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

Ms. Leslie Planos, Advisor
176C Peter Kiewit Institute (PKI) 
402.554.3819
lplanos@unomaha.edu

Ms. Vanessa Hatfield-Reeker, Advisor
175C Peter Kiewit Institute (PKI) 
402.554.2073
vhatfield@unomaha.edu

Program Website

Admissions

Application Deadlines (Spring 2021, Summer 2021, and Fall 2021)

  • Fall: July 1
  • Spring: December 1
  • Summer: April 1

Program-Specific Requirements

  • 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. 

    • Paper-based TOEFL: 550
    • Computer-based TOEFL: 223
    • Internet-based TOEFL: 80
    • IELTS: 6.5
    • PTE: 53
  • The minimum undergraduate grade point average requirement for the data analytics certificate program is 3.00 or equivalent score on a 4.00 scale. Applicants should have the equivalent of a 4-year undergraduate degree.
  • Applicants with International Transcripts: Any applicant to this program who has completed undergraduate or graduate coursework at an international higher education institution outside of the United States may submit transcripts and degree certificates (with an English translation) in lieu of a course-by-course transcript evaluation from World Education Services (WES), Educational Credential Evaluators (ECE), or Educational Perspectives.  This graduate program will conduct an in-house credential evaluation of your transcript(s).
    • UNO reserves the right to require a course-by-course evaluation from WES, ECE, or Educational Perspectives if the program is unable to complete an evaluation or should there be any questions or concerns about the documentation that is received. You will be notified by the individual program if an external course-by-course evaluation is required.
    • *Note: If you are admitted, official transcripts and degree certificates (with an English translation)/official course-by-course transcript evaluation, and any applicable official exam scores are required.

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.

ISQA 8030INFORMATION SYSTEMS AND ETHICS3
or equivalent
CIST 2500INTRODUCTION TO APPLIED STATISTICS FOR IS&T3
or equivalent
ISQA 8040AN OVERVIEW OF SYSTEMS DEVELOPMENT3
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). 

Core Courses
Pick one ISQA course from each of the three categories below
Data Engineering3
BUSINESS INTELLIGENCE
INFORMATION AND DATA QUALITY MANAGEMENT
NOSQL AND BIG DATA TECHNOLOGIES
INTERNET OF THINGS (IOT), BIG DATA AND THE CLOUD
DATA MINING: THEORY AND PRACTICE
DATA WAREHOUSING AND DATA MINING
Data Analytics3
ADVANCED STATISTICAL METHODS FOR IS&T
APPLIED REGRESSION ANALYSIS
DATA MINING: THEORY AND PRACTICE
ISQA 8720
APPLIED STATISTICAL MACHINE LEARNING
DECISION SUPPORT SYSTEMS
APPLIED DISTRIBUTION FREE STATISTICS
APPLIED EXPERIMENTAL DESIGN AND ANALYSIS
APPLIED MULTIVARIATE ANALYSIS
GRAPH THEORY & APPLICATIONS
BUSINESS FORECASTING
DETERMINISTIC OPERATIONS RESEARCH MODELS
Data Visualization3
GRAPHICAL USER INTERFACE DESIGN
STORYTELLING WITH DATA
CARTOGRAPHY AND GIS
Electives6
Pick two of the remaining courses from any of the three categories above 1
Total Credits15

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.