International Track on Machine Learning and Data Mining
Quick link to the specific Website for this MLDM Track ==> Here
Link to the application Web Site: Here
Overview
MLDM is an international track that provides an original scientific position in Europe on problems related to pattern recognition, machine learning, classification, modelling, knowledge extraction, data mining or big data analysis in the context of large amount of hetereogeneous and complex numerical or symbolic data. These issues have a strong employability potential for students trained in the field of modelling, analysis, prediction, information extraction, big data management or decision support, as well as in the area of the Web, image and video processing, health informatics, etc.
Openings: expert/consulting engineer in machine learning/data mining, expert/consulting engineer in business intelligence and Big Data, data scientist, data analyst, research and development manager, head of data analysis department, etc.
Course organisation
Semester 1, year 1 (M1) - 30 ECTS
- UE 1 : Advanced Algorithmics and Programming
- UE 2 : Complexity
- UE 3 : Introduction to Artificial Intelligence
- UE 4 : Data Analysis
- UE 5 : Introduction to Machine Learning
- UE 6 : Research methodology
- UE 7 : Foreign language
Semester 2, year 1 (M1) - 30 ECTS
- UE 1 : Computer Networks
- UE 2 : Optimization and Operational Research
- UE 3 : Machine Learning Fundamentals and algorithms
- UE 4 : Data Mining and Knowledge Discovery
- UE 5 : Computer Vision
- UE 6 : Internship - End of Year Project
Semester 3, year 2 (M2) - 30 ECTS
- UE 1 : Multi Agent Systems Coordination
- UE 2 : Advanced Machine Learning
- UE 3 : Data Mining for Big Data
- UE 4 : Deep Learning and Applications
- UE 5 : MLDM project
- UE 6 : Semantic Web
- UE 7 : Research methodology and Project Management
Semester 4, year 2 (M2) - 30 ECTS
- UE 1 : Internship