Overview

Computer Engineering (Specialization in Big Data and Artificial Intelligence)

Master
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Overview

Do you want to be a big data or AI engineer? Sign up for the Master’s program in Computer Engineering (Specialization in Big Data and Artificial Intelligence)! The high-level program is delivered over two years on a full-time basis, leading to new career prospects in a cutting-edge technology sector.
Duration
2 years
Schedule
Full-time, Daytime
Teaching language
French
Mode of Delivery
On-campus
Next session starts October 6, 2025

Opportunities

IT Certifications

Learners at HEM’s School of Engineering have the chance to earn professional certifications in different areas of IT: Cisco, Microsoft, Oracle, etc. Certifications that give you a leg up with recruiters!

 

Admissions Criteria

  • Required qualifications

    • Bachelor of Fundamental Studies
    • Former Bachelor of Science and Technology
    • Professional degree (S5/S6)
    • Bac + 3 years (S5/S6)
  • Specific pedagogical prerequisites

    C programming language, information systems and databases, data structure and complexity, linear algebra, numerical analysis, probability, statistics, algorithms, English, French

  • Selection procedure

    Review selection criteria: honors, number of years of study, grades in major subjects, etc.)

List of Courses

The Master’s program in Computer Engineering (Specialization in Big Data and Artificial Intelligence) is spread over two years:

  • Master 1 (fourth year)
  • Master 2 (fifth year)

First year of Master’s degree:

  • Languages
  • Advanced Java EE Programming
  • Graph Theory and Metaheuristics
  • Data Structures and Advanced Programming
  • Big Data Computing and Distributed Architecture
  • Advanced Machine Learning
  • Connected Objects and Internet of Things (IoT)
  • Cloud and Virtualization
  • Multimedia Data Handling
  • Cryptography
  • Decision Support Systems
  • Power Skills, Entrepreneurship and Career Building

Second year of Master’s degree:

  • Languages
  • Big data Integration
  • Knowledge Engineering
  • Artificial Neural Networks and Deep Learning
  • Computer Vision
  • Reinforcement Learning and Active Learning
  • Power Skills, Entrepreneurship and Career Building
  • Internship/PFE
 
Got questions?

We're here to help!
Chat with our live agents, or leave your contact information and we'll get back to you.