KTH Royal Institute of Technology

Overview

The MSc in Scalable Computing Systems at KTH Royal Institute of Technology equips students with the skills necessary to design, deploy, and manage distributed computing platforms essential for large-scale data processing and artificial intelligence services. The program emphasizes infrastructure components such as networks, cloud and edge systems, and reliability techniques, ensuring applications can scale effectively and safely in response to increasing demand.

Located in the vibrant city of Stockholm, this on-campus program combines theoretical knowledge of advanced distributed systems with practical engineering skills, fostering the development of dependable, secure, and efficient systems capable of handling real-world challenges.

What you'll study

Programme Structure

This two-year, full-time MSc program comprises 120 ECTS credits. Students will engage in core courses covering distributed systems and infrastructure, alongside advanced topics that integrate networking, cloud/edge environments, and performance management under load.

Indicative course content includes:

• Networked Systems for Machine Learning
• Network Systems with Edge or Cloud Datacenters
• Distributed Systems (Advanced)
• Advanced Distributed Systems
• Queuing Theory

Capstone / thesis

As a culmination of the master’s program, students will undertake an independent research project or engineering problem related to scalable computing, applying the methodologies they have learned throughout their studies.

Entry requirements

Applicants are expected to possess a bachelor’s degree in a relevant field, demonstrating a solid foundation in computing and mathematics. Additional qualifications may be assessed on a case-by-case basis.

Career prospects

Graduates of the MSc in Scalable Computing Systems will find themselves well-prepared for a range of roles in the tech industry. Potential career paths include positions as cloud architects, data engineers, systems designers, and AI specialists, among others. The skills acquired during the program will enable graduates to tackle complex challenges in scalable computing across diverse sectors, from technology to finance.