Master of Science in Data Science
Transform data into decisions! Merge business-tech skills, cover databases, programming, Machine Learning, and visualize insights.
Intake
Oct
Duration
10 months
Credits
30 American credits
Campus
Paris and Madrid
Language
English
WHY study Master's Degree in Data Science at Schiller?
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Integrated Data Decision-MakingAcquire business-tech skills for holistic data-driven decisions and system management, creating a synergistic approach covering databases, programming, Machine Learning, and statistics.
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Data Visualization Expertise
Master data visualization tools such as Power BI to visually present complex data, improving understanding and facilitating informed decision making.
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Machine Learning Proficiency
Apply techniques for extracting meaningful patterns and predictions, unlocking valuable insights within vast datasets.
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Thriving Career Outlook
Position yourself at the forefront of data science evolution with +6.2% expected growth and 2.19M new jobs (According to Datausa.io 2021).
WHAT are You Going to Learn?
Highlight Content
- Merge business and technical expertise for DATA-DRIVEN DECISION-MAKING and system management.
- Cover DATABASES, PROGRAMMING, MACHINE LEARNING, STATISTICS, and more for a well-rounded skill set.
- Develop DATA VISUALIZATION EXPERTISE in presenting complex data visually for better understanding and decision-making using the most innovative tools like Power BI.
- Apply MACHINE LEARNING techniques to extract meaningful patterns and predictions from data.
- Gain proficiency in OBJECT-ORIENTED PROGRAMMING in PYTHON, a versatile language in data science.
- Explore cutting-edge technologies like CLOUD COMPUTING AND BIG DATA analytics for scalable solutions.
- Navigate ETHICAL CONSIDERATIONS in handling and interpreting data for business insights.
- Apply acquired skills in real-world scenarios through CAPSTONE PROJECTS, enhancing practical experience.
Curriculum*
| Program code | Subject | Credits |
|---|---|---|
| DIG 515 | Digital Analytics | 3 |
| DIG 520 | Math and Statistics for Database Analysis | 3 |
| DIG 521 | Digital Technology I | 3 |
| DIG 580 | MBDA Integrative Project | 3 |
| DIG 597 | BDA Capstone Project | 3 |
| IT 505 | Fundamentals of Database Technologies | 3 |
| IT 526 | Cloud Computing and Big Data Analytics | 3 |
| IT 528 | Data Visualization | 3 |
| IT 535 | Machine Learning for Business Analytics | 3 |
| IT 545 | Object-Oriented Programming in Python | 3 |
* Curriculum subject to change. Each campus and program may have different requirements and exceptions.
Discover our Hybrid Format
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Online Format (100% synchronous)
Study from wherever you want and at your own pace. You will learn through flipped classroom methodology, have tech & development tools, and have personal advising from day one.
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On Campus Activities (Madrid or Paris Campus)
You will have a mandatory on-campus day during which you will present your project. Additionally, there will be an optional week-long program on campus where you can engage in extra activities and work on practical cases from real companies.