Master of Data Science for Business X-HEC

PROGRAM STRUCTURE
 

The key aim of the teaching in this Joint Degree 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.

YEAR 1 AT ECOLE POLYTECHNIQUE

‘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.

The teaching will focus largely on the data produced by ‘real-life’ cases obtained in association with the program’s industrial partners. We will teach students the newest and most commonly used tools in this industry.

The program will also tackle the topics of data storage, as today’s companies need to rethink constantly the structure of their information systems without compromising performances and security. In particular, it is necessary to master the latest tools in data science, mainly Hadoop and MapReduce (Pig Latin, Hive, etc.)
 

MATHEMATICS REFRESHERS COURSES

Depending on the profile of the students, they will have access to mathematics foundation courses (mathematics, statistics and probabilities).

CORE COURSES

INTERNSHIP

PROGRAM FACILITATORS

YEAR 2 AT HEC PARIS

HEC Paris offers a sharp focus on Data for Business for the second year of the curriculum through a range of business challenges and courses on how to create business value using data. 

DATA FOR BUSINESS COURSES

Core courses 

• Data for Business Challenges: working on up-to-date business cases using data from a company 
• Data Engineering Courses: using latest tools (Spark, Github, Dataiku...) to build and deploy models 
• Advanced Coding in Python for Machine Learning 
• Reinforcement Learning and Advanced Deep Learning 
• Data Science for Management Courses: Data and Finance, Data and Sustainability, Data and Legal Questions, Data and Ethics...

During the second year at HEC Paris, students will have the opportunity to open their minds by being exposed to different subjects with students from other HEC Paris Majors: Entrepreneurs, MSc International Finance, MSc Strategic Management, MSc Sustainability and Social Innovation, etc. This is a great opportunity to experience how Data Science and AI can impact different domains.
 

DATA FOR BUSINESS CHALLENGES

3 SPECIALIZATIONS
 

• Data Entrepreneurship: creating your own startup by joining the HEC Startup Launchpad 
• Data Management: strengthening your expertise in data science to develop a company business from data collection to model deployment 
• Data Consulting: developing key skills to support and advise companies in their data journey 

ADMISSIONS

Master of Science Data Science for Business X - HEC

The program welcomes high potential students and recent graduates from around the world. An initial selection is based on the evaluation of all application elements. Pre-selected students are then invited to a challenging interview (on Skype or on campus).
 

THE PROFILE WE VALUE

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.

ENTRY 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.

APPLICATION PROCESS

THE TWO-PHASE SELECTION PROCESS

The selection is a 2 phase process:
 

• A first selection is made based on the evaluation of your application and supporting documents.
• The pre-selected candidates will then be invited for a face-to-face or Skype interview.

HOW TO APPLY

Supporting documents to be uploaded before the application deadline:
 

• 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
• Non-refundable application fee of €110.

LIVING COSTS

Approximately €1,000/month in 2016), covering housing, food, compulsory insurances (health and civil liability), sports and leisure.