Neumont College of Computer Science

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, along with programming experience and coursework in linear algebra, calculus, and statistics.

About This Program

A virtual 18-month master's program designed for working professionals to master the design and development of advanced AI systems and algorithms.

Career Outcomes

Advance as Machine Learning Engineer in Cross-Industry AI with natural language processing expertise

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

What You'll Learn

• Design and implement machine learning models for predictive analytics.
• Develop deep learning systems for image and language processing.
• Apply AI techniques to solve real-world problems in automation and decision-making.
• Evaluate ethical implications and biases in AI systems.

Curriculum Highlights

The project-based curriculum focuses on Python, ML.NET, data analysis, and includes a capstone project applicable to the student's current employer.

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, along with programming experience and coursework in linear algebra, calculus, and statistics.

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+)