With an associate degree from Madison College in IT-Data & Analytics Specialist, you will have practical, applicable skills in data engineering and analytics to secure employment in this rapidly-growing specialty and thrive in most technical workplaces.
Valuable skills sought by employers include Python programming, relational database technologies/programming and data-related cloud expertise. Training blends general educational development and required IT technical skills. Graduates are prepared for data-centric jobs in information technology, government, insurance, medicine, marketing, manufacturing, service, software development, wholesale and retail sales, utilities, banking and academics.
Students in the IT-Data & Analytics Specialist program can attend full or part time.
The core classes unique to the IT-Data & Analytics Specialist program are offered only in person and during the day.
IT-Data & Analytics Specialist classes are offered at our Madison Truax campus.
Spring admissions: Some courses in the IT-Data & Analytics Specialist program are only offered in the daytime and may take 5 semesters to complete.
Madison College IT-Data & Analytics Specialist graduates are prepared to:
- Data Analyst
- Data Wrangler
Curriculum and Experience
Prospective program students, the information below reflects the basic requirements for students admitted for the 2023-2024 academic year. To learn more about Madison College, visit us.
Current and newly admitted program students, go directly to your Degree Progress Report to view:
- Progress toward your specific requirements
- Alternative (in lieu of) courses to meet specific requirements
If you have questions after reviewing your degree progress report (advisement report), please see Advising Services.First Semester10-103-1331 credit10-103-1391 credit10-107-1111 credit10-151-1021 credit10-152-1203 credits10-152-2113 credits10-156-1243 credits10-804-1443 creditsSecond Semester10-102-1043 credits10-156-1253 credits10-156-1333 credits10-156-1353 credits10-801-1953 creditsThird Semester10-107-1751 credit10-152-1103 credits10-152-1303 credits10-156-1443 credits10-809-1973 credits10-809-1993 creditsFourth Semester10-152-1313 credits10-156-1453 credits10-156-1963 credits10-801-1963 creditsElective3 creditsRecommended Electives10-152-1213 credits10-152-1383 credits10-152-1583 credits10-152-1683 credits10-152-2003 credits
Earning a degree is a great way to advance your career development opportunities, so apply today!
International students who wish to apply for, maintain, or transfer their F-1 student visa status to Madison College are required to complete the International Admission Process.
- Application open
- Application completion deadline is August 31, 2023
All materials must be submitted by the application deadline.
1. Admission Application
The online application allows you to save your work as you complete it and ensures fast, secure delivery to our office.
2. Education Completion
Students must submit official transcripts for one of the following:
- High school transcript (current high school seniors may submit an in-progress transcript)
- GED/HSED transcript
- College transcript(s) showing:
- At least 30 credits completed with a minimum GPA of 2.0, or
- Completion of an associate degree or higher
All high school and/or college transcripts are recommended to be submitted for Credit for Prior Learning evaluation.
- Class capacity is limited and is available on a first come, first served basis.
- Course prerequisites differ from admission requirements; admission into a program does not guarantee eligibility to enroll in courses or success in the program. Refer to program curriculum for details.
Once you are admitted into your program, review the Start of Semester Checklist to prepare for your first day of classes at Madison College.
Contact the Enrollment Center at EnrollmentServices@madisoncollege.edu or 608.246.6210.
Apply to Madison College and take the first step towards your IT-Data and Analytics Specialist career.
Graduates of the IT-Data & Analytics Specialist are prepared to:
- Prepare data for more extensive analysis through data engineering (ETL) by writing moderately complex Python scripts.
- Discover and quantify trends in data by using industry-standard tools or writing moderately complex Python scripts.
- Solve common analytics tasks through machine learning.
- Recommend basic business solutions through a complete understanding of the data analytics life cycle.
- Communicate status and findings through professional charts and dashboards.
- Manage and store data based on usage (e.g. data lakes, relational, warehouse), both in the cloud and on-prem.
- Migrate data between data stores using Python scripts and industry-standard tools, both in the cloud and on-prem.
Madison Truax Campus
Main Building, A2105
1701 Wright Street
Madison, Wisconsin 53704
Se habla Español.
Monday - Thursday: 8:00 am - 4:30 pm
Friday: 8:00 am - 4:30 pm phone or email only