Business Analytics and Data Science Principles (Post-Bacc Certificate) | Washington D.C. & Maryland Area

Coming Fall 2025

Overview

In the digital age, data is transforming how businesses operate and make decisions. The Post-Baccalaureate Certificate in Business Analytics and Data Science Principles prepares students to structure, transform, and analyze data to gain insights that provide opportunities to improve business intelligence, managerial decision-making, and performance optimization.

This certificate is designed to meet the needs of government, industry, and non-profits in evaluating the statistical data generated by their computing infrastructure on an ongoing basis. Whether you're looking to transition into a data-driven role or to enhance your current skill set, this program provides a path to mastering the critical tools and techniques of the industry.

Program Focus

The Post-Baccalaureate Certificate in Business Analytics and Data Science Principles offers a balanced mix of theoretical and applied learning. The curriculum focuses on building a solid foundation in data science principles, statistical analysis, and machine learning, while also emphasizing practical business applications. You will learn to use the latest tools and techniques to manage, analyze, and visualize data effectively in a business context, ensuring you can contribute to informed decision-making and business strategy development. This certificate program covers topics in data collection, cleaning, and preparation; statistical analysis and business intelligence; predictive analytics and machine learning; data visualization and reporting; and communicating insights to both technical and non-technical stakeholders.

Key Features

Comprehensive Curriculum: Develop expertise in key areas of data analytics and data science, from foundational statistics to machine learning algorithms.
Hands-on Learning: Gain practical experience through projects and assignments designed to solve real-world business problems using industry-standard tools like Python, R, SQL, and Tableau.
Online Delivery Format: Our online learning format allows you to pursue career advancement education with the flexibility needed to balance your studies and career.
Preparation for a Master's Degree: This micro-credential can also fulfill 40% of the required courses for a Technical Master of Business Administration (TMBA) or a Master of Science in Cyber Analytics.

Who Should Apply

This program is ideal for individuals who hold a bachelor’s degree in STEM, business, finance, IT, marketing, management, and more, who want to integrate data-driven decision-making into their work and/or are looking to gain foundational knowledge in this area to pivot into a relevant advanced career.

Why Capitol?

Supportive Learning Environment

Benefit from expert faculty, networking opportunities, industry partnerships, and access to university resources to help you succeed in your education and career.

Degree Details

Post-Baccalaureate Certificate in Business Analytics and Data Science Principles Courses (12 Credits):

DS 510 - Analytics and Decision Analysis (3 Credits) Prerequisite: (Recommended) Undergraduate Statistics

DS 515 - Applied Statistics and Visualization for Analytics (3 Credits) Prerequisite: DS 510

DS 520 - Big Data Warehousing and Analytic Systems (3 Credits) Prerequisite: DS 510

DS 540 - Web Analytics (3 Credits) Prerequisite: DS 510

Please check with an Academic Advisor to confirm certificate requirements.
Educational Objectives:

Students will learn...
1. To integrate business and analytical decision-making skills in a technologically complex business environment.
1. To evaluate the statistical data generated by their computing infrastructure to determine the state of the organization’s security posture on an ongoing basis.
Learning Outcomes:

Upon completion of the program, graduates will be able to:
1. Create and integrate effective strategies to acquire, store, analyze, and deploy data solutions, ensuring accessibility and accuracy of information for decision-making.
1. Develop data-driven strategies that enhance decision-making by designing and applying analytical models to extract, visualize, and leverage actionable intelligence for organizational impact.