Big Data and Artificial Intelligence

1st Semester (30 ECTS)

Compulsory Courses

  • Big Data Analytics (6 ECTS)

  • Database Systems (6 ECTS)

  • Knowledge Technologies (6 ECTS)

  • Machine Learning (6 ECTS)

Elective Courses (select one)

  • Clustering Algorithms (6 ECTS)

  • Biostatistics (6 ECTS)

  • Natural Language Processing (6 ECTS)

  • Social Implications of the technologies (6 ECTS)

  • Time series data analysis and applications (6 ECTS)

  • Introduction to Bioinformatics (6 ECTS)

  • Information Theory (6 ECTS)

  • Optimization – Theory and Algorithms (6 ECTS)

  • Special topics in Big Data and Artificial Intelligence (6 ECTS)

2nd Semester (30 ECTS)

Compulsory Courses

  • Deep Neural Networks (6 ECTS)

  • The Internet of Things (6 ECTS)

  • Big Data Management (6 ECTS)

  • Image Processing and Analysis (6 ECTS)

Elective Courses (select one)

  • Geometric Data Analysis (6 ECTS)

  • Information Technologies in Neurosciences (6 ECTS)

  • Information Technologies in Medicine (6 ECTS)

  • Innovations in Data Science (6 ECTS)

  • Algorithms in Molecular Biology (6 ECTS)

  • Machine Learning in Computational Biology (6 ECTS)

  • Computer Vision (6 ECTS)

  • Special topics in Big Data and Artificial Intelligence (6 ECTS)

Bioinformatics – Biomedical Data Science

1st Semester (30 ECTS)

Compulsory Courses

  • Biology – Physiology (6 ECTS)

  • Introduction to Bioinformatics (6 ECTS)

  • Introduction to Biotechnology (6 ECTS)

  • Machine Learning (6 ECTS)

Elective Courses (select one)

  • Clustering Algorithms (6 ECTS)

  • Biostatistics (6 ECTS)

  • Natural Language Processing (6 ECTS)

  • Social Implications of the technologies (6 ECTS)

  • Big Data Analytics (6 ECTS)

  • Molecular Modeling of Biomolecules (6 ECTS)

  • Database Systems (6 ECTS)

  • Knowledge Technologies (6 ECTS)

  • Special topics in Bioinformatics (6 ECTS)

2nd Semester (30 ECTS)

Compulsory Courses

  • Algorithms in Structural Biology (6 ECTS)

  • Algorithms in Molecular Biology (6 ECTS)

  • Machine Learning in Computational Biology (6 ECTS)

  • Image Processing and Analysis (6 ECTS)

Elective Courses (select one)

  • Geometric Data Analysis (6 ECTS)

  • Information Technologies in Neurosciences (6 ECTS)

  • Information Technologies in Medicine (6 ECTS)

  • Innovations in Data Science (6 ECTS)

  • Deep Neural Networks (6 ECTS)

  • Big Data Management (6 ECTS)

  • Special topics in Big Data and Artificial Intelligence (6 ECTS)

3rd Semester (30 ECTS)

Compulsory Courses

  • Master’s Thesis (30 ECTS)

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