Data Analytics Certificate
Department of Information Systems and Quantitative Analysis, College of Information Science & Technology
Vision Statement
Data analytics uses a variety of techniques to examine large amounts of data to discover patterns that can lead to business insights. Data analytics has broad applicability in customer behavior analysis, fraud detection, scientific inquiry, process improvement, financial analysis, trend analysis, forecasting, and decision-making. Techniques may include statistical methods, data mining, modeling and simulation, and data visualization. The certificate is designed to equip students to apply the theory and practice of data analytics to solving problems in a variety of economic, social, and scientific domains.
Program Contact Information
Martina Greiner, PhD, Graduate Program Chair (GPC)
282B Peter Kiewit Institute (PKI)
402.554.2174
mgreiner@unomaha.edu
Emily Wiemers, Graduate Advisor
170 Peter Kiewit Institute (PKI)
402.554.3819
ewiemers@unomaha.edu
Prospective Student Admission
Admissions
General Application Requirements and Admission Criteria
Program-Specific Requirements
Application Deadlines (Spring 2024, Summer 2024, and Fall 2024)
- Fall: July 1
- Spring: December 1
- Summer: April 1
Other Requirements
- The minimum undergraduate grade point average requirement for the data analytics certificate program is 3.0 or equivalent score on a 4.0 scale. Applicants should have the equivalent of a four-year undergraduate degree.
-
English Language Proficiency: Applicants are required to have a command of oral and written English. Those who do not hold a baccalaureate or other advanced degree from the United States, OR a baccalaureate or other advanced degree from a predetermined country on the waiver list, must meet the minimum language proficiency score requirement in order to be considered for admission.
- Internet-based TOEFL: 80, IELTS: 6.5, PTE: 53, Duolingo: 110
- Resume: Submit a detailed resume indicating your work experience and background.
- OPTIONAL Statement of Purpose: Applicants may submit a statement of purpose with a maximum of 750 words that address:
- why you want to study at UNO
- career goals
- relevant qualifications or work experience that demonstrate potential for success in the graduate program
- motivations for pursuing graduate education
Degree Requirements
Prerequisite Requirements
The following courses are prerequisites for the required courses. Elective courses may have additional prerequisites. All prerequisites must be completed with grades of "B" or better.
Code | Title | Credits |
---|---|---|
CIST 2500 | INTRODUCTION TO APPLIED STATISTICS FOR IS&T | 3 |
or equivalent | ||
ISQA 8030 | INFORMATION SYSTEMS AND ETHICS | 3 |
or equivalent | ||
ISQA 8040 | AN OVERVIEW OF SYSTEMS DEVELOPMENT | 3 |
or ISQA 3310 | MANAGING THE DATABASE ENVIRONMENT | |
or equivalent |
Requirements
No more than two courses (6 credit hours maximum) can be used on two MIS-related certificates (Data Analytics, Information Assurance, Project Management, and Systems Analysis and Design).
Code | Title | Credits |
---|---|---|
Core Courses | ||
Pick one ISQA course from each of the three categories below | ||
Data Engineering | 3 | |
BUSINESS INTELLIGENCE | ||
INFORMATION AND DATA QUALITY MANAGEMENT | ||
NOSQL AND BIG DATA TECHNOLOGIES | ||
INTERNET OF THINGS (IOT), BIG DATA AND THE CLOUD | ||
FROM DATA TO DECISIONS | ||
DATA MINING: THEORY AND PRACTICE | ||
DATA WAREHOUSING AND DATA MINING | ||
Data Analytics | 3 | |
ADVANCED STATISTICAL METHODS FOR IS&T | ||
APPLIED REGRESSION ANALYSIS | ||
DATA MINING: THEORY AND PRACTICE | ||
APPLIED STATISTICAL MACHINE LEARNING | ||
DECISION SUPPORT SYSTEMS | ||
APPLIED DISTRIBUTION FREE STATISTICS | ||
APPLIED EXPERIMENTAL DESIGN AND ANALYSIS | ||
APPLIED MULTIVARIATE ANALYSIS | ||
GRAPH THEORY & APPLICATIONS | ||
DETERMINISTIC OPERATIONS RESEARCH MODELS | ||
MACHINE LEARNING FOR TEXT | ||
BUSINESS FORECASTING | ||
Data Visualization | 3 | |
GRAPHICAL USER INTERFACE DESIGN | ||
STORYTELLING WITH DATA | ||
CARTOGRAPHY AND DATA VISUALIZATION | ||
Electives | 6 | |
Pick two of the remaining courses from any of the three categories above 1 | ||
Total Credits | 15 |
- 1
ISQA 8080, ISQA 8086, and ISQA 8900 may be used but must be related to data analytics. Prior approval from the GPC is required to use these courses.
Completion of the Certificate
During what is expected to be the semester the certificate is completed and prior to the posted deadline, students should apply for the certificate through MavLINK on or before the deadline. If you complete the application form and do not complete all of the requirements for the certificate, contact the Office of Graduate Studies as soon as possible. You must reapply during the next semester in which you expect to complete the certificate; no additional fee is charged to reactivate your application.
The following requirements are due 12 working days prior to commencement:
- “Incomplete” and “NR” grades from previous terms must be removed so that the grade will be in the Office of Graduate Studies.
- All fees, fines, and other obligations due the university must be settled.
For students currently enrolled in courses that are a part of their plan of study, enrollment must be maintained in order to complete the certificate. A grade for any current enrollment must be received by the Registrar's Office no later than the close of business on the fifteenth working day following the end of a semester.
Awarding of Graduate Certificates
The Office of Graduate Studies will mail the certificate to students when all requirements are completed and all obligations to the university are satisfied. The Graduate College will not approve any changes in the student's permanent record once the certificate is awarded.