High Performance Computing and Big Data Analytics

University Babes-Bolyai

24 months
634 EUR/year
Tuition fee
Apply date
Start date


The master’s program aims at providing students with the appropriate tools for further doctoral studies and professional activity.

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Programme objectives:

  • Acquisition of theoretical knowledge in complex systems modelling based on mathematical concepts and methods, and on programming concepts and techniques.
  • Acquisition of applicative and practical knowledge. in programming and usage on/of computation systems, especially those of high performance, which are necessary for solving real life problems and for simulating complex problem solutions.
  • Acquisition of theoretical, applicative knowledge in exploitation (data-analysis, knowledge-discovering) and visualization of „big data” for computation problems, statistical interpretations, decision processes, or for scientific instruments.
  • Acquisition of theoretical, applicative and practical knowledge in applicative scientific domains where high performance systems are used.
  • Acquisition of theoretical, applicative and practical knowledge in analysis and improvement of software processes.
  • Acquisition of theoretical, applicative and practical knowledge in professional modelling for team work as well as interdisciplinary approaches to research and development.

Programme Structure

Courses include:

  • Programming Paradigms
  • Parallel and Distributed Operating Systems
  • Formal Modelling of Concurrency
  • Advanced Methods in Data Analysis
  • Functional parallel programming for big data analytics
  • Models in parallel programming
  • General Purpose GPU Programming
  • Workflow Systems
  • Resource-aware computing
  • Data Mining
  • Grid, Cluster and Cloud Computing
  • Knowledge Discovery in Wide Area Networks

Key information


  • Full-time
    • 24 months

Start dates & application deadlines


IELTS or TOEFL needed


120 ECTS


On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.

English requirements

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).
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at desiganated 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.
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.

Other requirements

General requirements

  • High-school graduation diploma
  • Bachelor's Degree diploma
  • Birth certificate
  • Marriage certificate (if the applicant's last name changed subsequent to marriage)
  • Transcript of Records for university studies at graduate level
  • Medical certificate
  • Passport copy
  • Four passport-size photographs
  • Application form
Graduate student recruitment is achieved by competition. The overall three/four-year undergraduate average grade and a personal portfolio, for candidates with a Bachelor Degree in Computer Science, Computer Mathematics or Economical Computer Science and respectively the grade of a written test and a personal portfolio, for candidates outside the above mentioned areas.

Tuition Fee

  • EU/EEA

    634 EUR/year
    Tuition Fee
    Based on the original amount of 634 EUR per year and a duration of 24 months.
  • EU/EEA : 3.000RON year
  • Citizens coming from states that are not member of the European Union,  as well as of the Swiss Confederation tuition: 300 Euro/ month


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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High Performance Computing and Big Data Analytics Master
University Babes-Bolyai


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