Within the fourth industrial revolution, digital technologies have been evolving at a rapid pace and are increasingly being used across organizations. Highlights include big data, the internet of things, and the use of artificial intelligence and machine learning, leading organizations to adopt solutions using appropriate tools, such as Python, R, and other programming languages, which are applied in data science and business intelligence.

This course provides students with skills and knowledge in a variety of areas, including data analysis, statistical models, machine learning, data mining, data visualization, and data science project management. It also helps students develop problem-solving, critical thinking, and effective communication skills, paving the way for career opportunities in this field, which offers a wide range of opportunities in the job market.

Equip students with the skills and knowledge needed to perform data analysis, apply statistical models, use artificial intelligence with machine learning, perform data mining, utilize data visualization techniques, and manage data science projects, while also developing problem-solving, critical thinking, and effective communication skills.

This course is intended for students with a bachelor’s degree or higher, but students without a degree who wish to learn and work in data science are also accepted.

Introduction to Data
32 hours – 6 ECTS

Big Data and Technologies
48 hours – 6 ECTS

Python Programming
64 hours – 6 ECTS

Probability and Statistics for Data Science
48 hours – 6 ECTS

Data Analysis and Visualization Techniques
32 hours – 6 ECTS

Artificial Intelligence and Machine Learning
64 hours – 6 ECTS

Data Science Project Management
32 hours – 6 ECTS
Final Project
6 ECTS

António Cabeças
Inês Almeida
Laercio Cruvinel
Sérgio Ferreira