Bachelor of Science in Data Analytics at Washington State University

Cost: Not available

Washington State University, USA

Type: Undergraduate Duration: 4.0 years

Explore the Bachelor of Science in Data Analytics program at Washington State University. This program is offered in USA and provides an excellent learning opportunity in Undergraduate studies.

The Bachelor of Science in Data Analytics at Washington State University is a fully online program designed to equip students with essential skills in data analysis, statistics, and computer science. This degree prepares graduates for high-demand careers in various sectors, including healthcare, finance, and e-commerce. The curriculum includes core courses such as Introduction to Data Analytics, SQL, and a Capstone project, alongside elective options that allow for specialization. Students will engage with real industry datasets, enhancing their practical experience and employability. The program requires a total of 120 credits, with a minimum of 40 credits at the upper division level. Strong mathematical skills and a keen interest in data are crucial for success in this field, which is characterized by rapid growth and lucrative job opportunities.

University
Washington State University
University Location
USA (Online)
Program Duration
4.0 years
Ranking
#469
Part-time allowed
Yes

Required Courses
  • DATA 115 – Introduction to Data Analytics
  • MATH 171 – Calculus I
  • MATH/DATA 225 – Linear Algebra with Modern Applications
  • CPT_S 131 – Program Design and Development Java
  • CPT_S 215 or DATA 219 – Data Analytics Systems and Algorithms
  • DATA 303 – Intro to SQL
  • DATA 319 – Model & Data-based Methods for DA
  • DATA 324 – Data Repository Systems for Data Analytics
  • DATA 422 – Corporate Data
  • DATA 424 – Data Analytics Capstone
  • DATA 498 – Data Analytics Internship
  • PHIL 450 – Data Analytics Ethics
  • STAT 360 – Probability and Statistics
  • STAT 435 – Statistical Modeling for Data Analytics
  • STAT 437 – High Dimensional Data Learning and Visualization
Elective Courses
  • ECONS 101 – Fundamentals of Microeconomics
  • ECONS 311 – Introductory Economics
  • ACCTG 230 – Introduction to Financial Accounting
  • MIS 250 – Managing Information Technology
  • MIS 372 – Data Management
  • MIS 325 – Enterprise Business Development
  • MIS 420 – Business Intelligence
  • MKTG 360 – Marketing
  • MKTG 368 – Marketing Research