University of the Potomac

How this program compares

At an estimated $18K in total tuition, the MS in Computer Science - AI Concentration sits roughly 58% below the $42.9K average for AI master's programs in our database — placing it in the 19th percentile on cost among the 394 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and relevant coursework in algorithms and data structures.

About This Program

This graduate program provides advanced study in computer science with a specialized focus on the algorithms and systems that power artificial intelligence. Coursework concentrates on Generative AI and LLMs and Machine Learning. Most students complete it in about 2 years.

It is one of 15 AI-related programs we track in District of Columbia, of which about 60% offer an online option. On price, it comes in cheaper than about 87% of the District of Columbia programs in our data, where typical tuition runs near $83.4K.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

Design and implement machine learning models for predictive analytics.

Budget planners should note $18K estimated total tuition (19th percentile among AI master's programs, below the $42.9K average). That makes it one of the more affordable options for students weighing return on investment.

Career Outcomes

University of the Potomac positions this master track for AI Engineer careers — typical offers cluster around $120,000. Its focus on Generative AI and LLMs and Machine Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. Computer Vision Engineer

What You'll Learn

• Design and implement machine learning models for predictive analytics
• Develop AI systems using neural networks and deep learning techniques
• Apply natural language processing to real-world data challenges
• Build computer vision algorithms for image recognition and analysis

Curriculum Highlights

The curriculum includes graduate-level computer science foundations with concentration-specific courses in machine learning, AI theory, and automated reasoning.

Top Employers

Top employers include Google, Microsoft, Amazon, and Meta.

Admissions

Admission to University of the Potomac's MS in Computer Science - AI Concentration generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions