Computer science – algorithms, languages and logic, MSc

120 credits (2 years)

Apply nowDevelop the computer applications of today and tomorrow in a programme that prepares you for research and development in the industry.​ 

Computer science – algorithms, languages and logic​ master's programme at Chalmers

Computer systems are becoming increasingly powerful and intelligent, and they rely on increasingly sophisticated techniques. To master the complexity of these systems, it is essential to understand the core areas of computer science.

This master's programme offers a comprehensive foundation in the science of programming. It gives the student a strong basis for developing the computer applications of today and tomorrow and for conducting innovative research and promoting development.

The core of the programme covers four main areas of computing science

  • Algorithms including artificial intelligence, machine learning and optimisation
  • Logic including applications in hardware and software verification
  • Programming languages with underlying principles, implementation techniques and advanced programming techniques.
  • Computer security including cryptography and programming language-based approaches to security.

The optional segment of the master's programme offers the student a broad range of courses in other areas of computer science, bioinformatics, software engineering, mathematics and other relevant areas.

The programme is intended for students who wish to study the core areas of computer science on an advanced level in order to prepare themselves for research and development in the software industry. It also provides an ideal basis for academic research in computer science.

Most students will have a BSc in computer science. However, the programme can also serve as a conversion course for students with BSc in related subjects, such as mathematics, physics or engineering sciences, provided they have basic knowledge of mathematics and programming and have completed an introductory computer science course such as data structures or algorithms.

Acquire a strong computer science knowledge

You will acquire a strong computer science background and thus gain access to a wide range of opportunities in the information technology industry. Students acquire lasting subject knowledge and are in a good position to understand and contribute to technological advances. 

  • Search engines such as Google and Yahoo are based on advanced algorithms research.
  • Examples of companies that employ technically skilled computer scientists include Ericsson and Volvo, and local companies such as Jeppesen, a leader in airline crew scheduling.
The programme also provides the student with an excellent background for future PhD studies in computing, which can lead to a career as an academic researcher or computing teacher.

Topics covered 

The subjects of computer science, programming languages and  algorithms are fundamental areas in the Computer science – algorithms, languages and logic master’s programme. The courses included in the programme plan handle topics such as artificial intelligence and software technology.

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 year the programme starts with three compulsory courses that form a common foundation in Computer science – algorithms, languages and logic. Each course is usually 7.5 credits. ​
  • Algorithms
  • Logic in computer science
  • Programming language technology​
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. 
  • The computer scientist in society
  • Master’s thesis ​

Compulsory elective courses 

Through compulsory elective courses, you can then specialize in one of the following profile tracks. ​​
Profile track: Algorithms
  • Algorithms advanced
  • Algorithms for machine learning and inference
  • Discrete optimization
Profile track: Logic and Verification
  • Models of computation
  • Software engineering using formal methods
  • Types for programmes and proofs
Profile track: Programming languages
  • Compiler construction
  • Advanced functional programming
  • Parallel functional programming

Profile track: Security

  • ​Cryptography
  • Programming language-based security

Elective courses ​

You will also be able to select courses outside of your programme plan. These are called elective courses. You can choose from a wide range of elective courses available at Chalmers.

Other master's programmes that might interest you
Software engineering and technology, MSc​​​​​​​​​​​

Research within Computer science – algorithms, languages and logic

Chalmers pursues vigorous and internationally recognised research in all core areas of the master's programme. Amongst other things, Chalmers is well-known for its research into functional programming. IT played a major role in the design and development of the standard lazy functional language Haskell. It has also developed a powerful testing tool called QuickCheck, which now has widespread use – in industry as well.

The ProSec group is finally applying methods from programming language theory to problems in security. The programming logic group is an international leader in its field with pioneering work in type theory and computer-assisted theorem proving. Members of the programming logic group also collaborate with linguists in the field of natural language processing. The algorithms group works on the design and analysis of algorithms and their applications in bioinformatics and networks in a broad sense.

One area under constant development is optimisation, where group members have developed prize-winning tools for aircraft crew scheduling. The tools have been commercialised by a local company called Jeppesen (formerly Carmen Systems), a world leader in this field. The formal methods group has explored automatic theorem proving techniques and applied them in cooperation with industry.

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Page manager Published: Mon 18 Oct 2021.