About
The Master in Data Science combines knowledge from the areas of Mathematics and Informatics, providing specialized training in data exploration and machine learning.
Provides the theoretical foundation and computational skills for extracting actionable information from large-scale data.
- Knowing the inherent characteristics of large-scale data, namely variety, variability, dynamics, veracity, among others, and understanding ethical, privacy and security issues
- Understand new developments and challenges in the area
- Analyze and solve problems through innovative solutions
- Know and use data management, integration and analysis tools
- Manage and use high-performance computing systems, namely in the cloud, for data storage and processing
- Analyze, develop and apply tools and algorithms adapted to large amounts of data
- Understand and know how to apply artificial intelligence methods, namely machine learning and deep learning
- Develop and use tools and methods for information visualization, and communicate this information effectively, namely to decision makers in different application areas
Programme Structure
Training strongly focused on methods and their fundamentals, but also on the acquisition of practical skills in the application of tools and technologies for data management and analysis
1st semester
Optional Units
- Advanced Algorithms
- Algorithmic Theory of Information
- Information Retrieval
- Information Visualization
- Computational Statistics and Simulation
- Operations Research Methods
- Computation Theory
2nd semester
- Mining Large Scale Datasets
- Complements of Machine Learning
- Time Series
- Seminar
- Free choice optional
1st semester
- Dissertation / Project / Internship
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