The Data Analytics program prepares students for roles in technology, finance, healthcare, ecommerce, manufacturing and more. The competency-based curriculum provides training through real-world simulations, personalized mentoring, and practical coursework. Students develop skills in initiating data projects, sourcing information, transforming datasets, analyzing data, and presenting results which form an essential toolkit for the field of data analytics.
The Data Analytics program prepares students for roles in technology, finance, healthcare, ecommerce, manufacturing and more. The competency-based curriculum provides training through real-world simulations, personalized mentoring, and practical coursework. Students develop skills in initiating data projects, sourcing information, transforming datasets, analyzing data, and presenting results which form an essential toolkit for the field of data analytics.
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This program is eligible for Financial and Veterans Aid! Learn more
Registration Opens: April 23, 2024
Minimum Age Requirement: 17 years old. High school students must be in their senior year.
Registration opens at 8:00 AM on the Student Portal, and remains open until classes are full.
| SECTION | CAMPUS | ROOM # | START DATE | END DATE | START TIME | END TIME | DAYS |
|---|---|---|---|---|---|---|---|
| Fall Core 2024 | Lehi Campus – Building B | 218 | 8/15/2024 | 7/1/2025 | 7:30 AM | 10:30 AM | Monday Hybrid, Tuesday-Friday |
| Fall Core 2024 | Lehi Campus – Building B | 218 | 8/15/2024 | 7/1/2025 | 11:30 AM | 2:30 PM | Monday Hybrid, Tuesday-Friday |
| Fall Core 2024 | Lehi Campus – Building B | 218 | 8/15/2024 | 7/1/2025 | 6:00 PM | 9:00 PM | Monday – Thursday, Friday Hybrid |
| Schedule Notes: | This program incorporates hours of remote learning to be completed outside of classroom sessions. |
| Course Name | Tuition ($120/credit) | Course Fees |
| Introduction to Data Analytics | $120.00 | $50.00 |
| Spreadsheet Fundamentals | $240.00 | |
| SQL Fundamentals | $360.00 | |
| Python Fundamentals | $360.00 | |
| Introduction to Machine Learning | $240.00 | |
| Data Visualization Fundamentals | $240.00 | |
| Data Visualization Fundamentals II | $120.00 | |
| Data Analytics Capstone Project | $240.00 | |
| ELECTIVES (Students will work with their instructor to choose 120 hours/4 credits of electives) | ||
| Elective Course Name | Tuition ($120/credit) | Course Fees |
| R Fundamentals | $240.00 | |
| Introduction to Database Design | $240.00 | |
| Introduction to Semi-Conductor Manufacturing | $120.00 | |
| Statistical Process Control | $120.00 | |
| Data Analytics Capstone Project Elective | $240.00 | |
| TOTALS: | $2,400.00 | $50.00 |
| Tuition/Fees | Cost |
|---|---|
| Tuition: | $2,400.00 |
| Application Fee: | $0.00 |
| Registration Fee: | $40.00 |
| Total Course Fees: | $50.00 |
| Required Materials: | $0.00 |
| Industry Exam Fee: | $0.00 |
| Total: | $2,490.00 |
Note: High school students attend MTECH tuition free, and are only responsible for fees and materials.
Course-by-course cost breakdowns can be found on the “Courses” tab above.
Upon registration, you will register and submit payment for the first course in the program.
While not required, you may make a deposit, in person or online, for the full program upon registration to be held in your student account.
| Required Materials | Quantity | Notes (ISBN numbers, etc) | Cost | |||||
|---|---|---|---|---|---|---|---|---|
| Internet connectivity for remote learning | 1 | This program is a hybrid program and requires remote learning outside of in-person hours. Access to a computer and the internet is required. | $0.00 | |||||
| Total Cost of Required Materials | $0.00 |
What are some skills I need to be successful in studying data analytics?
A strong foundation in math, spreadsheet usage, an eye for patterns, and a curious, analytical mindset serve as valuable starting points for success in data analytics, providing a natural inclination towards understanding and manipulating data.
In what areas of work can I create a career in data analytics?
Data analytics skills find wide applications across diverse industries, including finance, healthcare, retail, technology, manufacturing, ecommerce, education and government sectors, enabling optimization, informed decision-making, and efficiency improvements through data-driven insights.
How is a data analyst different than a software developer?
Data analysts interpret data to uncover insights for decision-making using statistical and analytical tools, while software developers create and maintain software applications by writing code and ensuring their functionality meets specified requirements.
Admission requirements may be met by taking the Entrance Assessment OR by providing qualifying documentation. The Entrance Assessment can be taken at a Testing Center, and qualifying documents can be sent to transcripts@mtec.edu.
Learn more about the assessment HERE
Once previous steps have been completed, eligibility is met to register for the first course within the program. Registration is on a first come, first serve basis. Tuition and fees are due for the first course upon registration.
Prospective students can register through the Student Portal, or in person at Student Services.
