Through this program, students will acquire the scientific and technological skills towards a data scientist profile within a computer science degree. With case studies and an internship, they will also gain methodological and practical experience in conducting a high-level innovative process in the field of data science.

Objectives

Data science is a major scientific and technological area of computer sciences, founded on the fields of data analysis, machine learning, and databases. It leads to produce methods and technologies to enable data-driven progress in these social, scientific and economic activities.

Skills:

  • develop core scientific competencies, practical and methodological skills on data usage
  • understand how data science applies to industry and be aware of its social, economic and scientific impact
  • conduct a research or development project in the data analysis domain

Admission

Data science is an academic curricular of the Computer science Master's Degree. It is a two-year degree (M1 + M2) but only the second year (M2 Data science) is accessible at Polytech Nantes.

Prerequisites for enrolment

  • Applicants should hold a degree which validates at least 4-years in higher education (equivalent to Bac +4 in France), in the field of computer science.

Prerequisites training

For international students, the current program is a one-year program, where successful applicants enter directly the second year.

They are expected to have solid foundations in the following fields:

  • mathematics (statistics, probability, and optimization)
  • relational databases (theory and practice)
  • software development (e.g Python, R, C++, software engineering)
  • report writing

Program

Academic curricular in Data Science (program)

First semester (S9) - (30 ECTS)

  • Research methodology and case study
  • Conferences and invited courses
  • Data economics, law, and ethics
  • Data dependencies and data integration
  • Visual analytics
  • Pattern mining and social network analysis
  • Text and sequential pattern mining
  • Clustering analysis and indexing
  • Classification and representation learning
  • Probabilistic graphical models
  • Semantic knowledge representation

Second semester (S10) - (30 ECTS)

  • Internship - Master's thesis

Job opening

Business sector or job

The goal of this Master’s program is to train students towards a data scientist profile. The master’s environment should facilitate future involvement in Ph.D. positions in the field or an R&D data scientist position in a company.

Career opportunities

  • Data scientist
  • R & D engineer
  • Education and research

Location

Our international master is taught in English in Polytech Nantes (Chantrerie campus).

Program taught in:
English

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Last updated January 29, 2019
This course is Campus based
Start Date
Sept. 2019
Duration
1 year
Full-time
Price
7,500 EUR
Deadline
Mar. 20, 2019
Deadline for applications
By locations
By date
Start Date
Sept. 2019
End Date
Aug. 28, 2020
Application deadline
Mar. 20, 2019
Deadline for applications

Sept. 2019

Location
Application deadline
Mar. 20, 2019
Deadline for applications
End Date
Aug. 28, 2020