Post-Baccalaureate Certificate in Big Data Analytics
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: 15-1111
About the Program
The post-baccalaureate certificate in Big Data Analytics provides students with big data analytics skills, including cloud computing, distributed computing, and natural language processing, as well as the opportunity of practicing their skills in capstone projects.
Admission Requirements
The post-baccalaureate certificate in Big Data Analytics accepts applicants who hold bachelor's degrees from an accredited university. Please visit the College of Computing & Informatics website for more information on admission requirements.
Additional Information
For more information about this program, visit the College of Computing & Informatics website.
Program Requirements
Required Courses | ||
DSCI 632 | Applied Cloud Computing | 3.0 |
INFO 623 | Social Network Analytics | 3.0 |
Choose 2 of the electives below | 6.0 | |
Programming Foundations | ||
or CS 501 | Introduction to Programming | |
Data Structures and Algorithms | ||
High Performance Computing | ||
Deep Learning | ||
Distributed Systems Software | ||
Data Analysis at Scale | ||
Introduction to the Digital Environment | ||
Cloud Technology | ||
Cloud Security and Virtual Environments | ||
Quantitative Foundations of Data Science | ||
Data Analysis and Interpretation | ||
Natural Language Processing with Deep Learning | ||
Database Management Systems | ||
Applied Database Technologies | ||
Total Credits | 12.0 |
Sample Plan of Study
First Year | |||
---|---|---|---|
Fall | Credits | Winter | Credits |
DSCI 632 | 3.0 | INFO 623 | 3.0 |
Elective | 3.0 | Electives | 3.0 |
6 | 6 | ||
Total Credits 12 |