Masters in Artificial Intelligence Systems


Master of Artificial Intelligence Systems is one of the best courses to choose from that offers in-depth learning in a Artificial Intelligence. An MS Degree in Artificial Intelligence from the University of Trento has consistently made its place among the top global universities. International students prefer this course at the University of Trento due to its high graduate employability rate.

University of Trento offers exceptional education quality, high-end practical learning and ample work opportunities to its international students. After receiving their MS Degree in Artificial Intelligence from the University of Trento, students will be competent to carry out extensive research work in the field.

The interactive curriculum, vast research opportunities and exceptional teaching faculty at University of Trento offer students a life-altering learning experience. A Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Artificial Intelligence from the University of Trento is a great choice for students who want to analyse the field in great depth.

Why Study Artificial Intelligence Systems at University of Trento

  • A popular choice for international students with a diverse community
  • Learn from the best faculty members and become their research assistants
  • High-end labs to facilitate research work
  • Excellent placement programs after course completion

Course Highlights

Official website

link to course page

Application Fee


Application Deadline

March 10

  Fall round 1


Test Score Requirements test score requirement

Minimum english score required









Application Pre-requisites application pre requisite

  • Online Application
  • Application Fee
  • Academic Transcripts
  • English Language Proficiency
  • Copy of Passport
  • Statement of Purpose
  • Reference Letters

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Course Details

Core subject areas

  • Fundamentals of Artificial Intelligence
  • Machine Learning 
  • Natural Language Understanding
  • Artificial and biological Neural Systems
  • Signal, Image and Video
  • Law and Ethics in Artificial Intelligence

Class profile

Total no. of students in the class