Data Analytics, 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.
|ENGL 201||COLLEGE COMPOSITION: ANALYSIS, RESEARCH AND DOCUMENTATION||5|
|MATH/HONS 161||CALCULUS I (recommended)||5|
|or MATH 142||PRECALCULUS MATH II|
|MISC 311||INFORMATION TECHNOLOGY IN BUSINESS||4-5|
|or CSCD 210||PROGRAMMING PRINCIPLES I|
|or CSCD 211||PROGRAMMING PRINCIPLES II|
|DSCI 245||BUSINESS STATISTICS 1||4|
|DSCI 346||BUSINESS STATISTICS 2||4|
|DSCI 352||MIXED RESEARCH METHODS, SECURITY AND ETHICS FOR ANALYTICS||4|
|DSCI 353||DATA MANAGEMENT, CLEANING AND IMPUTATION||4|
|DSCI 445||OPTIMIZATION VIA MANAGEMENT SCIENCE||4|
|DSCI 449||MULTIVARIATE DATA ANALYSIS||4|
|DSCI 450||DATA VISUALIZATION||4|
|MISC 373||BUSINESS DATABASE APPLICATIONS||4|
|MISC 374||SPREADSHEET MODELING FOR BUSINESS APPLICATIONS||4|
|MISC 485||ADVANCED DATABASE APPLICATIONS DEVELOPMENT||4|
|Electives–choose at least three from the following or see the department advisor for a list of approved electives||12|
|RANDOMIZED ALGORITHMS AND PROBABILISTIC ANALYSIS|
|DESIGN OF EXPERIMENTS|
|BUSINESS APPLICATIONS PROGRAM DESIGN|
|DATA COMMUNICATION AND NETWORK FUNDAMENTALS|
|INFORMATION SECURITY MANAGEMENT|
or DSCI 498
|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 481||ML-DATA SCIENCE FUNDAMENTALS||4|
|DSCI 483||ML-APPLIED DATA SCIENCE||4|
|Required Senior Capstone|
|DSCI 490||ANALYTICS SENIOR CAPSTONE||4|
University Competencies and Proficiencies
- Minimum Credits—180 cumulative credit hours
- 60 upper-division credits (300 level or above)
- 45 credits in residence (attendance) at Eastern, with at least 15 upper-division credits in major in residence at Eastern
- Minimum Cumulative GPA ≥2.0
All admitted students must officially Declare a Major by the time they reach 90 credits (junior standing).
Application for Graduation (use EagleNET) must be made at least two terms in advance of the term you expect to graduate (undergraduate and post-baccalaureate).
Use the Catalog Archives to determine two important catalog years.
SOAR calculates based on these two catalog years.
- The catalog in effect at the student's first term of current matriculation is used to determine BACR (Breadth Area Credit Requirements) and UGR (Undergraduate Graduation Requirements).
- The catalog in effect at the time the student declares a major or minor is used to determine the program requirements.
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.