Our Career Opportunities

Development is a fundamental skill for computer scientists. While software development is a common application of this expertise in professional settings, computer scientists are also adept at developing more abstract concepts, such as innovative product ideas, novel methodologies, or even entire companies. Common roles in this field include application developer, software engineer, project manager, product developer, or product researcher.

Especially when it comes to larger software projects or product development, a basic understanding of business concepts and contexts is particularyl valuable. Equally important is the integrative and holistic way of thinking fostered at the University of St. Gallen. Our graduates intuitively integrate different perspectives and contextual frameworks into their decision-making processes.

Back to Overview

Data Science is an interdisciplinary field dedicated to extracting valuable insights from (often very large) datasets. Wherever data is generated or collected, there is a demand for skilled data scientists. By gathering, cleaning, and analysing data, they uncover patterns and gain insights that drived  informed decision-making and effective problem-solving. Key application areas include healthcare, finance, marketing, and generally analysing business data.

Data scientists with a strong foundation in economics and business administration are particularly well-equiped to deliver accurate interpretations of business data. This enhances the value that University of St.Gallen data scientists can bring to organisations.

Back to Overview

Having computer scientists as part of the core team when founding a company has become standard practice. Why? There are various reasons for this, which also illustrate how computer science education at a business university is particularly valuable. Here are some examples include:

• Technology has become foundational for products.
• Scalability and automation of technological solutions are considered key competitive advantages.
• Data-driven, rapid decision-making leads to more precise business development.
• Problem-solving skills: Computer scientists are efficient and effective problem solvers. This is applicable in all fields and provides a decisive advantage, especially during the critical startup phase of a company.

Back to Overview

Consulting firms sell advisory services to other organizations to help solve their problems. These issues can affect all areas of an organization. Typical use cases include optimizing companies and their processes, improving products, driving the digital transformation of businesses, or conducting forward-looking market analyses. In this context, computer scientists are especially valuable as they bring structured thinking, deep technical understanding, and strong problem-solving skills.

Computer scientists with business acumen also have easier access to understanding business models, corporate structures, legal frameworks, and strategic business decisions.

Back to Overview

Subject matter experts possess not only a solid foundational knowledge in computer science but are also specialised in one area in which they hold particular expertise. Such expertise is typically gained through advanced education, such as a master's or even a doctoral degree. Specialised experts can apply their knowledge across a wide range of activities, including:

• Consulting and recommendations (e.g. for governments, company leadership, or employees)
• Research and analysis (e.g. identifying the cause of cyberattacks)
• Education (e.g. as course instructors)
• Problem-solving (especially in issues of critical importance or when others have been unable to find solutions)
• Evaluation of new technologies and tools.

Back to Overview