Master's Degree in Data Analysis and Dissemination (ESP) 12 months Postgraduate Programme By CEU Universities |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

8,000 EURTuition Fee/year

Main Subject Area

Business AnalyticsMain Subject Area

Programme overview

Main Subject

Business Analytics

Degree

Other

Study Level

Masters

Study Mode

On Campus

This official Master's Degree in Data Analysis and Dissemination trains you in a double aspect: knowing how to interpret data and present it in an academically correct, visual and narrative way.

It is a transversal training that brings together several professional branches such as communication, journalism, economics, engineering, legal and health. You will be able to work as a data analyst and strategic communicator in a multitude of areas, from small to large businesses, consulting companies, media, STEM profile sectors, etc. 

The subjects of the Master in Data Analysis combine Communication, Statistics and a small component of Programming at the user level.

You will acquire the numerical capacity to develop analysis, interpretations and predictions of data, keys to data-driven decision making.
And you will be able to find the best way to visualize the variables of interest and connect the graphic content with the development of the story, depending on the audience you intend to reach.

Programme overview

Main Subject

Business Analytics

Degree

Other

Study Level

Masters

Study Mode

On Campus

This official Master's Degree in Data Analysis and Dissemination trains you in a double aspect: knowing how to interpret data and present it in an academically correct, visual and narrative way.

It is a transversal training that brings together several professional branches such as communication, journalism, economics, engineering, legal and health. You will be able to work as a data analyst and strategic communicator in a multitude of areas, from small to large businesses, consulting companies, media, STEM profile sectors, etc. 

The subjects of the Master in Data Analysis combine Communication, Statistics and a small component of Programming at the user level.

You will acquire the numerical capacity to develop analysis, interpretations and predictions of data, keys to data-driven decision making.
And you will be able to find the best way to visualize the variables of interest and connect the graphic content with the development of the story, depending on the audience you intend to reach.

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

Tuition fees

Domestic
8,000 EUR
International
8,000 EUR

Scholarships

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