Post-Baccalaureate Certificate in Computational Data Science
Certificate Level: Graduate
Admission Requirements: Bachelor's degree
Certificate Type: Post-Baccalaureate
Number of Credits to Completion: 15.0
Instructional Delivery: Online; Campus
Calendar Type: Quarter
Expected Time to Completion: 1 year
Financial Aid Eligibility: Aid eligible*
Classification of Instructional Program (CIP) Code: 11.0701
Standard Occupational Classification (SOC) Code: 11-3021
*The current plan of study for this program would only allow for federal financial aid (including Federal Direct Student Loans) for terms that are at least a minimum of 4.5 credits for graduate courses and 6.0 credits for undergraduate courses. This is based on current regulations from the U.S. Department of Education.
About the Program
The Post-Baccalaureate Certificate in Computational Data Science accepts applicants who hold bachelor degrees in computer science or completed a Post-Baccalaureate Certificate in Computer Science Foundations, and offers them opportunities to learn the fundamentals of artificial intelligence and machine learning. The aim is to provide a strong foundation in this emerging area, with a focus on mathematical foundations, algorithms, and real-world applications.
Please visit the College of Computing & Informatics website to learn more about admission requirements.
|Required Core Courses
|Data Acquisition and Pre-Processing
|Data Analysis and Interpretation
|Choose 3 from the following:
|Fundamentals of Databases
|Introduction to Artificial Intelligence
|Introduction to Computer Vision
|Data Analysis at Scale
|Responsible Data Analysis
Sample Plan of Study
|Total Credits 15
For more information about this program, please visit the College of Computing & Informatics website.