Explore the programs and courses offered by Data Science and Artificial Intelligence
Browse Programs Admission InformationThe offered program primarily enables students to acquire advanced knowledge in the field of computer science, and more specifically, in artificial intelligence and data science, in connection with research and industry. This specialization will provide multidisciplinary skills in data management and artificial intelligence and its applications. At the end of this program, the graduate will be able to:
Model, design, and implement complex systems to solve real-world business problems.
Use advanced techniques in data science and artificial intelligence to develop intelligent approaches for solving complex business problems.
Store, extract, analyze, and exploit large volumes of data for various professional/academic purposes: decision-making support, evaluation, optimization, prediction, etc.
Master the design and implementation of learning systems, from raw data to evaluation.
Introduction to scientific research: research methodology, capacity for abstraction, autonomy, synthesis skills, etc.
Foundation of Artificial Intelligence
Advanced Operation Research
Data Mining
Distributed Artificial Intelligence and Intelligent Agents
Web Analytics and Natural Language Processing
Machine Learning and Computational Intelligence
Complex Systems and Artificial Intelligence
Advanced topics in this Master's program:
1. Advanced Artificial Intelligence
Planning and Solving Complex Problems
Intelligent Agents and Reinforcement Learning
2. Deep Learning
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN, LSTM, GRU)
Deep Learning Applications (Computer Vision, Natural Language Processing, etc.)
Generative Adversarial Networks (GANs)
3. Big Data and Massive Data Analytics
Hadoop and Spark Environments
Processing and Analyzing Large Data Volumes
NoSQL Databases
4. Advanced Machine Learning
Optimization Algorithms and Model-Based Learning
5. Complex and Multi-Agent Systems
Modeling and Simulation of Complex Systems
Distributed Artificial Intelligence
Coordination in Decentralized Systems
6. Web Analytics and Natural Language Processing (NLP)
7. Advanced Operations Research
Linear Programming and Nonlinear
8. Cybersecurity and Data Protection
9. Intelligent Applications
Computer Vision
Internet of Things (IoT)
Recommender Systems
Admission requires that the student has been accepted into the MI common core. Selection is based on common core results and university-defined criteria.
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