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Nov 21, 2024
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2020-2021 Undergraduate Catalog [ARCHIVED CATALOG]
Applied Arts and Sciences, BAAS with a grad track option leading to MS in Advanced Data Analytics
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 Return to: Majors, minors, certificates
Admission to the grad track in data analytics will require completion of an AAS degree in Business Administration, Business Management, or AS in Computer Science Field of study as well as successful completion of CSCE 1030 , CSCE 1040 , CSCE 2100 , MATH 2000 and MATH 3680 .
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Application and registration process:
- Declared Applied Arts and Sciences (AA&S) students with the following may apply during their junior year:
- a cumulative GPA 3.5 or higher for the last 60 hours completed,
- 75 or more credit hours completed, and
- who are registered within the AA&S degree as pursuing the Data Analytics focus area.
- The following courses must be completed with a grade of C or higher or be in progress at the time of application:
- Students submit the Toulouse Graduate School’s Conditional Admission and Advisor Course Approval Form to the graduate coordinator for the Advanced Data Analytics pathway list above. A signed copy of that form must be submitted to the Applied Arts and Sciences Advisor for official records.
- Students may not take a graduate class until 90 credit hours have been completed, and must complete their BAAS degree within one year of taking their first graduate course within the track in order to have the courses transferred to their graduate plan.
- Students apply for admission to the Advanced Data Analytics MS program through the Toulouse Graduate School during the first semester of their final undergraduate year at UNT.
Admission process and standards:
To be admitted to the program, students submit the following items to the Applied Arts and Sciences Faculty Coordinator.
- written statement of purpose (500-700 words)
- resume or CV
The student’s current transcript will also be pulled by the advisor to verify GPA and prerequisites. Grad Track program admission decisions will be made holistically and in collaboration with the graduate program coordinators. Students will be notified of whether they were selected to be admitted to the grad track program through a letter co-signed by the Applied Arts and Science faculty coordinator and the Advanced Data Analytics graduate coordinator.
Communication and monitoring:
Students are given a copy of this process form by their AA&S advisor to
- clarify all application and admissions requirements,
- notify students that they remain undergraduates until all undergraduate degree requirements and their B.A.A.S. degree is posted to their transcript,
- notify students that they are not eligible for most graduate perquisites, including teaching and research assistantships and related health insurance, financial aid, or graduate award programs until their undergraduate degree is posted, and
- notify students that graduate courses successfully completed as a part of the grad track will be transferred officially as pass/fail credits to their graduate transcript, not factoring into the graduate GPA.
Student progress will be monitored through transcript and academic progress reports to the AA&S faculty coordinator and the Advanced Data Analytics graduate coordinators after each term, provided by the advisor.
The cumulative GPA must remain above 3.0, with no course grades below C for the student to be considered to be making satisfactory academic progress in the grad track. A student who fails to meet this standard will be removed from the grad track program.
Required courses, 24 hours
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Return to: Majors, minors, certificates
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