Gain hands-on experience with new technologies and research within areas related to algorithm design, programming languages, and computer systems engineering.
Computer systems and networks master's programme at Chalmers
As a student of this master’s programme, you will develop a solid grasp of computer systems and networks through a broad, yet in-depth, training experience in the field of Computer science and engineering.
You will acquire theoretical knowledge and engineering skills in cyber security, computer systems engineering, dependable real-time systems, and distributed computing and systems.
The master's programme instils a set of essential skills that prepare you to work in Information and Computing Technology (ICT).
Courses in computer networks, parallel and distributed systems, computer architecture, cyber security, and real-time systems are taught by internationally recognized faculty in computer science and engineering. In addition to academic training in skills related to algorithm design, programming languages, and computer systems engineering, you will gain hands-on experience with emerging technologies and have opportunities to participate in cutting-edge research. This master's programme is the first within Chalmers to provide the necessary preparation to contribute to ubiquitous computing, cyber-physical systems, and other rapidly growing areas in the expanding ICT industry. If you are interested in becoming a technology expert in these and other areas, the programme provides an excellent background for pursuing doctoral studies.
In the master's programme, you will learn to design methodologies used to construct computer systems and networks. Such methodologies include fault-tolerant distributed algorithm design, concurrent programming, computer systems engineering, and secure and dependable systems design. The coursework is designed to develop both your theoretical knowledge and practical expertise.
For example, you will learn how to:
- Design a system based on new and existing components (systems engineering)
- Understand low-level hardware/software interaction, develop systems and applications (programming)
- Analyse performance and system design limitations (distributed computing)
- Assess, evaluate, and design systems, programs and applications to increase security and dependability (systems design).
Rather than concentrating on a single aspect of computer systems and networks, the courses provide the broad, practical, and up-to-date experience required by major ICT companies that develop computer systems and networks.
The Computer systems and networks master’s programme trains professionals in the field of Computer science and engineering. We welcome applications from graduates of Computer science, Computer engineering, Information engineering, Software engineering, Electrical engineering, Mechatronics, Mathematics, and Physics. You should be able to understand the connection between the systems and hardware and also be able to programme (write code).
The subjects of computer networks and architecture and distributed systems are fundamental areas in the Computer systems and networks master’s programme. The courses included in the programme plan handle topics such as real-time systems and cyber security.
Master's programme structure
The master's programme runs for a duration of two years, leading to a Master of Science (MSc) degree. During each year, students can earn 60 credits (ECTS) and complete the programme by accumulating a total of 120 credits. Credits are earned by completing courses where each course is usually 7.5 credits. The programme consists of compulsory courses, compulsory elective courses, and elective courses.
Compulsory courses year 1
During the first semester, the programme starts with three compulsory courses that form a common foundation in Computer systems and networks. Each course is usually 7.5 credits.
- Computer networks
How does the internet work? How are new computer networks designed? How do we ensure that our networks function correctly and efficiently? And how do we program applications that communicate with each other? This course teaches the basics of network design and implementation, covering topics from core protocols like TCP/IP to emerging network technologies. The course also emphasizes the fundamental algorithms underlying computer networks.
- Operating systems
How do applications actually run on a computer system? How do multiple applications run at the same time? Operating Systems are an integral part of all computer systems, from workstations to smartphones to embedded systems in vehicles. This course provides an introduction to OS design and implementation. Students who have taken a similar course during their bachelor studies may choose an elective course instead
- Distributed systems
Why are computing systems becoming increasingly distributed? How can we build reliable and fault-tolerant distributed systems? Why does the Internet scale to billions of users? How are modern distributed systems such as the cloud, the smart grid, or connected cars built? These are a few questions addressed in this course. The goal is to understand the design of distributed systems and discuss the underlying principles and mechanisms that drive today's distributed systems.
Compulsory courses year 2
In the second year, you must complete a master's thesis in order to graduate. The thesis may be worth 30 credits or 60 credits depending on your choice. In addition to the thesis there is also a course in technical writing.
- Technical writing in computer systems and network
How can you prepare yourself to write a master thesis? What exciting topics in the field of Computer systems and networks could you work on? How can we learn from the professional literature about these topics? This course covers a broad range of skills that are needed for planning and carrying out a thesis project in the area of Computer systems and networks.
- Master’s thesis
Students may perform their thesis work in an industrial context or within a research group at Chalmers. Students who want to write a research-oriented thesis may apply for an additional 15 credit research project or extend their research thesis work to 60 credit units.
Compulsory elective courses
Through compulsory elective courses, you can specialize in various subjects. You need to select four specialization courses to graduate. The topics covered by the courses include:
- Cyber security
What is security? Can we really make computer systems and networks secure? Are internet attacks and intrusions avoidable? Courses connected to cyber security will scrutinize the reasons behind such security problems and study methods and mechanisms for protecting against them, instilling an understanding of the fundamental issues through modelling and evaluation.
- Real-time systems
How do computer systems ensure that things happen in time? For example, when a car needs to brake, how does its computer system make it happen NOW? Courses connected to real-time systems teach the software design process for embedded systems with special requirements for reliability and timeliness. You will study design principles for programming languages and software systems followed by performance analysis and optimization of real-time systems.
- Distributed systems
Why do we need distributed systems? How can a collection of independent computers appear to its users as a single coherent system? How can we build a working system out of parts that do not work correctly all the time? These are questions that distributed system designers must answer. Courses connected to distributed systems teach the fundamental principles and build practical knowledge needed to answer such questions.
- Computer architecture
How can we design computers that solve problems as fast as the underlying technology permits and with minimal energy consumption? Courses about computer architecture provide an understanding of the principles that govern the design of computers used in IT systems ranging from smartphones to data centres.
- Machine learning
How can we make computers and programs perform complex tasks without explicitly programming them, for instance in scenarios such as self-driving cars? Courses about machine learning provide both theoretical foundations as well as hands-on activities on various tools that are widely used in modern systems.
What if you want to learn more about a particular subfield? Students can freely choose four elective courses from the above list of courses and other elective courses such as Computer graphics and Concurrent programming.
The master’s programme has been carefully designed to be relevant to a growing industrial and governmental ICT sector. In particular, the healthcare, e-commerce, aerospace, automotive, and telecom industries all rely on secure, dependable, safe, and energy-efficient computing systems and communication networks.
The master’s programme gives you the opportunity to combine academic training with engineering work experience, a combination that opens up diverse career paths, such as becoming:
- the Chief Technology Officer who takes responsibility for the company’s technological development plan and influences its competitiveness in the market
- the Systems Architect and Designer who builds computer systems and designs networked applications and protocols
- the Project Manager responsible for driving specific projects by choosing technical directions and leading people
- the Software Engineer who develops systems and run-time software that interfaces to the hardware platform
- the Security and Network Specialist who oversees company computer resources to ensure that sensitive data and services are only accessible to authorized users.
Research within Computer systems and networks
The faculty behind the programme has an established track record of academic, industrial and scientific accomplishments in the following research areas:
- Cyber security
- Dependable real-time systems
- Distributed computing and systems
- Computer architecture
As a student, you will be invited to take part in such research through seminars, thesis projects, and other individual and group projects. Past research collaborations including master-level students have yielded many innovations and accompanying scientific publications. Moreover, many of these students have been accepted to PhD studies at Chalmers and other leading institutions worldwide.
Admissions academic year 2022/23
General entry requirements
An applicant must either have a Bachelor's degree in Science/Engineering/Technology/Architecture or be enrolled in his/her last year of studies leading to such a degree.
Specific entry requirements
Bachelor’s degree (or equivalent) with the main field of study: Science, Engineering or Technology
Prerequisites: Mathematics (including Calculus (at least 7,5 cr.) and Linear Algebra (at least 7,5 cr.)), Introduction to Computer Engineering (at least 5 cr.), Programming in a General-Purpose Language (e.g. C/C++/Java/Haskell or similar (at least 7,5 cr.)) and one of the following courses: Discrete Mathematics and/or Mathematical Statistics and/or Probability Theory and/or Algorithms and/or Data Structures (at least 7,5 cr.)
Preferable course experience: Finite Automata Theory and Formal Languages, Mathematical Modelling and Problem Solving, Functional Programming, Machine-Oriented Programming, Development for Embedded Systems
English language requirements
Chalmers Bachelor’s degree
Are you enrolled in a Bachelor’s degree programme at Chalmers now or do you already have a Bachelor’s degree from Chalmers? If so, different application dates and application instructions apply.
Master of Science (MSc)Credits:
: Second Cycle, Master'sRate of study:
Full-time, 100%Instructional time:
DaytimeLanguage of instruction:
On-campus (Location: campus Johanneberg)Tuition fee:
160 000 SEK/academic year
*EU/EEA Citizens are not required to pay fees
Questions about the application:
Chalmers Admissions, firstname.lastname@example.org
Other master's programmes that might interest you
The programme is highly interlinked with the achievement of the UN Sustainable Development goals (SDGs).
The table below provides an overview of the sustainable development goals and the associated targets within the programme.
Goal 4: Quality education
To promote lifelong learning, the programme offers courses that focus and balance theoretical knowledge and engineering skills, to gain expertise as well as hands-on experience. This dual balance is also offered by courses that have students interacting both with researchers as well industrial practitioners and focusing on hot topics (from a research as well as a societal perspective) in computer science.
Goal 9: Industry, innovation and infrastructure
Students from this programme have the chance of meeting and discussing key subjects such as security, data management, and networks both with researchers as well as industry peers, from several relevant companies. The exchange and knowledge transfer happen within several courses, as well as through industrial master projects, and through the research projects and collaborations with various faculty members.
“We find flaws in the systems and fix them”
Priyanka Ravi Kumar, India, Computer Systems and Networks
Why did you choose this programme?
– I worked with networks and security at Dell in India for a couple of years after my bachelor’s in Computer Science. I had a clear idea of where I wanted to go next and the computer security-track in this programme was the most interesting to me. You have no idea of how easy it is getting into different systems without any credentials. It’s exciting to find systems have flaws that can be exploited and work on fixing them. The job opportunities in this entire field look really promising and I was really career-oriented when I made my selection.
What have you been working on?
–I have been working with a well-known Swedish app where we found some major flaws in the booking system. In that project, we researched a lot and worked on improving the flaw. In projects like this, we usually don’t have any exams, but we do find solutions, make presentations and write reports. We are usually free to choose any security-related project that we want.
What do you like the most about your programme?
– The courses are interesting and intense, so you won’t ever feel like nodding off in class. My favourite part is the lab's assignments that are really “hands-on” and challenging. We usually work in pairs, so you get to collaborate with a lot of new people, gain different perspectives and learn to come up with alternate solutions together. We also have guest lecturers from companies like Facebook and Google who have open demonstrations of how people have exploited their systems and how they worked on solving it.
What do you want to do in the future?
– I have already gotten job offers here in Sweden, but I want to complete my studies here at Chalmers first. I am open for many career paths since you can become any sort of web developer, but in the end, I would like to become a cyber security-analyst. It’s a person who works with securing a system from all angles to make sure that nobody can attack it.