Students may be required to pass a YIEP English composition exam or take a Composition course or placement test before beginning the first course of the undergraduate degree program.

Please contact THE YIEP for further details. 

Sample Degree Course Requirements


BS in Data Science

About the Bachelor of Science in Data Science Degree Program

mployers around the world are inundated with massive amounts of data. They need skilled employees to provide insights from data for better decision-making and strategic business moves.

Essential skills for the data-driven world.

The Bellevue University 100% online Bachelor of Science in Data Science degree will prepare you for jobs in virtually any industry including banking, retail, healthcare, and manufacturing. Our online data science bachelor’s degree focuses on the Data Science processes and emphasizes the application of these skills for immediate use in any job. As an up and coming data scientist, you will build statistical and analytical expertise that could land a new job or advance in your current organization.

Plus, you’’ll graduate with a Data Science Portfolio, enabling employers to clearly see the depth and breadth of your experience analyzing data to solve problems. Your portfolio will show you are prepared with the latest skills and know-how to benefit their businesses.

Here are examples of what you’ll learn:

  • Problem solving and data wrangling using Python
  • Data visualization with exposure to R, Tableau and PowerBI
  • Data storytelling to be confident in front of executive leadership or any stakeholder group
  • Data analysis using statistical models, machine learning, and predictive analytics
  • Data management techniques using Python, SQL and other tools
  • Big Data storage and efficient processing with Hadoop, Spark, Data Warehousing and Deep Learning
  • Create robust analytic solutions that transform data into actionable insights

Program Outcomes

  • Apply the data science process to formulate questions about data and solve problems.
  • Transform, clean and prepare datasets for analysis.
  • Recommend analysis techniques to validate hypotheses.
  • Communicate a story about data to various audiences with visualizations and presentations.
  • Identify ethical considerations in dataset preparation and modeling

Major Requirements (36 Credit Hours)

(All courses are 3 credit hours)

(Click a course name below to view course details)

Kirkpatrick Signature Series Requirements (9 credit hours)

(In addition to the Major Requirements, all Bellevue University students must complete the Kirkpatrick Signature Series)

Students applying for professional license or certification should verify the University’s offerings meet the requirements with the professional organization.