What is Artificial Intelligence & High Performance Computing?

Two Key Technologies for Our Future

Artificial Intelligence (AI) is much more than just a trend and will profoundly transform the working world and society. AI encompasses the development and utilization of algorithms and models that can learn from data. This includes machine learning, neural networks, natural language processing (NLP), and computer vision. These technologies can solve sophisticated problems. With AI, we can automate tasks, optimize processes, and generate creative content. High Performance Computing (HPC) enables algorithms to run efficiently with specialized hardware and in large data centers. Only with HPC it is possible to apply AI methods to large volumes of data and broadly implement AI-based solutions.

The new study program in AI & HPC builds on a solid foundation in mathematics, software engineering, and computing systems. The program focuses on efficient, scalable algorithms and computing infrastructure in the context of AI. This program is suitable for you if you are interested in a thorough technical foundation in computer science that you want to specifically expand in the areas of AI and HPC.

AI & HPC is a specialization within the Computer Science degree program. You will graduate with the internationally recognized Bachelor of Science FHNW in Computer Science with a specialization in Artificial Intelligence & High Performance Computing.

With the Bachelor of Science FHNW in Computer Science specializing in Artificial Intelligence & High Performance Computing, you will have access to technologies and career paths relevant to the future. After completing your studies, you could work as:

• AI Application Engineer: You design and implement AI solutions to solve business or technical challenges through automation and data-driven decisions.
• HPC Engineer: You optimize high-performance computers and their infrastructure for maximum performance.
• Machine Learning Engineer: You use and develop models and algorithms to learn from data.
• Data Engineer: You design and implement data pipelines to make data accessible for analysis.
• Robotics Engineer: You build and program robots that perform tasks autonomously or interactively.
• AI Product Manager: You lead the development and implementation of AI products that meet market needs.
• Data Scientist: You analyze, interpret, and learn from data to help companies utilize it effectively.
• AI Engineer in Research: You apply AI methods to support and accelerate traditional scientific research.