Bachelor’s Degree in Data Science

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Online 3 years (180 credits)

The Bachelor’s Degree in Data Science prepares university undergraduates to address complex problems that involve data sets of diverse typology, apply their scientific-technical knowledge to develop innovative solutions, and work in multidisciplinary teams. In addition, you will acquire critical capacity in the analysis and interpretation of results, and you will be able to communicate easily in different contexts.

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OBJECTIVES

The Bachelor’s Degree in Data Science prepares university undergraduates to address complex problems that involve data sets of diverse typology, apply their scientific-technical knowledge to develop innovative solutions, and work in multidisciplinary teams. In addition, you will acquire critical capacity in the analysis and interpretation of results, and you will be able to communicate easily in different contexts.

REQUIREMENTS

• High School Diploma
• University entrance exam for those over 25
• Advanced Diploma in Administration or similar.

CAREER OPPORTUNITIES

The professional opportunities cover very diverse areas, since data science is a transversal discipline that is applied in sectors as varied as health, finance, marketing, logistics, public administration, the environment, education or industry. This allows – both new graduates and professionals seeking reorientation – access to responsibility roles related to the processing and strategic use of data within organizations in any field.

Study plan

YEAR 1

Semester 1

○ Fundamentals of programming (Python & R) (10 ECTS)
○ Linear algebra and calculation for data science (10 ECTS)
○ Statistics and Probability (10 ECTS)

Semester 2

○ Information systems and databases (10 ECTS)
○ Digital tools and collaborative work in data science (10 ECTS)
○ Introduction to data science and data ethics (10 ECTS)

YEAR 2

Semester 1

○ Data mining (10 ECTS)
○ Data visualization and data storytelling (10 ECTS)
○ Machine Learning (10 ECTS)

Semester 2

○ Data Architecture and Big Data (10 ECTS)
○ Multivariate analysis (10 ECTS)
○ Advanced statistical computing (10 ECTS)

YEAR 3

Semester 1

○ Introduction to research and scientific methodologies (12 ECTS)
○ Optional Courses (18 ECTS)

Semester 2

○ Internships (15 ECTS)
○ Bachelor Final Project (15 ECTS)

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