Introduction
IntroductionThe Data Science with Immersive Technologies training program offers you the opportunity to delve into one of the most in-demand and growing disciplines in today's job market. As companies seek to innovate and optimize their processes, the ability to analyze large volumes of data and apply immersive technologies becomes an essential skill. You will not only learn about the role of a Data Scientist, but you will also acquire the skills necessary to visualize data in 3D, allowing you to have a more complete and dynamic perspective of your data. Participating in this training program gives you the competitive advantage you need to stand out in an increasingly digitalized professional environment geared toward immersive experiences.
Presentation
1 min 20 secs
Syllabus
SyllabusCertification
CertificationUniversity Microcredential Degree in Data Science with Immersive Technologies with 45 hours and 1 Credit issued by UNIMIAMI
Job opportunities
Job opportunities- Data analyst in virtual reality environments - Developer of data-driven immersive experiences - 3D data visualization specialist - Artificial intelligence consultant applied to immersive technologies - Data engineer for augmented reality platforms - Designer of interactive interfaces with real-time data
Scholarships
ScholarshipsUNIMIAMI presents AVANZA
Commitment to Educational Democratization
A financial aid program for its students. With this, the university reaffirms its commitment to democratizing education and empowering future professionals, convinced that education is key to improving quality of life and reducing inequalities.
Methodology
MethodologyTruly personalized learning
Your style, interests, and level define the journey. You are the starting point.
Constructivism in action
Explore, experiment, and apply. Learning means understanding, not memorizing.
AI that accompanies you, not directs you
PHIA, our artificial intelligence assistant, guides you without limiting your autonomy.
Pressure-free evaluation
Continuous and adaptive feedback. Because learning is a process, not a number.