Pace University

How this program compares

Budget-wise, $38.1K puts this master's program at the 58th percentile on cost — roughly 11% below the $42.9K average across 394 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

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. Coursework concentrates on Machine Learning and Data Science & Analytics. Most students complete it in about 2 years.

Apply machine learning algorithms to real-world datasets for predictive modeling.

At roughly $38.1K total, Pace University's Online MS in Data Science sits below the $42.9K average among AI master's programs we track — the 58th percentile on price. That puts it in the mid-range on price among comparable programs.

It is one of 56 AI-related programs we track in New York, of which about 43% offer an online option. On price, it comes in cheaper than about 59% of the New York programs in our data, where typical tuition runs near $59.9K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Career Outcomes

The Online MS in Data Science at Pace University (New York, New York) is oriented toward Data Scientist hiring, with alumni reporting pay near $120,000. Its focus on Machine Learning and Data Science & Analytics maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Pace University's Online MS in Data Science generally expects a bachelor's degree. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions