Master Data & Intelligence Artificielle

Program Overview

The Master Data & Intelligence Artificielle (Master Data and Artificial Intelligence) program at the Université Catholique de Lille provides expertise in data management and valorization through a blend of theoretical and practical training. It combines coursework with internships and emphasizes soft skills, preparing students for careers in data analytics, artificial intelligence, and business intelligence. The program boasts a strong industry network and a high employment rate, with graduates pursuing roles such as Data Analysts, Machine Learning Engineers, and Business Intelligence Managers.

Program Outline

Degree Overview:

The program is a Master Data & Intelligence Artificielle (Master Data and Artificial Intelligence), a national diploma in convention with the Université Polytechnique Hauts-de-France (Valenciennes). It falls under the Sciences, Technologies, Santé mention (Science, Technology, Health mention) with a specialization in Informatique (Computer Science) and the specific track of Technologies nouvelles des systèmes d’information et décisionnels (New Technologies of Information and Decision-Making Systems). It's described as a transdisciplinary master's degree. The program aims to provide expertise in data management and valorization. Students are trained by experienced professionals and researchers, working on real-case studies from partner companies. The program emphasizes soft skills. It's designed for students with a bachelor's degree in economics, management, marketing, law, or computer science, even those who don't know how to program, but are convinced data is the future. The program includes a 2-year apprenticeship where the company finances the studies and the student is an employee. Many courses are taught in English.

Outline:

The program is structured across two years (Master 1 and Master 2), both with alternating periods of coursework and company internships.

Master 1:

(September to May: Monday and Tuesday coursework, Wednesday to Friday in a company. In the company from June to mid-September.)

• Semester 1: Agile Project Management, Programming with Python, Advanced Spreadsheet Use, Decisional Dashboards and Dataviz, Data Science Basics, Linux Shell Bash, Business Database, Digital and Data Law, Introduction to Research Method 1, English, Soft Skills.
• Semester 2: Customer Analytics, Machine Learning 1, Social Network Analysis, Natural Language Processing 1, Data Acquisition and Cleaning, Statistical Modeling, English, Ethics 1, Soft Skills, Introduction to Research Method 1, Company Internship Evaluation.

Master 2:

(September to May: Monday and Tuesday coursework, Wednesday to Friday in a company. In the company from June to mid-September.)

• Semester 1: Innovation Management, Natural Language Processing 2, Machine Learning 2, Operational Analytics, Digital Marketing, Big Data 1, Predictive Analytics and Time Series Forecasting, Introduction to Research Method 2, English, Soft Skills.
• Semester 2: Advanced Topics, Deep Learning, Robotics: Introduction to ROS, Reinforcement Learning, People Analytics, Ethics 2, API & Cloud for Data Business, Big Data 2, English, Soft Skills, Introduction to Research Methodology 2, Company Internship Evaluation.

Teaching:

The program uses innovative pedagogical methods and tools, placing soft skills at the heart of the pedagogical project. Teaching is done by experienced professionals from the sector and researcher-teachers. The program includes a significant amount of coursework in English.

(Teaching: The teaching emphasizes a blend of theoretical coursework and practical application through real-world case studies and a significant internship component.)

Careers:

Graduates can pursue careers as Chief Data Officer, Business Intelligence Manager, Data Analyst, and Machine Learning Engineer. The program boasts a 92% employment rate six months after graduation.

Other:

The program is ranked among the best Master's, MS, and MBA programs in Computer Science, Artificial Intelligence, and Big Data in the Hauts-de-France region. The program's pedagogical approach emphasizes soft skills such as agility, innovation, autonomy, and the ability to "think outside the box." The program has a wide network of partner companies ranging from startups to large companies and SMEs.