Statistics
Evolving curriculum
Data is at the heart of business decisions, that’s why our curriculum is designed to help students understand that it starts with the data.
Learn
Build skills in data analytics, data visualization and storytelling, and entry level project management.
Experience
Hands-on learning helps you gain real world experience with internships and work-based learning opportunities.
Certification prep
Courses will prepare you for industry certification exams, giving you a competitive edge in the job market.
Let's map out your next move together.
About the Information Technology – Data Analysis program
Data is the language of modern business—and data analysts are the people who turn it into decisions. In this program you’ll learn to collect, clean, analyze, and visualize data using today’s essential tools: Python, databases, spreadsheets, statistics, and analytics platforms.
What you'll learn
The Data Analysis track deepens your statistical and programming skills spreadsheet analysis, data-science programming, SAS, and data warehousing and mining so you can dig into large datasets and surface the patterns that drive smart decisions. The Data Visualization track teaches you to transform complex data into clear, compelling dashboards and visuals using modern analytics and visualization tools plus SAS and data warehousing—so decision-makers can instantly see the story in the numbers. The Google IT Project Management & Analytics track pairs your degree with in-demand Google Project Management and Google Data Analytics coursework so you graduate ready to lead data projects and deliver insights from day one.
Frequently asked questions
Employers value people who can both manage projects and analyze the data behind them. The U.S. Bureau of Labor Statistics projects data, analytics, and project management roles to grow much faster than average through the decade, with strong demand across every industry. Your degree can open doors to roles like Data Analyst, Project Coordinator, Project Management Associate, Analytics Associate, and Business Intelligence Analyst.
Accreditation information