Elem French I (in French) (FREN-UA 9001)

Open to students with no previous training in French. Not equivalent to FREN-UA 9010. Only by following FREN-UA9001 with FREN-UA9002 can a student complete the equivalent of FREN-UA9010 and then continue on to the intermediate level.

French (Undergraduate)
4 credits – 14 Weeks

Sections (Spring 2025)


FREN-UA 9001-000 (2023)
01/20/2025 – 04/29/2025 Mon,Wed
9:00 AM – 10:00 AM (Morning)
at NYU Paris (Global)
Instructed by Petit, Cecile


FREN-UA 9001-000 (2348)
01/20/2025 – 04/29/2025 Mon,Wed
11:00 AM – 12:00 AM (Morning)
at NYU Paris (Global)
Instructed by Uhrig, David


FREN-UA 9001-000 (2025)
01/20/2025 – 04/29/2025 Tue,Thu
9:00 AM – 10:00 AM (Morning)
at NYU Paris (Global)
Instructed by Uhrig, David


FREN-UA 9001-000 (2349)
01/20/2025 – 04/29/2025 Tue,Thu
11:00 AM – 12:00 AM (Morning)
at NYU Paris (Global)
Instructed by Hannane, Leslie


FREN-UA 9001-000 (2028)
01/20/2025 – 04/29/2025 Mon,Wed
1:00 PM – 3:00 PM (Early afternoon)
at NYU Paris (Global)
Instructed by Scattolin, Lea


FREN-UA 9001-000 (2350)
01/20/2025 – 04/29/2025 Tue,Thu
1:00 PM – 3:00 PM (Early afternoon)
at NYU Paris (Global)
Instructed by Reychman, Pauline


FREN-UA 9001-000 (2031)
01/20/2025 – 04/29/2025 Mon,Wed
3:00 PM – 5:00 PM (Late afternoon)
at NYU Paris (Global)
Instructed by Reychman, Pauline


FREN-UA 9001-000 (2351)
01/20/2025 – 04/29/2025 Tue,Thu
3:00 PM – 5:00 PM (Late afternoon)
at NYU Paris (Global)
Instructed by Reychman, Pauline


FREN-UA 9001-000 (2034)
01/20/2025 – 04/29/2025 Mon,Wed
11:00 AM – 12:00 AM (Morning)
at NYU Paris (Global)
Instructed by Montel, Elodie


FREN-UA 9001-000 (2352)
01/20/2025 – 04/29/2025 Tue,Thu
1:00 PM – 3:00 PM (Early afternoon)
at NYU Paris (Global)
Instructed by Scattolin, Lea


FREN-UA 9001-000 (23548)
01/20/2025 – 04/29/2025 Mon,Wed
3:00 PM – 5:00 PM (Late afternoon)
at NYU Paris (Global)
Instructed by Scattolin, Lea

Principles of Data Science I (DS-UA 9111)

Credits: 4
Duration: 14 Weeks
Dates: Mon,Wed
Credits: 4
Duration: 14 Weeks
Dates: Mon,Wed

Data Science for Everyone is a foundational course that prepares students to participate in the data-driven world that we are all experiencing. It develops programming skills in Python so that students can write programs to summarize and compare real-world datasets. Building on these data analysis skills, students will learn how to draw conclusions and make predictions about the data. Students will also explore related ethical, legal, and privacy issues.

Data Science (Undergraduate)
4 credits – 14 Weeks

Cultures & Contexts: Multicultural France (CORE-UA 9547)

Credits: 4
Duration: 14 Weeks
Dates: Tue

With an important history of immigration, France has long been a site of cultural contact and exchange. This course considers the country’s multicultural make-up and the ideologies, institutions, conflicts, and paradoxes that shape how that diversity has taken form through time. Conflicts and controversies of the past 40 years, which include the rise of the extreme right, the problem of the disadvantaged suburbs, the question of Islamic headscarves, and more, have in particular pushed these questions to the front of the country’s domestic agenda. Looking historically and across several case studies, we ask as well as what the French example can add to our understanding of culture, diversity, and race. Conducted in English.

College Core Curriculum (Undergraduate)
4 credits – 14 Weeks