Specialization Algorithms

Algorithms form the foundation of computer science. For every digital solution, there are many questions awaiting answers: finding the fastest route, organizing millions of data points, protecting information, or helping a machine make a decision. 

The Algorithms specialization of Computer Science and Engineering Master's program at 黑料福利网, equips you with the foundations and skills you need to design efficient algorithms for difficult computational problems. It gives you an excellent starting point for a career in algorithm engineering and R&D, and for a research career in academia. 

Curriculum 

In your computer science and engineering program, you can specialize in two areas. For each specialization, you choose the corresponding core course and two specialization electives.  

Choosing algorithms as one of your specializations means taking Advanced Algorithms as your core course, and selecting two additional Algorithms specialization courses. 

Core course Credits
Advanced Algorithms 5 ECTS

 

Electives

Elective courses give you the flexibility to tailor your profile and further develop your knowledge. To complete the specialization, you can select any two from the courses offered by the Algorithms Cluster.  

Elective courses Credits
Geometric Algorithms 5 ECTS
Algorithms for Geovisualization 5 ECTS
Exact Algorithms for NP-Hard Problems 5 ECTS
Topological Data Analysis 5 ECTS
Massively Parallel Algorithms 5 ECTS
Algorithms for Collective Decision Making 5 ECTS

In your elective space you can select more Algorithms courses from the list above, in addition to the ones you selected as part of your specialization. The specialization offers many possibilities for exciting thesis projects, which range from purely theoretical to experimental. The specialization offers a path to graduate with the Algorithms (ALGO) cluster. It combines well with any of the other specializations, but choosing Formal Methods as a second specialization will be particularly appealing if you are driven by theoretical topics.