Marquette 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: Requires a bachelor's degree in a related field such as computer science, mathematics, or engineering, with a minimum GPA of 3.0, and relevant programming or quantitative background; GRE is often optional.

About This Program

This online interdisciplinary program addresses the demand for data science talent through a mission-oriented curriculum of theory-based and hands-on analytics courses.

Career Outcomes

Excel as Data Scientist in Cross-Industry AI with machine learning expertise

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

What You'll Learn

• Design and implement machine learning models for predictive analytics.
• Analyze large datasets using advanced statistical and computational techniques.
• Apply deep learning frameworks to solve real-world AI problems.
• Develop scalable data pipelines and visualization tools for insights.

Curriculum Highlights

The 33-credit hour program includes 18 core credits and a specialized track focused on machine learning and predictive modeling techniques.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and Meta, along with finance firms and AI startups.

Admissions

Requires a bachelor's degree in a related field such as computer science, mathematics, or engineering, with a minimum GPA of 3.0, and relevant programming or quantitative background; GRE is often optional.

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+)