Data Analytics B.A.S./B.S.

The Data Analytics program prepares students to thrive in the constantly evolving field of working with big data. The field is interdisciplinary by nature and is built on a foundation of Mathematics, Computer Science, Information Systems and Data Analytics courses. This program emphasizes the applied practice of data analytics techniques for solving problems in the real world.

credits required for major

credits required for minor

Program Details

Learning Outcomes

  1. Use relevant technology for the analysis of large, complex, or messy data sets to design, implement, and evaluate analytics-based solutions.
  2. Use quantitative information in connection with the argument or purpose of the work, present it in an effective format, and explicate it with consistently high quality.
  3. Collect, analyze and assess evidence to reach informed conclusions and judgments.

Courses

Mathematics

  • MTH 231 Elements of Discrete Mathematics I Credits: 4
    or MTH 251 Calculus I Credits: 4
    or BA 240 Quantitative Business Methods Credits: 4
  • BA 243 Business Statistics Credits: 4
    or STAT 243Z Elementary Statistics I Credits: 4
  • MTH 244 Introduction to Probability and Statistics II Credits: 4
    or BA 367 Regression Analysis Credits: 3
    or BI 343 Analysis of Biological Data Credits: 4
  • MTH 308 Computational Linear Algebra Credits: 4 or BA 368 Introduction to Operations Research Credits: 3

Computer Science

  • CS 133 Introduction to Python Programming Credits: 4
  • CS 436 Dynamic Systems Simulation Credits: 4

Information Systems

  • IS 240 Information Management I Credits: 4
  • IS 301 Information Systems Automation Credits: 4
  • IS 340 Information Management II Credits: 4 or IS 345 Systems Analysis Credits: 4

Data Analytics

  • DATA 101 Foundations of Data Analytics Credits: 4
    or BA 131 Introduction to Business Computing Credits: 3
  • DATA 432 Introduction to Data Analytics Credits: 4
  • DATA 434 Data Visualization Credits: 4
  • DATA 436 Learning from Data Credits: 4
  • DATA 438 Analysis of Social and Economic Networks Credits: 4

Choose One Concentration

  • DA: Business Concentration
  • DA: Geographic Information Systems Concentration
  • DA: Politics and Governance Concentration
  • General Data Analytics Concentration

Courses

  • CS 161 Computer Science I Credits: 4
    or CS 133 Introduction to Python Programming Credits: 4
  • DATA 101 Foundations of Data Analytics Credits: 4
  • DATA 432 Introduction to Data Analytics Credits: 4
  • DATA 434 Data Visualization Credits: 4
  • MTH 244 Introduction to Probability and Statistics II Credits: 4
    or BA 367 Regression Analysis Credits: 3
  • STAT 243Z Elementary Statistics I Credits: 4
  • Elective Credits: 4

CHARLES ANDERSON

NTT Instructor/Assistant Professor, Computer Science Division
andersc@wou.edu

TED BEERS

Instructor, Computer Science Division
beerst@wou.edu

CHRIS BROOKS

Instructor, Computer Science Division
brooksc@wou.edu

MELISSA EDDINGS

Administrative Program Assistant, Computer Science Division
eddingsm@wou.edu

DON KRAUS

Senior Instructor and Advisor of Computer Science and Information Systems, Computer Science Division
krausd@wou.edu

BECKA MORGAN

Professor & Chair, Computer Science Division
morganb@wou.edu

SCOT MORSE

Professor, Computer Science, Computer Science Division
morses@wou.edu

MATTHEW NABITY

Professor, Computer Science Division
nabitym@wou.edu

ALLISON OMLID

NTT Instructor, Computer Science Division
omlida@wou.edu

THADDEUS SHANNON

IS Program Coordinator, Computer Science Division
shannont@wou.edu

This public directory does not include employees who have requested confidentiality. Please use the WOU internal directory to view all employees.

Where This Degree Can Take You

A data analytics degree can launch you into a rewarding career analyzing data to solve problems, from becoming a general data analyst or business analyst to specializing in a field like marketing or finance, or even diving deeper into data science or management roles.

Potential Careers

  • Data Analyst
  • Data Scientist
  • Business Intelligence Analyst
  • Marketing Analyst
  • Financial Analyst
  • Operations Analyst
  • Risk Analyst
  • Data Governance Analyst
  • Data Visualization Engineer

Potential Employers

  • Tech companies: Nike, Intel, Precision Castparts
  • Financial services: Banks, insurance companies, investment firms
  • Healthcare: Hospitals, clinics, health insurance companies
  • Retail: Nike, Portland Saturday Market (and other retailers)
  • Government: State and local agencies

Consider This Degree If You…

Enjoy working with numbers and solving puzzles

Have a strong foundation in math and statistics

Want to make a real-world impact

Contact Us

Office Hours – ITC 310B
M – F • 8:00 am – 12:00, 1:00 – 4:30 pm

woucs@wou.edu

Questions
Tracy Boyson
503-838-8480

Academic Advising
Dr. Becka Morgan
503-838-8964

Edward B. Wright Center for Computing Science is located on the third floor of the Instructional Technology Center Building. We invite you to schedule a visit to explore our intentionally designed, collaborative, student-centric spaces.

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