Post-Baccalaureate Data Science Certificate

Data is the main driver of business decision-making in today’s world. Earn a data science certificate in nine months, and advance your career with in-demand data analysis skills.

Data science is one of the most promising career paths for skilled professionals; Glassdoor named it one of the best jobs in 2022. Data science has critical applications across most industries and data scientists are needed in almost every job sector including technology, finance, education and healthcare.

Earn Your Data Science Post-Baccalaureate Certificate Online or In-Person

At Pacific University, the data science post-bacc program prepares you for a data science career with hands-on coursework and expert faculty. All classes in the data science post-baccalaureate program are offered in a flexible format with courses offered synchronously in-person and online.

Why Study Data Science at Pacific University?

The post-baccalaureate data science certificate program at Pacific University has been intentionally designed for working professionals to learn data analysis skills to kickstart a career in this rapidly-growing field. As a Pacific University data science post-bacc student, you will:

• Develop a deep understanding and practical knowledge of machine learning, data mining, statistical learning and data visualization.
• Complete four courses designed to build industry-relevant data analysis skills.
• Earn a post-baccalaureate data science certificate in nine months over two semesters.
• Choose from two tracks: machine learning or statistical learning, which are offered in rotation every other year. The machine learning classes start in the fall semester of even-numbered years, and the statistical learning classes start in the fall semester of odd-numbered years.
• Take courses in a flexible hybrid format that works for you. Data science post-bacc students can choose to take classes in person on the Forest Grove campus, or can choose from a flexible hybrid format of in-person, online, and pre-recorded courses, as well as virtual meetings with professors.
• Learn from experienced data science faculty who are active researchers.
• Work in small classes that allow you to receive individualized support.
• Build a professional portfolio of completed projects involving real-world data tailored to your career interest and goals.
• Gain experience with key software applications, including R and Python.

To learn more about the program, contact Evgenia Chunikhina, Assistant Professor of Data Science.