48 monthsProgramme duration
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Undergraduate
Study Mode
On Campus
A graduate in Data Science and Engineering from Universidad Rey Juan Carlos (URJC) will acquire a multidisciplinary perspective of engineering, fully equipped to face the challenges of an ever-evolving technological environment. This environment is increasingly reliant on computational systems that generate, process, and analyze massive amounts of data.
The program at URJC stands out for combining solid foundations in mathematics, statistics, computer science, and engineering, offering students both theoretical knowledge and practical skills highly demanded in today’s job market. Through innovative teaching methodologies and close collaboration with industry, students are trained to manage the entire data lifecycle—from acquisition and storage to advanced analytics and visualization.
Graduates will be prepared to respond to the growing need for data-driven decision-making across sectors such as finance, health, marketing, industry, and public administration. They will be capable of extracting actionable insights from complex data sets, developing intelligent systems, and contributing to technological innovation through data.
This degree equips students to become key players in the digital transformation of society, with the ability to tackle real-world problems using data as a strategic resource.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Undergraduate
Study Mode
On Campus
A graduate in Data Science and Engineering from Universidad Rey Juan Carlos (URJC) will acquire a multidisciplinary perspective of engineering, fully equipped to face the challenges of an ever-evolving technological environment. This environment is increasingly reliant on computational systems that generate, process, and analyze massive amounts of data.
The program at URJC stands out for combining solid foundations in mathematics, statistics, computer science, and engineering, offering students both theoretical knowledge and practical skills highly demanded in today’s job market. Through innovative teaching methodologies and close collaboration with industry, students are trained to manage the entire data lifecycle—from acquisition and storage to advanced analytics and visualization.
Graduates will be prepared to respond to the growing need for data-driven decision-making across sectors such as finance, health, marketing, industry, and public administration. They will be capable of extracting actionable insights from complex data sets, developing intelligent systems, and contributing to technological innovation through data.
This degree equips students to become key players in the digital transformation of society, with the ability to tackle real-world problems using data as a strategic resource.
Admission Requirements
Tuition fees
Domestic
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