Master of Data Science and Innovation Management

Master of Data Science and Innovation ManagementProgramme flyer

    1. Goals
    2. Particularities
    3. Grants and scholarships
    4. Who is it for ?
    5. Teaching method
    6. The programme
    7. Internship
    8. Entry requirements / How to apply?
    9. Organisation
    10. Contact

After 20 years in existence, the Economic Intelligence and Innovation Management (IEGI) master's degree is evolving to better meet the challenges of today and tomorrow. Since the start of the 2022 academic year, it has been called Data Science and Innovation Management (DS&MI). Choosing DS&MI means joining a course at the Saint-Etienne School of Economics (SE²) that combines academic excellence and professional pragmatism, so that you acquire solid knowledge and skills in data science and innovation management and are able to convert them into strategic assets for companies and organisations.

Goals

The Master of Data Science and Innovation Management, a state-recognised degree, awarded after five years of higher education, caters to the new needs of businesses in terms of economic monitoring, use of data, and innovation management.
This master’s programme offers students with an economics, management or engineering background career-oriented training in the field of competitive intelligence and the management of innovative projects.
This implies constant interaction with data sources and information networks, mastery of data processing techniques, and the necessary economic knowledge and management skills to be able to harness such data to feed into corporate strategy. 

Particularities

Double degree with Canada

Students wishing to join the Master of Data Science and Innovation Management in the second year can apply to spend the first year of the master’s programme at the University of Quebec in Chicoutimi (UQAC).

They will qualify for a double degree – the Master of Data Science and Innovation Management and the Canadian Master in Organisational Management. For further details, contact the coordinator of the double degree. (corinne.autant @ univ-st-etienne.fr)

Partnership with the engineering schools Mines Saint-Étienne and Télécom Saint-Étienne

Thanks to a partnership with the two engineering schools Mines Saint-Etienne (fr) and Telecom Saint-Etienne (fr), students from these schools can study for the master’s and receive a double degree. The programme brings together students from engineering, economics and management studies.

Grants and scholarships

> Scholarships awarded on the basis of academic achievement
> Research grants for master’s students intending to continue to a PhD
> Outbound mobility grants (double degree with Canada)
Students admitted to the programme can spend Year 1 of the master’s programme (Data Science and Management of Innovation) at the University of Quebec in Chicoutimi (UQAC) and may receive a grant for this purpose. For further information, contact the coordinator of the double degree. (corinne.autant @ univ-st-etienne.fr)

More about grants and scholarships

Who is it for ?

This programme is aimed at students who have completed Year 1 of the Master of Data Science and Innovation Management at SE2 or the first year of a master’s degree in economics, management or public administration, or who hold a degree from an engineering or business school, or a technical degree (documentalist) of a level equivalent to four years of higher education.

Students from the engineering schools Mines Saint-Étienne and Télécom Saint-Étienne can join the Master Data Science and Management of Innovation as the result of agreements signed between the two schools.

Foreign students who come under the Campus France procedure should apply via the Study in France website.
They need to demonstrate an adequate command of French: DELF (Diplôme d'Etudes en Langue Française), corresponding to CEFR level B2, or DALF (Diplôme Approfondi de Langue Française) level C1 or C2.

Teaching method

Conferences and seminars given by outside speakers (administrators, company executives, consultants, etc.) are a regular feature of the programme.

The programme

340 hours of teaching by university lecturers and industry experts. The programme is designed around three main topics:

  • managing innovative activities (innovation economics, innovation project management, innovation law and industrial property law, investing in innovative projects)
  • information engineering (IT networks and security, information systems and collaborative working (groupware), knowledge extraction and data mining, Internet tools and languages, machine learning, business intelligence)
  • strategic use of data (documentary research techniques, competitive intelligence, monitoring technology and competition, strategy and planning, information law) 

MASTER 1 DATA SCIENCE AND INNOVATION MANAGEMENT COURSE
TERM 7
UE 7-1 : Economy and economic policy

- Economic policy
-
Evaluation of public policies

UE 7-2 : Applied Economy

- Economics for competition law
- Economie de l’environnement (option)
- Monitoring approach
- Economics of innovation 1

UE 7-3 : Quantitative methods and tools for economics

- Econometrics 2 (option)
- Data analysis
- Graph theory and its application to problem of society
- Strategic management
- Business English
- Other foreign language

- Prerequisites (school year 2023/2024)

- English
- Game theory
- Econometrics

TERM 8
UE 8-1 : Business intelligence and innovation management

- Geographic economy
- Economics of innovation 2
- Territorial economic intelligence

UE 8-2 : Quantitative methods and tools for economics

- Econometrics of program evaluation
- Information system
- Geographic Information Systems
-
Business English

UE 8-3 : Professional Experience Unit

- Project management
- Data monitoring and analysis project
- Research methodology
- Master class
- Professional Integration - Preparation of the Professional Project
- Internship 7

 

MASTER 2 DATA SCIENCE AND INNOVATION MANAGEMENT COURSE
TERM 9
UE 9-1 : Strategic exploitation of information

- Economic intelligence approach
- Economic intelligence applied to innovation
- Research technique
- Scientific and technical monitoring
- Strategy & prospective
- Information law

UE 9-2 : Mastery of innovative activities

- Economy of innovation
- Management of innovative projects
- Innovation management
- Financing innovation
- Innovation policies
- Innovation and industrial property law

UE 9-3 : Information engineering

- Computer networks and security
- Information systems and knowledge management
- Data mining
- Machine learning
- Business intelligence
- Monitoring tools

UE 9-4 : Professionalization

- English
- Master Class
- Professional integration - preparation of the Professional Project
- Project group

TERM 10
UE 10 : Professionalization

- Internship (4 mois minimum)

 

Internship

Workplace internship lasting between four and six months during which you will be supervised by a workplace tutor and an internship supervisor from the university. You will carry out a project relating to innovative activities or competitive intelligence and will be required to write and defend a dissertation.

Entry requirements / How to apply?

Admission is based on application and interview and subject to availability.

Entry into MASTER 1 DATA SCIENCE AND INNOVATION MANAGEMENT

- January 29, 2024: publication of the training offer opening in September 2024
- From February 26 to March 24, 2024: phase for submitting applications for initial training or work-study training. (www.monmaster.gouv.fr)
- From Tuesday June 4 to Monday June 24, 2024: main admission phase
- From June 25 to July 31, 2024: additional phase:
         - From June 25 to June 30, 2024: application phase and classification of applications still on the waiting list, for the management of withdrawals
         - From July 1 to July 12, 2024: Examination of applications
         - From July 15 to July 31, 2024: Admission phase
 

Entry into MASTER 2 DATA SCIENCE AND INNOVATION MANAGEMENT

1st wave:
- Start date for submission of applications: 04/03/2024 (e-Candidat)
- End date for submission of applications: 06/14/2024
- Closing date: 06/19/2024
- Confirmation deadline: 06/28/2024
- Supporting documents: (Curriculum vitae + Cover letter + Baccalaureate transcripts + Diplomas + Identity document + Post-Baccalaureate transcripts)


2nd wave:
- Start date for submission of applications: 03/07/2024 (e-Candidat)
- End date for submission of applications: 08/27/2024
- Closing date: 03/09/2024
- Confirmation deadline: 09/08/2024
- Supporting documents: (Curriculum vitae + Cover letter + Baccalaureate transcripts + Diplomas + Identity document + Post-Baccalaureate transcripts)

 

Organisation

  • Executive education
  • Full-time education

Contact

Programme Director
Christine Largeron 
Director of the Master of Data Science and Innovation Management
se2 @ univ-st-etienne.fr

Registrar
Valérie Moulard
se2 @ univ-st-etienne.fr
Phone. + 33 (0)4 77 42 13 85