Robert Morris University

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, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience and prerequisites in calculus, linear algebra, and statistics are often expected.

About This Program

This master’s degree fulfills the demand for AI and ML professionals by covering theoretical concepts and practical implications in various platforms.

Career Outcomes

Advance as Machine Learning Engineer in Cybersecurity AI with machine learning expertise

• 1. AI Engineer
• 2. Machine Learning Engineer
• 3. Data Scientist
• 4. AI Solutions Architect

What You'll Learn

• Design and implement machine learning models for real-world applications
• Apply deep learning techniques to process and analyze complex data
• Develop AI systems incorporating natural language processing and computer vision
• Evaluate ethical implications and biases in AI technologies

Curriculum Highlights

The 30-credit program covers AI models, database for data science, machine learning, AI ethics, and specialized topics like natural language processing.

Top Employers

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

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience and prerequisites in calculus, linear algebra, and statistics are often expected.

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 or Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)