Data Science Concentration
Management Information Systems, Bachelor of Science in Management Information Systems - Data Science Concentration Requirements
| Code | Title | Credits |
|---|---|---|
| General Education Requirements (MavEd) - 34 Hours Required | ||
| Minimum of “C-“required | ||
| Fundamental Skills | 15 | |
Writing – 6 hrs. | ||
| ENGLISH COMPOSITION I | ||
or ENGL 1140 | ENGLISH COMPOSITION I WITH SUPPORT | |
| ENGLISH COMPOSITION II | ||
Oral Communication – 3 hrs. | ||
| PUBLIC SPEAKING FUNDS | ||
or CMST 2120 | ARGUMENTATION AND DEBATE | |
Quantitative Literacy – 3 hrs. | ||
| INTRODUCTION TO MATHEMATICAL AND COMPUTATIONAL THINKING | ||
or MATH 1130 | QUANTITATIVE LITERACY | |
or MATH 1140 | QUANTITATIVE REASONING FOR HEALTHCARE PROFESSIONALS | |
or MATH 1300 | COLLEGE ALGEBRA WITH SUPPORT | |
Data Literacy – 3 hrs. | ||
Select one from the following: | ||
| DATA LITERACY FOR WORK AND LIFE | ||
| DATA AND INFORMATION LITERACY | ||
| DATA LITERACY AND VISUALIZATION | ||
| ELEMENTARY STATISTICS | ||
Until Fall 2028, students can satisfy this requirement with an approved data literacy course, or any approved natural or social science general education (MavEd) course. | ||
| Breadth of Knowledge | 13 | |
Social Science – 3 hrs. | ||
Humanities – 3 hrs. | ||
Natural & Physical Science (must complete a lab) – 4 hrs. | ||
Arts – 3 hrs. | ||
| Individual and Social Responsibility | 6 | |
Cultural Knowledge – 3 hrs. | ||
Civic Knowledge and Engagement – 3 hrs. | ||
| MAJOR REQUIREMENTS - 75 Hours Required | ||
| **Course will satisfy UNO's General Education (MavEd) requirement | ||
| ^Course requires pre-requisite(s) | ||
| All of the Following: | 57 | |
| INTRODUCTION TO INFORMATION SECURITY (**) | ||
| INTRODUCTION TO WEB DEVELOPMENT (^) | ||
| INTRODUCTION TO COMPUTER SCIENCE I (^) | ||
| CALCULUS FOR THE MANAGERIAL, LIFE, AND SOCIAL SCIENCES (^) | ||
or MATH 1370 | APPLIED ALGEBRA AND OPTIMIZATION WITH DATA ANALYSIS | |
| ORGANIZATIONS, APPLICATIONS AND TECHNOLOGY (**^) | ||
| ACCOUNTING BASICS FOR NON-BUSINESS MAJORS (^) | ||
or ACCT 2010 | PRINCIPLES OF ACCOUNTING I | |
| PRINCIPLES OF ECONOMICS (MICRO) (**^) | ||
| PRINCIPLES OF ECONOMICS (MACRO) (**^) | ||
| INTRODUCTION TO APPLIED STATISTICS FOR IS&T (^) | ||
| TECHNICAL WRITING & COMMUNICATION FOR IS&T (^) | ||
| INFORMATION TECHNOLOGY ETHICS (**^) | ||
| MANAGING THE DATABASE ENVIRONMENT (^) | ||
| INFORMATION TECHNOLOGY INFRASTRUCTURE (^) | ||
| MANAGING IN A DIGITAL WORLD (^) | ||
| WEB APPLICATION DEVELOPMENT (^) | ||
| INTRODUCTION TO PROJECT MANAGEMENT (^) | ||
| INFORMATION SYSTEMS ANALYSIS (^) | ||
| SYSTEM DESIGN AND IMPLEMENTATION (^) | ||
| FULL STACK DEVELOPMENT (^) | ||
| Business Co-Requirement - Select 2 courses from the following: | 6 | |
| PRINCIPLES OF ACCOUNTING II (^) | ||
| ACCOUNTING INFORMATION SYSTEMS (^) | ||
| ECONOMIC THEORY: MICRO (^) | ||
| ECONOMIC THEORY: MACRO (^) | ||
| QUANTITATIVE APPLICATIONS IN ECONOMICS AND BUSINESS (^) | ||
| ENTREPRENEURIAL FOUNDATIONS (^) | ||
| NEW VENTURE FORMATION (^) | ||
| PRINCIPLES OF FINANCIAL MANAGEMENT (^) | ||
| PRINCIPLES OF MARKETING (^) | ||
| DIGITAL MARKETING COMMUNICATIONS (^) | ||
| SOCIAL MEDIA MARKETING (^) | ||
| MANAGING PEOPLE AND ORGANIZATIONS (^) | ||
| HUMAN RESOURCE MANAGEMENT (^) | ||
| MANAGING BEHAVIOR IN ORGANIZATIONS (^) | ||
| MANAGING COLLABORATIVE ENGAGEMENT (^) | ||
| INTRODUCTION TO SUPPLY CHAIN MANAGEMENT (^) | ||
| GLOBAL SOURCING AND INNOVATION (^) | ||
| INDUSTRIAL PURCHASING AND LOGISTICS MANAGEMENT (^) | ||
| Data Science Concentration - 12 Hours Required | ||
| All of the following: | 6 | |
| BUSINESS INTELLIGENCE (^) | ||
| INFORMATION AND DATA QUALITY MANAGEMENT (^) | ||
| Select 2 courses from the following: | 6 | |
| SPECIAL TOPICS: INFORMATION SYSTEMS & QUANTITATIVE ANALYSIS (^) 1 | ||
| ADVANCED STATISTICAL METHODS FOR IS&T (^) | ||
| DECISION SUPPORT SYSTEMS (^) | ||
Other courses as approved by the MIS undergraduate program committee. | ||
| ELECTIVES | ||
| Elective hours as required to reach a total of 120 hours | ||
- 1
ISQA 4000 special topic must be related to Data Science. Approval from the MIS undergraduate program committee is required prior to taking the course.