First year learning guides

 First semester

• Big Data
• Cloud Computing and Big Data Ecosystems Design
• Data Processes
• Statistical Data Analysis
• Intelligent Systems
• Introduction to Innovation and Entrepreneurship Management
• Introduction to Technology Watch and Competitive Intelligence

Second semester

• Deep Learning
• Information Retrieval, Extraction and Integration
• Image Processing, Analysis and Classification (elective)
• Data Science Seminars (elective)
• Experimentation in Software Engineering (elective)
• Programming for Data Science (elective)
• Image Mining (elective)
• Entrepreneurship and Business Modelling
• Launching of ICT products
• Summer School

Second year learning guides

First semester

• Data Mining and Time Series
• Mobile Applications Development
• Massively Parallel Machine Learning
• Open Data and Knowledge Graphs
• Cloud Computing and Big Data Ecosystems Design
• Data Analysis
• Innovation and Entrepreneurship Study

Second semester

• Master Thesis