Courses for Computer Science

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 for all tracks

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.

One of the subtracks must be taken.

Subtrack 1: Vision and Robotics

Mandatory courses:

DD2424 Deep Learning in Data Science
DD2410 Introduction to Robotics
DD2423 Image Analysis and Computer Vision

Subtrack 2: Conversational System

Mandatory course:

DT2151 Project in Conversational Systems

At least one must be taken:

DT2112 Speech Technology
DT2119 Speech and Speaker Recognition

At least 7,5 credits must be taken from:

DD2424 Deep Learning in Data Science
DD2437 Artificial Neural Networks and Deep Architectures
DT2140 Multimodal Interaction and Interfaces
DD2417 Language Engineering.

Some courses may be given every two years.

Mandatory courses

Machine Learning (DD2421) 7.5 credits

Conditionally elective courses

Recommended courses

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 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.

Mandatory courses

Machine Learning (DD2421) 7.5 credits

Conditionally elective course

Recommended 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:

- DH2321 Information Visualization
- DH2400 Physical Interaction Design and Realization
- DH2632 Human-Computer Interaction Research Seminars
- DH2408 Evaluation Methods in Human-Computer Interaction
- DH2413 Advanced Graphics and Interaction
- DT2140 Multimodal Interaction and Interfaces.

Some courses may be given every two years.

Mandatory courses

Interaction Design Methods (DH2628) 7.5 credits

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:
- DD2370 Computational Methods for Electromagnetics
- DD2367 Quantum Computing for Computer Scientists
- DD2375 Project Course in High-Performance Computing.

Subtrack 2: Computational Science

Mandatory courses within the subtrack:
- DD2356 Methods in High Performance Computing
- DD2363 Methods in Scientific Computing
- DD2444 Project Course in Scientific Computing.

One of the courses should be taken:
- DD2437 Artificial Neural Networks and Deep Architectures
- DD2257 Visualization
- DD2365 Advanced Computation in Fluid Mechanics.

Some courses may be given every two years.

Mandatory courses

Methods in High Performance Computing (DD2356) 7.5 credits

Conditionally elective courses

Recommended 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 2025)
- 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:
- DD2443 Parallel and Distributed Computing
- DD2459 Software Reliability
- DD2460 Software Safety and Security (will not be given Spring 2025)
- DD2481 Principles of Programming Languages
- DD2482 Automated Software Testing and DevOps
- DD2485 Programmable Society
- DD2528 Dependable Autonomous Systems (given every two years, not given in Autumn 2024).

Some courses may be given every two years.

Mandatory courses

Software Engineering Fundamentals (DD2480) 7.5 credits

Conditionally elective courses

Recommended courses

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 2025),
- SF2972 Game Theory
- SF2940 Probability Theory,
- SF2741 Enumerative Combinatorics (will be given every two years, given in Autumn 2024),
- 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 2024),
- DD2445 Complexity Theory (will be given every two years, given in Autumn 2025).

Subtrack 2: Formal Methods and Semantics

At least one must be taken:
- DD2452 Formal Methods (will be given every two years, given in Autumn 2024),
- DD2552 Seminars on Theoretical Computer Science, Programming Languages and Formal Methods (will be given every two years, given in Autumn 2025).

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 2025),
- DD2460 Software Safety and Security, (will not be given in Spring 2025)
- DD2373 Automata and Languages (will be given every two years, given in Spring 2026),
- DD2443 Parallel and Distributed Computing.

Conditionally elective courses

Recommended courses

Concurrent Programming (ID1217) 7.5 credits

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.

Mandatory courses

Introduction to Visualization, Computer Graphics and Image/Video Processing (DD2258) 7.5 credits

Conditionally elective courses

Recommended courses

Mandatory courses for all tracks

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

One of the subtracks must be taken.

Subtrack 1: Vision and Robotics

Mandatory courses:
- DD2424 Deep Learning in Data Science
- DD2410 Introduction to Robotics
- DD2423 Image Analysis and Computer Vision

Subtrack 2: Conversational System

Mandatory course:
- DT2151 Project in Conversational Systems

At least one must be taken:
- DT2112 Speech Technology
- DT2119 Speech and Speaker Recognition

At least 7,5 credits must be taken from:
- DD2424 Deep Learning in Data Science
- DD2437 Artificial Neural Networks and Deep Architectures
- DT2140 Multimodal Interaction and Interfaces
- DD2417 Language Engineering.

Some courses may be given every two years.

Conditionally elective courses

Recommended courses

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

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.

Mandatory courses

Project Course in Data Science (DD2430) 7.5 credits

Conditionally elective courses

Recommended 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:

- DH2321 Information Visualization
- DH2400 Physical Interaction Design and Realization
- DH2632 Human-Computer Interaction Research Seminars
- DH2408 Evaluation Methods in Human-Computer Interaction
- DH2413 Advanced Graphics and Interaction
- DT2140 Multimodal Interaction and Interfaces.

Some courses may be given every two years.

Mandatory courses

User Experience Design and Evaluation (DM2630) 9.0 credits

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:
- DD2370 Computational Methods for Electromagnetics
- DD2367 Quantum Computing for Computer Scientists
- DD2375 Project Course in High-Performance Computing.

Subtrack 2: Computational Science

Mandatory courses within the subtrack:
- DD2356 Methods in High Performance Computing
- DD2363 Methods in Scientific Computing
- DD2444 Project Course in Scientific Computing.

One of the courses should be taken:
- DD2437 Artificial Neural Networks and Deep Architectures
- DD2257 Visualization
- DD2365 Advanced Computation in Fluid Mechanics.

Some courses may be given every two years.

Conditionally elective courses

Recommended 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 2025)
- 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:
- DD2443 Parallel and Distributed Computing
- DD2459 Software Reliability
- DD2460 Software Safety and Security (will not be given Spring 2025)
- DD2481 Principles of Programming Languages
- DD2482 Automated Software Testing and DevOps
- DD2485 Programmable Society
- DD2528 Dependable Autonomous Systems (given every two years, not given in Autumn 2024).

Some courses may be given every two years.

Conditionally elective courses

Recommended courses

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 2025),
- SF2972 Game Theory
- SF2940 Probability Theory,
- SF2741 Enumerative Combinatorics (will be given every two years, given in Autumn 2024),
- 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 Fall 2024),
- DD2445 Complexity Theory (will be given every two years, given in Fall 2025).

Subtrack 2: Formal Methods and Semantics

At least one must be taken:
- DD2452 Formal Methods (will be given every two years, given in Fall 2024),
- DD2552 Seminars on Theoretical Computer Science, Programming Languages and Formal Methods (will be given every two years, given in Fall 2025).

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 2025),
- DD2460 Software Safety and Security, (will not be given in Spring 2025),
- DD2373 Automata and Languages (will be given every two years, given in Spring 2026),
- DD2443 Parallel and Distributed Computing.

Mandatory courses

Individual Project in Theoretical Computer Science (DD2467) 7.5 credits

Conditionally elective courses

Recommended 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.

Mandatory courses

Advanced Topics in Visualization and Computer Graphics (DD2470) 6.0 credits

Year 1

Mandatory courses for all tracks

Mandatory courses

Conditionally elective courses

Recommended courses

Mandatory courses

Conditionally elective course

Recommended courses

Mandatory courses

Conditionally elective courses

Mandatory courses

Conditionally elective courses

Recommended courses

Mandatory courses

Conditionally elective courses

Recommended courses

Conditionally elective courses

Recommended courses

Mandatory courses

Conditionally elective courses

Recommended courses

Year 2

Mandatory courses for all tracks

Conditionally elective courses

Recommended courses

Mandatory courses

Conditionally elective courses

Recommended courses

Mandatory courses

Conditionally elective courses

Conditionally elective courses

Recommended courses

Conditionally elective courses

Recommended courses

Mandatory courses

Conditionally elective courses

Recommended courses

Mandatory courses

Conditionally elective courses

Recommended courses

Computer Science

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