Master 2 MIASHS, Business and data analyst track

statistical computer

Master's degree presentation

In two years, the MIASHS "Business and Data Analyst" master's program trains specialists to use an economic analysis grid to understand, study and enhance the value of data in the face of the challenges posed by the digital transformation of our societies. At the end of the course, students will have the skills to master the reading, visualization and analysis of data, to transform data into strategic information that can be used by decision-makers, to understand the economic challenges of digital, AI and Big Data, and to master specialized software (R, Python, Analyzer, Google Analytics).

The course is built around two areas of expertise: a solid technical grounding in data analysis (statistical and econometric methods, data processing and visualization) and the economic analysis of markets from the point of view of corporate strategies and consumer behavior (in particular, personal data markets, the economic challenges of the digital world). Fundamental skills are acquired in the first year, and are further developed in the second. Students also benefit from professional English courses in M1 and M2.

In the MIASHS Business and Data Analyst master's program, professionalization is ensured by: internships in M1 (2 to 4 months) and M2 (4 to 6 months), the possibility of following the M2 level on a sandwich course (on professional contracts and/or apprenticeship contracts: three weeks in a company, one week at university), the participation of professionals in teaching, work on tutored projects in M1 and M2 (the subjects of which are given by professional partners). In addition, students wishing to go into research can take part in training modules at the UGA Graduate School (FuturProd thematic program on digital issues).

Graduates of the Master's program work as Data Analysts, Business Analysts, Data Scientists, Pricing Analysts, Economic and/or Statistical Researchers, in traditional or high-tech manufacturing or service companies, in data performance firms, or in independent administrative authorities.

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Published on June 1, 2017
Updated on November 14, 2025