MSc in AI and Data Science
Οικονομικό Πανεπιστήμιο Αθηνών
Πληροφορικής & Στατιστικής
Full/Part Time - Δια Ζώσης

Full Time Program

Fall Quarter (October – December)
Core Courses:

  • Probability and Statistics for Data Analysis (6 units)
  • Machine Learning and Computational Statistics (7 units)
  • Practical Data Science (6 units)

Elective Courses:

(Selection from the list)

Winter Quarter (January – March)
Core Courses:

  • Large Scale Data Management (6 units)
  • Numerical Optimization and Large Scale Linear Algebra (6 units)
  • Text analytics and engineering (6 units)
  • Legal, Ethical and Policy Issues in Data Science (3 units)

Elective Courses:

(Selection from the list)

Spring Quarter (April – June)
Core Courses:

  • Data Visualization and Communication (6 units)

Elective Courses:

(Selection from the list)  


Part Time Program

1st Year

Fall Quarter (October – December)
Core Courses:

  • Probability and Statistics for Data Analysis (6 units)
  • Practical Data Science (6 units)

Winter Quarter (January – March)
Core Courses:

  • Large Scale Data Management (6 units)
  • Machine Learning and Computational Statistics (7 units)

Spring Quarter (April – June)
Core Courses:

  • Numerical Optimization and Large Scale Linear Algebra (6 units)
  • Text analytics and engineering (6 units)

Elective Courses:

(Selection from the list)

2nd Year

Fall Quarter (October – December)
Core Courses:

  • Data Visualization and Communication (6 units)
  • Legal, Ethical and Policy Issues in Data Science (3 units)

Elective Courses:

(Selection from the list)

Winter Quarter (January – March)

Elective Courses:

(Selection from the list)

Spring Quarter (April – June)

Elective Courses:

(Selection from the list)

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