Computer Science and Advanced Data Analytics (MSc)
- Part of
- Computer Science (MSc)
The master's specialisation Computer Science and Advanced Data Analytics offers future-oriented topics in computer science, with a focus on the foundations and applications of smart computing technologies.
What does this master’s programme entail?
With an ever increasing amount of data being produced worldwide, the ability to discover meaningful patterns in data is becoming more and more important. The programme provides a clear focus on modern computer science with big data and data science, multimedia and bioinformatics, cyberphysical systems, software engineering, and other components. Applications of these smart computing technologies are explicitly considered in the master to establish a connection to real-world problems relevant in science and society.
Read more about our Computer Science and Advanced Data Analytics programme.
Why study Computer Science and Advanced Data Analytics at Leiden University?
- Within the programme we offer three tracks: Advanced Data Science, Algorithms and Software Technology and Computer Systems, Imagery and Media. You can also design your own, tailor-made programme.
- You will work on innovative research and applications within the context of two projects.
- You can benefit from a research environment and collaborations with other scientific disciplines, companies and organizations.
Find more reasons to choose Computer Science and Advanced Data Analytics at Leiden University.
Computer Science and Advanced Data Analytics: the right master’s programme for you?
Are you interested in smart computing technologies and do you want to contribute to real-world problems which are relevant in science and our society? The master’s programme in Computer Science and Advanced Data Analytics is the right choice. The programme guarantees a thorough training in advanced data analytics with ample of opportunities to design your own study path.
Read more about the entry requirements for Computer Science and Advanced Data Analytics.