The following courses are part of study year one.
The course application codes and study periods are valid for the academic year 2025/2026. For other academic years, different application codes and study periods may apply
General Courses
Students who in a previous degree have read a course corresponding to DD2380, DD2395, IK2218 or DD2440 may apply to read a replacement course instead. The application is submitted to the master coordinator who, after reviewing the previously read course, helps the student to choose an appropriate replacement course. The course should be at least 6 credits, advanced level and broad in computer science. It must not be included in the student's track and the subject matter may not be close to any of the other compulsory courses.
The choice of replacement course must be approved by the programme director.
Students at KTH:
- from CINTE who have read any of the following courses can apply to read a replacement course: IK1203 Network and Communication, ID1214 Artificial Intelligence and Applications, IV1013 Introduction to Computer Security, IK2206 Internet Security and Privacy. Contact the master coordinator according to the instructions above.
- from CDATE, who started 2011 or earlier, have to take the mandatory course ID2200 Operating System, 6 credits, in the master's programme.
Mandatory courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DD2395 Computer Security | 50301 | 6.0 credits | 6.0 | |||
IK2218 Protocols and Principles of the Internet | 50304 | 6.0 credits | 6.0 | |||
DA2210 Introduction to the Philosophy of Science and Research Methodology for Computer Scientists | 50305 | 6.0 credits | 1.5 | 4.5 | ||
DD2440 Advanced Algorithms | 50303 | 6.0 credits | 1.5 | 4.5 | ||
DD2300 Program Integrating Course in Computer ScienceOne credit each academic year | 50302 | 2.0 credits | 0.2 | 0.3 | 0.2 | 0.3 |
DD2380 Artificial Intelligence | 50306 | 6.0 credits | 6.0 |
Specialisations
Track, Cognitive Systems (CSCS)
Courses (CSCS)
Prerequisites:
SF1626 Calculus in Several Variable, 7,5 credits (or equivalent).
DD2421 Machine Learning, can not be included in the track if DD1420 Foundations of Machine Learning, has been taken before. In that case, the DD2421 must be replaced with a conditionally elective course within the track.
Mandatory courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DD2421 Machine Learning | 60242 | 7.5 credits | 7.5 |
One of the subtracks must be taken.
Subtrack 1: Vision and Robotics
Mandatory course:
- DD2424 Deep Learning in Data Science
At least one must be taken:
- DD2410 Introduction to Robotics
- DD2419 Project Course in Robotics and Autonomous Systems.
At least one must be taken:
- DD2423 Image Analysis and Computer Vision
- DD2413 Social Robotics.
Subtrack 2: Conversational System
Mandatory courses:
- DD2417 Language Engineering
- DT2151 Project in Conversational Systems
At least one must be taken:
- DT2112 Speech Technology
- DT2119 Speech and Speaker Recognition.
Some courses may be given every two years.
Conditionally elective courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DT2112 Speech TechnologyConditionally elective for the subtrack Conversational systems | 60248 | 7.5 credits | 7.5 | |||
DD2419 Project Course in Robotics and Autonomous SystemsConditionally elective for the subtrack Vision and Robotics | 60318 | 9.0 credits | 4.5 | 4.5 | ||
DD2417 Language EngineeringMandatory for the subtrack Conversational systems | 60246 | 7.5 credits | 7.5 | |||
DD2424 Deep Learning in Data ScienceMandatory for subtrack Vision and Robotics | 60228 | 7.5 credits | 7.5 | |||
DT2119 Speech and Speaker RecognitionConditionally elective for the subtrack Conversational systems | 60252 | 7.5 credits | 7.5 |
Recommended courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DD2438 Artificial Intelligence and Multi Agent Systems | 60247 | 15.0 credits | 7.0 | 8.0 | ||
DD2477 Search Engines and Information Retrieval Systems | 60251 | 7.5 credits | 4.5 | 3.0 |
Track, Data Science (CSDA)
Courses (CSDA)
Prerequisites:
SF1626 Calculus in Several Variable, 7,5 credits (or equivalent).
Information:
DD2421 Machine Learning, can not be included in the track if DD1420 Foundations of Machine Learning, has been taken before. In that case, the DD2421 must be replaced with a conditionally elective course within the track.
Mandatory courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DD2421 Machine Learning | 60242 | 7.5 credits | 7.5 |
Mandatory courses for both subtracks:
- DD2421 Machine Learning,
- DD2430 Project Course in Data Science.
One of the subtracks must be chosen:
Subtrack 1: Machine Learning
Mandatory course:
- DD2424 Deep Learning in Data Science
One of these courses must be taken:
- DD2434 Machine Learning Advanced Course
- DD2437 Artificial Neural Networks and Deep Architectures
- DD2420 Probabilistic Graphical Models.
Subtrack 2: Natural Language Processing
Mandatory courses:
- DD2477 Search Engines and Information Retrieval Systems
- DD2417 Language Engineering.
Some courses may be given every two years.
Conditionally elective courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DD2420 Probabilistic Graphical ModelsConditionally elective for the subtrack Machine learning | 60271 | 7.5 credits | 7.5 | |||
DD2477 Search Engines and Information Retrieval SystemsCompulsory for the subtrack Natural Language Processing | 60251 | 7.5 credits | 4.5 | 3.0 | ||
DD2417 Language EngineeringCompulsory for the subtrack Natural Language Processing | 60246 | 7.5 credits | 7.5 | |||
DD2424 Deep Learning in Data ScienceCompulsory for the subtrack Machine Learning | 60228 | 7.5 credits | 7.5 |
Recommended courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DH2321 Information Visualization | 60231 | 6.0 credits | 6.0 | |||
DT2112 Speech Technology | 60248 | 7.5 credits | 7.5 | |||
DD2438 Artificial Intelligence and Multi Agent Systems | 60247 | 15.0 credits | 7.0 | 8.0 | ||
DT2119 Speech and Speaker Recognition | 60252 | 7.5 credits | 7.5 |
Track, Interaction Design (CSID)
Courses (CSID)
Mandatory courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DH2628 Interaction Design Methods | 60261 | 7.5 credits | 7.5 |
At least 13,5 credits (either 7,5+7,5 credits, or 7,5+6+3 credits, or 9+6 hp, or 6+6+3 hp) must be taken:
- DH2400 Physical Interaction Design and Realization
- DH2632 Human-Computer Interaction Research Seminars
- DH2408 Evaluation Methods in Human-Computer Interaction
- DM2586 Generative AI for Media Technology and Interaction Design
- DH2670 Haptics, Tactile and Tangible Interaction
- DT2140 Multimodal Interaction and Interfaces.
Some courses may be given every two years.
Conditionally elective courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DM2586 Generative AI for Media Technology and Interaction Design | 60295 | 7.5 credits | 7.5 | |||
DH2632 Human-Computer Interaction, Research Seminars | 60262 | 3.0 credits | 1.5 | 1.5 | ||
DH2400 Physical Interaction Design and Realization | 60263 | 7.5 credits | 7.5 | |||
DH2670 Haptics, Tactile and Tangible Interaction | 60300 | 7.5 credits | 7.5 |
Track, Scientific Computing (CSSC)
Courses (CSSC)
One of the subtracks must be taken.
Subtrack 1: High Performance Computing
Mandatory courses within the subtrack:
- DD2358 Introduction to High Performance Computing
- DD2356 Methods in High Performance Computing
- DD2360 Applied GPU Programming.
One of the courses should be taken:
- DD2443 Parallel and Distributed Computing
- DD2367 Quantum Computing for Computer Scientists
- DD2375 Project Course in High-Performance Computing.
Subtrack 2: Computational Science
Mandatory courses within the subtrack:
- DD2365 Advanced Computation in Fluid Mechanics
- DD2363 Methods in Scientific Computing
- DD2444 Project Course in Scientific Computing.
One of the courses should be taken:
- DD2370 Computational Methods for Electromagnetics
- DD2360 Applied GPU Programming
- DD2257 Visualization.
Some courses may be given every two years.
Conditionally elective courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DD2358 Introduction to High Performance ComputingMandatory for the subtrack High Performance Computing | 60244 | 7.5 credits | 7.5 | |||
DD2363 Methods in Scientific ComputingMandatory for the subtrack Computational Science | 60238 | 7.5 credits | 7.5 | |||
DD2356 Methods in High Performance ComputingMandatory for the subtrack High Performance Computing | 61420 | 7.5 credits | 7.5 | |||
DD2365 Advanced Computation in Fluid MechanicsMandatory for the subtrack Computational Science | 60241 | 7.5 credits | 7.5 |
Recommended courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DD2421 Machine Learning | 60242 | 7.5 credits | 7.5 | |||
DT2212 Music Acoustics | 60239 | 7.5 credits | 7.5 | |||
CM2014 Simulation Methods in Medical Engineering | 60245 | 7.5 credits | 4.5 | 3.0 | ||
DD2401 Neuroscience | 61428 | 7.5 credits | 7.5 |
Track, Software Technology (CSST)
Courses (CSST)
Mandatory courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DD2480 Software Engineering Fundamentals | 60260 | 7.5 credits | 7.5 |
One of the subtracks must be chosen:
Subtrack 1: Programming Languages
Mandatory course:
- DD2481 Principles of Programming Languages.
One course must be taken (DD2373 and DD2557 are given alternately every two years):
- DD2373 Automata and Languages (given Spring 2026)
- DD2557 Program Semantics and Analysis (given Spring 2027)
- DD2525 Language-Based Security.
One of these must be taken:
- ID2202 Compilers and Execution Environments
- DD2484 Advanced Topics in Programming Languages.
Subtrack 2: Software Engineering
One of these must be taken:
- DD2489 Scalable software Development with Functional Programming
- DD2497 Project course in System Security
At least two courses must be taken (DD2482 and DD2485 are given alternately every two years):
- DD2443 Parallel and Distributed Computing
- DD2459 Software Reliability
- DD2460 Software Safety and Security
- DD2481 Principles of Programming Languages
- DD2525 Language-Based Security
- DD2482 Automated Software Testing and DevOps (given every two years, will be given Autumn 2026)
- DD2485 Programmable Society (given every two years, not given Autumn 2026)
- DD2528 Dependable Autonomous Systems (given every two years, not given Autumn 2026).
Some courses may be given every two years.
Conditionally elective courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DD2528 Dependable Autonomous SystemsConditionally elective for the subtrack Software Engineering | 50512 | 7.5 credits | 7.5 | |||
DD2585 Programmable Society with Blockchains and Smart ContractsConditionally elective for the subtrack Software Engineering | 10072 | 7.5 credits | 7.5 | |||
DD2459 Software ReliabilityConditionally elective for the subtrack Software Engineering | 60578 | 7.5 credits | 7.5 | |||
DD2373 Automata and LanguagesConditionally elective for the subtrack Programming Languages | 60427 | 7.5 credits | 7.5 | |||
DD2481 Principles of Programming LanguagesMandatory for the subtrack Programming Languages and conditionally elective for the subtrack Software Engineering | 60254 | 7.5 credits | 7.5 | |||
DD2525 Language-Based SecurityConditionally elective for the both subtracks Programming Languages, and Software Engineering | 60253 | 7.5 credits | 7.5 |
Recommended courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DD2421 Machine Learning | 60242 | 7.5 credits | 7.5 | |||
ID1217 Concurrent Programming | 60205 | 7.5 credits | 7.5 | |||
DD2477 Search Engines and Information Retrieval Systems | 60251 | 7.5 credits | 4.5 | 3.0 |
Track, Theoretical Computer Science (CSTC)
Courses (CSTC)
Mandatory course for all:
DD2467 Individual Project in Theoretical Computer Science 7,5 credits
All should take at least one of these courses:
- SF2740 Graph Theory (will be given every two years, given in Autumn 2027),
- SF2972 Game Theory
- SF2940 Probability Theory,
- SF2741 Enumerative Combinatorics (will be given every two years, given in Autumn 2026),
- SF2930 Regression Analysis,
- SF2956 Topological Data Analysis.
The student may propose a change to other courses in mathematics at advanced level and a total of at least 7,5 credits. The proposal is submitted to the Master Coordinator well in advance of the course start. The course change must be approved by the Programme Director. In addition, one of the sub-tracks must be selected:
Subtrack 1: Algorithms, Complexity and Cryptography
Mandatory course:
- DD2448 Foundations of Cryptography.
At least one of must be taken:
- DD2542 Seminars on Theoretical Computer Science, Algorithms and Complexity (will be given every two years, given in Autumn 2026),
- DD2445 Complexity Theory (will be given every two years, given in Autumn 2027).
Subtrack 2: Formal Methods and Semantics
At least one must be taken:
- DD2452 Formal Methods (will be given every two years, given in Autumn 2026),
- DD2552 Seminars on Theoretical Computer Science, Programming Languages and Formal Methods (will be given every two years, given in Autumn 2027).
At least 7,5 credits must be taken:
- DD2459 Software Reliability,
- DD2557 Program Semantics and Analysis (will be given every two years, given in Spring 2027)
- DD2460 Software Safety and Security
- DD2373 Automata and Languages (will be given every two years, given in Spring 2026)
- DD2443 Parallel and Distributed Computing.
Conditionally elective courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DD2445 Complexity TheoryConditionally elective for the subtrack Algorithms, Complexity and Cryptography | 50474 | 7.5 credits | 7.5 | |||
DD2552 Seminars on Theoretical Computer Science, Programming Languages and Formal MethodsConditionally elective for the subtrack Formal Methods and Semantics | 50062 | 7.5 credits | 7.5 | |||
SF2940 Probability Theory | 50309 | 7.5 credits | 7.5 | |||
SF2956 Topological Data Analysis | 50308 | 7.5 credits | 7.5 | |||
SF2740 Graph Theory | 50365 | 7.5 credits | 3.7 | 3.8 | ||
DD2459 Software ReliabilityConditionally elective for the subtrack Formal Methods and Semantics | 60578 | 7.5 credits | 7.5 | |||
SF2930 Regression Analysis | 60237 | 7.5 credits | 7.5 | |||
SF2972 Game Theory | 60236 | 7.5 credits | 7.5 | |||
DD2373 Automata and LanguagesConditionally elective for the subtrack Formal Methods and Semantics | 60427 | 7.5 credits | 7.5 | |||
DD2448 Foundations of CryptographyMandatory for the subtrack Algorithms, Complexity and Cryptography | 60233 | 7.5 credits | 7.5 | |||
DD2460 Software Safety and SecurityConditionally elective for the subtrack Formal Methods and Semantics | 60153 | 7.5 credits | 7.5 |
Recommended courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
ID1217 Concurrent Programming | 60205 | 7.5 credits | 7.5 |
Track, Visualization and Interactive Graphics (CSVG)
Courses (CSVG)
Mandatory courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DD2258 Introduction to Visualization, Computer Graphics and Image/Video Processing | 60229 | 7.5 credits | 7.5 |
At least 16,5 credits must be taken:
- DD2257 Visualization
- DH2321 Information Visualization
- DH2310 Extended Reality in Theory and Practice
- DH2323 Computer Graphics and Interaction
- DH2413 Advanced Graphics and Interaction
- DH2650 Computer Game Design.
Conditionally elective courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DH2310 Extended Reality in Theory and Practice | 61196 | 7.5 credits | 7.5 | |||
DH2321 Information Visualization | 60231 | 6.0 credits | 6.0 | |||
DH2323 Computer Graphics and Interaction | 60226 | 6.0 credits | 6.0 | |||
DH2650 Computer Game Design | 60230 | 6.0 credits | 6.0 |
Recommended courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
DD2356 Methods in High Performance Computing | 61420 | 7.5 credits | 7.5 | |||
DD2424 Deep Learning in Data Science | 60228 | 7.5 credits | 7.5 |