Embrace AI with the Professional Master’s degree in Computer Science – Artificial Intelligence offered at Université Laval and its internship program!
The Professional Master’s degree in Computer Science – Artificial Intelligence offered at the Faculty of Science and Engineering at Université Laval is first and foremost a program involving practical experience which includes an internship in a company, spanning two university terms. Upon completing this program, the student will be able to develop software using AI techniques while refining his knowledge, analytical skills as well as critical thinking in order to perfect decision-making skills in order to solve complex problems.
More information on the Master’s in Computer Science – Artificial Intelligence
The Master’s degree in Computer Science – Artificial Intelligence offers a program which includes a practical learning experience, including two required internships in a company, spanning two university terms.
Upon completing this degree, the student will be able to develop software using artificial intelligence techniques while refining his knowledge, analytical skills as well as critical thinking in order to perfect decision-making skills in order to solve complex problems. The student will be able to provide appropriate solutions based on intelligence in areas where conventional solutions are difficult, if not impossible to conceive. The student will thereby help companies cope adequately with the phenomenon of big data and support companies in their digital transformation.
Develop skills applicable to several spheres of activity
The challenges and needs in artificial intelligence are so great, complex and diverse that the expertise associated with this high-level training is applicable in a multitude of spheres of activity such as health, transportation, manufacturing, finance, education, video games or marketing.
Be part of a rich ecosystem of researchers and entrepreneurs
Upon completing the program, the student will be able to work as a computer specialist in the field of artificial intelligence. He or she will be part of a rich ecosystem of researchers and entrepreneurs, making Quebec a world-class leader in this field.
Take advantage of a program associated with several areas of expertise
- Machine learning
- Intelligent robotics
- Intelligent systems
- Artificial vision
- Language processing
- Data science
- Advanced manufacturing
- Big data processing
Are you working in a company? Take advantage of the Professional Master’s in Computer Science – AI to support your digital transformation!
The Master’s degree in Computer Science – AI at Université Laval offers a program which includes practical experience, including an internship spanning two full university terms for each student. Companies can, in collaboration with IID, propose and develop various internship projects for students enrolled in the program.
The internship in a company
Artificial intelligence is present in only a few companies since this field is currently emerging and expertise in this area is still scarce. The objective of the internships associated with the professional Master’s degree in Computer Science – AI offered at Université Laval is to support and promote the transfer of expertise from the university to companies or organizations, to encourage the emergence of collaboration of either a prospective or applied nature, and to stimulate the regional ecosystem by rapidly training qualified experts.
In addition to the supervision provided by the company, each internship is accompanied and supervised one day per week by a research professional associated with the Institute Intelligence and Data (IID), for the entire duration of the internship, supported financially through a Mitacs flexible funds program.
These are compulsory end-of-program internships:
- 21 credits in the form of two courses;
- 6 out of 8 courses must be completed beforehand;
- A minimum average of B- is required.
This is an internship spanning two university terms (i.e. 8 months):
- 80% presence in the company over a period of 6 months.
- Presence one day / week on the ULaval campus for scientific supervision.
- Preparation of the final report over a period of 2 months.
The internship is part of the final evaluation of the Master’s degree:
- The final internship report is evaluated by one or more professors;
- The report must include technical and scientific aspects.
Internship funding model
- A contribution of $ 15k + tx per internship is requested from the company;
- An amount of $ 20k in scholarship is offered to each student intern;
- The Mitacs matching funds cover the cost of the support and mentoring provided by research professionals.
The grant application associated with the internship is prepared by a research professional with the internship projects being selected, after discussion with the company. Thus, each company will be individually contacted so as to define and describe the project, which is then submitted to Mitacs one to two months before the beginning of the internship, to secure the funding for the student, as well as conduct the ethics review of the project, if necessary.
Internship calendar
For internships beginning in mid-January:
- Deadline for collecting internships: end of September
- Internships proposed to the students: mid-October
- Meeting and selection of the interns: mid-November
- Grant application submission: end of November
For internships beginning in mid-May:
- Deadline for collecting internships: end of January
- Internships proposed to the students: mid-February
- Meeting and selection of the interns: mid-March
- Grant application submission: end of March
Need more information on the internship program?
If you need more information on the internship program associated with the Master’s in Computer Science – Artificial Intelligence, you can watch the webinar “Everything you need to know about the Professional Master’s degree in Computer Science – AI (and its internships)!” presented by research professional Camille Besse in the fall of 2020, which provides a 30-minute summary of the program.
Please feel free to contact the IID Institute team by writing to: stages@iid.ulaval.ca.
A few examples of projects completed with the company internship program associated with the Professional Master’s in Computer Science – AI
Algorithme de classification pluri-label et structurée multi-niveaux
Francis Brochu, Can-Explore
Reconnaissance d’objets non-supervisé
Evan Rausch-Larouche, Bentley Systems
Analyse et traitement de données télématiques
William Bourget, Co-Operators
Système de lutte contre des transactions frauduleuses
Olivier Mercier, Axes Network
Génération et correction automatique de taxonomies et de valeurs de facettes
Simon Provencher, Coveo
Reconnaissance de la satisfaction du client basée sur une interaction téléphonique
Samuel Ouellet, Desjardins Assurances générales
Modélisation et suivi d’utilisateurs dans une application
Rhita Ouliz, Coveo
Correction des primes d’assurance habitation en présence de dépendance spatiale
Christopher Blier-Wong, Intact Corporation financière
Plongements de mots spécifiques au domaine et translinguistiques
Loïc Baret, Gartner
Classification multi-niveaux avec métadonnées
Antoine Lippé, Can-Explore
Automatisation du séchage du bois
Cédric Aitkadi, Boa-franc
Détection de primitives dans des images 2D pour la simplification des modèles 3D correspondants
Dany Labarre, Bentley Systems
Classification temporelle multi-niveaux
Alaf Derraf, Can-Explore
Analyse des appels pour déclaration de sinistres
Gabriel Boily, Desjardins Assurances générales
Refonte du système de gestion des autorisations des patients et médicaments d’exception
Keven Voyer, RAMQ
Analyse et extraction de caractéristiques de voitures à partir d’images
Samuel Lévesque, Intact Corporation financière
Classification des résultats de consultation citoyenne
Mikaël Gélinas, Artifici
Prédiction logistique en pharmacie de détail
Bruno Kinder Almentero, Thales
Approche semi-supervisée pour l’identification et la localisation des bris et défectuosités
Olivier Bloch, Bentley Systems
Comprendre les enjeux des communautés
Jérôme Camiré-Bernier, Co-Operators
Robustesse aux données débalancées
Rares Ovidiu David, Thales
Marché du travail et compétences recherchées
Elliot Leclerc, Service de placement de l’Université Laval
Information visuelle locale pour mesurer le risque en assurance automobile
Étienne Bessette, Co-Operators
Réseaux de neurones complexes
Liu Ruoyu, Thales
Priorisation de contenu dans un fil continu
Rabemiafara Nantenaina, Vaolo
Partenaires du programme
Professional Master’s in Computer Science – AI Industry Partners
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