MIOTI - Tech & Business School
Master in Data Strategy & Analytics
Madrid, Spain
Master degree
DURATION
5 months
LANGUAGES
Spanish
PACE
Full time, Part time
APPLICATION DEADLINE
EARLIEST START DATE
Mar 2027
TUITION FEES
EUR 7,450
STUDY FORMAT
On-Campus, Distance Learning
Key Summary
About: The Master in Data Strategy & Analytics prepares you to become a data analyst and boost your career. It focuses on extracting value from data and discovering insights that improve effectiveness across areas. The programme covers data strategy, analytics and business intelligence and includes hands-on use of analytics tools; the description doesn't list specific tools.
Career Outcomes: Graduates can move into analytics and strategy roles. Typical paths include data analyst, business intelligence analyst, data strategist and analytics consultant. You can progress to product analytics roles and data-driven project management, working in technology firms, finance, healthcare and the public sector.
Become a data analyst and boost your professional career
Extract value from data from day one and discover insights that will help you improve the effectiveness and operability of your work in multiple areas.
With the Master in Data Strategy & Analytics you will learn about data-driven companies, the latest data architectures and structures, and the most commonly used analysis tools with a business perspective that applies to a wide range of profiles.
You will use tools such as Python, Numpy, Prophet, Pandas, PostgreSQL... to work with datasets, as well as Business Intelligence tools such as Power BI, Qlikview and Tableau.
Subjects
30 ECTS
- Data Strategy & Analytics
- Data Governance & Ethics
- Data Science Fundamentals
- Cloud Platforms
- Databases & SQL
- ETL Tools: Azure Data Factory
- BI Tools: Excel
- BI Tools: Power BI
- BI Tools: OpenSource, Qliksense & Tableau
- Data Storytelling
- Python for beginners
- Introduction to Artificial Intelligence
- Data Strategy for Business
- Final Project
Career opportunities
- Data Analyst
- Business Analyst
- Business Intelligence
- Data Manager
- Business Consultant


