University of the Potomac

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

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.

Career Outcomes

Advance as AI Engineer in Cross-Industry AI with machine learning expertise

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)