Program Details

IT Data and Analytics Specialist
https://www.wctc.edu/academics/programs-courses/programs/it-database-specialist/index.php
Waukesha County Technical College
IT - Database Specialist 62-credit Associate of Applied Science Degree Program Code 10-156-2 Learn how to support the operational database needs of small to medium businesses including configuration and management of database servers, user permissions on the database and troubleshooting performance issues. Become proficient in data analysis, reporting and data model development. Gain an introduction to data cubes, data analytics and big data.

This program is offered

https://www.wctc.edu/admissions-cost/enroll/steps-to-apply.php

https://www.wctc.edu/about/campus-academic-policies/tuition-refund-policy.php

Program Enrollments and Completions
52
35
10 (30%)
10 (100%)
Employment Outcomes (Completions Only)
7 (72%)
$16,284
$15,099
4 (50%)
$15,224

PLEASE NOTE:

If there are fewer than eight enrollments in the training program, only the "Enrollments" number will be displayed; all other data is hidden in order to help protect the students' identities. The "Employment Outcomes" are calculated using information from Wisconsin's Unemployment Insurance Wage database. Most employers are required to report certain employment information to the State of Wisconsin, including quarterly wage information for their employees. Students whose information could not be verified in this database are excluded from these outcomes. If a "0" shows for any of these outcomes, it means that none of the students' information could be verified.

MAKING SENSE OF THE EMPLOYMENT OUTCOMES:

"Average quarterly wages" means the total wages earned in a three-month period by all students who completed the program ("completers"), divided by the total number of completers.

"Median quarterly wages" means all the completers' quarterly wages are placed in order from lowest to highest and then we identify the student's wages in the middle. This information is provided because averages can be greatly influenced by really high and low wage earners.

To estimate monthly wages, divide the quarterly wages by three.


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JRolon1@wctc.edu

Not Provided

Not Provided

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