York College of Pennsylvania

How this program compares

At an estimated $20.9K in total tuition, the MS in Analytics and Applied AI sits roughly 51% below the $42.4K average for AI master's programs in our database — placing it in the 29th percentile on cost among the 531 we track at this level. It is one of the 57% 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, statistics, mathematics, or engineering is required, along with a minimum GPA of 3.0 and relevant quantitative coursework. GRE scores are often optional, with preference for applicants demonstrating programming or data analysis experience.

About This Program

This online program equips students with the skills to harness data and cutting-edge technologies to drive informed business decisions across various industries. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.

Estimated total tuition is $20.9K, below the $42.4K average for AI master's programs in our database and in the 29th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Excel as Data Scientist in Business AI with data visualization expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $130,000.

Career Outcomes

Excel as Data Scientist in Business AI with data visualization expertise

• 1. Data Scientist
• 2. AI/ML Engineer
• 3. Business Intelligence Analyst
• 4. Predictive Analytics Specialist

What You'll Learn

• Develop and deploy machine learning models for real-world analytics problems.
• Analyze large datasets using advanced statistical and AI techniques.
• Apply AI solutions to business optimization and predictive forecasting.
• Evaluate ethical implications and biases in AI systems.

Curriculum Highlights

The 30-credit curriculum includes core courses in data-driven management, big data technology, and applied AI, adaptable for both full-time and part-time students.

Top Employers

Top employers include tech firms like Google, Amazon, and Microsoft, along with consulting companies such as Deloitte and Accenture, and industries like finance and healthcare.

Admissions

A bachelor's degree in a related field such as computer science, statistics, mathematics, or engineering is required, along with a minimum GPA of 3.0 and relevant quantitative coursework. GRE scores are often optional, with preference for applicants demonstrating programming or data analysis experience.

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+)