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Academic requirements

If you wish to apply for the joint degree program Data Science For Business, please note that applications must be submitted via our partner's website HEC. Read carefully the information on the application process and deadlines on their website. For further information about requirements in Mathematics and Computer Science, please visit this page.

 


For all the other programs, please read carefully the information on this page about academic requirements.

 

Minimum academic requirements for entry into year 1

Applicants must hold or expect to hold prior to the beginning of the program, at least a bachelor’s degree in a relevant field or a degree. 

Program

Relevant majors:

Artificial Intelligence & Advanced Visual Computing

Bachelor's degree in mathematics and computer science. Applicants must have followed at least one statistics course. Candidates with other degrees may be considered, provided that they have a strong background in the above-mentioned subjects.

Internet of Things: Innovation & Management

Bachelor's degree in Science, Technology, Engineering or Mathematics, or "Diplôme d'ingénieur"

Economics, Data Analytics and Corporate Finance

Bachelor's degree in Economics and/or Mathematics, or "Diplôme d'ingénieur"

Energy Environment: Science Technology and Management

Bachelor's degree in Engineering Science, Mechanical Engineering or Physics or "Diplôme d'ingénieur"

Smart Cities and Urban Policy

Bachelor's degree in Economics, Mathematics, Civil Engineering and/or Transportation Studies, or "Diplôme d'ingénieur"

Ecotechnologies for Sustainability and Environment Management

Bachelor's degree in Engineering, Chemistry, Physics or Geology, Biology

Cybersecurity: Threats and Defenses

Bachelor's degree in Computer Science

Candidates with other degrees may be considered, provided that they have a strong background in the above-mentioned subjects. Please note that Ecole Polytechnique is ranked in the world's Top20 in Mathematics, therefore the level in Mathematics is particularly high in all academic programs. Do not hesitate to indicate in your personal statement all the relevant courses that you have followed (including courses in Mathematics).

For applicants interested in the Economics, Data Analytics and Corporate Finance program and Smart Cities and Urban Policy program, please read the list of prerequisites in Mathematics.

The admission committee will assess the relevance and quality of the bachelor's degree. The Graduate Point Average (GPA), the individual grades for the courses, class rank and any academic awards will also be taken into account.

 

Minimum academic requirements for entry into year 2

Three academic programs may offer a direct entry into the second year:
>> Economics, Data Analytics and Corporate Finance
>> Energy Environment: Science Technology and Management
>> Internet of Things: Innovation & Management
(The other graduate degree programs offer admission to the first year only.)

Admission in year 2 is highly selective and students must meet the following minimum requirements:

Program

Relevant majors:

Artificial Intelligence

Master's in computer science including Machine Learning courses or a Master's in statistics/Machine Learning including programming courses. Candidates with other degrees may be considered, provided that they have a strong background in the above-mentioned subjects.

Economics, Data Analytics and Corporate Finance

Master's degree or M1 in Economics with emphasis on Quantitative Economics, or "Diplôme d'ingénieur" with a strong background in Quantitative Economics.

Energy Environment: Science Technology and Management

Master's degree or M1 in Applied Physics or Mechanics, Energy or Environment or "Diplôme d'ingénieur" with a major in Energy, Environment, Physics, Mechanics or Electrical Engineering.

Internet of Things: Innovation & Management

Master’s degree M1 or one year of study beyond a Bachelor’s degree (or equivalent), including a networking course and an electronics course

Smart Cities and Urban Policy

Master's degree or M1 in Economics  or "Diplôme d'ingénieur" with a background in Quantitative Economics

The admission committee will assess the relevance and quality of the degree. The Graduate Point Average (GPA), the individual grades for the courses, class rank and any academic awards will also be taken into account.

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