Program Overview

MASTER INFORMATIQUE PARCOURS DONNÉES, APPRENTISSAGE, CONNAISSANCES (DAC)

Overview

The MASTER INFORMATIQUE PARCOURS DONNÉES, APPRENTISSAGE, CONNAISSANCES (DAC) is a master's program offered by Sorbonne Université. The program focuses on data science, artificial intelligence, and related technologies.

Objectives

The program aims to provide students with the knowledge and skills necessary to become experts in data science, with a strong foundation in computer science and statistics. The objectives of the program include:

• Mastering the challenges, issues, and context of large-scale information processing
• Understanding the basics of artificial intelligence
• Learning symbolic and numerical technologies for machine learning from data
• Mastering the basics of information retrieval
• Understanding the components of an operational data mining tool
• Knowing the functioning of search engines, text, image, speech, video

Competences

Upon completion of the program, graduates will be able to:

• Master the challenges, issues, and context of large-scale information processing
• Understand the basics of artificial intelligence
• Apply symbolic and numerical technologies for machine learning from data
• Master the basics of information retrieval
• Understand the components of an operational data mining tool
• Know the functioning of search engines, text, image, speech, video
• Implement and innovate in the design of:
  • Systems for managing, collecting, and analyzing large-scale data
  • Data mining tools, information retrieval, technological watch
  • Machine learning algorithms and pattern recognition

Public and Prerequisites

The program is designed for students with a strong background in computer science or related fields. The prerequisites include:

• A bachelor's degree in computer science or a related field
• Solid knowledge in computer science (algorithms, programming, databases, logic)
• Fundamental notions in mathematics (probability, statistics)

Program

The program consists of 1200 hours of coursework, spread over 4 semesters. The curriculum includes:

• Courses in computer science, artificial intelligence, and data science
• Practical work and projects
• A final thesis or project

Methods and Evaluation

The program uses a combination of teaching methods, including:

• Lectures
• Tutorials
• Practical work
• Projects The evaluation methods include:
• Exams
• Continuous assessment

Career Opportunities

The program prepares students for careers in data science, artificial intelligence, and related fields. The career opportunities include:

• Data scientist
• Data engineer
• Data analyst
• Business intelligence analyst
• IT consultant
• Researcher

Tuition Fees

The tuition fees for the program are 14,000 euros.

Location

The program is offered at the Campus Pierre et Marie Curie Paris (Jussieu).

Language

The program is taught in French.

Duration

The program lasts 4 semesters (2 years).

Accreditation

The program is accredited by the French Ministry of Higher Education and Research.

Research Areas

The program is related to the following research areas:

• Data science
• Artificial intelligence
• Machine learning
• Data mining
• Information retrieval

Faculty

The program is taught by faculty members from Sorbonne Université, who are experts in their fields.

Campus

The program is offered at the Campus Pierre et Marie Curie Paris (Jussieu), which is located in the heart of Paris.

Student Life

The program offers a rich student life, with opportunities to participate in research projects, internships, and cultural activities.

Admission

The admission to the program is based on a selection process, which includes:

• A review of the applicant's academic record
• A motivation letter
• A letter of recommendation

Scholarship

The program offers scholarships to eligible students, based on their academic merit and financial need.

International Students

The program is open to international students, who can apply through the same selection process as French students.

Contact

For more information about the program, please contact the admissions office of Sorbonne Université.