Computer Science - Computational Linguistics, M.Sc.

  • Application Deadline
  • 24 months
    Duration
  • English (book IELTS)
    Language
University rank #201 (ARWU) ,
In the Computer Science - Computational Linguistics Master’s program at Charles University, students are given a broad overview of their field, helping them to think independently, to distinguish between important and marginal problems, and to accommodate quickly to novel technologies. The focus is on understanding the core principles of how and why things work and on the application of these principles within modern technologies.

About

The strong theoretical basis of the Computer Science - Computational Linguistics Master’s program at Charles University gives our graduates a competitive advantage in a dynamically evolving world where today’s technologies are often obsolete tomorrow.

Studies usually take two years and finish with a state final exam and Master’s thesis defense. After successful completion the student is awarded the title of a Master of Science.

The aim of the study branch Computational Linguistics is to get the students ready for research in the area of natural language processing and development of applications dealing with both written and spoken language. Examples of such applications are systems of information retrieval, machine translation, grammar checking, text summarization and information extraction, automatic speech recognition, voice control, spoken dialogue systems, and speech synthesis. The emphasis is put on deep understanding of formal foundations and their practical applicability. The study branch Computational Linguistics can be studied in two specializations: (i) computational and formal linguistics, and (ii) statistical methods and machine learning in computational linguistics.

The graduate is familiar with the theoretical foundations of the formal description of natural languages, the mathematical and algorithmic foundations of automatic natural language processing, and state-of-the-art machine learning techniques. Graduates have the ability to apply the knowledge acquired during their studies in the design and development of systems automatically processing natural language and large quantities of both structured and unstructured data, such as information retrieval, question answering, summarization and information extraction, machine translation and speech processing. They are equipped with reasonable knowledge, skills, and experience in software development and teamwork applicable in all areas involving the development of applications aiding human-computer interaction and/or machine learning.

Charles University ranks among the top 2% of universities worldwide, a fact that has been repeatedly confirmed by international university rankings. In computer science and mathematics it does even better. We provide the facts below.

  • Wikipedia-Mining Algorithm Reveals World’s Most Influential Universities – Charles University in Prague: rank 34.
  • Microsoft Academic Search: Charles University is among the 10 top institutions in Discrete Mathematics worldwide and among the 100 top institutions in Algorithms and Theory
  • The Times Ranking: rank 301–350
  • Top universities: rank 200–300
  • Higher Education Evaluation and Accreditation Council of Taiwan: overall rank 247 and 167 in Computer Science and Mathematics
  • Mathematics programs included in the Excellence group of top European universities by the CHE Excellence Ranking 2010.
  • Charles University is consistently ranked as the No. 1 Computer Science school in the Czech Republic.
  • The education programs at Charles University are accredited by the Ministry of Education, Youth, and Sports of the Czech Republic and the degrees awarded to our graduates are internationally recognized.

Accreditation

The education programs at Charles University are accredited by the Ministry of Education, Youth, and Sports of the Czech Republic and the degrees awarded to our graduates are internationally recognized.

Programme Structure

The study program is very flexible and students can customize their set of attended courses based on their particular interests and needs. In the first year, there are mandatory foundational courses such as data structures and theory of complexity and computability. Students of Computational Linguistics also have courses on natural language processing and statistical methods and they begin work on a group software project, while students of Discrete Models and Algorithms have courses on combinatorics, graph theory, and optimization. Some courses on specific subjects, as described next, are also included in the first year.

The second year of studies is organized according to the student’s own selection of courses. This is based on the choice of study plan within the study branch. We offer courses on artificial intelligence and its sub-areas such as machine learning, planning, declarative programming, and neural networks, several linguistics courses, courses on speech recognition and machine translation, and courses on optimization techniques (non-linear, combinatorial, multi-criteria), integer programming, mathematical structures, algorithms and their complexity, and approximation and probabilistic algorithms. Students may attend some of these courses already in their first year, so that in their second year they can focus on finishing their master’s thesis.

Obligatory courses

  • Introduction to Complexity and Computability
  • Data Structures
  • Introduction to General Linguistics
  • Statistical Methods in Natural Language Processing
  • Technology
  • Diploma Thesis I
  • Diploma Thesis II
  • Diploma Thesis III

Elective courses

  • Introduction to Formal Linguistics
  • Fundamentals of Speech Recognition and Generation
  • Statistical Methods in Natural Language Processing
  • Language Data Resources
  • Prague Dependency Treebank
  • Algorithms in Speech Recognition
  • Information Structure of Sentences and Discourse Structure
  • Linguistic Theory and Grammar Formalisms
  • Statistical Machine Translation
  • NLP Applications
  • Morphological and Syntactic Analysis
  • Modern Methods in Computational Linguistics
  • Computational Morphology
  • Statistical Dialogue Systems
  • Information Retrieval
  • Machine Learning Methods
  • Credit for Project
  • Software Project

Detailed Programme Facts

  • Programme intensity Full-time
    • Full-time duration 24 months
  • Languages
    • English
  • Delivery mode
    On Campus

English Language Requirements

You only need to take one of these language tests:

  • Minimum required score:

    6.5

    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

    Book IELTS
  • Minimum required score (Grade C):

    180

    The CAE test – or the Cambridge Advanced English – is an exam for applicants who wish to get a Certificate in Advanced English. To receive the Advanced certificate, test-takers must score between 142 and 210 on the Cambridge English: Advanced test. Read more about CAE.

    Note: degree programmes and applications may require a more specific minimum score for admission.

  • Minimum required score:

    550

    The TOEFL – or Test OF English as a Foreign Language – offers a paper-based test (PBT). The final, overall PBT score ranges between 310 and 677, and is based on an average taken from the three test components (listening, structure, and reading). The writing part of this test is scored separately on a scale of 0-6. Read more about TOEFL (PBT).

  • Minimum required score:

    80

    The TOEFL – or Test Of English as a Foreign Language – offers an internet-based test (iBT). The final, overall iBT score ranges between 0 and 120, and includes a scaled average from the four components (reading, listening, speaking, and writing). Read more about TOEFL (iBT).

Academic Requirements

To apply for a Master’s program delivered in English you must

  • hold or be working towards a bachelor’s or master’s diploma and provide a certified copy thereof; in cases required by law, a certification of equivalence of education must accompany the application,
  • have sufficient academic background in the relevant fields (see below for details); this can be demonstrated by passing the specialized entrance examination in June 2016 in Prague that is organized by the Faculty of Mathematics and Physics, or by providing transcripts (academic records) of your previous education accompanied by syllabi of the completed courses; promising students who do not have this background may be admitted with the provision that they complete the missing Bachelor’s courses,
  • 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 (see below for details).

You are also welcome to accompany your application by

  • a statement of purpose in which you describe your reasons for applying to the proposed programme, your study and possibly also research interests and future career plans,
  • letters of recommendation as recent as possible from professors and employers who can comment on your recent professional accomplishments and your qualifications for pursuing a Master’s degree in mathematics or computer science.
Academic background

In this paragraph we summarize the minimum knowledge required for applicants in the various study programmes and study branches offered at our faculty.

Master of Computer Science

Study branches Theoretical Computer Science, Computational Linguistics, Discrete Models and Algorithms, Computer Graphics and Game Development, Software and Data Engineering, Software Systems, Artificial Intelligence: background in calculus, linear algebra, discrete mathematics, probability, computer programming, algorithms and data structures, computer organization, and the theory of automata and formal grammers.

Entrance examination

Applicants who will not sufficiently demonstrate the necessary background listed above by May 9, 2016, or with their application, will be invited to take the entrance examination in Prague. The entrance examination for a Master’s programme at the Faculty of Mathematics and Physics at Charles University consists of four problems, each worth 25 points. In case of an incomplete solution a proportional number of points will be given. The maximum total score is 100. The minimum score for admission is 40 points out of 100. Depending on the study programme and study branch, the examination has the following structure:

Master of Computer Science

All study branches: Computer Science (4 problems, e.g., logic, automata theory, programming, theoretical computer science).

Tuition Fee

  • International Applies to you

    5100 EUR/year
    Tuition Fee
    Based on the original amount of 5100 EUR per year and a duration of 24 months.
  • EU/EEA Applies to you

    5100 EUR/year
    Tuition Fee
    Based on the original amount of 5100 EUR per year and a duration of 24 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

140 000 CZK (5100 EUR) per academic year; students from the EU are eligible for a 40 percent discount

Living costs for Prague

13900 - 19500 CZK/month
Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Computational Linguistics Scholarship 2016

The Faculty of Mathematics and Physics, Charles University in Prague, grants one scholarship to a highly qualified applicantin the Master’s Programme in Computer Science, study branch Computational Linguistics (language of instruction: English).

Regulations:

1. The Scholarship will be known as the Computational Linguistics Scholarship (CLS).

2. The Scholarship includes direct coverage of tuition fees (3000 EUR per academic year for students from the EU, and 5000 EUR per academic year for students outside the EU), and acontribution to living expenses of 4000 EUR per academic year, plus acontribution to travel expensesup to 400 EUR. Payment details are described in the Scholarship Award Agreement.

3. One Scholarship will be awarded.

4. The decision on awarding the Scholarship belongs to the Dean of the Faculty of Mathematics and Physics, Charles University in Prague.

5. The Scholarship is open to candidates applying for the Master’s Programme in Computer Science, study branch Computational Linguistics, at the Faculty of Mathematics and Physics, Charles University in Prague. Candidates must meet the Entry Requirements for the Master’s Programme in Computer Science.

6. To apply for the CLS, you have to apply for the Master’s Programme in Computer Science, study branch Computational Linguistics using the Student Information System of the Charles University in Prague, and accompany your application with the following documents:

(i) application for the CLS (no prescribed form);
(ii) curriculum vitae;
(iii) letter of interest;
(iv) list of publications (if applicable);
(v) transcript(s) of records;
(vi) photocopy of diploma (if applicable);
(vii) two letters of recommendation from academic supervisors or employer.

All these documents must be written in or translated into English. Documents under (i)-(vi) should be uploaded (preferred format of documents is pdf) to the Student Information System of the University.

7. Candidates must not be recipients of any other external scholarships or grants for a living allowance.

8. The deadline for submitting applications is 31 May

9. Successful candidates will be advised of the outcome by 30 June 2016 at the latest. The offer of the Scholarship must be accepted by the date indicated in the letter offering it. If a candidate declines the Scholarship or does not take it up, the Dean may offer the Scholarship to another candidate.

10. The successful candidate will be expected to complete the two-year programme and will study full-time. If the recipient does not complete the programme he will be liable to refund the scholarship amount in full.

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.

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