12 monthsProgramme duration
8,000 EURTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Business Analytics
Degree
Other
Study Level
Master's
Study Mode
On Campus
The Master's in Data Analysis and Communication at CEU San Pablo University trains you to interpret data and transform it into communicable strategies for any professional sector. It combines analysis and storytelling so you understand what the data reveals and know how to communicate it clearly and impactfully.
You will learn to build predictive models, detect patterns, and translate complex results into clear and understandable visuals. You will work with applied statistics, R and SQL programming, key data science techniques, Power BI projects, and digital communication and data-driven storytelling skills.
This master's program merges analytical thinking and communicative creativity, preparing you to generate solid analyses, interpret with discernment, and turn conclusions into strategic messages that influence decision-making.
You will learn to build predictive models, detect patterns, and translate complex results into clear and understandable visuals. You will work with applied statistics, R and SQL programming, key data science techniques, Power BI projects, and digital communication and data-driven storytelling skills.
This master's program merges analytical thinking and communicative creativity, preparing you to generate solid analyses, interpret with discernment, and turn conclusions into strategic messages that influence decision-making.
Programme overview
Main Subject
Business Analytics
Degree
Other
Study Level
Master's
Study Mode
On Campus
The Master's in Data Analysis and Communication at CEU San Pablo University trains you to interpret data and transform it into communicable strategies for any professional sector. It combines analysis and storytelling so you understand what the data reveals and know how to communicate it clearly and impactfully.
You will learn to build predictive models, detect patterns, and translate complex results into clear and understandable visuals. You will work with applied statistics, R and SQL programming, key data science techniques, Power BI projects, and digital communication and data-driven storytelling skills.
This master's program merges analytical thinking and communicative creativity, preparing you to generate solid analyses, interpret with discernment, and turn conclusions into strategic messages that influence decision-making.
You will learn to build predictive models, detect patterns, and translate complex results into clear and understandable visuals. You will work with applied statistics, R and SQL programming, key data science techniques, Power BI projects, and digital communication and data-driven storytelling skills.
This master's program merges analytical thinking and communicative creativity, preparing you to generate solid analyses, interpret with discernment, and turn conclusions into strategic messages that influence decision-making.
Admission Requirements
The recommended entry profile for the Master's Degree in Data Analysis and Dissemination is to be a Bachelor or Graduate, preferably in degrees related to either communication or data analysis. Those interested in taking this master's degree must demonstrate prior knowledge in one of these two areas: applied statistics or communication. Thus, the entry profile includes two differentiated groups, depending on the branch of knowledge of the studies (or previous professional experience).
- Firstly, graduates of degrees in which statistical knowledge is included in their study plans. Degrees in fields related to CC. Economics and Business or related, CC. of Health, Mathematics and Engineering. Students with this entry profile will take the training complement in communication, without this preventing some students from also wanting to take the complement in statistics.
- Secondly, there are graduates or graduates of degrees whose study plans include subjects on communication techniques and dissemination of information. Degrees in fields related to Journalism, Audiovisual Communication, Advertising and Public Relations....In this case they will take the training complement in statistics, with the aim of acquiring basic knowledge of descriptive statistics, regression and some data visualization tools.
1 Year
Sep
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
8,000 EUR
International
8,000 EUR
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