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 Bachelors 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 161||CALCULUS I (recommended)||5|
|or MATH 142||PRECALCULUS MATH II|
|MISC 211||INFORMATION TECHNOLOGY IN BUSINESS||4-5|
|or CSCD 210||PROGRAMMING PRINCIPLES I|
|or CSCD 211||PROGRAMMING PRINCIPLES II|
|DSCI 245||DATA ANALYSIS FOR BUSINESS||4|
|DSCI 346||ADVANCED DATA ANALYSIS FOR BUSINESS||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 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||12|
|RANDOMIZED ALGORITHMS AND PROBABILISTIC ANALYSIS|
|DESIGN OF EXPERIMENTS|
|MULTIVARIATE DATA ANALYSIS|
|BUSINESS APPLICATIONS PROGRAM DESIGN|
|DATA COMMUNICATION AND NETWORK FUNDAMENTALS|
|INFORMATION SECURITY MANAGEMENT|
|E-COMMERCE AND E-COMMERCE SYSTEM DESIGN|
or DSCI 498
|Required Courses in the Senior Cohort Sequence|
|DSCI 481||MPP–DATA SCIENCE FUNDAMENTALS||4|
|DSCI 482||MPP–CORE DATA SCIENCE||4|
|DSCI 483||MPP–APPLIED DATA SCIENCE||4|
|DSCI 490||ANALYTICS SENIOR CAPSTONE||4|
All admitted students must officially Declare a Major by the time they reach 90 credits (junior standing).
Application for Graduation must be made at least two terms in advance of the term you expect to graduate (undergraduate and post-baccalaureate).
Check your progress with SOAR Student Online Academic Review—you must be signed in to use this tool.
- analyze special data types, including spatial data, text, and images;
- discuss ethical issues related to privacy, intellectual property, and data security;
- interpret analytic information effectively both verbally and visually for relevant audiences;
- make critical decisions to engineer data methodology and data management;
- use the technical, analytic and modeling skills associated with structured and unstructured data.