Overview

Our MSc - Data Science & Business Analysis combines a technical and business approach. Its purpose is therefore to put data analysis and big data at the service of "business" and "strategic" decision-making in fields as diverse as marketing, operations management and finance.

The participants will thus acquire an in-depth knowledge of the latest methods for structuring, analyzing and visualizing data, enabling them to solve business problems.

EDC Paris Business School’s DNA, represented by experience-based pedagogy by means of projects or missions, will naturally be privileged.

At the completion of this degree course, each participant will have acquired skills in the 4 interconnected fields of data science:

  • Information Systems & Computing: use of management software, databases, Machine Learning and Data Science
  • Mathematics & Statistics: Data Analysis, Machine Learning et Data Science
  • Business & Fields of expertise: project management, marking, finance and operational excellence
  • Communication & Impact: data visualization, communication skills and cross-functional management

1st and 2nd years in English and initial program with alternating internships (1 week of courses and 3 weeks in a company).

Program is labelised MSc (Master of Science) by the "Conférence des Grandes Ecoles" 

Objectives

  • To develop basic big data skills,
  • To make future decision-makers more aware of data issues from a technical perspective (collection, integration, modeling, visualization) and of the necessity for a global understanding of the managerial challenges of big data,
  • To convey the management tools specific to the data processing, analysis and visualization industries.
  • To make data scientists true business partners.

Study plan

  •  Ethics and solidarity
  •  Corporate finance
  •  Strategic diagnosis of the company
  •  Management information system and project management
  •  Entrepreneurial ecosystem
  •  Self-awareness and personal development
  •  Business English
  •  Probability and statistics for data science
  •  Mathematics for data science
  •  Excel and data analysis
  •  SQL and database operations
  •  Introduction to the programming language python
  •  Personal and professional development
  •  Business English
  •  Tools of business analytics I
  •  Tools of business analytics II
  •  Machine Learning (level 1)
  •  Big data stakes and tools
  •  Data visualization and storytelling
  •  Advanced python
  •  Research methodology
  •  Personal and professional development
  •  Business English
  •  Finance for analytics and data science
  •  Marketing for analytics and data science
  •  Operational excellence for analytics and data science
  •  Machine learning (level 2)
  •  Personal and professional development
  •  Action seminar - Hackathon
  •  Business English

Beginning of courses

  • September 2021

*Tuition fees

  • French and International students:
    • Master 1 and 2: €26,000
    • Master 2: €15,600

Admisison requirements

Candidate profile (French and international students):

  • 1st year: for holders of a French Baccalaureate +3 (180 ECTS credits) or foreign equivalent, students or professionals who wish to reorient or boost their career.

Admission based on application, motivation interview and language level exam.

  • 2nd year: for holders of a French Baccalaureate +4 (240 ECTS credits) or foreign equivalent, students or professionals who wish to reorient or boost their career.

Admission based on application, motivation interview and language level exam.

No prior knowledge of French is necessary; however, French courses are strongly recommended for non-French speakers in the program.

Assessment procedures

During the academic curriculum, students are assessed in various ways:

- Exams are specific to the teaching cycle: thereafter, students are evaluated mainly through case studies, role-plays and project presentations.

- A written report is required after every internship in view of demonstrating the acquisition of skills.

- In the 5th year, students submit an End of Studies Thesis (EST) and defend it before a jury composed of two professors. The validation of the EST is one of the requirements for the diploma.

 

More generally, we use the following six levels of cognitive skills to assess our students:

- Understanding: quizzes, matching exercises, etc.

- Recognizing/Knowing: quizzes, matching exercises, etc.

- Applying : (practical exercises, simulations, etc.)

- Analyzing : (problem solving, case studies, etc.)

- Evaluating : (case studies, reviews etc.)

- Creating: (projects etc.)

Professors award bonus points for active participation, in class or on-line, when students contribute to a discussion forum.

Contact

We remain at your disposal by e-mail: 

Pedagogical Director Master Cycle : Laura Haddad - informations@edcparis.edu

Contact for the Disability Advisor Isabelle Fontanella : ifontanella@edcparis.edu

Schooling contact : Laurie-Anne Marquez informations@edcparis.edu 

Career opportunities

  • Marketing Science Marketing Director
  • Consultant DATA
  • Chief Data Officer
  • Audit Manager
  • Chef de Projet Data
  • Data Analyst
  • Consultant Pilotage & Business Intelligence

 

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eventsMeet us

MAIN EVENT
12
Nov
Evening "Discoveries" ONLINE- Thursday, November 12, 2020 from 5:00 pm to 7:00...
26
Nov
Day of preparation for the oral exams of the Sesame Competition from 6 to 7 p.m.
03
Dec
Immersion Experience
12
Nov
Evening "Discoveries" ONLINE- Thursday, November 12, 2020 from 5:00 pm to 7:00 pm
10
Dec
Evening "Discoveries" - Thursday, December 10, 2020 from 6 to 8 p.m.
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