Program Overview

Microprogramme de 1er cycle en analyse des mégadonnées en sciences humaines et sociales

The Microprogramme de 1er cycle en analyse des mégadonnées en sciences humaines et sociales is a program designed for individuals who have completed a bachelor's degree in social sciences and humanities and wish to acquire in-depth experience in research methods related to big data and data science.

Survol du programme

Ŕ propos

This microprogramme is specifically designed for individuals who have completed a bachelor's degree in social sciences and humanities and wish to acquire in-depth experience in research methods related to big data and data science. The program offers the opportunity to acquire programming knowledge to perform data mining, visualization, and automated data analysis. Students will develop their skills in applying and interpreting advanced statistical models.

The microprogramme also promotes learning the R programming language, which is increasingly used by the academic community and is becoming a new standard in the industry. R is a powerful and versatile statistical data analysis environment that is offered free of charge and is widely used by large companies such as Google, Facebook, and Twitter for data management, visualization, and analysis.

Cours et particularités

• 15 crédits
• Temps partiel
• Cours de jour
• Cours de soir

The essential courses provide a good foundation:

• FAS 1001: Introduction to big data in social sciences
• FAS 1002: Introduction to programming in social sciences
• FAS 3001: Advanced statistics in social sciences

The courses to discover:

• FAS 1003: Data visualization
• FAS 3002: Artificial intelligence and text data
• IFT 1015: Programming 1

Exigences d'admission

• Capacité d'accueil non limitée
• Cote de rendement collégiale (cote R) minimale : 20,000

Conditions dadmissibilité

To be eligible for this program, candidates must:

• Have completed 45 university credits at the undergraduate level
• Have taken an equivalent course in advanced quantitative research methods (e.g., POL 2809, PSY 3204, ECN 1260, CRI 3318, or SOL 2020)

Coűts et aide financičre

Soutien financier possible

The University of Montreal offers various forms of financial support, including:

• Bourses d'études au 1er cycle (Undergraduate scholarships)
• Bourse d'exemption UdeM (UdeM exemption scholarship)
• Bourse de mobilité (Mobility scholarship)

Perspectives d'avenir

This training can also serve as a gateway for those who wish to deepen their knowledge of research in computer science and statistics by pursuing graduate studies. Examples of jobs that graduates may pursue include:

• Data analyst
• Research agent
• Data journalist
• Public servant

These professionals are in high demand in various fields, including criminology, sociology, political science, linguistics, economics, psychology, anthropology, communication, library science, geography, and demography.