Master of Science Data Science & AI for Business École Polytechnique-HEC

The Master of Science in Data Science & AI for Business at École Polytechnique-HEC is designed to equip students with the advanced analytical skills required to thrive in the ever-evolving realm of data-driven decision-making. This program combines technical knowledge in data science and artificial intelligence with practical business applications, ensuring that graduates can leverage these tools to enhance business operations.

This interdisciplinary curriculum includes courses on statistical modeling, machine learning, big data analytics, and the ethical implications of AI within a business context. Students will also engage in hands-on projects, allowing them to apply theoretical knowledge to real-world business challenges. Moreover, collaboration with industry partners provides valuable insights and networking opportunities, laying a foundation for a successful career.

Structured to foster both individual and collaborative learning, the program encourages the development of critical thinking, advanced problem-solving, and effective communication skills. Studying in a vibrant and innovation-driven country, students will benefit from an environment rich in cultural diversity, academic excellence, and cutting-edge research, greatly enhancing their learning experience.

Prospective students should typically hold a bachelor’s degree in a relevant field such as computer science, mathematics, statistics, or business. Additionally, a solid foundation in programming and quantitative analysis is preferred. Ideal candidates should also demonstrate strong analytical, problem-solving, and communication skills.

Applicants are generally expected to have a strong proficiency in English, often evidenced by an IELTS score of 6.5 or above or a TOEFL score of 95 or above. It is recommended that applicants check with the university for exact requirements.

International students must check the official requirements for student visas, as documentation can vary by nationality. Typically, students will need to provide proof of admission, financial resources, and health insurance, among other documents.

• Data Scientist
• Business Analyst
• AI Consultant
• Data Analyst
• Machine Learning Engineer
• Business Intelligence Manager
• Product Manager in Tech
• Quantitative Analyst