PARIS CITÉ UNIVERSITY · FRANCE
Master Vision and Intelligent Machines
Master's · Taught in en
At a glance
24 mo
Duration
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IELTS
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Tuition / yr
en
Language
Master's
Level
- Expertise in image processing, computer vision, and machine learning.Core Specializations
- Covers foundational to advanced AI concepts.Curriculum Breadth
- Taught by university researchers and industry professionals.Expert Faculty
- Option for traditional study or work-study (apprenticeship) in the second year.Flexible Study Modes
- Focus on developing and deploying intelligent autonomous systems.Applied AI
- Preparation for R&D roles in academia and industry.Research & Development Focus
The Master Vision and Intelligent Machines (VMI) program offers an in-depth Computer Science education focused on image processing, visual recognition, computer vision, and machine learning – key areas of modern Artificial Intelligence (AI). The curriculum progresses from foundational concepts to advanced techniques for designing and developing intelligent machines. The program is delivered by experienced researchers from Université Paris Cité, including members of the LIPADE laboratory, and professionals from institutions like Institut Pasteur and IGN, as well as industry experts. This blend ensures a comprehensive understanding of both theoretical and practical aspects of AI and intelligent systems. Graduates will be equipped for careers in research and development, AI engineering, data science, and higher education, focusing on innovation in intelligent machine design and application.
Curriculum
The Master VMI program is structured over two years. The first year (M1) provides a broad foundation, while the second year (M2) allows for specialization. The second year offers a choice between a traditional full-time study path (leading to an internship) or an apprenticeship program (alternating university study and professional work).
- M1 - Semester 1
- Advanced Programming
- Bases of Signal and Image Processing
- Introduction to Pattern Recognition
- Knowledge Representation and Reasoning
- Optimization and Algorithmics
- Algorithmic Complexity
- Probability and Statistics for Engineers
- English
- Mandatory Elective Unit (e.g., Unix/Linux System Administration, Student Engagement, Sport, Open Unit, Free Unit: Mobility)
- M1 - Semester 2
- Big Data
- Machine Learning
- Algorithmic Geometry
- Image Analysis
- Neural Networks for Computer Vision
- Data Science
- Distributed Programming
- Web Programming
- VMI Tutored Project
- Optional Internship
- M2 - Semester 3
- Deep Learning for Vision
- 3D Imaging
- Biomedical Imaging
- Video Sequences
- Multi-modality and Generative AI
- Advanced Pattern Recognition
- Methodology and Thematic Imaging
- Search and Semantic Extraction from Text
- Human-Robot Interaction
- Information Governance and Security
- Applied Information Security
- Intelligence and Open Source Research
- Research Evaluation Methods
- Intelligent Systems Modeling
- Industrial Vision Project
- M2 - Semester 4
- M2 VMI Internship
Careers
The VMI program trains experts to design, develop, and deploy autonomous and high-performing intelligent systems. Graduates gain advanced skills in machine learning, image processing, multimedia data analysis, computer vision, AI, and software programming, opening doors to a wide range of professions.
- Computer Vision Engineer/Designer (object detection, recognition, tracking algorithms)
- Data Scientist/Data Engineer (multimedia data analysis for decision-making)
- AI Researcher, Project Manager, or Engineer (deep learning and generative AI models)
- Intelligent Robotics Engineer (integrating visual perception and decision-making)
- Embedded Intelligent Systems Developer (hardware-constrained AI solutions)
- Innovation or Digital Transformation Consultant (AI integration)
- PhD candidate in AI and Artificial Vision research
Frequently asked questions
- What are the entry requirements for the Master Vision and Intelligent Machines program?
- Applicants should hold a Bachelor's degree (L3) in Computer Science or a related field with strong foundations in Computer Science and Mathematics. Direct admission to the second year (M2) may be possible for students with relevant qualifications and prerequisites.
- How long is the Master Vision and Intelligent Machines program?
- The program is structured over two years. The first year (M1) provides foundational knowledge, and the second year (M2) allows for specialization.
- What are the career prospects after completing this program?
- Graduates are prepared for roles such as Computer Vision Engineer, Data Scientist, AI Researcher, Intelligent Robotics Engineer, or Consultant in AI integration. The program also equips students for PhD studies.
- Are there different study options available in the second year?
- Yes, the second year (M2) offers a choice between a traditional full-time study path, which includes an internship, or an apprenticeship program that alternates university study and professional work.
- What are the tuition fees and living costs for international students?
- Specific tuition fees and living cost estimates for international students are not provided on the program page. Interested students should consult the university's general admissions and finance sections.
- How do I apply to the Master Vision and Intelligent Machines program?
- Applications are typically submitted through university platforms like MonMaster or eCandidat, based on a review of your academic record and supporting documents, including a CV and motivation letter.
Entry requirements
Bachelor's degree (L3)In Computer Science or an equivalent field. Strong foundations in Computer Science and Mathematics are essential.
Direct admission to M2 may be considered for students with relevant qualifications (e.g., from engineering schools) who meet the prerequisites.
Fees
Tuition (international)Not specified
Tuition (home)Not specified
LivingNot specified
Specific tuition fees and living cost estimates for international students are not provided on the program page. Interested students should consult the university's general admissions and finance sections.
How to apply
1. Check EligibilityEnsure you hold a Bachelor's degree (or equivalent) in Computer Science or a related field with strong foundations in math and computer science. Verify if your qualifications meet the specific requirements for M1 or M2 entry.
2. Prepare Application DocumentsGather all necessary documents, which typically include academic transcripts, diplomas, a CV, a motivation letter, and potentially language proficiency proof if required.
3. Submit ApplicationApplications are submitted through the designated platforms (MonMaster, eCandidat, or specific international student portals). Follow the instructions provided on the Université Paris Cité admissions page.
4. Selection ProcessAdmissions are based on a review of your application ('selection sur dossier'). Successful candidates will be notified.
5. EnrollmentIf offered a place, follow the instructions for enrollment and registration by the specified deadlines.
Accreditation
The program is part of the Faculty of Science at Université Paris Cité, a recognized public university.
Frequently asked questions
What are the entry requirements for the Master Vision and Intelligent Machines program?
+
Applicants should hold a Bachelor's degree (L3) in Computer Science or a related field with strong foundations in Computer Science and Mathematics. Direct admission to the second year (M2) may be possible for students with relevant qualifications and prerequisites.
How long is the Master Vision and Intelligent Machines program?
+
The program is structured over two years. The first year (M1) provides foundational knowledge, and the second year (M2) allows for specialization.
What are the career prospects after completing this program?
+
Graduates are prepared for roles such as Computer Vision Engineer, Data Scientist, AI Researcher, Intelligent Robotics Engineer, or Consultant in AI integration. The program also equips students for PhD studies.
Are there different study options available in the second year?
+
Yes, the second year (M2) offers a choice between a traditional full-time study path, which includes an internship, or an apprenticeship program that alternates university study and professional work.
What are the tuition fees and living costs for international students?
+
Specific tuition fees and living cost estimates for international students are not provided on the program page. Interested students should consult the university's general admissions and finance sections.
How do I apply to the Master Vision and Intelligent Machines program?
+
Applications are typically submitted through university platforms like MonMaster or eCandidat, based on a review of your academic record and supporting documents, including a CV and motivation letter.