Prospectus

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Computer Science: Computer Science and Science Communication and Society

Master

The Computer Science and Science Communication and Society (SCS) specialisation offers students the possibility to combine computer science and science communication.

Curriculum

The two-year, full-time programme (120 EC) consists of:

  • a minimum of 40 EC and a maximum of 60 EC of SCS specialisation components;

  • at least 30 EC of level-500 Specialisation courses and seminars in Computer Science to be selected in correspondence with the topic of the Master’s Thesis Research Project;

  • a Master's Thesis Research Project (30 EC) in one of the LIACS research groups.

See also

More information

  • If you are interested in the SCS specialisation or any of the courses, please request an application form at infoscs@biology.leidenuniv.nl.

  • For specific questions about programme content, curriculum choices and/or study planning, please contact the Computer Science study advisor or the SCS department.

  • Specialisation courses and seminars Computer Science
  • Research project Computer Science
  • Science Communication & Society component
  • Course levels
  • Career Preparation

A choice can be made from the specialisation courses and seminars below. The specialisation courses and seminars have level 400 - 500 and are 6 EC each.

Important notes:

Below is a list of course list name changes, per academic year. In all cases, the course with the old name is considered equivalent to the new one.

As of 1 September 2022, the following course name changes came into effect:

  • Advances in Deep Learning was renamed to Seminar Advances in Deep Learning; and

  • Computational Molecular Biology was renamed to Biological and Biomedical Informatics.

As of 1 September 2021, the following course name changes came into effect:

  • Information Retrieval and Text Analytics was renamed to Information Retrieval.

As of 1 September 2020, the following course name changes came into effect:

  • Advances in Model Checking was renamed to Software Verification;

  • Deep Learning and Neural Networks was renamed to Introduction to Deep Learning;

  • The following courses have limited availability. Details on the admission procedure can be found in the course descriptions:

    • Computational Imaging and Tomography
    • Bio-Modeling
    • Cloud Computing
    • Information Theoretic Data Mining
    • Seminar Advanced Deep Reinforcement Learning
    • Seminar Advances in Deep Learning
    • Seminar Trustworthy Artificial Intelligence
    • Sports Data Science
Course EC Semester 1 Semester 2

Fall semester

Advanced Data Management for Data Analysis 6
Advances in Data Mining 6
Audio Processing and Indexing 6
Automated Machine Learning 6
Bayesian Optimization 6
Biological and Biomedical Informatics 6
Complex Networks (BM) 6
Computational Creativity 6
Computational Models and Semantics 6
Evolutionary Algorithms 6
Introduction to Deep Learning 6
Multimedia Systems 6
Quantum Algorithms 6
Seminar Advanced Deep Reinforcement Learning 6
Seminar Trustworthy Artificial Intelligence 6
Social Network Analysis for Computer Scientists 6
Software Development and Product Management 6
System and Software Security 6
Text Mining 6
Urban Computing 6
Video Games for Research 6

Spring semester

Applied Quantum Algorithms 6
Bio-Modeling 6
Causal Inference for Computer Scientists 6
Cloud Computing 6
Computational Imaging and Tomography 6
Cryptographic Engineering 6
Distributed Systems 6
Embedded Systems and Software 6
Foundations of Software Testing 6
High Performance Computing 6
Image Analysis with Applications in Microscopy 6
Information Retrieval 6
Information Theoretic Data Mining 6
Modern Game AI Algorithms 6
Multicriteria Optimization and Decision Analysis 6
Proof Formalisation 6
Recommender Systems 6
Reinforcement Learning 6
Robotics 6
Seminar Advances in Deep Learning 6
Software Verification 6
Sports Data Science 6