• Targeted level of study

    BAC +5

  • ECTS

    120 credits

  • Duration

    1 or 2 years

  • Training structure

    Montpellier Management

  • Language(s) of instruction

    French

Presentation

Programme

Select a programme

Marketing, Innovation and Territories (MIT)

The Master's degree in Marketing, Innovation and Territories allows students to specialize in the sectors of territorial marketing, tourism and innovation. The objective is to support the multiple actors of the territories (local authorities, large companies, start-ups, accommodation providers, incubators, etc.) in their economic development, by training marketing specialists capable of reinforcing their attractiveness and their commercial success on an international scale.

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Sport and Leisure Marketing (SLM)

The Master's degree in Sports and Leisure Marketing offers a specialization in marketing and digital marketing in the sports, leisure and tourism sectors. The courses take place over two years.

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Marketing and Communication of Organisations (MCO)

The Master's degree in Marketing and Organizational Communication allows students to specialize in the field of marketing and organizational communication.

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Wine Trade (CV)

The Master of Wine Trade trains sales managers specialized in the wine sector, with a high level of expertise based on marketing, negotiation and management skills, both nationally and internationally.

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Marketing and Data Analytics (MDA)

This Master's degree provides students with training that covers the various facets of marketing and data analytics - the collection, management and analysis of data - in order to improve marketing performance. To this end, the course focuses on the process of marketing analytics from the development and use of statistical tools to effective communication to audiences via data visualization through applications in the key areas of strategic marketing (e.g. segmentation and targeting), digital marketing (e.g. effectiveness of online advertisements) and relationship marketing (e.g. customer capital or Customer Lifetime Value, CLV).

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  • Mastering the marketing and sales environment

    8 credits
    • Performance management

      3 credits
    • Business English

      2 credits
    • Marketing law

      3 credits
  • Developing market insights

    11 credits
    • Cross-cutting seminar 1 - professional conferences

      1 credit
    • Quantitative Methods

    • Qualitative Methods

      3 credits
    • Consumer behaviour

      4 credits
    • Quantitative Methods

      3 credits
    • Qualitative Methods

  • Develop/formalise a marketing strategy

    11 credits
    • Strategic Marketing

      4 credits
    • Digital literacy

      4 credits
    • Strategic management

      3 credits
  • Optional

    • Spanish S1

      15h
    • German S1

      15h
    • Optional sport

  • Supporting marketing decisions with statistical expertise

    9 credits
    • Customer analytics

      3 credits
    • Introduction to marketing analytics

      3 credits
    • Introduction to programming with R and Python

      3 credits
  • Developing multi-channel customer relations

    6 credits
    • Management of marketing and sales teams

      1 credit
    • Distribution and merchandising

      2 credits
    • Customer strategy

      3 credits
  • Integrating into working life (level 1)

    10 credits
    • Cross-cutting seminar 2 - professional conferences

    • Business English

      2 credits
    • THESIS MASTER 1

      6 credits
    • Professional Project 1: Challenge or Serious Game

      1 credit
  • Operationalise your marketing strategy

    5 credits
    • Brand management

      2 credits
    • Digital marketing tools and analytics

      2 credits
    • Segmentation and positioning techniques

      2 credits
  • Optional

    • German S2

      15h
    • Optional sport

    • Spanish S2

      15h
  • Preparing data to inform decision-making

    12 credits
    • Data management systems and IT tools

      4 credits
    • Practice of data analysis software

      4 credits
    • Advanced programming in R and Python

      4 credits
  • Adapting one's action to a professional context

    10 credits
    • Data visualisation and storytelling with data

      4 credits
    • Management and project management

      3 credits
    • Data challenge

      3 credits
  • Mastering practical, theoretical and ethical marketing issues

    8 credits
    • New perspectives on marketing research

      4 credits
    • In-depth study and research methodology

      2 credits
    • Cross-cutting seminar - Ethics and professional responsibility

      2 credits
  • Optional

    • Optional sport

  • Formalise and adapt data analytics

    12 credits
    • Master 2 thesis

      8 credits
    • Professional project/Rech

      4 credits
  • Developing customer relations through data science

    10 credits
    • Multidimensional statistics

      4 credits
    • Data-Driven Approaches to CRM

      2 credits
    • Advanced customer analytics

      4 credits
  • Optimising digital marketing with data science

    8 credits
    • Text mining

      2 credits
    • Advanced digital analytics

      4 credits
    • Data-Driven Approaches to Digital Marketing

      2 credits
  • Optional

    • Optional sport