Graduate Specialisation Program in Machine Learning and Data Analysis
Universidade de Aveiro
Key Information
Campus location
Aveiro, Portugal
Languages
Portuguese
Study format
On-Campus
Duration
1 year
Pace
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Tuition fees
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Application deadline
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Earliest start date
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Introduction
Graduate Specialisation Program in Machine Learning and Data Analysis
The Machine Learning and Data Analysis Specialization course will allow students to understand the concept of data, in its different forms, and to understand and know how to deal with the common challenges associated with real data. It will give practical skills in data collection, preparation, processing and analysis and machine learning, using current tools based on Python and R languages.
At the end of the specialization course, the student should:
- Understand the data science pipeline, methods, challenges and goals;
- Know and apply techniques for cleaning and preparing data;
- Know and know how to use visualizations and other forms of exploratory data analysis;
- Know how to apply and interpret the results of data analysis methodologies;
- Know how to use and develop Python and R programs to model and analyze data with different characteristics, namely multivariate data and time series;
- Know the basic concepts and techniques of machine learning, namely machine learning and deep learning;
- Know how to implement machine learning algorithms using specialized libraries and frameworks;
- Know how to compare, discuss and interpret the results of algorithms and/or machine learning models.
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Admissions
Scholarships and Funding
Several scholarship options are available. Please visit the university website for more information.
Curriculum
Year 1
1st Semester
- Multivariant Statistics
- Foundations of Machine Learning
- Foundations of Data Science
2nd Semester
- Time Series
- Complements of Machine Learning