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DSCI7000

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Capstone

MathematicsNC - College of Natural/Comp Sci

Subject code

DSCI

Subject Code Description

Data Science

Course Number

7000

Catalog Title

Capstone

Course Description

This capstone course provides the culminating experience for students in the Master of Science in Data Science and Master of Science in Artificial Intelligence program. Soft skills such as effective communication are indispensable, and therefore teamwork is strongly recommended over individual projects. Students will conceptualize, propose, and execute an end-to-end data science project using real-world big data. The project will integrate skills and concepts learned throughout the program, including statistical analysis, machine learning, and communication of results. Under instructor’s guidance, students will identify a problem amenable to data science techniques, acquire appropriate datasets, perform exploratory data analysis, implement data cleaning, and feature engineering pipelines, train machine learning models, and measure model performance. The final project must be approved by a committee consisting of at least two of the MSDS faculty. Students are encouraged to submit the product to a data science conference or a peer-reviewed journal.

Credit Hours Min

3

Simple Requirements

Prerequisite

Prerequisite: Permission of instructor.

Restricted to the following degree(s)

MSDSCI - Master of Science in Data Science

Restricted to the following major(s)

MSDS - Data Science

Restricted to the following student level(s)

GR - Graduate

Repeat Status

N - Course May Not Be Repeated