Educads
Master's Degree Computer Science & IT Full Time

MSc in Artificial Intelligence

at Central Supélec · France

Duration

1 or 2 years depending on background and degree

Intake

Fall, Spring

Mode

Full Time

Tuition

On request

Campus

Paris-Saclay

About this program

The MSc in Artificial Intelligence at Central Supélec offers an in-depth exploration of the fundamental and advanced concepts in AI. The program integrates theoretical knowledge with practical applications, focusing on areas such as machine learning, neural networks, data mining, and computer vision. Students will gain a comprehensive understanding of how AI technologies are designed, implemented, and evaluated across various domains.

Throughout the course, students will engage in a blend of lectures, hands-on projects, and collaborative research, allowing them to apply their knowledge to real-world challenges. The curriculum is structured to include core modules covering essential AI techniques, as well as elective courses that enable students to specialize in areas of personal interest. This approach ensures that graduates are well-equipped with the skills necessary for the rapidly evolving tech landscape.

In addition to technical proficiency, the program places a significant emphasis on developing analytical and problem-solving skills. Students will learn to think critically and creatively about complex issues, preparing them for leadership roles in the tech industry. Studying in a country renowned for its innovation and technological advancements, students benefit from exposure to pioneering research and a collaborative atmosphere with industry leaders.

Entry requirements

Applicants to the MSc in Artificial Intelligence program typically need to hold a bachelor's degree in computer science, engineering, mathematics, or a related field. Relevant work experience or a demonstrated aptitude for mathematical and programming skills may also be beneficial. Admission is usually competitive, and successful candidates will exhibit a strong foundation in the principles of computer science and quantitative reasoning.

English:

Proficiency in English is essential for academic success in this program. Candidates are generally expected to achieve a minimum score of 6.5 in IELTS or 90 in TOEFL (internet-based), with no individual component score lower than 6.0 in IELTS or 20 in TOEFL. However, specific requirements may vary, so it is advisable to check the exact standards set by the university.

International students:

International students are required to obtain a student visa to study in the destination country. Generally, this entails providing proof of acceptance to the university, financial stability, and accommodation details. Additional documentation such as health insurance and personal identification may also be requested. It is essential for prospective students to verify the exact visa requirements and procedures on the official government immigration website.

Career outcomes

  • Data Scientist
  • AI Researcher
  • Machine Learning Engineer
  • Software Developer in AI
  • Business Intelligence Analyst
  • Robotics Engineer

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