Studies Master in Information and Computer Science

About profiles

Each profile has a set of required courses and a set of related (optional) courses associated with it. A student realises a profile if she/he has successfully validated all the required courses in a profile.

To obtain the master degree, a student must realise at least one profile. By limiting the number of required courses in each semester we ensure that the student can pursue multiple profiles if she/he desires so.

Note that the set of profiles is not static. Indeed additional profiles may be introduced to accommodate student, professor or industry needs.

Artificial Intelligence profile

Learning outcomes:

After successful completion of this profile the student will be able to

  • Use state-of-the-art approaches and tools for assessing large amounts of data
  • Explore and extract knowledge from large and/or complex information bases
  • Implement and apply machine learning methods for solving common AI problems
  • Use logical methods to formalise knowledge and to reason about it, in particular in multi-agent systems and deontic contexts

Semester 2

Required Courses:

  • Big Data Analytics
  • Intelligent Agents I
  • Knowledge Discovery and Data Mining

Related Courses:

  • Introduction to Mathematical Statistics (from math)
  • Formal Methods
  • Optimisation for Computer Science
  • Information Theory and Coding

Semester 3

Required Courses:

  • Intelligent Agents II
  • Machine Learning

Related Courses:

  • Fundamentals of Causal Learning
  • Autonomous Robot Software
  • Parallel and Grid Computing
  • Selected Topics from AI