Overview
The University of Copenhagen’s Department of Computer Science is offering a series of four master-level courses in Machine Learning, designed to accommodate both in-person and remote learners. These courses provide a robust theoretical foundation in Machine Learning, making them suitable for students from various academic backgrounds and industry professionals.
Background & Relevance
Machine Learning is a rapidly evolving field that plays a crucial role in various applications, from data analysis to artificial intelligence. The integration of hybrid learning formats allows for greater accessibility, enabling participants to engage with the material regardless of their location. This flexibility is particularly significant in today’s educational landscape, where remote learning has become increasingly prevalent.
Key Details
- Courses Offered:
- Machine Learning A
Dates: 1 September 2025 – 9 November 2025
Organizer: Sadegh Talebi sadegh.talebi@di.ku.dk - Advanced Topics in Machine Learning
Focus: Privacy in Machine Learning
Dates: 1 September 2025 – 9 November 2025
Organizer: Amartya Sanyal amsa@di.ku.dk - Online and Reinforcement Learning
Dates: 2 February 2026 – 12 April 2026
Organizer: Sadegh Talebi sadegh.talebi@di.ku.dk - Machine Learning B
Dates: 20 April 2026 – 21 June 2026
Organizer: Nirupam Gupta nigu@di.ku.dk - Prerequisites:
- “Machine Learning A” is a prerequisite for the other courses, which can be taken in any order. A solid mathematical background is required for all courses.
- Cost:
- Free for students at Danish universities and those with exchange agreements with the University of Copenhagen.
- Pricing details for other participants can be found here.
- Registration:
- For more information and to register, visit this link.
Eligibility & Participation
These courses are aimed at students and professionals interested in enhancing their knowledge and skills in Machine Learning. Participants should have a solid foundation in mathematics to ensure they can engage with the course material effectively.
Submission or Application Guidelines
To enroll in the courses, interested individuals should:
1. Review the course offerings and prerequisites.
2. Visit the registration link provided above.
3. Complete the registration process as outlined on the website.
More Information
The courses represent a significant opportunity for those looking to advance their understanding of Machine Learning in a flexible learning environment. As the field continues to grow, the skills gained from these courses will be invaluable in both academic and industry settings.
Conclusion
The University of Copenhagen’s hybrid master-level courses in Machine Learning offer a unique opportunity for students and professionals alike. Interested individuals are encouraged to explore the courses, register, and take a step forward in their Machine Learning journey.
Category: Internships & Student Roles
Tags: machine learning, hybrid courses, university of copenhagen, online learning, reinforcement learning, privacy in machine learning, advanced topics, mathematics, computer science, education, ECTS, student opportunities
