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In summary:
A master’s degree in artificial intelligence:
- Is generally offered at schools specializing in digital engineering or computer science, or at engineering schools.
- Requires at least 5 years of post-baccalaureate study.
- Teaches Big Data, statistical analysis tools and techniques, programming, etc.
- Is offered at ECE as part of an MSc program or an engineering cycle with the appropriate major.
Why do you want to do a Master’s degree in artificial intelligence?
Training inartificial intelligence is an excellent decision if you want to easily find a dynamic and booming job. However, to give yourself the best chance of one day gaining a position of great responsibility in this field, you should at least aim for a Master’s degree. By opting for the latter, you effectively have a wider choice of jobs in artificial intelligence.
With research still underway to improve various aspects of artificial intelligence, choosing to do research in the field remains an excellent alternative. If, for example, you are planning to contribute to the program as part of a doctorate, you will need a Master’s degree to be admitted to the program.
What kind of schools offer masters in artificial intelligence?
Lately, many institutions have been offering training courses in artificial intelligence. However, Master’s degrees directly linked to them are rarer. The establishments offering them are generally computer science schools, schools specializing in digital engineering or engineering schools.
What are the main subjects studied during a master’s degree in artificial intelligence?
Holders of a Master’s degree in artificial intelligence are expected to have a good command of certain techniques taught throughout their course. Some subjects are naturally more important than others.
Among other things, to be able to enter a career in artificial intelligence after your Master’s degree, and to carry out your assignments properly, you need to master the following subjects:
- advanced web technologies ;
- advanced databases ;
- computer networks ;
- operating systems ;
- information systems security ;
- IT infrastructure ;
- machine Learning ;
- big data ;
- statistics.
We invite you to visit our website to find out more about the various programs focusing on artificial intelligence. Please consult our FAQ section.
Is it possible to take a master’s degree in artificial intelligence at ECE?
AtECE, a school specializing in digital engineering, we offer a wide range of programs enabling you to obtain a diploma at bac + 5 level, the equivalent of a Master’s degree. By opting for our engineering cycle, you can even obtain the title of engineer.
Our suggestion for a master’s degree in artificial intelligence is an MSc in Data Management & Artificial Intelligence. This program is available in Paris, lasts 2 years, and is accessible with a bac + 3 diploma in computer science, mathematics or other related branches.
To obtain the title of engineer and a diploma at bac + 5 level, our engineering program does indeed include majors that may be linked to artificial intelligence. Among others, you can opt for the Data & AI Major.
Is it possible to do a Master’s degree in artificial intelligence in a sandwich course at ECE?
At our school, we care about your development and your learning. To give you more time to invest in your professional experience, we offer work-study master’s courses.
That said, while this alternative is available for the Data & AI Major in our engineering cycle, our MSc is a traditional training program. To find out more about the ECE work-study program, visit our website.
What career options are there after a Master’s degree in artificial intelligence?
From technician jobs to the most prestigious, you can access the vast majority of them after a master’s degree in artificial intelligence. It’s even easier to move from one profession to another as part of a career change when you have the necessary skills and qualifications.
Among the most fashionable professions accessible with a master’s degree in artificial intelligence, there are the following:
- Research engineer in computer vision and deep learning.
- Cloud & Data Architect.
- Data Engineer.
- Data project manager.
- Chief Data Officer.
- Data Manager.