Explore the programs and courses offered by Mathematical Engineering for Artificial Intelligence
Browse Programs Admission InformationThe Master's program in Mathematical Engineering for Artificial Intelligence (IMIA) is designed to prepare students to master the mathematical tools essential for the design, development, and implementation of artificial intelligence (AI) techniques. This program aims to combine in-depth knowledge of mathematics with a solid understanding of AI concepts and methods, thereby training professionals capable of making significant contributions to the field of AI and its practical applications. It seeks to produce highly qualified and versatile professionals who are equipped to face challenges and seize opportunities in this rapidly evolving domain.
Core courses by Semester
Semester 1:
· Probability and Random Modeling
· Stochastic Optimization
· Time Series
· Simulation Methods
Semester 2:
· Inferential Statistics
· Flow Simulation and Performance Evaluation
· Machine Learning
· Data Analysis
Semester 3:
· Stochastic Processes and Applications
· Advanced Machine Learning
· Numerical Methods
· Kernel Methods for Machine Learning
Semester 4:
· Master’s Thesis (Internship in industry or introductory research project)
· An interdisciplinary training combining applied mathematics and artificial intelligence.
· Mastery of advanced mathematical tools (partial differential equations, probability, statistics).
· Expertise in artificial intelligence: machine learning, advanced ML, and kernel-based methods.
· Programming skills in widely-used AI languages such as Python and R.
· Scientific methodology and applied modeling for AI and data.
· Diverse career opportunities: AI engineer, data scientist, AI consultant, R&D in applied mathematics.
· Strong employability with prospects in strategic sectors such as healthcare, energy, robotics, and finance.
Students holding a Bachelor's degree in "Applied Mathematics" or an equivalent qualification are eligible to apply for this Master's program. Admission is based on academic records and subject to available places. The program is open to candidates with one of the following degrees:
· Bachelor’s in Applied Mathematics
· Bachelor’s in Mathematics
· Any officially recognized equivalent qualification