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).

Foundations of Excellence - 37 Credits

ACES 100 - Achieving Career and Education Success 3 Credits
BITS 211 - Microcomputer Applications: Spreadsheet 3 Credits
COMM 120 - Presentation Techniques 3 Credits
ENGL 109 - Composition 3 Credits
ENGL 110 - Advanced Composition 3 Credits
ENGL 311 - Professional Writing 3 Credits
ECON 200 - Microeconomics 3 Credits
ECON 201 - Macroeconomics 3 Credits
MATH 120 - College Mathematics 3 Credits
MATH 150 - Pre-Calculus 4 Credits
SOSC 201 - Diversity in Society 3 Credits
STAT 220 - Introduction to Statistics 3 Credits

Foundations of Math and Statistics - 14 Credits

MATH 205 - Applied Linear Algebra 4 Credits
MATH 215 - Calculus I 4 Credits
MATH 250 - Discrete Structures 3 Credits
STAT 322 - Inferential Statistics 3 Credits

Foundations of Business - 6 Credits

MKTG 211 - Marketing Foundations 3 Credits
MKTG 412 - Marketing Research 3 Credits

Foundations of Computer Science - 15 Credits

CISP 253 - Python Scripting 3 Credits
CISP 309 - Database Systems 3 Credits
CISP 446 - Data Warehousing 3 Credits
CSCI 280 - Artificial Intelligence 3 Credits
CSCI 325 - Deep Learning 3 Credits

Major - 21 Credits

DATA 275 - Introduction to Data Analytics 3 Credits
DATA 288 - Introduction to R Programming 3 Credits
DATA 356 - Applied Regression Analysis 3 Credits
DATA 374 - Classification Models 3 Credits
DATA 490 - Data Science Internship 3 Credits
DATA 495 - Data Science Capstone 3 Credits
SPMG 370 - Sport Analytics 3 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

Academic Catalog