Program Overview

Data Science, Post-Baccalaureate Certificate (P.B.C.)

Overview

The Data Science, Post-Baccalaureate Certificate (P.B.C.) is a program designed to provide students with a comprehensive understanding of data science principles and practices.

Course Requirements

• Core Requirements:
  • DATA601: Probability and Statistics (3 credits)
  • DATA602: Principles of Data Science (3 credits)
  • DATA604: Data Representation and Modeling (3 credits)
• Electives (choose 3 credits from the following options):
  • DATA603: Principles of Machine Learning
  • DATA605: Big Data Systems
  • DATA606: Algorithms for Data Science
• Total Credits: 12

Program Details

The program is structured to provide a thorough foundation in data science, including probability and statistics, principles of data science, and data representation and modeling. Students also have the opportunity to choose from a range of electives to further specialize their knowledge and skills.

Credits and Duration

The program requires a total of 12 credits, which can be completed by taking the core requirements and one elective course.

Conclusion

The Data Science, Post-Baccalaureate Certificate (P.B.C.) offers a comprehensive and specialized education in data science, preparing students for careers in this rapidly growing field. With its focus on core principles and flexible elective options, this program is ideal for individuals seeking to enhance their knowledge and skills in data science.