Master of Science (MScs) in Data Science - Online

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Agustin González

Agustin González

Master of Science (MScs) in Data Science

  • Modalidad de impartición
    Las clases del Master of Science (MScs) in Data Science se imparten de manera Online.
  • Número de horas
    Tiene un tiempo de estudio de 12 a 24 meses.
  • Titulación oficial
    Se otorgará una doble titulación.
  • Valoración del programa
    El Master of Science (MScs) in Data Science es un programa Online que provee una formación de calidad, actualizada y novedosa, sobre las tecnologías de Big Data y el Machine Learning. Te conviertes en un experto en estas áreas de estudio adquiriendo herramientas, conocimientos y habilidades para trabajar en procesos y proyectos de desarrollo, basados en el análisis e interpretación de la Big Data.
  • Dirigido a
    Este programa de IU International University of Applied Sciences se dirige a graduados en sistemas computacionales e informática, o de otros sectores que deseen especializarse en data science.
  • Empleabilidad
    Al finalizar sus estudios, podrá trabajar como Senior Data Scientist or Data Science Developer.

Comentarios sobre Master of Science (MScs) in Data Science - Online

  • Contenido
    Master of Science (MScs) in Data Science.


    Credit Points: 60 or 120 ECTS
    Duration (full-time): 12 or 24 months
    Study Options: Only Online 




    Programme Description.
    The Master Data Science at the IU deepens your knowledge of all areas of Data Science with contents like Machine Learning and Big Data Technologies. With the completion of your studies you are an expert in Data Science and by this you can open doors to exciting and diverse jobs like Senior Data Scientist or Data Science Developer. With IU, you can study from the comfort of your home, 100% online.


    Two Degrees, Double the Advantage.
    IU International University of Applied Sciences (IU) has partnered with London South Bank University to give you the chance to have your degree validated by two institutions. When you choose this option, you’ll graduate from IU with both a German degree and a British degree, giving you a major career boost! This opportunity comes with no extra study courses or travelling."

    Academic Requirements:

    Master (60 ECTS):

     - Completed degree from a public or officially recognised university/higher education institution in relevant field.
     - At least a “satisfactory” or Grade C equivalent earned in your previous degree.
     - Your undergraduate degree should be worth 240 ECTS credits.

     
     Professional Experience:
     For some 60-ECTS master programmes, you will need to have achieved one year of professional work experience before starting your studies.
     
     English Level:
     - Proof of English skills.
    - Speexx B2.2 Certificate (complimentary when signing up with IU - free of charge)
     - If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.



    Master (120 ECTS):

     - Completed degree from a public or officially recognised university/higher education institution in relevant field.
     - At least a “satisfactory” or Grade C equivalent earned in your previous degree.
     - Your undergraduate degree should be worth 180 ECTS credits.
     
     English Level:
     - Proof of English skills.
    - Speexx B2.2 Certificate (complimentary when signing up with IU - free of charge)
     - If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.


    In addition to the general admissions requirements for master degrees.

    To study the 120 ECTS version of this degree, you will need to have taken courses “Statistics - Probability and Descriptive Statistics” and “Introduction to Computer Science” or demonstrate equivalent knowledge such as through work experience. You can take these courses online with us for free.

    To study the 60 ECTS version of this degree, you will need to have taken courses “Programming with Python”, “Advanced Mathematics”, “Statistics - Probability and Descriptive Statistics” and “Introduction to Computer Science” or demonstrate equivalent knowledge such as through work experience. You can take these courses online with us for free.

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