Post-Baccalaureate Certificate in Machine Learning for Data Science

Certificate Level: Graduate
Admission Requirements: Bachelor's degree
Certificate Type: Post-Baccalaureate
Number of Credits to Completion: 12.0
Instructional Delivery: Online, Campus
Calendar Type: Quarter
Expected Time to Completion: 1 year
Financial Aid Eligibility: Not aid eligible
Classification of Instructional Program (CIP) Code: 30.7001
Standard Occupational Classification (SOC) Code: 15-1132

About the Program

The Machine Learning for Data Science certificate program provides students with knowledge of advanced approaches to data analysis. Courses in this certificate equip students with an understanding of theoretical foundations as well as practical techniques associated with machine learning and related topics like recommender systems, deep learning, and natural language processing.

Admission Requirements

The post-baccalaureate certificate in Machine Learning for Data Science accepts applicants who hold bachelor's degrees from an accredited university and offers them an opportunity to learn a variety of foundational and applied data science topics. Please visit the College of Computing & Informatics website to learn more about admission requirements.

Additional Information

For more information about this program, please visit the College of Computing & Informatics website.

Program Requirements

Required Core Courses
DSCI 631Applied Machine Learning for Data Science3.0
DSCI 641Recommender Systems for Data Science3.0
Elective Courses6.0
Choose 2 courses from the following:
Programming Foundations
Introduction to Programming
Data Structures and Algorithms
Introduction to Computer Vision
Machine Learning
Applications of Machine Learning
Deep Learning
Quantitative Foundations of Data Science
Data Analysis and Interpretation
Natural Language Processing with Deep Learning
Social Network Analytics
Total Credits12.0

Sample Plan of Study

First Year
DSCI 6313.0DSCI 6413.0
 6 6
Total Credits 12
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