Université Côte d’Azur (UniCA)
MSc in Data Sciences and Artificial Intelligence
DURATION
2 Years
LANGUAGES
English, French
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
EUR 5,000 / per year
STUDY FORMAT
On-Campus
Introduction
The MSc Data Science and Artificial Intelligence is one of the International Master of Science programs, created within the framework of the Initiative of Excellence UCA JEDI.
The MSc Data Science & Artificial Intelligence is an MSc awarded by Université Côte d'Azur.
The MSc Data Science and Artificial Intelligence is a 2-year MSc at Université Côte d’Azur. It provides training in data science & artificial intelligence methods, emphasizing mathematical and computer science perspectives. Students will receive a thorough grounding in theory, as well as learning the technical and practical skills of data science & Artificial Intelligence enabling them to apply advanced methods of data science to investigate real-world questions.
The core courses will provide students with a comprehensive understanding of some of the most fundamental aspects of data, computational techniques, and statistical analysis. The program will combine traditional lectures with computer lab sessions, in which students will work with data to complete hands-on exercises using programming tools and analyze real data provided by professionals who are working in the industry.
Curriculum
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
Admissions
Scholarships and Funding
IDEX Scholarships for International MSc Programs
Each year Université Côte d'Azur awards 10 Idex scholarships to the best MSc candidates. The recipients of these grants of excellence will be exempt from tuition fees and will receive a stipend of €5,000.
This scholarship is awarded for one year only.
France Excellence Europa Scholarship Program
Developed by the Ministry for Europe and Foreign Affairs, the "France Excellence Europa" scholarship program allows students from 26 European Union countries to obtain scholarships to study at the Master's level in a French institution of higher education.
EIFFEL Scholarship
The Eiffel Excellence Scholarship Program was established by the French Ministry for Europe and Foreign Affairs to enable French higher education institutions to attract top foreign students to enroll in their master's.
It gives opportunity to the future foreign decision-makers of the private and public sectors, in priority areas of study, and encourages applicants up to 25 years old from developing countries at the master’s level.
Program Tuition Fee
Gallery
Career Opportunities
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