Maryville University of Saint Louis

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 high school diploma or equivalent is required, along with completion of College Algebra (MATH 117) as a prerequisite; a minimum GPA may be expected for program entry.

About This Program

This program provides students with the practical skills required to apply machine learning algorithms to solve problems and guide business strategies.

Career Outcomes

Gain deep learning skills to advance as Machine Learning Engineer in Cross-Industry AI

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. AI Specialist
• 4. Predictive Analytics Analyst

What You'll Learn

• Implement machine learning models using Python libraries.
• Apply supervised and unsupervised algorithms to real-world datasets.
• Design and train deep neural networks for predictive tasks.
• Evaluate model performance and optimize for accuracy and efficiency.

Curriculum Highlights

The curriculum requires 15 credits, including courses in R programming, Python, SQL, machine learning, and predictive modeling.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and IBM.

Admissions

A high school diploma or equivalent is required, along with completion of College Algebra (MATH 117) as a prerequisite; a minimum GPA may be expected for program entry.

Application Materials

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

Academic Requirements

• Degree Required: None (post-secondary certificate)
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)