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Mar 03, 2025
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2025-2026 Undergraduate Catalog
Data Science Analytics, BS and Data Analytics, MS Combined Degree
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Bachelor of Science/Master of Science • DSAN BS/MS
This program provides students the opportunity to earn a BS degree in Data Science and Analytics and an MS degree in Data Analytics in a five-year period. Students in this program will take graduate courses which will satisfy undergraduate content and credit hour requirements. Four graduate courses in the graduate Data Analytics program will enhance the undergraduate degree with higher-level learning. Upon completion, a student will have 120 credits required for the BS degree, and will have earned 12 graduate credits toward their MS degree. Students can complete their MS degree in Data Analytics by completing an additional 18 graduate credits.
Admissions requirements:
- Apply for secondary admission after 30 credits (sophomore status)
- Must have completed DATA 275 with B minimum grade
- Cumulative 2.75 GPA
Student may submit a graduation application to award the BS degree after completion of all undergraduate credits and MS Data Analytics core courses: DATA 610, DATA 625, DATA 667, DATA 710 (120 credits).
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Learning Outcomes
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Create and use data to make context-based decisions and recommendations for business. -
Collect, organize, store, and manipulate data in relational databases. -
Apply artificial intelligence techniques in data analytics. -
Build and interpret statistical and classification models. -
Use programming languages to extract, transform, manipulate, and analyze data. -
Utilize ethical, non-biased strategies in data collection, analysis, and reporting. -
Develop visual displays of data. -
Design and deploy a cloud-based data warehouse. -
Use applied data mining and classification techniques to build and manage customer relationship management (CRM) systems. -
Build and analyze predictive statistical models. Foundations of Excellence - 37 Credits
Foundations of Math and Statistics - 14 Credits
Foundations of Business - 6 Credits
Foundations of Computer Science - 15 Credits
Open Electives - 15 Credits
Graduate Courses
For 600-700 level course descriptions, please see the Graduate Catalog or search for them on the University website, www.davenport.edu Core Courses - 12 Credits
- DATA 610 Essentials of Business Analytics 3 Credits
- DATA 625 Data Mining 3 Credits
- DATA 667 Data Visualization and Communication 3 Credits
- DATA 710 Advanced R Programming 3 Credits
Advanced Courses - 15 Credits
- DATA728 Advanced Data Mining 3 Credits
- DATA747 Python for Data Analytics 3 Credits
- DATA758 Cloud Computing for Data Warehousing and Analytics 3 Credits
- DATA772 Statistical Analysis for Data Analytics 3 Credits
- DATA785 Predictive Modeling 3 Credits
Capstone Project - 3 Credits
- DATA 792 Data Analytics Capstone 3 Credits
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