Data Science

The Bachelor’s Degree in Data Science at the University of Valencia offers a comprehensive and multidisciplinary education designed to prepare students for the rapidly evolving field of data analysis and computational science. This program combines foundational knowledge in mathematics, statistics, and computer science with practical skills in data management, machine learning, and data visualization. Throughout the course, students will learn how to collect, process, analyze, and interpret large volumes of data from diverse sources, enabling them to make informed decisions and solve complex real-world problems across various sectors such as healthcare, finance, marketing, and social sciences. The curriculum includes core subjects like programming in Python and R, database management, algorithms, and statistical inference, alongside specialized topics such as artificial intelligence, data mining, and predictive modeling. Students will engage in hands-on projects, collaborations with industry partners, and internships that provide invaluable practical experience and foster innovation. The program is designed to develop not only technical expertise but also critical thinking, ethical considerations, and communication skills necessary for effective data storytelling. Graduates of this degree will be equipped to pursue careers as data analysts, data scientists, business intelligence specialists, and machine learning engineers, among others. The University of Valencia's state-of-the-art facilities, experienced faculty, and strong connections with industry ensure that students receive a high-quality education aligned with current market demands. Additionally, the program offers opportunities for international exchange and research projects, encouraging a global perspective on data science challenges. Upon completion, students will be competent in handling complex datasets, deploying data-driven solutions, and contributing to the digital transformation of organizations across multiple industries.

Compulsory subjects

• Análisis de señales
• Exploratory data analysis
• Web analytics
• Machine Learning (I)
• Machine Learning (II)
• Big Data
• Data science in biomedicine
• Data science in business
• Statistics and optimisation
• Management and manipulation of information
• Introduction to data science
• Advanced visualisation of data
• External internships
• Seminars
• Master's final project

Elective subjects

• Informatics
• Mathematics I

The recommended entry profile to take the University Master’s Degree in Data Science of the Universitat de València is that of graduates with basic skills in mathematics (algebra and calculus) and statistics (probability) both at a theoretical level and at a practical one in the use of computer tools to solve practical cases. The most adequate profiles correspond to the following graduates (at a Degree or Llicenciatura level):

• Informatics Engineering, Electronic Engineering, Telecommunications Engineering or Engineering in any of its specialties.
• Mathematics, Physics.
• Economy, Business Management and Administration.

Regarding personal aptitudes, we recommend that students applying for this master’s degree have an interest on the treatment of information at different levels: collection and storage, visualization, analysis and development of prediction models to establish future behaviours. The ability to identify prblems on data analysis in real applications (industrial areas, business, management, administration, health, etc.), and in other personal skills such as creativity, an innovative ability and interest for an ongoing learning process which is highly recommended for the training of a data scientist with a professional projection in fields with a high dynamism.

It is required that the students that enter this official degree have taken undergraduate degree or higher studies (graduated, engineer or llicenciatura) preferably in Maths, Physics, Engineering (Informatics, Electronics, Telecommunications and Industrial Engineering), Economy and Business Management and Administration.
The Academic Committee of the Master’s Degree will value, in accordance with the admission process we will describe next, that students who apply for the admission have acquired enough competence in mathematics and statistics, have used  in some subject of their training programming tools (such as R, C, Matlab, Python or similar) and who know the basics of the foundations of programming and data bases.
If those knowledges were insufficient, students should take the complementary training established in the 4.6 section of this memory.
For students of non-Spanish speaking countries, B2 Certification of Spanish language is required.

The admission applications will be valued by the Committee for Academic Coordination of the Master’s Degree in accordance to the following criteria: suitability to the profile (50%), the academic record (40%), professional experience related to data analysis (years of professional experience, personal interview by the Academic Committee, letters of recommendation of the jobs exercised, etc. (5%) and other academic and training merits such as additional degree or postgraduate degree qualifications related to the field of knowledge of the Master’s Degree, community languages with B1 or higher level, attendance to courses and semiars, etc. (5%).

The University of Valencia offers various funding opportunities to support students enrolled in the Degree in Data Science. These funding options aim to make higher education more accessible and affordable for both domestic and international students. Scholarships are available through the university’s general scholarship program, which includes academic achievement awards, financial need-based grants, and mobility scholarships for students participating in exchange programs. Additionally, the university collaborates with government agencies, private companies, and international organizations to provide specialized funding for students pursuing degrees in emerging fields like Data Science.

Students can apply for grants that cover tuition fees, living expenses, and research costs, depending on eligibility criteria. The university also offers merit-based scholarships for outstanding students and needs-based financial aid packages tailored to students demonstrating economic hardship. Besides scholarships, students are encouraged to explore external funding sources, such as European Union grants, regional government support, and private sector sponsorships, which may be available for specific research projects or internships related to Data Science.

The university’s Career Services and International Office frequently organize workshops and information sessions on available funding opportunities, application procedures, and deadlines. Some programs also provide for student employment options within the university, such as research assistantships or teaching assistantships, which can supplement students’ income while gaining practical experience. Financial support is also available for participating in international exchange programs, enabling students to study abroad for a semester or a year, which can enhance their academic profile and career prospects.

Overall, the University of Valencia is committed to facilitating access to higher education through a comprehensive system of financial aid, grants, and scholarships tailored specifically to students in Data Science and related disciplines. Prospective and enrolled students are encouraged to regularly check the university’s official website and contact the Financial Aid Office for updated information on available funding opportunities, application procedures, and deadlines, ensuring they can make the most of the financial support programs offered.

The Bachelor's Degree in Data Science at the University of Valencia offers students a comprehensive education in the rapidly evolving field of data analysis and computation. The programme aims to equip students with the fundamental skills necessary to extract, analyze, and interpret data from diverse sources, applying statistical and computational techniques to solve complex problems across various industries. The curriculum combines theoretical foundations with practical applications, emphasizing programming skills, statistical reasoning, and the use of advanced data analysis tools and software. Students gain proficiency in programming languages such as Python and R, along with knowledge of databases, data management, and visualization techniques essential for transforming raw data into meaningful insights. The programme also covers areas like machine learning, artificial intelligence, and big data technologies, preparing graduates for versatile roles in sectors such as technology, finance, healthcare, and research. Throughout their studies, students participate in projects, internships, and collaborative activities designed to enhance their practical experience and industry readiness. The programme's interdisciplinary approach fosters critical thinking, problem-solving abilities, and an understanding of ethical considerations related to data use. Graduates of this degree are well-positioned to pursue careers as data scientists, data analysts, business intelligence analysts, or further their education through postgraduate studies. Overall, the Data Science programme at the University of Valencia provides a rigorous and dynamic learning environment to develop expertise in one of the most innovative and high-demand fields today.