Clemson University offers a Master of Applied Computing (MAC) with an Artificial Intelligence and Machine Learning track. The program stands out because Clemson designed it for students who have a bachelor’s degree but do not already have a computer science background.
Students complete a 12-credit computing readiness sequence before moving into graduate coursework. The full degree requires 42 credits and is offered on campus. Clemson lists a typical completion time of two years for full-time students.
| Degree | Master of Applied Computing (MAC) |
| ML option | Artificial Intelligence and Machine Learning track |
| Credits | 42 |
| Format | On campus |
| Typical length | 2 years full time |
| Entry term | Fall |
| Best fit | Students without an undergraduate computer science background |
| GRE | Required |
Why Clemson’s Applied Computing Program Fits Machine Learning Students
The Clemson MAC is different from a standard computer science master’s degree. It creates a graduate pathway for students who need the computing foundation first and then want advanced training in an area such as AI and machine learning.
The School of Computing describes the MAC as a 42-credit, coursework-only degree. Students complete 12 credits from Clemson’s MSCS Ready sequence and another 30 credits of graduate study. Every student selects one of six tracks: Artificial Intelligence and Machine Learning, Cybersecurity, Data Science, Human-Computer Interaction, Software Engineering, or Visual Computing.
For this site, the Artificial Intelligence and Machine Learning track is the key option. It gives students a defined ML concentration while preserving room for additional graduate computing courses.
Curriculum and AI & Machine Learning Track
The 42-credit curriculum has three main parts:
- MSCS Ready sequence: 12 credits
- MAC track courses: at least 15 credits
- Additional graduate coursework: 15 credits
The readiness sequence gives students the computer science background needed for graduate study. Clemson identifies CPSC 7010, 7020, 7030, 8120, 8130, and 8140 as the MSCS Ready modules that make up the 12-credit foundation.
Students then complete at least 15 credits in the AI and Machine Learning track. The remaining 15 credits can generally come from CPSC or HCC courses or approved coursework outside the School of Computing. This structure gives students room to add courses that support their career goals while keeping AI and ML at the center of the degree.
Clemson provides the current track requirements through its Graduate Catalog. Students should use the catalog for the exact course list because course availability and degree requirements can change by academic year.
Who Is the Clemson MAC Designed For?
The program is especially relevant for career changers and graduates from fields outside computer science. Clemson allows applicants with a bachelor’s degree in any field to apply.
That makes the MAC worth comparing with traditional computer science master’s programs that expect applicants to arrive with prior coursework in programming, algorithms, computer organization, and operating systems. Clemson directs students with little or no formal computer science background to the MAC rather than its standard M.S. in Computer Science.
Students planning to choose the AI and Machine Learning track should have prior statistics coursework. Clemson states that students without that background can take STAT 8010 during their first semester.
Program Length and Format
Clemson lists the MAC as an on-campus, 42-credit program. Full-time students normally complete it across two academic years plus the intervening summer. The program is structured for fall entry.
Part-time study is also possible. Clemson advises part-time students to plan to finish within six calendar years. Students looking specifically for a fully online machine learning master’s degree should therefore compare Clemson with online programs elsewhere.
Admissions
Clemson’s current program information lists the following application materials for the Master of Applied Computing:
- Graduate School application
- Personal statement or statement of purpose
- Résumé or CV
- Two letters of recommendation
- Unofficial transcripts during the application process
- Official GRE scores
- English-language proficiency scores when required for international applicants
The School of Computing states that the GRE requirement for MAC applicants cannot be waived. Clemson currently lists January 15 as the priority deadline and March 15 as the final deadline for fall admission. Applicants should confirm dates on Clemson’s official Applied Computing graduate program page before applying.
Tuition and Financial Aid
Clemson graduate tuition varies by program tier, residency, enrollment level, and academic year. For 2026–27, the university publishes separate full-time graduate rates for South Carolina residents and nonresidents across three tuition tiers. Students should use Clemson’s current graduate tuition and fee tables or tuition calculator to estimate the MAC cost for their specific enrollment plan.
Prospective students should also budget for university fees and other expenses beyond tuition. The School of Computing notes that its funding is reserved for Ph.D. study, so students admitted to the MAC should generally expect to pay full tuition or secure other funding. Graduate financial aid and employer tuition benefits may still be available.
Is Clemson a Good Choice for Machine Learning?
Clemson is a strong option for a specific type of student: someone who wants graduate-level AI and machine learning training but did not major in computer science. The built-in readiness sequence removes a common barrier for career changers, while the 15-credit AI and Machine Learning track gives the degree a clear ML focus.
The tradeoffs are also clear. The program requires 42 credits, is campus-based, and requires the GRE. Students who already have a strong computer science foundation may find a conventional M.S. in Computer Science more direct, while students who need an online format should compare other programs.
For applicants coming from another academic or professional field, however, Clemson offers an unusual bridge: foundational computer science coursework and a graduate AI/ML concentration packaged into one degree.