Description
The Business Intelligence and Analytics program at the University of Valencia is a pioneering degree in the Spanish academic landscape, designed to meet the increasing demand for professionals proficient in business analytics. This program aims to cultivate individuals with a blend of technical expertise and a strategic business outlook. Students will be immersed in cutting-edge data technologies and their practical applications in business contexts. The curriculum is tailored to equip graduates with a deep understanding of industry requirements, fostering a high level of creativity and adaptability essential for navigating the dynamic digital economy.
Career Opportunities:
Graduates of the Business Intelligence and Analytics program are well-positioned for roles such as Data Analysts, Business Intelligence Specialists, Data Scientists, and Business Analytics Managers, among others.
Requirement
- Submit transcripts of grades and degree
- Provide UNEDassis accreditation
- For students over 25, 40, or 45 years: Certification of passing tests
- Documentation certifying your identity (DNI/NIE/Passport)
- Proof of university admission (PAU qualifications, vocational training certificate, etc.)
- Pass relevant entrance examinations (PAU Bachillerato, etc.)
- Obtain access credentials (students over 40, EU upper secondary school certificate)
- Possess proper qualifications (vocational training certificate, university degree)
Structure
The Degree in Business Intelligence and Analytics (Grado en Business Intelligence y Analítica) is a four-year undergraduate program offered by the Faculty of Economics at the Universitat de València (UV). Here's a breakdown of the program structure:
Basic Training (60 ECTS credits): Foundational courses in statistics, mathematics, economics, computer science, and methodology relevant to business intelligence and analytics.
Compulsory Courses (138 ECTS credits): In-depth study of various aspects of business intelligence and analytics, covering topics like Data Management, Business Analytics Techniques, and Data Visualization.
Elective Courses (30 ECTS credits): Tailor your studies with elective courses such as Social Media Analytics, Healthcare Analytics, and Business Intelligence Project Management.
Final Project (12 ECTS credits): Demonstrate your skills through a research project applying business intelligence and analytics to real-world challenges.