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MSc Computer Science

The master's programme in Computer Science provides a broad education in computer science. Students acquire a solid foundation in advanced algorithms, computer security, artificial intelligence and internet protocols, and gain expertise through specialisation tracks. Graduates pursue careers at the forefront of software-based technologies as, for example, software engineers, game developers, IT project managers, or go on to PhD studies in order to pursue careers in research labs or in academia.

Master's programme in Computer Science

Application deadlines for studies starting 2023

17 October (2022): Application opens
16 January: Last day to apply
1 February: Submit documents and, if required, pay application fee
30 March: Admission results announced
August: Arrival and study start

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Computer Science at KTH

The master's programme in Computer Science provides a broad education in computer science with the possibility to specialise within different subjects. You will learn the methods for constructing software systems, including theoretical foundations and the practical ability to develop products and systems. During the programme, you will meet prominent guest lecturers from the industry and guest lecturers from other universities.

 The programme starts with mandatory courses in advanced algorithms, artificial intelligence, computer security, internet protocols, and research methodology to give you an insight into different areas of computer science. In the second semester, you choose one of the seven specialisations to gain in-depth knowledge in a field of computer science. The specialisations are closely connected to the department's world-class research groups.

Data Science

In the Data Science specialisation, you will learn methods for managing and analysing data from various sources, such as biomolecular sequence data, images and video, text.

Interaction Design

In the Interaction Design specialisation, you will learn to design and to develop interactive systems with modern development methodologies. The specialisation also provides a deeper knowledge of how to systematically evaluate interactive systems.

Cognitive Systems

In the Cognitive Systems specialisation, you will learn how to develop applications with artificial intelligence - abilities traditionally associated with humans. In the specialisation, you can choose to focus on robotics and computer vision or conversational systems, i.e., systems that interact through human language, such as voice assistants, social robots and chatbots.

Scientific Computing

In the Scientific Computing specialisation, you focus on techniques for mathematical modelling and numerical simulation of physical, chemical and biological systems. These techniques are used as the basis for virtual experiments when, for example, simulating crash tests and when building interactive virtual environments, for example, for computer games.

Software Technology

In the Software Technology specialisation, you will explore the methods and tools for designing, developing and maintaining different types of software. Within the specialisation, you can choose to focus on programming languages, compilers and program semantics or on software engineering, automated testing and large-scale development of reliable and secure software.

Theoretical Computer Science

In the Theoretical Computer Science specialisation, you learn about the abstract and mathematical methods to study algorithms. You learn to use formal methods and focus on the verifiable properties of software and software systems.

Visualisation and Interactive Graphics

The Visualisation and Interactive Graphics specialisation stretches from basic visualisation and graphics to modern research in the field. Visualisation is mainly about making large and complex data understandable with the help of graphics but has applications in computer games and other virtual environments.

The programme also consists of 28 ECTS credits (about one semester) of elective courses, which you can choose from a wide range of courses within computer science, to specialise further in your field of interest or broaden to new areas within computer science. The programme ends with the master's degree project, which involves participating in advanced research or design projects in an academic or industrial environment in Sweden or abroad.

This is a two-year programme (120 ECTS credits) given in English. Graduates are awarded the degree of Master of Science. The programme is given mainly on the KTH Campus in Stockholm by the School of Electrical Engineering and Computer Science (at KTH).

Topics covered

Software technology, algorithm analysis, computer security, artificial intelligence, networks, scientific computing, visualisation, machine learning, cognitive systems, theoretical computer science, data science

Courses in the programme

Students

Find out what students from the programme think about their time at KTH.

Xuehua from China

"KTH has great flexibility in course selection, so I had the chance to experience many amazing topics and implement many exciting ideas that I always wanted to try—like developing a game. Just open your mind and embrace all the possibilities at KTH!"

Xuehua from China

Meet the students

Career

The master's programme in Computer Science delivers skills necessary for a career at the frontline of modern software technology. Graduates have found work at companies such as Google (USA, Switzerland, Sweden), Spotify, Oracle, Ericsson, Dice, Saab, Klarna, Bloomberg and Accenture.

The programme also prepares students for a career in research or continued studies towards a doctoral degree. Former students have continued their studies on the doctoral level in Sweden, USA, Germany, and Russia, among others.

After graduation

Software engineer, researcher, IT consultant, data analyst, game developer

Meet the graduates

Sustainable development

Graduates from KTH have the knowledge and tools for moving society in a more sustainable direction, as sustainable development is an integral part of all programmes. The three key sustainable development goals addressed by the master's programme in Computer Science are:

Sustainable development goal 8: Decent Work and Economic Growth
Sustainable development goal 9. Industry, Innovation and Infrastructure
Sustainable development goal 11. Sustainable Cities and Communities

You will learn how to develop smart digital solutions to various societal needs. Digital technologies are rapidly replacing older, often inefficient, and resource-wasting systems. You will acquire the theoretical foundations and the practical skills needed to find sustainable, computer-based solutions that connect the customer’s dreams with state-of-the-art technical possibilities.

Computers are a natural and essential part of modern industry, innovations and new infrastructure. Central societal structures, such as banking, primary healthcare and transport, are currently in a phase of dramatic transition, and others are expected to follow. As a skilled expert in computer science and software development, you will be a key player in steering these changes in a positive direction.

Faculty and research

The School of Electrical Engineering and Computer Science is one of five schools at KTH. The school conducts research and education in electrical engineering, computer science, and information and communication technology.

Faculty and research

KTH's virtual campus tour

Andrés from Mexico is a student at the school of Electrical Engineering and Computer Science (at KTH). In the virtual tour he and some other KTH students will show you around the campuses.

Next step

Ikon med mobiltelefon och brev. Grafisk illustration.

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