Studyportals

High Performance Computing and Big Data Analytics

University Babes-Bolyai

Master On Campus
24 months
Duration
6000 EUR/year
826 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The High Performance Computing and Big Data Analytics program at University Babes-Bolyai aims at providing students with the appropriate tools for further doctoral studies and professional activity.

Overview

Purposes of the High Performance Computing and Big Data Analytics program at University Babes-Bolyai:

  • 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.

Gained Abilities and Skills

  • Advanced knowledge of theoretical, methodological, and practical developments in computer science;
  • Systematic use of computer science knowledge to model and interpret new situations, within application contexts larger than the known ones;
  • Detailed knowledge and integrated use of conceptual and methodological apparatus pertaining to informatics to provide solutions for incompletely defined situations, to solve new theoretical and practical problems;
  • Proficient use of verification, validation, and evaluation criteria and methods to his/her own software solutions, ability to formulate value judgments and to justify/explain constructive decisions;

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

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English

Credits

120 ECTS

Delivered

On Campus

Academic requirements

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

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).
6.5

Other requirements

General requirements

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

  • International

    6000 EUR/year
    Tuition Fee
    Based on the original amount of 6000 EUR per year and a duration of 24 months.
  • EU/EEA

    826 EUR/year
    Tuition Fee
    Based on the original amount of 826 EUR per year and a duration of 24 months.
  • EU/EEA : 4000 RON / year
  • NON-EU/EEA: 500 EUR / month

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 9 months

Check the official programme website for potential updates.

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

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