Bachelor of Science in Data Analytics

About

The Bachelor of Science in Data Analytics will prepare you to work in diverse fields such as science, education, medicine, government and business. In the Data Analytics program, you’ll study how data is collected and analyzed to make decisions by applying descriptive, predictive and prescriptive models. You’ll learn how to think critically, communicate effectively and use different technical, analytic and modeling skills. Graduates of this program will have strong technical and quantitative abilities to enter the emerging field of data analytics or to continue with graduate studies.

Learning Outcomes

Curriculum & Requirements

Learning Outcomes

Students who successfully earn a BS in Data Analytics from EWU should be able to do the following:

  • analyze a variety of data types, including both structured data and unstructured data;
  • build mathematical models to assist decision-making processes;
  • discuss ethical issues related to data analytics;
  • interpret analytic information visually to relevant audiences;
  • make critical decisions to engineer data management.

Curriculum & Requirements

Data Analytics Major, Bachelor of Science (BS)

The development of large-scale data collection in recent years has resulted in a growing gap in the work force as employers struggle to find those with the broad skillset needed to navigate in this environment while developing the narrative of meaning that underlies the data. The Bachelor of Science in Data Analytics concentrates at the undergraduate level on equipping graduates with the hybridization of programming, information systems, applied statistics, management science, data analysis and decision support skills needed by employers.

Majoring or minoring in an additional discipline is suggested as data science and analytics is used in many fields, such as science, education, medicine, government and business.

Prerequisite Courses
ENGL 201COLLEGE COMPOSITION: ANALYSIS, RESEARCH AND DOCUMENTATION5
MATH/HONS 161CALCULUS I (recommended)5
or MATH 142 PRECALCULUS MATH II
MISC 311INFORMATION TECHNOLOGY IN BUSINESS4-5
or CSCD 210 PROGRAMMING PRINCIPLES I
or CSCD 211 PROGRAMMING PRINCIPLES II
Required Courses
DSCI 245BUSINESS STATISTICS 14
DSCI 346BUSINESS STATISTICS 24
DSCI 352MIXED RESEARCH METHODS, SECURITY AND ETHICS FOR ANALYTICS4
DSCI 353DATA MANAGEMENT, CLEANING AND IMPUTATION4
DSCI 445OPTIMIZATION VIA MANAGEMENT SCIENCE4
DSCI 449MULTIVARIATE DATA ANALYSIS4
DSCI 450DATA VISUALIZATION4
MISC 373BUSINESS DATABASE APPLICATIONS4
MISC 374SPREADSHEET MODELING FOR BUSINESS APPLICATIONS4
MISC 485ADVANCED DATABASE APPLICATIONS DEVELOPMENT4
Electives–choose at least three from the following or see the department advisor for a list of approved electives12
DATA STRUCTURES
ALGORITHMS
RANDOMIZED ALGORITHMS AND PROBABILISTIC ANALYSIS
BUSINESS FORECASTING
DESIGN OF EXPERIMENTS
BUSINESS SIMULATION
BUSINESS APPLICATIONS PROGRAM DESIGN
DATA COMMUNICATION AND NETWORK FUNDAMENTALS
INFORMATION SECURITY MANAGEMENT
DIGITAL ENTREPRENEURSHIP
SEMINAR
SEMINAR
Required Senior Cohort Sequence
Taken sequentially these hybrid classes are composed of online material from Microsoft Learn, Microsoft role-based certifications, community projects, supplemental material and weekly discussion sessions with the course instructor.
DSCI 481ML-DATA SCIENCE FUNDAMENTALS4
DSCI 483ML-APPLIED DATA SCIENCE4
Required Senior Capstone
DSCI 490ANALYTICS SENIOR CAPSTONE 4
Total Credits78-79

Catalog Listing

Enrollment Data

Undergraduate Business Students

830

BAB/BS Degrees Awarded in 2019-20

463

Students in the MBA Program

418

MBA Degrees Awarded in 2019-20

48

Full-Time Faculty Members

32