Printed: 11 / 6 / 2024 1:33:26 PM Academic year: 2025-2026
DATA ANALYTICS- ASSOCIATE DEGREE
Program Code: 101563
As businesses are collecting more data there is an increased need to interpret, analyze, and present that data to the key stakeholders who make the business decisions. The Data Analyst program prepares learners to use techniques to combine, clarify and interpret patterns and trends, and provide visualizations of the data using best practices and relevant technologies.
Delivery
Day Evening Full-time Online: Some online courses may be delivered at specific times each week. Part-time
Explore Locations
This program is offered at:
Green Bay
Program Costs & Financial Aid
Tuition: $ 11,040, Books: $ 1,274, Supplies: $ 0 Total Approximate Costs $ 12,314
See costs of tuition, books, and supplies.
This program is fully eligible for financial aid.
Estimates based on in-state residency. Please visit the following URL to learn more about tuition and fees for this program. https:// www. nwtc. edu / admissions-and-aid / paying-for-college / tuition-and-fees? ProgramCode = 101563
Requirements for Program Entry
Apply at www. nwtc. edu / apply Submit high school, GED, or HSED transcripts and college transcripts( if applicable) to transcripts @ nwtc. edu
Tip! Our admission advisors will assist you through every step. Have questions? Connect with NWTC Admissions at start @ nwtc. edu or 920-498- 5444.
Program Outcomes
Develop functional knowledge in the rapidly growing field of data analytics. Build and apply critical thinking skills when integrating datasets from multiple sources. Develop techniques for communicating data through visualization and storytelling. Use relevant technologies to gather, analyze and interpret patterns and trends in data.
Curriculum
Students following the study plan below will complete the Data Analytics Associate Degree in the number of semesters shown.
First Semester 8 Week 1
10890101- College 101 1 10801136- English Composition 1 3 10804135- Quantitative Reasoning 3 10103131- MS Excel Intro 1
8 Week 2 10107117- Careers in IT 1 10151100- Intro to Cybersecurity 1 10103132- MS Excel Part 2 1 10804189- Introductory Statistics 3
Semester Total 14
Second Semester 8 Week 1
10103175- Power BI 1 10152125- Database Design 3 10102124- Planning and Monitoring 3
8 Week 2 10196188- Project Mgmt Fundamentals 3 10152170- Programming in Python 3 10156112- Data Visualization 2
Semester Total 15
Third Semester 8 Week 1 10105103- Career Fundamentals 1 10152184- SQL Programming 3 10152160- Programming in R 3
8 Week 2 10156114- Data Analytics 2 10809198- Intro to Psychology 3 10196189- Team Building / Prob Solve 3
Semester Total 15
Fourth Semester 8 Week 1 10182111- Lean Operations 1 10182112- Lean Manufacturing 1 10809172- Intro to Diversity Studies 3 Elective 3
8 Week 2 10182114- Lean Six Sigma 1 10801196- Oral / Interpersonal Comm 3 10156110- Data Analytics 2 3
Full Semester 10156199- Data Analytics Career Exp 2
Semester Total 17
Total Credits 61
Students must take 3 credits of elective courses 10116116- HR Organizational Metrics 2 10620147- Intro to Predictive Maintenance 1 10530163- HC Stats and Analytics 3 10104174- Marketing Analytics 3
Curriculum Note: The credit for 10-890-101, College 101 is an Institutional Requirement for graduation. Consequently, it is not part of the program requirements, but must be passed with a C.
Students must earn a grade of " C " or higher in Quantitative Reasoning in order to progress.
Students must take 3 credits of elective courses: 10-116-116 HR Organizational Metrics( 2 credits) 10-620-147 Intro to Predictive Maintenance( 1 credit) 10-530-163 HC Stats and Analytics( 3 credits) 10-104-174 Marketing Analytics( 3 credits)
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