Master of Science Artificial intelligence for Business

Program Overview

Master of Science Artificial Intelligence for Business (Part-time)

Presentation

The Master of Science Artificial Intelligence for Business (Part-time) program is designed to provide students with a comprehensive understanding of artificial intelligence and its applications in business. The program combines theoretical and project-based teaching, allowing students to develop a portfolio of new skills ranging from probabilistic modeling to deep learning, unstructured data processing, data visualization, and neural networks.

Cursus

The program consists of four certificates, each covering a specific aspect of artificial intelligence and business:

• Certificate 1: Quantitative methods and programming
• Certificate 2: Data Science & modeling
• Certificate 3: Neural Networks & Deep Learning
• Certificate 4: Deployment and management of an AI project

Careers

Graduates of the program can pursue careers in various fields, including:

• Machine learning engineer
• Machine learning developer
• Machine learning project manager
• Natural language processing engineers

Admission Requirements

The program is open to graduates with 4 or 5 years of higher education from engineering schools or universities in computer science, engineering, mathematics, statistics, or physical sciences. Graduates with 4 or 5 years of higher education from business schools or universities in economics or management, who have a keen liking for mathematical tools and have at least some experience in the fields of data/IA, are also eligible.

International

The program is taught in French, and international students are welcome to apply. The admissions department sets the date for individual interviews, and admission results are published on the aivancity admissions platform within a maximum of one week.

Tuition Fees

The tuition fees for the program are €17,000, which includes all study costs, including the international learning trip and the guarantee of updating the diploma for 5 years from the date of graduation.

Format

The program is part-time, with seminars on Fridays and Saturdays every other week. The total duration of the program is 350 hours.

Diploma

Graduates of the program receive a Master of Science degree "Machine Learning for Business Intelligence" and a State professional certification registered with the RNCP (National Directory of Professional Certifications) at level 7 (equivalent to Bac+5): "Artificial Intelligence Project Manager".

Learning Objectives

The program aims to provide students with the following skills:

• Distinguish the different modalities of machine learning
• Identify the machine learning methods appropriate to a specific business issue
• Analyze, process, and model massive data using explanatory statistical models
• Anticipate the ethical and societal implications of the use of machine learning methods
• Translate raw content into structured data by applying vectorization techniques
• Increase data by implementing a functional engineering approach
• Implement deep learning models by designing an optimized architecture
• Anticipate and remedy problems such as overlearning of the models developed
• Evaluate the reliability of predictive machine learning algorithms
• Interpret the results of machine learning algorithms and know how to use them in a specific business context
• Selecting the appropriate IT architecture for the problem at hand
• Leading the IT development of a machine/deep learning project
• Valuing the results of a machine/deep learning project
• Manage a machine/deep learning project

The Diploma Update Guarantee

aivancity is committed to providing its graduates with a set of services enabling them to adapt their skills to the evolving fields covered by artificial intelligence and data science. Graduates of the MSc Program benefit from this Guarantee for 5 years free of charge.

One-Week Learning Trip to Silicon Valley

The program includes a one-week learning trip to Silicon Valley, designed to provide students with an interactive immersion in the heart of the global epicenter of innovation, emerging technologies, and startups. The trip includes networking opportunities with innovative communities, meeting with tech players, discovering startups accelerators and technology hubs, participating in workshops and hackatons, and taking guided tours of AI companies and research institutions.