Pittsburg State University offers a Master of Science in Technology with an Artificial Intelligence emphasis through the School of Technology and Workforce Learning in its College of Technology. It is the university’s only master’s degree that requires artificial intelligence coursework.
The 30-credit degree is offered online and on campus in Pittsburg. It pairs an 18-credit technology management core with two required AI courses, an AI capstone project, and two electives that can include Data Mining, Predictive Analytics, or Artificial Intelligence.
Last reviewed: October 2026
Quick Facts
| Degree | MS in Technology, Artificial Intelligence emphasis |
| School | School of Technology and Workforce Learning, College of Technology |
| Location | Pittsburg, Kansas or Online |
| Format | Online and on campus, with hybrid and evening classes |
| Credits | 30 |
| Culminating Experience | AI capstone project and final presentation |
| Minimum GPA | 2.7 |
| GRE | Not listed as a requirement |
| Tuition | $416 per credit hour in state; $867 per credit hour out of state |
| Fall Deadline | July 15 |
| Spring Deadline | December 15 |
Official MS in Technology, Artificial Intelligence emphasis page
Curriculum
Pittsburg State’s program is a technology management degree with an AI emphasis. Most of the required credits cover research methods, statistics, leadership, and project management, and the AI coursework is applied and conceptual. The catalog does not list a course titled Machine Learning or Deep Learning.
Students complete 30 graduate credits consisting of:
- 18 credits of core requirements, including the 3-credit AI capstone project
- 6 credits of AI emphasis courses
- 6 credits of electives
Core Requirements
- GRT 891 – Research Methods in Technology, or GRT 892 – Action Research Methods in Technology
- GRT 887 – Statistical Applications and Data Analysis in Technology
- GRT 804 – Organization Leadership for Technologists
- ETECH 805 – Current Issues in Engineering Technology, or GRT 850 – Technology and Society
- ETECH 809 – Engineering Project Management
- GRT 830 – Artificial Intelligence Capstone Project
The statistics course is an applied introduction that covers data gathering, confidence intervals, correlation, and linear regression using statistical software.
Artificial Intelligence Emphasis Courses
- GRT 828 – Artificial Intelligence Foundations
- GRT 829 – Artificial Intelligence Ethics, Governance, and Policy
Artificial Intelligence Foundations is a survey course. It introduces generative and agentic AI, machine learning, natural language processing, and computer vision, and students apply existing AI models to real-world problems. The catalog describes its focus as conceptual understanding and the ability to assess AI applications. The ethics course covers AI regulation, corporate governance, and policy drafting.
Electives
Students select two courses. The options most relevant to machine learning are:
- DSIS 750 – Data Mining
- DSIS 813 – Predictive Analytics
- DSIS 850 – Artificial Intelligence
- DSIS 730 – Data Analytics: Business Intelligence
- DSIS 811 – Data Visualization
- DSIS 812 – Database Management
- GRT 813 – Applied Programming and Automation with AI
Data Mining covers classification, clustering, association analysis, and anomaly detection. Artificial Intelligence covers the algorithms and programming logic behind AI techniques used in business information systems. The catalog lists an undergraduate artificial intelligence course as the prerequisite for Data Mining, so students should confirm prerequisites with an advisor.
The elective list also includes management and engineering technology courses such as ETECH 807 – Systems Engineering and Analysis, GRT 714 – Network Administration Concepts, and GRT 788 – Lean Manufacturing. With room for only two electives, a student can take at most two of the data mining, predictive analytics, and artificial intelligence courses.
Capstone Project
GRT 830 is required for students in the Artificial Intelligence emphasis. Students design, develop, and deploy a functional AI application that addresses a real-world problem, working alone or in a team, and deliver a project report and presentation. A pass or fail final presentation is required to complete the degree. The emphasis does not include a thesis.
Cost and Tuition
Pittsburg State is a public university. Graduate students who enroll full time in fall or spring pay a flat rate per semester that includes campus fees, and part-time and summer enrollment is billed by the credit hour.
For the 2026–27 academic year, Pittsburg State lists these graduate rates:
| Category | Per Credit Hour | Full-Time Flat Rate per Semester |
|---|---|---|
| In state and Gorilla Advantage | $416 | $4,842 |
| Out of state, including international | $867 | $10,258 |
| Designated online programs | $416 | Not applicable |
At 30 credits, tuition at the per-credit rates comes to about $12,480 in state and about $26,010 out of state, before fees. The flat rate applies to graduate students taking at least 9 credit hours in a fall or spring semester.
The Gorilla Advantage rate extends in-state tuition to residents of more than 30 other states, including Missouri, Oklahoma, Arkansas, Nebraska, Colorado, and Texas. Students enrolled in a program the university designates as online pay the in-state rate wherever they live.
The College of Technology charges an additional fee of $30 per credit hour, capped at $350 per semester. Rates can change each year, so students should confirm current costs and which rate applies to them with the university.
View Pittsburg State graduate tuition and costs
Admission Requirements
Applicants need a bachelor’s degree with a minimum 2.7 GPA on a 4.0 scale, the standard for admission to the Graduate School.
The MS in Technology expects an undergraduate major in technology or an equivalent field. Applicants with degrees in business, industrial education, the sciences, or engineering are also considered.
The program evaluates transcripts for technical preparation. Applicants without a degree, minor, or at least 15 credit hours in a technology or engineering subject may be assigned up to 15 hours of foundation courses, which do not count toward the 30 credits.
Applicants who do not meet every requirement can be admitted conditionally and must clear the conditions by the time they complete 12 graduate hours.
Application Materials
Applicants submit:
- Graduate School application
- official transcripts
- proof of English proficiency when required
Pittsburg State does not list the GRE among the requirements for this program. International applicants need a TOEFL score of 550 on the paper test, an IELTS score of 6.0 with no band below 6.0, a PTE score of 47, or a Duolingo score of 100, and they complete an English assessment on arrival. International applicants also pay a $60 application fee and submit financial documents.
Application Deadlines
The Graduate School lists these deadlines, and the program does not publish separate dates:
| Entry Term | Deadline |
|---|---|
| Fall | July 15 |
| Spring | December 15 |
| Summer | May 15 |
| Fall (international applicants) | June 1 |
| Spring (international applicants) | October 15 |
International applicants must have all documents on file by the deadline.
Program Format
Pittsburg State lists the MS in Technology and its Artificial Intelligence emphasis as online and on campus. The program describes online, hybrid, and evening classes designed for working professionals.
The Artificial Intelligence emphasis is new and began enrolling students in August 2025. Several of its electives are taught by the Kelce College of Business under the DSIS prefix.
The university does not publish a typical time to completion. The catalog gives 12 credit hours as the typical full-time graduate load, and international students must enroll in at least 9 credit hours each fall and spring. International students also take GRT 799 – Professional Development for Technologist as one of their electives.
Who Is This Program Best For?
Pittsburg State’s MS in Technology with the Artificial Intelligence emphasis is a practical option for technology professionals and managers who want to apply and oversee AI tools at work and who value low public tuition and online study.
It may be especially appealing to students interested in:
- applying existing AI models to workplace problems
- AI ethics, governance, and policy
- technology leadership and project management
- building and deploying an AI application as a capstone
- adding data mining or predictive analytics as electives
- in-state tuition rates that extend to many other states and to online programs
This is a technology management degree, and 18 of its 30 credits are management, research, and statistics courses. The required AI coursework is introductory, data mining and artificial intelligence are electives with room for only two, and the curriculum has no dedicated machine learning or deep learning course, no algorithms or programming core, and no thesis. Students who want a computer science or data science master’s with model building and machine learning engineering may want to compare other Kansas schools.
Official Pittsburg State University Program Links
- MS in Technology, Artificial Intelligence emphasis program page
- Catalog program guide for the Artificial Intelligence emphasis
- Catalog entry for the MS in Technology
- Graduate admission and deadlines
- International graduate admission
- Graduate tuition and costs
Related Machine Learning Programs in Kansas
Students can also compare Pittsburg State University with other master’s programs in machine learning, artificial intelligence, and related fields offered in Kansas.
- Fort Hays State University – Hays
- Kansas State University – Manhattan
- Ottawa University – Overland Park
- University of Kansas – Lawrence
- Wichita State University – Wichita