Studyportals Study cover for Data Science for Business Joint Degree with Ecole Polytechnique

Data Science for Business Joint Degree with Ecole Polytechnique

M.Sc.
24 months
Duration
18450 EUR/year
18450 EUR/year
Unknown
Tuition fee
Passed
Unknown
Apply date
Unknown
Start date

About

This Data Science for Business Joint Degree with Ecole Polytechnique programme from HEC Paris will equip students with both the technical skills and the strategic mindset to lead successfully any business career requiring a strong expertise in Big Data.

Visit the official programme website for more information

Overview

The key aim of the teaching in this   Data Science for Business Joint Degree with Ecole Polytechnique from  HEC Paris is to provide students with the tools needed to solve real problems, using structured and unstructured data masses, teaching them to ask the ‘right’ questions (both from statistics and ‘business’ perspectives) and to use the appropriate mathematical and IT tools to answer these questions.

Students will be equipped to shift constantly from data to knowledge, from knowledge to strategic decision, and from strategic decision to operational business implementations.

All these shifts carry with them numerous challenges that each require an interdisciplinary approach involving mathematics, IT, business strategy, and management skills.

‘Data science’ is based on the statistical processing of information (Statistics / Numerical statistics and Machine learning).

A wide range of statistical methods will be explored throughout the program, along with methods derived from applied mathematics.

The program aims to sharpen students’ understanding of how these methods link basic, essential theories that play a considerable role in practice.

Career opportunities

Make the most of our world-class career services to fulfill your potential and achieve your objectives.

Placement opportunities: 

  • BCG
  • McKinsey & Co
  • Bain & Co
  • Capgemini
  • Google
  • Facebook
  • Amazon

Programme Structure

Courses included:

  • Introductory Supercase
  • Digital Transformation
  • Making sense of the technology ecosystem
  • Acquisition strategy growth hacking and full stack marketer
  • Regulations and Compliance in Data Science
  • Data Analytics for Business Strategy
  • Deep Learning 
  • Time Series and Financial Data

Audience

This master is just as relevant for IT specialists and applied mathematicians as it is for high-potential students with little to no former exposure to IT and statistics, as long as they have a strong level in mathematics.

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Required
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
Required
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.
Required

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Students must have a strong level in Mathematics and hold at least a Bachelor’s degree in the following fields:

  • Bachelor in Science
  • Bachelor in Engineering
  • Bachelor in Business or in Economics.
The pre-selected candidates will then be invited for a face-to-face or Skype interview.
  • Degree certificate(s) or current enrollment certificate
  • All official academic transcripts obtained in a higher education institution (exchange programs included) with official GPA
  • Résumé (CV)
  • GMAT or GRE or TAGE MAGE official test score report
  • English language proficiency test score report (TOEFL or TOEIC or IELTS or Cambridge)
  • 2 completed online reference forms (at least one should be filled out by a professor)
  • Passport-style photo

Tuition Fee

  • International

    18450 EUR/year
    Tuition Fee
    Based on the original amount of 18450 EUR per year and a duration of 24 months.
  • EU/EEA

    18450 EUR/year
    Tuition Fee
    Based on the original amount of 18450 EUR per year and a duration of 24 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Science for Business Joint Degree with Ecole Polytechnique
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HEC Paris

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