# MGT 335 — Data Analysis & AI for Business (NDU)

> MGT 335 Data Analysis & AI for Business at Notre Dame University – Louaize. no student contributions yet.

Source: https://studiety.com/ndu/course/3372
Retrieved: 2026-09-18

## Facts

- Course code: MGT 335
- Title: Data Analysis & AI for Business
- University: Notre Dame University – Louaize (NDU)
- Subject: Management
- Faculty: Faculty of Architecture, Arts
- Credits: 3

## Catalogue description

This course equips students with course in management. Understanding of strategies pursued by contemporary organizations. Integration of concepts and skills previously learnt, utilizing readings, projects, simulations, and case studies. Emphasis on the strategic issues facing domestic and international firms. Prerequisite: Senior Standing. the knowledge and tools to harness artificial intelligence and data analysis in a business context. Students will explore how AI drives innovation, optimizes operations, and shapes strategic decision-making in organizations. Through practical applications and case studies, students will learn to leverage AI to address real-world business challenges and develop data-driven strategies. Prerequisite: MGT 201

## Quick answers

### What is MGT 335 at NDU?

MGT 335 Data Analysis & AI for Business is a 3-credit course at Notre Dame University – Louaize (NDU), in the Faculty of Architecture, Arts. This course equips students with course in management. Understanding of strategies pursued by contemporary organizations. Integration of concepts and skills previously learnt, utilizing readings, projects, simulations, and case studies.

### How many credits is MGT 335?

MGT 335 Data Analysis & AI for Business is worth 3 credits at NDU.

## See also

- [All Management courses at NDU](https://studiety.com/ndu/subject/management.md)
- [Every NDU subject](https://studiety.com/ndu/subjects.md)

---

From Studiety (https://studiety.com/), an independent, student-run course guide. Not affiliated with or endorsed by any university. Reviews are the opinions of individual students.
