Career path and working life

In-demand specialist expertise

There is a significant demand in the job market for qualified specialists in machine learning and AI. Companies and organizations strive to integrate advanced technologies to analyze the vast amounts of data generated daily, create intelligent systems, and solve complex problems, resulting in an exciting job market with numerous opportunities.

Career opportunities

The Master programme in Computer Science opens doors to several high-level positions, enhancing your career prospects. Upon graduation, you have the opportunity to lead and influence future innovations, contribute to solving real-world challenges, and shape the future of technology.

Many high-level positions in the field require a deeper level of knowledge and experience. The programme provides you with in-depth knowledge of fundamental principles and advanced techniques in machine learning and AI, such as advanced algorithms, neural networks, and deep learning.

Possible professional roles

After graduation, you have the opportunity to apply your knowledge and skills through several exciting career paths, including:

• Machine learning specialist: Develop and implement advanced machine learning algorithms and systems to solve complex problems across various industries.
• Data scientist: Analyze large datasets to generate insights and decision support, apply machine learning to create predictive models, and understand trends.
• AI researcher: Contribute to research projects to drive advancements in machine learning and artificial intelligence, either in academia, research institutions, or within the industry.
• AI consultant: Assist companies in implementing and benefiting from AI solutions through consultancy, the creation of custom solutions, and optimization of existing systems.
• Natural language processing (NLP) specialist: Specialize in developing systems that understand and process natural language, crucial for applications such as chatbots and text analysis.
• Developer of autonomous systems: Work on developing systems that can act and make decisions independently, for example, in autonomous vehicles or drone technology.
• Machine learning architect: Design the overall architecture for machine learning systems, including how data is transmitted, collected, processed, and used to make predictions.
• Financial analyst with a focus on machine learning: Use machine learning to analyze financial markets, risk management, and forecast models within the field of economics.

International perspective

The Master programme in Computer Science prepares you early for an international career. The programme attracts students from around the world, and you will study in a class with significant international diversity. This global composition of students not only enriches your academic experience but also opens up opportunities for you to create valuable international networks during your studies.

Industry collaboration

The programme is developed in close collaboration with industry and designed to meet real-world needs. We have collaborated with both large and small companies in the region as advisory partners to ensure the programme's relevance and practical applicability.