Data Analytics
Application Deadline
- Spring: Dec. 2
- Summer: March 31 (early sessions)
- Fall: July 21
Class Begins
- Spring: Jan. 9
- Summer: May 8 (early sessions)
- Fall: Aug. 21
Degree Awarded
Bachelor of Science
in Data Analytics
WSU College
College of Arts and Sciences and Voiland College of Engineering and Architecture
Follow the Data. Build the Future.
Do you have a knack for numbers, statistics and data? Do you want to thrive in a cutting-edge field with a future full of career opportunities? The brave new world of data analytics might be just what you are looking for.
To be successful in this program, strong math skills and an interest in math and statistics are necessary.
What is Data Analytics?
Data analytics tools and techniques are used by a wide variety of industries to analyze vast datasets, extract information, develop predictive models, and make better decisions. In recent years, there has been an explosion in demand for skilled data analysts, with starting salaries in six figures for some application areas.
What You’ll Learn
WSU’s Bachelor of Science in Data Analytics, available 100% online, prepares students for careers in the emerging, high-demand field of big data. You will learn the tools and techniques to collect, manage, explore and analyze large, complex datasets. You will also gain the skills to effectively communicate your findings to help companies in a wide range of industries make better business decisions. The interdisciplinary curriculum includes courses in data analytics, computer science, statistics, math and communication. The skills you will learn are highly transferable and graduates can use their knowledge to bring value to a wide spectrum of industries.
WSU Online Data Analytics Degree Strengths
- WSU is one of a handful of universities in the U.S. to offer an online undergraduate degree specifically designed to prepare students for leadership in data analytics.
- Core data skills acquired in the degree enable you to work as a data analyst in diverse employment sectors, including manufacturing, e-commerce, transportation, retail, health care, government, insurance, finance, education, environmental management, and more.
- You will have extensive “hands-on” opportunities to work with real industry datasets that will prepare you for well-paid job opportunities.
- Learn from renowned and experienced faculty members from WSU’s College of Arts and Sciences and Voiland College of Engineering and Architecture.
Program of Study
Courses are available online
Curriculum changes expected beginning the 2023-2024 academic year. Check back here for updates.
All WSU undergraduates must complete a minimum of 120 semester credits of which 40 credits must be at the 300 – 400 level. This includes completing either a concentration or minor. Students must also complete the University Common Requirements (UCORE). These can generally be satisfied with a direct transfer degree. For a list of direct-transfer agreements, visit WSU’s Transferring an Associate Degree web page.
To be admitted to the major students must complete at least 24 credits with a 2.0 or better.
Students should work closely with their academic advisor to complete prerequisite courses to move efficiently through the program.
- DATA 115 – Introduction to Data Analytics
- MATH 171 [QUAN] – Calculus I
- MATH/DATA 225 – Linear Algebra with Modern Applications
- CPT_S 131 – Program Design and Development Java
- CPT_S 132 OR 122 OR DATA 219 – Data Structures
- CPT_S 215 or DATA 219 – Data Analytics Systems and Algorithms
Note: Students who have taken CPT_S 121 and CPT_S 122 either on another WSU campus or via transfer may substitute those courses for CPT_S 131 and CPT_S 132 (CPT_S 121 and CPT_S 122 are not available online through WSU Global Campus).
- CPT_S 415 – Big Data
- CPT_S 451 – Introduction to Database Systems
- DATA 319: Model & Data-based Methods for DA
- DATA 424 [CAPS] [M] – Data Analytics Capstone
- DATA 498 – Data Analytics Internship
- PHIL 450 [HUM] – Data Analytics Ethics
- STAT 360 – Probability and Statistics
- STAT 435 [M] – Statistical Modeling for Data Analytics
- STAT 437 – High Dimensional Data Learning and Visualization
Global Campus data analytics students have the option to complete an existing formal minor (Note: Students may not choose the Mathematics, Statistics, or Computer Science minors) or the Business concentration, described below. In consultation with their advisor, students are encouraged to select a minor or concentration that best meets their career objectives. Course work, including the minor or concentration, needs to meet University requirements of 120 credits and 40 upper-division credits.
Business Concentration
Required Courses (30 credits)
- ECONS 101 [SSCI] – Fundamentals of Microeconomics
- ECONS 311 [M] – Introductory Economics
- ACCTG 230 – Introduction to Financial Accounting
- MIS 250 – Managing Information Technology
- MIS 372 [M] – Data Management
- Choose one pair from: MIS 325 – Enterprise Business Development & MIS 420 – Business Intelligence OR MKTG 360 – Marketing & MKTG 368 – Marketing Research
Please review the online WSU Catalog for additional information about specific degree requirements.