Studyportals

Computer Science - Discrete Models and Algorithms

Charles University

M.Sc. On Campus
24 months
Duration
5555 EUR/year
5555 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The study branch Discrete models and algorithms offers wide education in theoretical and mathematical fundaments of computer science. The Computer Science - Discrete Models and Algorithms programme is offered by Charles University.

Overview

Student of the Computer Science - Discrete Models and Algorithms programme is offered by Charles University obtains knowledge in the area of discrete models and related algorithmic and data techniques and various mathematical methods for their design. The study familiarizes the student both with the last results on discrete models, algorithms and optimization, and with possibilities and limitations in solving related algorithmic questions. The student acquires thorough mathematical knowledge necessary for analysis and design of discrete models and algorithms. The student can apply his or hes skills in practice or can continue in the Ph.D. study of computer science or related areas.

Information about graduate employment

The graduate is familiar with discrete approaches and techniques and discrete structures in computer science and in algorithmic modelling of practical phenomena. 

Programme Structure

Curriculum

  • Depending on profilation, graduates have good knowledge in several of the areas: combinatoric (graph theory), probabilistic techniques and methods, discrete and computational geometry, algebraic and topological methods, number theory, linear and nonlinear programming, discrete optimization. 
  • He or she is prepared for Ph.D. study and is in contact with the last results in the area and, ideally, make his or her own contribution. The graduate can work in academia or in practical areas applying algorithms and discrete modelling.

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English

Credits

120 alternative credits

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
80
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5

Other requirements

General requirements

The goal of the admissions review process is to select from the pool of applicants those individuals who have shown the capability and diligence expected of Charles University students. To apply for our Computer Science or Mathematics Master's programmes given in English you must

  • hold or be working towards a Bachelor’s or Master’s diploma and provide a certified copy thereof;
  • have sufficient command of the English language; this can be demonstrated by providing your results in one of the standardized English tests that we recognize 

Tuition Fee

  • International

    5555 EUR/year
    Tuition Fee
    Based on the original amount of 5555 EUR per year and a duration of 24 months.
  • EU/EEA

    5555 EUR/year
    Tuition Fee
    Based on the original amount of 5555 EUR per year and a duration of 24 months.
  • 140 000 CZK

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last year

Check the official programme website for potential updates.

Computer Science - Discrete Models and Algorithms
-
Charles University

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