Thạc sĩ Khoa học dữ liệu và trí tuệ nhân tạo

First Semester

Refresher

• Basic Probability
• Basic Algebra for Data Analysis
• Basic Algorithmics
• Methods and tools for technical and scientific writing

Statistics

• Statistical Inference theory

Machine Learning

• Introduction to Machine Learning
• Introduction to Deep Learning
• Ethical Aspects of Data

Programming

• R Programming for Data Science
• Python Programming for Data Science
• Distributed Big Data Systems

Workshop and Vulgarization

• Workshop and vulgarization

Second Semester

Statistical Learning

• Introduction to Information Theory
• Model Selection and Resampling Methods
• Optimization for Data Science

Machine Learning

• More on Learning Algorithms
• More on Deep Learning
• Web of Data

Personal Work

• Case studies
• Internship

Third Semester

Mandatory Courses

• Bayesian Learning
• Model-Based Statistical Learning
• Advanced Deep Learning
• Reinforcement Learning

Research Project

Medical Track

• Medical Images
• Inverse Problems in Image Processing
• Application of machine learning to MRI, electroencephalography, and brain-computer interfaces
• Geometric and topological methods in data analysis, with applications in biology and medicine
• Biomedical Signal Processing
• Machine learning for multi-omics integration

Core AI Track

• Statistical Learning in High Dimension
• Advanced Learning: functional, mixed and text data
• Statistical Analysis of Graph (Networks)
• Deep Learning for Computer Vision
• Federated Learning - Data Privacy
• Statistical Learning Theory

Fourth Semester

• Personal Training

At the end of the MSc DSAI students can work in companies as experts or engineers, in development, research and development, consulting services related to artificial intelligence and machine learning, and data processing. They can also continue their training with a doctoral thesis which can be carried out either in an academic research laboratory or in a company, for example with a CIFRE contract.

Join the Job Market:

• Data analyst
• Data mining
• Data scientist
• Chief Data Officer
• Machine learning engineer
• Big data engineer
• Big data architect
• Specialist in data visualization

Continue to PhD

• PhD in public or private sector