Grand Valley State 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: High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores are optional but recommended for competitive admission.

About This Program

A technical undergraduate degree that explores how machines simulate human intelligence through the study of computer science, mathematics, and cognitive science.

Career Outcomes

Begin Machine Learning Engineer career in Cybersecurity AI with machine learning focus

• 1. Machine Learning Engineer
• 2. AI Software Developer
• 3. Data Scientist
• 4. Computer Vision Specialist

What You'll Learn

• Design and implement machine learning algorithms for predictive modeling.
• Develop neural networks for tasks like image recognition and natural language understanding.
• Apply AI techniques to real-world problems in data analysis and automation.
• Evaluate ethical implications and biases in AI systems.

Curriculum Highlights

Grounded in computer science and software engineering, the curriculum covers machine learning, robotics, human-computer interaction, and the ethics of AI development.

Top Employers

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

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores are optional but recommended for competitive admission.

Application Materials

• Statement of Purpose: Optional
• Letters of Recommendation: Optional
• Resume: Optional
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)