48 monthsProgramme duration
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Undergraduate
Study Mode
Online
The Bachelor in Data Science trains scientists capable of mining and handling massive amounts of information during every stage of the process. Students acquire the necessary knowledge and skills to design data searches, selecting specific data sources and variables of interest according to each problem or project. They also learn to process data using denoising, outlier detection and normalisation methods, and to propose hypotheses, provide answers and solve any prediction, planning and prevention issues that may arise during projects.
The curriculum addresses fundamental aspects of statistics, mathematics, databases, and programming. It also covers other areas that are essential for data scientists, including automatic learning techniques, such as Machine Learning or Deep Learning, or cloud technologies, such as Big Data, Cloud Services and Cloud Computing.
The Bachelor in Data Science is designed for students with a strong foundation in mathematics and a clear interest in data analysis of all kinds, particularly data from social networks, open data portals, financial data, and more. These students should also have a curiosity about current and future technologies in the field of data science, the development of smart cities, and the evolution of the Internet of Things, as these paradigms provide real-time data that serve as the raw material and foundation for this Bachelor.
To apply for admission, candidates must fill out the online application form. The admission tests consist only of a Mathematics test (40%) and a psychometric test (60%). The Mathematics test, which lasts one hour, is made up of multiple-choice questions on mathematical concepts covered in Compulsory Secondary Education. The psychometric test, which also lasts one hour, includes a set of questions that measure basic intellectual abilities. Each candidate’s admissions score is calculated based on the result of these tests (40% of the admissions score) and their GPA in the core subjects of the first year of Baccalaureate (60% of the admissions score). Places will be assigned strictly according to the admissions score ranking, based on the criteria and weights described above.
The ideal incoming student profile for the Bachelor in Data Science includes individuals with knowledge of mathematics, abstract and logical thinking at a technological high school level, as well as basic computer literacy and strong analytical and synthesis skills. No prior knowledge of programming or advanced computer administration is required. Additionally, future Data Science students should demonstrate responsibility and perseverance in their academic performance, as well as the ability to work in interdisciplinary teams.
You can specialise further in Artificial Intelligence by complementing your degree with the Minor in Artificial Intelligence.
The curriculum addresses fundamental aspects of statistics, mathematics, databases, and programming. It also covers other areas that are essential for data scientists, including automatic learning techniques, such as Machine Learning or Deep Learning, or cloud technologies, such as Big Data, Cloud Services and Cloud Computing.
The Bachelor in Data Science is designed for students with a strong foundation in mathematics and a clear interest in data analysis of all kinds, particularly data from social networks, open data portals, financial data, and more. These students should also have a curiosity about current and future technologies in the field of data science, the development of smart cities, and the evolution of the Internet of Things, as these paradigms provide real-time data that serve as the raw material and foundation for this Bachelor.
To apply for admission, candidates must fill out the online application form. The admission tests consist only of a Mathematics test (40%) and a psychometric test (60%). The Mathematics test, which lasts one hour, is made up of multiple-choice questions on mathematical concepts covered in Compulsory Secondary Education. The psychometric test, which also lasts one hour, includes a set of questions that measure basic intellectual abilities. Each candidate’s admissions score is calculated based on the result of these tests (40% of the admissions score) and their GPA in the core subjects of the first year of Baccalaureate (60% of the admissions score). Places will be assigned strictly according to the admissions score ranking, based on the criteria and weights described above.
The ideal incoming student profile for the Bachelor in Data Science includes individuals with knowledge of mathematics, abstract and logical thinking at a technological high school level, as well as basic computer literacy and strong analytical and synthesis skills. No prior knowledge of programming or advanced computer administration is required. Additionally, future Data Science students should demonstrate responsibility and perseverance in their academic performance, as well as the ability to work in interdisciplinary teams.
You can specialise further in Artificial Intelligence by complementing your degree with the Minor in Artificial Intelligence.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Undergraduate
Study Mode
Online
The Bachelor in Data Science trains scientists capable of mining and handling massive amounts of information during every stage of the process. Students acquire the necessary knowledge and skills to design data searches, selecting specific data sources and variables of interest according to each problem or project. They also learn to process data using denoising, outlier detection and normalisation methods, and to propose hypotheses, provide answers and solve any prediction, planning and prevention issues that may arise during projects.
The curriculum addresses fundamental aspects of statistics, mathematics, databases, and programming. It also covers other areas that are essential for data scientists, including automatic learning techniques, such as Machine Learning or Deep Learning, or cloud technologies, such as Big Data, Cloud Services and Cloud Computing.
The Bachelor in Data Science is designed for students with a strong foundation in mathematics and a clear interest in data analysis of all kinds, particularly data from social networks, open data portals, financial data, and more. These students should also have a curiosity about current and future technologies in the field of data science, the development of smart cities, and the evolution of the Internet of Things, as these paradigms provide real-time data that serve as the raw material and foundation for this Bachelor.
To apply for admission, candidates must fill out the online application form. The admission tests consist only of a Mathematics test (40%) and a psychometric test (60%). The Mathematics test, which lasts one hour, is made up of multiple-choice questions on mathematical concepts covered in Compulsory Secondary Education. The psychometric test, which also lasts one hour, includes a set of questions that measure basic intellectual abilities. Each candidate’s admissions score is calculated based on the result of these tests (40% of the admissions score) and their GPA in the core subjects of the first year of Baccalaureate (60% of the admissions score). Places will be assigned strictly according to the admissions score ranking, based on the criteria and weights described above.
The ideal incoming student profile for the Bachelor in Data Science includes individuals with knowledge of mathematics, abstract and logical thinking at a technological high school level, as well as basic computer literacy and strong analytical and synthesis skills. No prior knowledge of programming or advanced computer administration is required. Additionally, future Data Science students should demonstrate responsibility and perseverance in their academic performance, as well as the ability to work in interdisciplinary teams.
You can specialise further in Artificial Intelligence by complementing your degree with the Minor in Artificial Intelligence.
The curriculum addresses fundamental aspects of statistics, mathematics, databases, and programming. It also covers other areas that are essential for data scientists, including automatic learning techniques, such as Machine Learning or Deep Learning, or cloud technologies, such as Big Data, Cloud Services and Cloud Computing.
The Bachelor in Data Science is designed for students with a strong foundation in mathematics and a clear interest in data analysis of all kinds, particularly data from social networks, open data portals, financial data, and more. These students should also have a curiosity about current and future technologies in the field of data science, the development of smart cities, and the evolution of the Internet of Things, as these paradigms provide real-time data that serve as the raw material and foundation for this Bachelor.
To apply for admission, candidates must fill out the online application form. The admission tests consist only of a Mathematics test (40%) and a psychometric test (60%). The Mathematics test, which lasts one hour, is made up of multiple-choice questions on mathematical concepts covered in Compulsory Secondary Education. The psychometric test, which also lasts one hour, includes a set of questions that measure basic intellectual abilities. Each candidate’s admissions score is calculated based on the result of these tests (40% of the admissions score) and their GPA in the core subjects of the first year of Baccalaureate (60% of the admissions score). Places will be assigned strictly according to the admissions score ranking, based on the criteria and weights described above.
The ideal incoming student profile for the Bachelor in Data Science includes individuals with knowledge of mathematics, abstract and logical thinking at a technological high school level, as well as basic computer literacy and strong analytical and synthesis skills. No prior knowledge of programming or advanced computer administration is required. Additionally, future Data Science students should demonstrate responsibility and perseverance in their academic performance, as well as the ability to work in interdisciplinary teams.
You can specialise further in Artificial Intelligence by complementing your degree with the Minor in Artificial Intelligence.
Admission Requirements
4 Years
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