UCCS PLTW Dual Credit
Earn UCCS dual college credit while in high school for a reduced rate of $102/credit hour.
To be eligible, students must be enrolled in the PLTW course for one academic year and attend a PLTW High School.
Payment is due at time of registration. A service fee on credit card/debit card transactions in the amount of 2.75% of the credit card/debit card payment will be charged on your student account. Visit Bursar Office for additional information.
Dates to RememberOnce the registration period for a course has passed, it is too late to sign up for dual credit. Accreditation rules prohibit retroactively granting credit.
- January 15, 2019: High School Application Opens, Registration Starts
- March 15, 2019: High School Census Date (Payment due in full), Registration Closes
Requirements for High School Students to Receive Undergraduate Credit
- PLTW Teacher must have completed the appropriate Core Training for the course he/she is offering
- Most current curriculum must be utilized, not just using one module or activity
- The student must be enrolled for the college credit via UCCS in the current year he/she is taking the course (registration will be January/February) as the PLTW are traditionally year-long courses.
- The student must complete the End of Course (EoC) assessment from PLTW and must receive at least a 4 on the EoC. (Ranges from 1-9 on the EoC).
- No refunds granted for students who receive below 4 on the EoC assessment. (Similar to a student taking an AP exam and not receiving a refund if the student doesn't score high enough for college credit.)
- The student's college transcript grade will be weighed in a 50/50 formula. EoC= 50% of the college grade and PLTW Assignments, Exams, Other Coursework = 50%.
College Credit Grade Calculation
50% EOC, 50% school coursework
EOC Score Percentage 9 100 8 96 7 92 6 88 5 85 4 81 3 77 2 73 1 69
PLTW has released sample End-of-Course (EoC) assessment items for teachers to use. These multiple-choice assessment items allow teachers and students to become familiar with the types of questions included in the EoC Assessment. Teachers are encouraged to use these items during the school year for classroom assessment and EoC Assessment preparation. Please note, these items do not represent the content spread of the EoC Assessment, but rather the type of items students will see on the exam. These items can be used in combination with your own items. They can be found as a .zip file located in the Assessment Resources module of the ongoing training course. The file can then be downloaded.
UCCS PLTW Preferred Admittance
In order to enroll in engineering courses, the student must be admitted to the College of Engineering and Applied Science, in addition to the University, as described in the Admissions section of the UCCS Academic Catalog.
- Rank in the upper 30th percentile of their high school graduating class
- ACT composite score of 25 or above or an SAT composite score of 1120 or above
Students who meet these requirements are assured admission to the College.
Students successfully completing three Project Lead The Way (PLTW) courses with a "B" average (two Foundation and one specialization course) and meeting the above criteria will be granted preferred admission for the following majors: Computer Engineering, Electrical Engineering, Engineering Education, and Mechanical Engineering. [Foundation courses: Introduction to Engineering Design, Principles of Engineering].
Bachelor of Science in Engineering Education
Become a STEM Teacher! This is a hands-on teaching degree.
- Preparing secondary teachers (grades 7-12)
- PLTW students save time and money: preferred admission with PLTW courses applying directly to required college courses
- Begin teaching in the classroom your first semester
- Graduate sooner- 4 year degree including student teaching
- Graduate ready for teacher licensure in math and science
Bachelor of Science in Data Analytics and Systems Engineering
Data Analytics and Systems Engineering (DASE) is an interdisciplinary field about processes and large systems to extract knowledge or insights from data in various forms. Begins Fall 2017
- Learn algorithms & analytics designed to synthesize answers from "big data" sets
- Apply mathematical methods & models to data challenges in a variety of industries
- Develop a logical & structured approach to real-world problem solving
- Access summer internships for students with local high technology companies