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MSAI 339: Data Science

Northwestern University
Evanston , United States
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Program Details
Degree
Masters
Major
Artificial Intelligence | Data Analysis | Data Science
Area of study
Information and Communication Technologies
Course Language
English
About Program

Program Overview

Master of Science in Artificial Intelligence

The Master of Science in Artificial Intelligence program is designed to provide students with a comprehensive understanding of the field of artificial intelligence.


Overview

The program overview provides a general introduction to the Master of Science in Artificial Intelligence program, including its goals, objectives, and outcomes.


Program Frequently Asked Questions

The program frequently asked questions section provides answers to common questions about the program, including admission requirements, curriculum, and career opportunities.


Student Body Profile

The student body profile section provides information about the demographics and characteristics of the students enrolled in the program.


Careers

The careers section provides information about the career opportunities available to graduates of the program, including:


  • Careers in AI
  • Healthcare
  • Retail
  • Transportation
  • Legal Services
  • Financial Services
  • Tech
  • Research
  • Consulting
  • Social Media

Curriculum

The curriculum section provides a detailed overview of the program's curriculum, including:


  • Curriculum Overview
  • MSAI (Traditional)
  • MSAI+X
  • Course Offerings

MSAI 339: Data Science

The MSAI 339: Data Science course is a core course in the program that covers the end-to-end process of building AI-based software from data acquisition through deployment and monitoring.


Prerequisites

The prerequisites for the course include:


  • Core MSAI course

Description

The course description provides an overview of the course, including its goals, objectives, and outcomes.


  • Acquiring and transforming data for machine learning
  • Scaling for massive datasets and models
  • Understanding and integrating the diverse array of tools
  • Monitoring the underlying data and models in production Students will build skills in manipulating, integrating, and analyzing data at scale. They will complete individual assignments to build their skills in using key data science tools and technologies: SQL, Spark, Pandas, etc. Each week, a group of students will present a state-of-the-art research paper to dive deep into the tools and technologies underlying each stage of the pipeline.

Admissions

The admissions section provides information about the admission requirements and process for the program, including:


  • Admissions Overview
  • Information Sessions
  • Tuition & Financial Aid
  • Admissions Frequently Asked Questions
  • Questions and Status Updates

People

The people section provides information about the faculty, staff, students, and alumni of the program, including:


  • Faculty and Staff
  • Students
    • Cohort
    • Cohort
  • Alumni
    • Class of 2023
    • Class of 2022
    • Class of 2021
    • Class of 2020
    • Class of 2019
    • Alumni

Inside Our Program

The inside our program section provides information about the program's stories, news, and events, including:


  • Stories
  • Notes on the News
  • Events
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