Information Systems - Data Analytics Emphasis, B.S.

Visit the Information Systems and Technology Department page for more information on the program and access to advising.

Program Description

The BS in Information Systems program prepares students to be Information Systems professionals. Graduates develop and deploy enterprise-level systems to meet organizational needs. The Data Analytics emphasis prepares graduates to become analysts and developers who produce data-driven financial, operational, and marketing intelligence by querying data repositories, developing and evaluating analytics models, generating interactive managerial insight tools, and devising methods for identifying data patterns and trends. Organizations store an enormous amount of data. People who are able to analyze the data to detect trends, extract and visualize stories, and form predictions are highly sought by national and regional organizations.

Program Requirements

Core Requirements

Graduation Requirements

1. Completion of at least 120 semester credits required in the BS degree; at least 40 credit hours must be upper-division courses.
2. Overall grade point average 2.0 or above with a minimum of 2.5 GPA in all discipline core, specialty core, and elective courses with no grade lower than a "C-."
3. Residency hours: Minimum of 30 credit hours through course attendance at UVU, with at least 10 hours earned in the last 45 hours.
4. Completion of GE and specified departmental requirements. Students are responsible for completing all prerequisite courses.
5. Successful completion of at least one Global/Intercultural course.
6. Successful completion of at least two Writing Enriched (WE) courses.

Graduation Plan

This graduation plan is a sample plan and is intended to be a guide. Your specific plan may differ based on your Math and English placement and/or transfer credits applied. You are encouraged to meet with an advisor and set up an individualized graduation plan in Wolverine Track.

Plan of Study Grid

First Year
Semester 1		Credit Hours
ENGL 1010	Introduction to Academic Writing	3
INFO 1120	Information Systems and Technology Fundamentals	3
Math Requirement. Complete one of the following:		3
MATH 1090	College Algebra for Business
MATH 1050	College Algebra
MATH 1055	College Algebra with Preliminaries
Biology General Education		3
Personal, Professional, and Civic Growth General Education Recommend CYBR 1700		3
	Credit Hours	15
Semester 2
ENGL 2010	Intermediate Academic Writing	3
INFO 1200	Computer Programming I for IS IT	3
MKTG 2200G	Written Business Communication	3
ACC 2110	Principles of Accounting I	3
INFO 2420	Web Application Design	3
	Credit Hours	15
Second Year
Semester 3
MGMT 2340	Business Statistics I	3
IM 2600	Spreadsheet Applications	3
Any 3-credit 1000 or 2000 level course from ACC, ECON, FIN, MGMT, HR, MKTG		3
IT 1510	Introduction to System Administration--Linux/UNIX	3
Humanities General Education		3
	Credit Hours	15
Semester 4
INFO 2200	Computer Programming II for IS IT	3
IT 2600	Data Communication Fundamentals	3
Physical Science General Education		3
Fine Arts General Education		3
American Institutions General Education		3
	Credit Hours	15
Third Year
Semester 5
INFO 2410	Database Fundamentals	3
CYBR 2700	Information Security Fundamentals	3
Social Science General Education		3
MGMT 3000	Organizational Behavior	3
MGMT 3345	Business Statistics II	3
	Credit Hours	15
Semester 6
INFO 3410	Database Systems and Warehousing	3
INFO 3130	Introduction to Applied Data Analytics	3
MKTG 3600	Principles of Marketing	3
Data Analytics Elective		3
INFO 3300	Web Systems Development	3
	Credit Hours	15
Fourth Year
Semester 7
INFO 3430	Systems Analysis and Design	3
INFO 4120	Data Visualization	3
Data Analytics Elective		3
Data Analytics Elective		3
Free Elective		3
	Credit Hours	15
Semester 8
INFO 4050G	Global Ethical and Professional Perspectives in IS and IT	3
INFO 4130	Data Science and Big Data Analytics	3
CYBR 4150	Data Security Analytics	3
Data Analytics Elective		3
Free Elective		3
	Credit Hours	15
	Total Credit Hours	120

Program Learning Outcomes

1. Analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions.
2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program's discipline.
3. Communicate effectively in a variety of professional contexts.
4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
5. Function effectively as a member or leader of a team engaged in activities appropriate to the program's discipline.
6. Support the delivery, use, and management of information systems within an information systems environment.
7. Prepare computer models, analyses, and visualizations of data that are designed to improve organizational decision-making.