High Performance Computing and Big Data Analytics, Master | Babes-Bolyai University | Cluj-Napoca, Romania
Studyportals
Master On Campus

High Performance Computing and Big Data Analytics

24 months
Duration
6000 EUR/year
808 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

Key facts

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

Credits

120 ECTS

Delivered

On Campus

Academic requirements

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

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

To alway see correct tuition fees
  • International

    6000 EUR/year
    Tuition Fee
    Based on the tuition of 6000 EUR per year during 24 months.
  • EU/EEA

    808 EUR/year
    Tuition Fee
    Based on the tuition of 808 EUR per year during 24 months.
  • EU/EEA : 4000 RON / year
  • NON-EU/EEA: 500 EUR / month

Living costs for Cluj-Napoca

1840 - 2870 RON /month
Living costs

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

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.

Our partners

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

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