Optimization: principles and algorithms - Linear optimization

EPFL, located in the Lausanne area, is a leading European research university focused on science, engineering and technology. Founded in 1853, the school is renowned for interdisciplinary research, strong ties to industry and an entrepreneurial ecosystem that supports hundreds of startups. Students encounter a rigorous curriculum that emphasizes hands-on projects, collaboration and the translation of research into practical solutions.

The campus offers state of the art laboratories, innovation hubs and close partnerships with industry leaders in robotics, AI, sustainable energy and biotechnology. International students join a diverse community and benefit from programs taught in English, extensive research opportunities and structured doctoral and masters pathways. EPFL s connections with Swiss industry create clear pipelines for internships, collaborative theses and employment after graduation.

Life at EPFL blends academic intensity with a supportive environment that includes career services, language support and student associations. Lausanne s location on Lake Geneva provides a high quality of life and plentiful outdoor activities while remaining central to European research networks. Applicants should highlight research interests, teamwork experience and readiness for an intensive, innovation driven academic setting.

This program is for students who want to learn about optimization principles and algorithms, specifically linear optimization. It's a non-degree program that lasts one week and is taught in English. The main advantage is that it's online, so you can join from anywhere.

The curriculum covers the basics of linear optimization, including skills like problem-solving and data analysis. You'll have the chance to work on practical problems and develop your critical thinking skills.

After completing this program, you can pursue careers like Operations Research Analyst, Management Consultant, or Data Scientist. You could work in industries such as finance, logistics, or energy, and companies like IBM, McKinsey, or Shell might be potential employers.