Pace 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 a related field such as computer science, mathematics, or statistics with a minimum GPA of 3.0 is required; relevant work experience or quantitative coursework is often preferred.

About This Program

This graduate program teaches the application of data science methods, analytical programming, and evidence-based decision making.

Career Outcomes

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

• 1. Data Scientist
• 2. Machine Learning Engineer
• 3. Data Analyst
• 4. Data Engineer

What You'll Learn

• Apply machine learning algorithms to real-world datasets for predictive modeling.
• Design and implement data pipelines for large-scale data processing.
• Perform statistical analysis and inference to derive actionable insights.
• Create visualizations and communicate data-driven findings effectively.

Curriculum Highlights

The curriculum features core classes in database management and data mining, culminating in a practical data science capstone.

Top Employers

Top employers include Google, Amazon, Microsoft, and financial firms like JPMorgan Chase.

Admissions

A bachelor's degree in a related field such as computer science, mathematics, or statistics with a minimum GPA of 3.0 is required; relevant work experience or quantitative coursework is often preferred.

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