BS in Information Technology, Data Analytics
School of Business, Technology, and Health Care Administration
The Data Analytics minor is designed to provide learners with the knowledge, skills, and abilities necessary to examine data in a variety of applications and settings. The curriculum addresses the range of process and workflow concepts and activities that comprise data analytics within an IT environment. Specific topics include data identification and collection as well as data cleansing and quality measurement. These topics are applied to data mining and analytics projects involving data transformation, manipulation, analysis, and presentation. This minor prepares learners to successfully solve IT problems using a variety of data analytics tools and techniques. Learners acquire an understanding of the roles of data governance and management as factors that impact data analytics with data preparation. Learners gain knowledge of transformation and manipulation in order to prepare datasets for business analysts and to create business solutions specific to the IT environment. This minor provides foundational information for learners with an interest in pursuing SAS® certifications.
General Education Requirements
Choose 45 quarter credits with a minimum of 4 quarter credits from each category; see General Education Courses.
Required courses:
Additional Program Requirements
Core courses
At least 54 quarter credits
| IT1006 | Information Technology Concepts and Practices | 6 |
| IT2230 | Introduction to Database Systems | 3 |
| IT2249 | Introduction to Programming with Java | 6 |
| IT2280 | Network Technology and Architecture | 6 |
| IT3170 | Ethics and Business Goals for the Information Technology Professional | 6 |
| IT3240 | Web Development and JavaScript | 6 |
| IT3249 | Software Architecture and User Experience Design | 6 |
| IT3280 | Hardware and Operating System Administration | 6 |
| IT3349 | Intermediate Java Programming | 3 |
| IT3358 | Information Security Concepts for the Information Technology Professional | 3 |
| PM3000 | Principles of Project Management | 3 |
Minor courses
At least 24 quarter credits
| IT4200 | Data Governance and Stewardship | 3 |
| IT4345 | Data Modeling and Statistical Analysis | 6 |
| IT4350 | Information Solutions and Delivery Strategies | 3 |
| IT4535 | Introduction to Artificial Intelligence | 6 |
| IT4537 | Enterprise Data Storage and Data Management | 6 |
Elective courses
At least 51 quarter credits
Choose 51 quarter credits of additional undergraduate courses.
Capstone course
At least 6 quarter credits
Taken during the learner’s final quarter:
| IT4990 | Information Technology Capstone Project | 6 |
Total
At least 180 quarter credits, including a minimum of 54 quarter credits from the 3000/4000 level
One or more courses in this program may require a prerequisite(s). Refer to the course descriptions for details.
Learners who do not complete all program requirements within quarter credit/program point minimums will be required to accrue such additional quarter credits/program points as are associated with any additional or repeat coursework necessary for successful completion of program requirements.
Multiple Specializations available (must be within the same degree program)