Master's Programme, Computer Science (TCSCM), Programme syllabus for studies starting in Autumn 2025

General Courses

Study year 1

Mandatory courses (32.0 hp)

Course code	Course name	Credits	Edu. level
DA2210	Introduction to the Philosophy of Science and Research Methodology for Computer Scientists	6.0 hp	Second cycle
DD2300	Program Integrating Course in Computer ScienceOne credit each academic year	2.0 hp	Second cycle
DD2380	Artificial Intelligence	6.0 hp	Second cycle
DD2395	Computer Security	6.0 hp	Second cycle
DD2440	Advanced Algorithms	6.0 hp	Second cycle
IK2218	Protocols and Principles of the Internet	6.0 hp	Second cycle

Supplementary information

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.

Study year 2

Mandatory courses (32.0 hp)

Course code	Course name	Credits	Edu. level
DA231X	Degree Project in Computer Science and Engineering, Second Cycle	30.0 hp	Second cycle
DD2300	Program Integrating Course in Computer ScienceOne credit each academic year	2.0 hp	Second cycle

Track, Cognitive Systems (CSCS)

Study year 1

Mandatory courses (7.5 hp)

Course code	Course name	Credits	Edu. level
DD2421	Machine Learning	7.5 hp	Second cycle

Conditionally elective courses

Course code	Course name	Credits	Edu. level
DD2417	Language EngineeringMandatory for the subtrack Conversational systems	7.5 hp	Second cycle
DD2419	Project Course in Robotics and Autonomous SystemsConditionally elective for the subtrack Vision and Robotics	9.0 hp	Second cycle
DD2424	Deep Learning in Data ScienceMandatory for subtrack Vision and Robotics	7.5 hp	Second cycle
DT2112	Speech TechnologyConditionally elective for the subtrack Conversational systems	7.5 hp	Second cycle
DT2119	Speech and Speaker RecognitionConditionally elective for the subtrack Conversational systems	7.5 hp	Second cycle

Recommended courses

Course code	Course name	Credits	Edu. level
DD2438	Artificial Intelligence and Multi Agent Systems	15.0 hp	Second cycle
DD2477	Search Engines and Information Retrieval Systems	7.5 hp	Second cycle

Supplementary information

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.

Information regarding conditionally elective courses

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.

Study year 2

Conditionally elective courses

Course code	Course name	Credits	Edu. level
DD2410	Introduction to RoboticsConditionally elective for the subtrack Vision and robotics	7.5 hp	Second cycle
DD2413	Social RoboticsConditionally elective for the subtrack Vision and robotics	7.5 hp	Second cycle
DD2423	Image Analysis and Computer VisionConditionally elective for the subtrack Vision and robotics	7.5 hp	Second cycle
DT2140	Multimodal Interaction and InterfacesConditionally elective for the subtrack Conversational systems	7.5 hp	Second cycle
DT2151	Project in Conversational SystemsMandatory for the subtrack Conversational systems	7.5 hp	Second cycle

Recommended courses

Course code	Course name	Credits	Edu. level
DD2417	Language Engineering	7.5 hp	Second cycle
DD2434	Machine Learning, Advanced Course	7.5 hp	Second cycle
DD2438	Artificial Intelligence and Multi Agent Systems	15.0 hp	Second cycle
DD2447	Statistical Methods in Applied Computer Science	6.0 hp	Second cycle
DD2477	Search Engines and Information Retrieval Systems	7.5 hp	Second cycle
EL2320	Applied Estimation	7.5 hp	Second cycle
SF1861	Optimization	6.0 hp	First cycle
SF2940	Probability Theory	7.5 hp	Second cycle

Supplementary information

Prerequisites: SF1626 Calculus in Several Variables, 7,5 credits (or equivalent).

Information regarding conditionally elective courses

One of the subtracks must be taken.

Subtrack 1: Vision and Robotics

Mandatory course:
- DD2424 Deep Learning in Data Science

At least one of these must be taken:
- DD2419 Project Course in Robotics and Autonomous Systems
- DD2410 Introduction to Robotics

At least one of these 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.

Track, Data Science (CSDA)

Study year 1

Mandatory courses (7.5 hp)

Course code	Course name	Credits	Edu. level
DD2421	Machine Learning	7.5 hp	Second cycle

Conditionally elective courses

Course code	Course name	Credits	Edu. level
DD2417	Language EngineeringCompulsory for the subtrack Natural Language Processing	7.5 hp	Second cycle
DD2420	Probabilistic Graphical ModelsConditionally elective for the subtrack Machine learning	7.5 hp	Second cycle
DD2424	Deep Learning in Data ScienceCompulsory for the subtrack Machine Learning	7.5 hp	Second cycle
DD2477	Search Engines and Information Retrieval SystemsCompulsory for the subtrack Natural Language Processing	7.5 hp	Second cycle

Recommended courses

Course code	Course name	Credits	Edu. level
DD2438	Artificial Intelligence and Multi Agent Systems	15.0 hp	Second cycle
DH2321	Information Visualization	6.0 hp	Second cycle
DT2112	Speech Technology	7.5 hp	Second cycle
DT2119	Speech and Speaker Recognition	7.5 hp	Second cycle

Supplementary information

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.

Information regarding conditionally elective courses

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.

Study year 2

Mandatory courses (7.5 hp)

Course code	Course name	Credits	Edu. level
DD2430	Project Course in Data Science	7.5 hp	Second cycle

Conditionally elective courses

Course code	Course name	Credits	Edu. level
DD2434	Machine Learning, Advanced CourseConditionally elective for the subtrack Machine learning	7.5 hp	Second cycle
DD2437	Artificial Neural Networks and Deep ArchitecturesConditionally elective for the subtrack Machine learning	7.5 hp	Second cycle

Recommended courses

Course code	Course name	Credits	Edu. level
DD2257	Visualization	7.5 hp	Second cycle
DD2368	Quantum Neural Networks	7.5 hp	Second cycle
DD2413	Social Robotics	7.5 hp	Second cycle
DD2423	Image Analysis and Computer Vision	7.5 hp	Second cycle
DD2447	Statistical Methods in Applied Computer Science	6.0 hp	Second cycle
DD2610	Deep Learning, advanced course	7.5 hp	Second cycle
EL2320	Applied Estimation	7.5 hp	Second cycle
ID2222	Data Mining	7.5 hp	Second cycle
ID2223	Scalable Machine Learning and Deep Learning	7.5 hp	Second cycle
SF1811	Optimization	6.0 hp	First cycle
SF2940	Probability Theory	7.5 hp	Second cycle

Supplementary information

Prerequisites: SF1626 Calculus in Several Variable, 7,5 credits (or equivalent).

Information regarding conditionally elective courses

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.

Track, Interaction Design (CSID)

Study year 1

Mandatory courses (7.5 hp)

Course code	Course name	Credits	Edu. level
DH2628	Interaction Design Methods	7.5 hp	Second cycle

Conditionally elective courses

Course code	Course name	Credits	Edu. level
DH2400	Physical Interaction Design and Realization	7.5 hp	Second cycle
DH2632	Human-Computer Interaction, Research Seminars	3.0 hp	Second cycle
DH2670	Haptics, Tactile and Tangible Interaction	7.5 hp	Second cycle
DM2586	Generative AI for Media Technology and Interaction Design	7.5 hp	Second cycle

Information regarding conditionally elective courses

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.

Study year 2

Mandatory courses (9.0 hp)

Course code	Course name	Credits	Edu. level
DM2630	User Experience Design and Evaluation	9.0 hp	Second cycle

Conditionally elective courses

Course code	Course name	Credits	Edu. level
DH2408	Evaluation Methods in Human-Computer Interaction	6.0 hp	Second cycle
DT2140	Multimodal Interaction and Interfaces	7.5 hp	Second cycle

Information regarding conditionally elective courses

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
- DM2586 Generative AI for Media Technology and Interaction Design
- DH2670 Haptics, Tactile and Tangible Interaction
- DH2408 Evaluation Methods in Human-Computer Interaction
- DT2140 Multimodal Interaction and Interfaces.

Some courses may be given every two years.

Track, Scientific Computing (CSSC)

Study year 1

Conditionally elective courses

Course code	Course name	Credits	Edu. level
DD2356	Methods in High Performance ComputingMandatory for the subtrack High Performance Computing	7.5 hp	Second cycle
DD2358	Introduction to High Performance ComputingMandatory for the subtrack High Performance Computing	7.5 hp	Second cycle
DD2363	Methods in Scientific ComputingMandatory for the subtrack Computational Science	7.5 hp	Second cycle
DD2365	Advanced Computation in Fluid MechanicsMandatory for the subtrack Computational Science	7.5 hp	Second cycle

Recommended courses

Course code	Course name	Credits	Edu. level
CM2014	Simulation Methods in Medical Engineering	7.5 hp	Second cycle
DD2401	Neuroscience	7.5 hp	Second cycle
DD2421	Machine Learning	7.5 hp	Second cycle
DT2212	Music Acoustics	7.5 hp	Second cycle

Supplementary information

Information regarding conditionally elective courses

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.

Study year 2

Conditionally elective courses

Course code	Course name	Credits	Edu. level
DD2257	VisualizationConditionally elective for the subtrack Computational Science	7.5 hp	Second cycle
DD2360	Applied GPU ProgrammingMandatory for the subtrack High Performance Computing. Conditionally elective for the subtrack Computational Science	7.5 hp	Second cycle
DD2367	Quantum Computing for Computer ScientistsConditionally elective for the subtrack High Performance Computing	7.5 hp	Second cycle
DD2370	Computational Methods for ElectromagneticsConditionally elective for the subtrack Computational Science	7.5 hp	Second cycle
DD2375	Project Course in High-Performance ComputingConditionally elective for the subtrack High Performance Computing	7.5 hp	Second cycle
DD2443	Parallel and Distributed ComputingConditionally elective for the subtrack High Performance Computing	7.5 hp	Second cycle
DD2444	Project Course in Scientific ComputingMandatory for the subtrack Computational Science	7.5 hp	Second cycle

Recommended courses

Course code	Course name	Credits	Edu. level
BB2280	Molecular Modeling	7.5 hp	Second cycle
DD2366	Open Quantum Systems	7.5 hp	Second cycle
DD2402	Advanced Individual Course in Computational Biology	6.0 hp	Second cycle
DD2421	Machine Learning	7.5 hp	Second cycle
DD2435	Mathematical Modelling of Biological Systems	9.0 hp	Second cycle
EL2820	Modelling of Dynamical Systems	7.5 hp	Second cycle
SF2561	The Finite Element Method	7.5 hp	Second cycle
SF2565	Program Construction in C++ for Scientific Computing	7.5 hp	Second cycle

Supplementary information

Information regarding conditionally elective courses

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 Tillämpad GPU-programmering
- DD2257 Visualization.

Some courses may be given every two years.

Track, Software Technology (CSST)

Study year 1

Mandatory courses (7.5 hp)

Course code	Course name	Credits	Edu. level
DD2480	Software Engineering Fundamentals	7.5 hp	Second cycle

Conditionally elective courses

Course code	Course name	Credits	Edu. level
DD2373	Automata and LanguagesConditionally elective for the subtrack Programming Languages	7.5 hp	Second cycle
DD2459	Software ReliabilityConditionally elective for the subtrack Software Engineering	7.5 hp	Second cycle
DD2481	Principles of Programming LanguagesMandatory for the subtrack Programming Languages and conditionally elective for the subtrack Software Engineering	7.5 hp	Second cycle
DD2525	Language-Based SecurityConditionally elective for the both subtracks Programming Languages, and Software Engineering	7.5 hp	Second cycle
DD2528	Dependable Autonomous SystemsConditionally elective for the subtrack Software Engineering	7.5 hp	Second cycle
DD2585	Programmable Society with Blockchains and Smart ContractsConditionally elective for the subtrack Software Engineering	7.5 hp	Second cycle

Recommended courses

Course code	Course name	Credits	Edu. level
DD2421	Machine Learning	7.5 hp	Second cycle
DD2477	Search Engines and Information Retrieval Systems	7.5 hp	Second cycle
ID1217	Concurrent Programming	7.5 hp	First cycle

Information regarding conditionally elective courses

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.

Study year 2

Conditionally elective courses

Course code	Course name	Credits	Edu. level
DD2443	Parallel and Distributed ComputingConditionally elective for the subtrack Software Engineering	7.5 hp	Second cycle
DD2460	Software Safety and SecurityConditionally elective for the subtrack Software Engineering	7.5 hp	Second cycle
DD2482	Automated Software Testing and DevOpsConditionally elective for the subtrack Software Engineering	7.5 hp	Second cycle
DD2484	Advanced Topics in Programming LanguagesConditionally elective for the subtrack Programming Languages	7.5 hp	Second cycle
DD2489	Scalable software Development with Functional ProgrammingConditionally elective for the subtrack Software Engineering	7.5 hp	Second cycle
DD2497	Project course in System SecurityConditionally elective for the subtrack Software Engineering	7.5 hp	Second cycle
DD2557	Program Semantics and AnalysisConditionally elective for the subtrack Programming Languages	7.5 hp	Second cycle
ID2202	Compilers and Execution EnvironmentsConditionally elective for the subtrack Programming Languages	7.5 hp	Second cycle

Recommended courses

Course code	Course name	Credits	Edu. level
DD2421	Machine Learning	7.5 hp	Second cycle
DD2458	Problem Solving and Programming under Pressure	9.0 hp	Second cycle
DD2477	Search Engines and Information Retrieval Systems	7.5 hp	Second cycle
ID1217	Concurrent Programming	7.5 hp	First cycle
IK2215	Advanced Internetworking	7.5 hp	Second cycle
IK2221	Networked Systems for Machine Learning	7.5 hp	Second cycle
IK2227	Network Systems with Edge or Cloud Datacenters	7.5 hp	Second cycle

Information regarding conditionally elective courses

One of the subtracks must be chosen:

Subtrack 1: Programming Languages

Mandatory course:
- DD2481 Principles of Programming Languages.

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, given HT26)
- DD2485 Programmable Society (given every two years, not given Autumn 2026)
- DD2528 Dependable Autonomous Systems (given every two years, not given in Autumn 2026).

Some courses may be given every two years.

Track, Theoretical Computer Science (CSTC)

Study year 1

Conditionally elective courses

Course code	Course name	Credits	Edu. level
DD2373	Automata and LanguagesConditionally elective for the subtrack Formal Methods and Semantics	7.5 hp	Second cycle
DD2445	Complexity TheoryConditionally elective for the subtrack Algorithms, Complexity and Cryptography	7.5 hp	Second cycle
DD2448	Foundations of CryptographyMandatory for the subtrack Algorithms, Complexity and Cryptography	7.5 hp	Second cycle
DD2459	Software ReliabilityConditionally elective for the subtrack Formal Methods and Semantics	7.5 hp	Second cycle
DD2460	Software Safety and SecurityConditionally elective for the subtrack Formal Methods and Semantics	7.5 hp	Second cycle
DD2552	Seminars on Theoretical Computer Science, Programming Languages and Formal MethodsConditionally elective for the subtrack Formal Methods and Semantics	7.5 hp	Second cycle
SF2740	Graph Theory	7.5 hp	Second cycle
SF2930	Regression Analysis	7.5 hp	Second cycle
SF2940	Probability Theory	7.5 hp	Second cycle
SF2956	Topological Data Analysis	7.5 hp	Second cycle
SF2972	Game Theory	7.5 hp	Second cycle

Recommended courses

Course code	Course name	Credits	Edu. level
ID1217	Concurrent Programming	7.5 hp	First cycle

Supplementary information

Mandatory course for all:
DD2467 Individual Project in Theoretical Computer Science 7,5 credits

Information regarding conditionally elective courses

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.

Study year 2

Mandatory courses (7.5 hp)

Course code	Course name	Credits	Edu. level
DD2467	Individual Project in Theoretical Computer Science	7.5 hp	Second cycle

Conditionally elective courses

Course code	Course name	Credits	Edu. level
DD2443	Parallel and Distributed ComputingConditionally elective for the subtrack Formal Methods and Semantics	7.5 hp	Second cycle
DD2452	Formal MethodsConditionally elective for the subtrack Formal Methods and Semantics	7.5 hp	Second cycle
DD2460	Software Safety and SecurityConditionally elective for the subtrack Formal Methods and Semantics	7.5 hp	Second cycle
DD2542	Seminars on Theoretical Computer Science, Algorithms and ComplexityConditionally elective for the subtrack Algorithms, Complexity and Cryptography	7.5 hp	Second cycle
DD2557	Program Semantics and AnalysisConditionally elective for the subtrack Formal Methods and Semantics	7.5 hp	Second cycle
SF2741	Enumerative Combinatorics	7.5 hp	Second cycle
SF2930	Regression Analysis	7.5 hp	Second cycle
SF2940	Probability Theory	7.5 hp	Second cycle
SF2956	Topological Data Analysis	7.5 hp	Second cycle
SF2972	Game Theory	7.5 hp	Second cycle

Recommended courses

Course code	Course name	Credits	Edu. level
DD2366	Open Quantum Systems	7.5 hp	Second cycle
DD2367	Quantum Computing for Computer Scientists	7.5 hp	Second cycle
DD2447	Statistical Methods in Applied Computer Science	6.0 hp	Second cycle
DD2458	Problem Solving and Programming under Pressure	9.0 hp	Second cycle

Supplementary information

Mandatory course for all:
DD2467 Individual Project in Theoretical Computer Science, 7,5 credits

Information regarding conditionally elective courses

All should take at least one of these courses:

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 Fall 2026),
- DD2445 Complexity Theory (will be given every two years, given in Fall 2027).

Subtrack 2: Formal Methods and Semantics

At least one must be taken:
- DD2452 Formal Methods (will be given every two years, given in Fall 2026),
- DD2552 Seminars on Theoretical Computer Science, Programming Languages and Formal Methods (will be given every two years, given in Fall 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.

Track, Visualization and Interactive Graphics (CSVG)

Study year 1

Mandatory courses (7.5 hp)

Course code	Course name	Credits	Edu. level
DD2258	Introduction to Visualization, Computer Graphics and Image/Video Processing	7.5 hp	Second cycle

Conditionally elective courses

Course code	Course name	Credits	Edu. level
DH2310	Extended Reality in Theory and Practice	7.5 hp	Second cycle
DH2321	Information Visualization	6.0 hp	Second cycle
DH2323	Computer Graphics and Interaction	6.0 hp	Second cycle
DH2650	Computer Game Design	6.0 hp	Second cycle

Recommended courses

Course code	Course name	Credits	Edu. level
DD2356	Methods in High Performance Computing	7.5 hp	Second cycle
DD2424	Deep Learning in Data Science	7.5 hp	Second cycle

Information regarding conditionally elective courses

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.

Study year 2

Mandatory courses (6.0 hp)

Course code	Course name	Credits	Edu. level
DD2470	Advanced Topics in Visualization and Computer Graphics	6.0 hp	Second cycle

Conditionally elective courses

Course code	Course name	Credits	Edu. level
DD2257	Visualization	7.5 hp	Second cycle
DH2413	Advanced Graphics and Interaction	9.0 hp	Second cycle

Recommended courses

Course code	Course name	Credits	Edu. level
DD2356	Methods in High Performance Computing	7.5 hp	Second cycle
DD2423	Image Analysis and Computer Vision	7.5 hp	Second cycle
DD2424	Deep Learning in Data Science	7.5 hp	Second cycle
DM2350	Human Perception for Information Technology	7.5 hp	Second cycle

Information regarding conditionally elective courses

At least 16,5 credits must be taken:

- DD2257 Visualization
- DH2321 Information Visualization
- DH2323 Computer Graphics and Interaction
- DH2413 Advanced Graphics and Interaction
- DH2650 Computer Game Design.

Knowledge and understanding

Skills and abilities

Ability to make judgments and adopt a standpoint

Structure of the education

Courses

Grading system

Conditions for participation in the programme

Degree project

Degree

General Courses

Study year 1

Mandatory courses (32.0 hp)

Supplementary information

Study year 2

Mandatory courses (32.0 hp)

Track, Cognitive Systems (CSCS)

Study year 1

Mandatory courses (7.5 hp)

Conditionally elective courses

Recommended courses

Supplementary information

Information regarding conditionally elective courses

Study year 2

Conditionally elective courses

Recommended courses

Supplementary information

Information regarding conditionally elective courses

Track, Data Science (CSDA)

Study year 1

Mandatory courses (7.5 hp)

Conditionally elective courses

Recommended courses

Supplementary information

Information regarding conditionally elective courses

Study year 2

Mandatory courses (7.5 hp)

Conditionally elective courses

Recommended courses

Supplementary information

Information regarding conditionally elective courses

Track, Interaction Design (CSID)

Study year 1

Mandatory courses (7.5 hp)

Conditionally elective courses

Information regarding conditionally elective courses

Study year 2

Mandatory courses (9.0 hp)

Conditionally elective courses

Information regarding conditionally elective courses

Track, Scientific Computing (CSSC)

Study year 1

Conditionally elective courses

Recommended courses

Supplementary information

Information regarding conditionally elective courses

Study year 2

Conditionally elective courses

Recommended courses

Supplementary information

Information regarding conditionally elective courses

Track, Software Technology (CSST)

Study year 1

Mandatory courses (7.5 hp)

Conditionally elective courses

Recommended courses

Information regarding conditionally elective courses

Study year 2

Conditionally elective courses

Recommended courses

Information regarding conditionally elective courses

Track, Theoretical Computer Science (CSTC)

Study year 1

Conditionally elective courses

Recommended courses

Supplementary information

Information regarding conditionally elective courses

Study year 2

Mandatory courses (7.5 hp)

Conditionally elective courses

Recommended courses