Программа обучения Data Analytics

Программа обучения "Data Analytics" в University of Hildesheim

Data Analytics

In today's globalized business world, the ability to extract and analyze relevant information from large volumes of complex data provides a competitive edge to businesses in every market. In industry, there is a huge demand of skilled employees with strong analytical skills and command of current analytical technology to process this huge data into meaningful business information, cross-trained in the respective application domain for better collaboration in interdisciplinary teams.

Общая Информация по Программе обучения "Data Analytics"

  • Уровень: Магистратура
  • Диплом: Master of Science (M.Sc.)
  • Язык обучения: Английский
  • Начало обучения: Зимний семестр
    Летний семестр
  • Срок обучения: 4 семестров
  • Форма обучения: Полная
  • Учебные кредиты: 120 ECTS
  • Стоимость: € 0 / Семестр
  • Семестровый взнос: € 398.89 / семестр
  • Правила приема: На основе конкурса
  • Минимальный уровень английского: B2

Карьерные перспективы по завершению программы обучения "Data Analytics"

The Master's program in Data Analytics enables students to take up challenging research in the interdisciplinary field with major focus on data analytics. This program will propel students towards a successful career path as data scientists, data engineers and business consultants in our highly competitive corporate world. Upon completion of the study program some of the related career paths for students are:

  • Research Scientist in Data Analytics
  • Data Scientist
  • Big Data Engineer
  • Machine Learning Scientist
  • Business Intelligence Analyst

Учебный план программы обучения "Data Analytics"

The International Master's Program in Data Analytics combines both, a deep and thorough introduction to cutting edge research in Machine learning, Big Data and analytical technology and complementary training in selected application domains. Data Analytics will provide students the knowledge and skills required for modeling and analysis of complex systems in application domains from business such as marketing and logistics as well as from science such as computer science and environmental science based on modern state-of-the-art Machine Learning methods. The program is designed and taught in close collaboration of experienced faculty and experts in machine learning and selected application domains.

  • Учебный план / модули: https://www.ismll.uni-hildesheim.de/da/program_structure_en.html
    https://www.ismll.uni-hildesheim.de/da/program_structure_winter_en.html
    https://www.ismll.uni-hildesheim.de/da/program_structure_summer_en.html
  • Факультет

    Faculty 4: Mathematics, Science, Economics and Computer Science
    University of Hildesheim

    The "new" Faculty 4 of the University of Hildesheim was founded in April 2009. Faculty 4 combines the MINT subjects (MINT: Mathematics, Computer Science, Natural Sciences, Technology) and the subject Economics / Business Administration. The responsible persons from science, politics and economy emphasize again and again that for the future competitiveness of our country the quality and quantity of the MINT graduates must be increased clearly. The new department 4 is committed to this objective with its teaching and research program.

    Требования к поступающим на программу обучения "Data Analytics"

    The Master’s program in Data Analytics is highly relevant for students aiming to pursue their career in research in an interdisciplinary field, data analytics, or a related industry. Students with Bachelor’s Degree in Computer Science, Information Technology, Mathematics and related fields are eligible to apply. Generally, students with strong analytical, mathematical and statistical base and good programming skills are more suited for this program.

    English language
    English language proficiency is required to undertake the International Master’s program in Data Analytics. Sufficient knowledge of English can be demonstrated by a certificate (TOEFL computer based test score of 61 or above; IELTS band of 6 or above; or an equivalent certificate) or a German Abitur. If your prior degree is taught in English, than we need a document of your university stating that your studies have been completely taught in English. Stamped and signed by your university. more

    Методика оценки заявок

    Eligible admissions are prioritized according to the following criteria:

    • overall mark of your Bachelor (53%),
    • amount and marks of Bachelor courses related to Data Analytics (incl. math and programming, 35%),
    • prior research activities in Data Analytics (6%) and
    • prior practical activities in Data Analytics (6%).

    Записаться на поступление на программу обучения

    Data Analytics