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.
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.
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 is one of only two research universities in the U.S. to offer an 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 and academic 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
All WSU undergraduates must complete a minimum of 120 semester credits of which 40 credits must be at the 300 – 400 level. 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.
Minimum semester credits required to graduate with a BS in Data Analytics: 120
- CPT_S/STAT 115 – Introduction to Data Analytics
- CPT_S 215 – Data Analytics Systems and Algorithms
- MATH 171 [QUAN] – Calculus I
- MATH 172 – Calculus II
- MATH 220 – Introductory Linear Algebra
- CPT_S 131 – Program Design and Development Java
- CPT_S 132 – Data Structures Java
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 315 – Introduction to Data Mining
- CPT_S 415 – Big Data
- CPT_S/STAT 424 [CAPS] [M] – Data Analytics Capstone
- CPT_S 451 – Introduction to Database Systems
- PHIL 450 – Data Analytics Ethics
- STAT 360 – Probability and Statistics
- STAT 380 [M] – Decision Making and Statistics
- STAT 419 – Intro to Multivariate Statistics
- STAT 436 – Statistical Computing with SAS and R
Global Campus data analytics students have the option to complete an existing formal minor or the Business Track concentration, described below. In consultation with their advisor, students are encouraged to select a minor or specialization 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.
Required Courses (30 credits)
- ECONS 101 [SSCI] – Fundamentals of Microeconomics
- One of the following
- COM 102 [COMM] – Public Speaking in the Digital Age
- H_D 205 [COMM] – Developing Effective Communication and Life Skills
- ACCTG 230 – Introduction to Financial Accounting
- MIS 250 – Managing Information Technology
- MIS 322 [M] – Enterprise Business Process Analysis
- MIS 325 – Enterprise Business Development
- MIS 372 [M] – Data Management
- MIS 420 – Business Intelligence
- MGMT 301 – Principles of Management and Organization
- STAT 435 [M] – Statistical Modeling for Data Analytics
Please review the online WSU Catalog for additional information about specific degree requirements.