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Basic data of science
Basic data of science




basic data of science
  1. BASIC DATA OF SCIENCE HOW TO
  2. BASIC DATA OF SCIENCE CODE

Students who apply to more than one master's degree must pay the fee for each pre-enrolment request. Pre-enrolment fee: A pre-enrolment fee of 30,21 euros is charged.* These places will be allocated among those students who were not selected after the first period as well as those students who submitted their applications during the second period. Publication of decision on Masters' accepted students: July 17, 2023 Publication of the list of eligible/ineligible students: July 7, 2023 Submission of applications: May 22, 2023, to June 23, 2023 Web form for the master's coordinator to authorize the subjects to enroll: from Jto July 28, 2023 Publication of decision on Masters' accepted students: March 31, 2023 Publication of the list of eligible/ineligible students: March 16, 2023 Submission of applications: February 1, 2023, to March 1, 2023 Introduction to scientific computing and numerical methods.The bridging courses will include the following aspects: If applicants must take bridging courses, the Committee will propose a maximum of 30 additional credits from Computer Engineering degrees or from the Bachelor's Degree in Mathematics, depending on the applicant's previous training. Given that the master's degree is taught entirely in English, applicants must certify that they have at least level B2 English. Graduates in other engineering subjects or equivalent qualifications from outside the EHEA, who have official authorisation from the Master's Committee (bridging courses will be required).Holders of bachelor's degrees in Computer Engineering, Mathematics, Physics, Statistics or related qualifications who hold official qualifications from outside of the EHEA (bridging courses will be required).Holders of bachelor's degrees in other engineering subjects or equivalent qualifications, with the authorisation of the Master's Committee (bridging courses will be required).Holders of bachelor's degrees in Computer Engineering, Mathematics, Physics, Statistics or related qualifications (no bridging courses are required).Admission shall not, in any case, imply that prior qualifications have been recognized as equivalent to a Spanish master's degree and does not confer recognition for any purposes other than that of admission to the master's degree course.Īpplicants with the following qualifications may be admitted: If it is not recognized, the University of Barcelona shall verify that it corresponds to a level of education that is equivalent to official Spanish degrees and that it authorizes the holder to access university master's degree courses in the country of issue. In this case, the qualification should be recognized as equivalent to an official Spanish degree. A qualification from outside the framework of the European Higher Education Area.A degree issued by a higher education institution within the European Higher Education Area framework that authorizes the holder to access university master's degree courses in the country of issue.In accordance with Article 16 of Royal Decree 1393/29 October 2007, students must hold one of the following qualifications to access university master's degree courses: Capacity to use effective development methods for data science projects.

BASIC DATA OF SCIENCE CODE

Knowledge of legislation on data protection and privacy, and on the ethical code in professional practice.Capacity to communicate results using appropriate communication and display techniques.Capacity to verify and quantify the validity of a hypothesis, using data analysis.

basic data of science

  • Capacity to understand, develop and modify analytical and exploratory algorithms for a dataset.
  • Capacity to effectively use analytical and predictive tools for automatic learning.
  • BASIC DATA OF SCIENCE HOW TO

  • Capacity to learn how to propose hypothesis and develop intuition about a dataset using exploratory analysis techniques.
  • Capacity to use technologies for the storage, recovery and processing of large volumes of data.
  • Capacity to clean and correct data, in order to create datasets that are easy to manipulate and informative.
  • Capacity to gather and extract information from structured and unstructured data sources.
  • Capacity to understand the process of analysing data, and the role of data in decision-making.
  • The course will focus specifically on the following competences: In addition, it provides tools to face the challenges in the discipline with analytical, critical and creative capacity. The master's degree covers basic and general competences for managing time, resources and projects, and for working in teams.






    Basic data of science