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The programme covers a wide range of theoretical and experimental areas within Computer Science and Bioinformatics:
Algorithms, Data structures and Foundations of Machine Learning – particular focus on I/O-efficient algorithms and algorithm engineering for massive data sets.
Bioinformatics – development and application of models and methods for analyzing biological and biomedical data, covering topics such as algorithmic development, algorithm engineering, software development, and statistical modeling focusing on evolutionary genome analysis, structural bioinformatics and medical bioinformatics.
Computational Complexity and Game Theory – computational complexity theory, algorithmic and computational game theory, mathematical programming, combinatorial optimization, computational algebra, real algebraic geometry, and multi-agent systems.
Computer Mediated Activity – development of new interaction techniques, methods and theories for computer-mediated activities of work and everyday life.
Cryptography and Security – in particular, public-key cryptography, cryptographic protocols, and quantum cryptography.
Data-Intensive Systems – topics related to spatio-temporal data management, query processing and indexing, high-dimensional and multimedia data, and infrastructure for mobile services and cloud computing.
Logic and Semantics - semantics of programming languages and type theories, models and logics for reasoning about programs.
Programming Languages – program analysis and testing.
Ubiquitous computing and interaction – creating concepts for future interactive spaces at schools, libraries, museums, homes, and workplaces.
Use, Design and Innovation – including participatory design in innovation processes
The programme covers a wide range of theoretical and experimental areas within Computer Science and Bioinformatics:
Algorithms, Data structures and Foundations of Machine Learning – particular focus on I/O-efficient algorithms and algorithm engineering for massive data sets.
Bioinformatics – development and application of models and methods for analyzing biological and biomedical data, covering topics such as algorithmic development, algorithm engineering, software development, and statistical modeling focusing on evolutionary genome analysis, structural bioinformatics and medical bioinformatics.
Computational Complexity and Game Theory – computational complexity theory, algorithmic and computational game theory, mathematical programming, combinatorial optimization, computational algebra, real algebraic geometry, and multi-agent systems.
Computer Mediated Activity – development of new interaction techniques, methods and theories for computer-mediated activities of work and everyday life.
Cryptography and Security – in particular, public-key cryptography, cryptographic protocols, and quantum cryptography.
Data-Intensive Systems – topics related to spatio-temporal data management, query processing and indexing, high-dimensional and multimedia data, and infrastructure for mobile services and cloud computing.
Logic and Semantics - semantics of programming languages and type theories, models and logics for reasoning about programs.
Programming Languages – program analysis and testing.
Ubiquitous computing and interaction – creating concepts for future interactive spaces at schools, libraries, museums, homes, and workplaces.
Use, Design and Innovation – including participatory design in innovation processes
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Computer Science
Aarhus Campus, Aarhus, Denmark
# =119QS Subject Rankings
48 monthsProgram duration
Computer Science and Information SystemsMain Subject Area
Program overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Read more
- Algorithms, Data structures and Foundations of Machine Learning – particular focus on I/O-efficient algorithms and algorithm engineering for massive data sets.
- Bioinformatics – development and application of models and methods for analyzing biological and biomedical data, covering topics such as algorithmic development, algorithm engineering, software development, and statistical modeling focusing on evolutionary genome analysis, structural bioinformatics and medical bioinformatics.
- Computational Complexity and Game Theory – computational complexity theory, algorithmic and computational game theory, mathematical programming, combinatorial optimization, computational algebra, real algebraic geometry, and multi-agent systems.
- Computer Mediated Activity – development of new interaction techniques, methods and theories for computer-mediated activities of work and everyday life.
- Cryptography and Security – in particular, public-key cryptography, cryptographic protocols, and quantum cryptography.
- Data-Intensive Systems – topics related to spatio-temporal data management, query processing and indexing, high-dimensional and multimedia data, and infrastructure for mobile services and cloud computing.
- Logic and Semantics - semantics of programming languages and type theories, models and logics for reasoning about programs.
- Programming Languages – program analysis and testing.
- Ubiquitous computing and interaction – creating concepts for future interactive spaces at schools, libraries, museums, homes, and workplaces.
- Use, Design and Innovation – including participatory design in innovation processes
Read lessProgram overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Read more
- Algorithms, Data structures and Foundations of Machine Learning – particular focus on I/O-efficient algorithms and algorithm engineering for massive data sets.
- Bioinformatics – development and application of models and methods for analyzing biological and biomedical data, covering topics such as algorithmic development, algorithm engineering, software development, and statistical modeling focusing on evolutionary genome analysis, structural bioinformatics and medical bioinformatics.
- Computational Complexity and Game Theory – computational complexity theory, algorithmic and computational game theory, mathematical programming, combinatorial optimization, computational algebra, real algebraic geometry, and multi-agent systems.
- Computer Mediated Activity – development of new interaction techniques, methods and theories for computer-mediated activities of work and everyday life.
- Cryptography and Security – in particular, public-key cryptography, cryptographic protocols, and quantum cryptography.
- Data-Intensive Systems – topics related to spatio-temporal data management, query processing and indexing, high-dimensional and multimedia data, and infrastructure for mobile services and cloud computing.
- Logic and Semantics - semantics of programming languages and type theories, models and logics for reasoning about programs.
- Programming Languages – program analysis and testing.
- Ubiquitous computing and interaction – creating concepts for future interactive spaces at schools, libraries, museums, homes, and workplaces.
- Use, Design and Innovation – including participatory design in innovation processes
Read lessAdmission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
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QS subject rankings
Subject: Computer Science and Information Systems
Ranking criteria
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