Schiller International University (Madrid)

P.º de Recoletos, 35, Centro, 28004 Madrid Madrid, Spain Visit web page

Master of Science in Data Science

Study detals

Course type: Master's degree Degree: Master of Science in Data Science Study mode: Full time Duration : 10 Month

Requirements

- transcripts, passport documentation, proof of English proficiency...

As an Undergraduate student you need to know:

For transfer credit, you need:

An Official Transcript recognized by the United States Department of Education, or recognized by the respective government as institutions of higher education, for international-based institutions.
A high school diploma, or official high school transcript indicating date of graduation, or official GED transcript if you are US citizen/legal resident there.
Proof of completion of secondary education if you were educated outside of the United States or the American educational system. Examples may include the Abitur, Selectividad, Baccalauréat, International Baccalaureate (IB) “O” and “A”-level exam results (You can see it in section “Proof of High School Graduation, Secondary Education, or GED” for further details).
To send the enrollment agreement signed.
To include a copy of an official ID or passport (Visa Students).
For those who have completed undergraduate studies at a non-US recognized institution, you must arrange to have an evaluation of a foreign transcript for any credits you wish to transfer to SIU. This independent evaluation can be done by one of these fully accredited evaluation agencies:
- International Credentials Evaluators (AICE).
- American Association of Collegiate Registrars and Admissions Officers (AACRAO).
- National Association of Credential Evaluation Services (NACES).
- Evaluated transcripts should be forwarded to respective admissions department of the Campus where you plan to enroll.

Additional information

Degree Overview

Merge business and technical expertise for data-driven decision making and system management with a Master of Science in Data Science from Schiller. Study in Paris or Madrid to develop data visualization expertise in presenting complex data visually for better understanding and decision-making using the most innovative tools like Power BI. With our MS in Data Science, you will also learn to apply machine learning techniques to extract meaningful patterns and predictions from data. Our data science program will equip you with the skills to explore cutting-edge technologies like cloud computing and big data analytics for scalable solutions.

The masters in data science degree will help you cover learning topics like databases, programming, machine learning, statistics, and more for a well-rounded skill set. Study in Madrid or Paris to learn how to navigate ethical considerations in handling and interpreting data analytics and big data for business insights while applying your knowledge in real-world scenarios, enhancing practical experience.

Study reasons

One-week Boot Camp - You will have the opportunity to participate in a one-week boot camp at the end of the master's degree in data science, where you will develop a real-world project with your collages to experience all that you have learnt during the courses.

Data Visualization Expertise - Master data visualization tools such as Power BI to visually present complex data, improve understanding and facilitate informed decision-making with MS Degree in Data Science.

Cutting-Edge Technology Exploration - Stay at the forefront by exploring cutting-edge technologies such as cloud computing and big data analytics for scalable solutions by enrolling in MSc in Data Science at Schiller International University.

Integrated Data Decision-making - Acquire business-tech skills with a data science degree for holistic data-driven decisions and system management, creating a synergistic approach covering databases, programming, Machine Learning, and statistics.

Machine Learning Proficiency - Study data science and learn how to apply techniques for extracting meaningful patterns and predictions. Unlock valuable insights within vast datasets with data analytics and big data.

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