, data-driven problems.