Walsh College

How this program compares

At an estimated $30.5K in total tuition, the MS in Artificial Intelligence and Machine Learning sits roughly 28% below the $42.4K average for AI master's programs in our database — placing it in the 48th 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: Applicants must hold a bachelor's degree in computer science, engineering, mathematics, or a related quantitative field, with a minimum GPA of 3.0. A strong background in programming, linear algebra, and calculus is expected; GMAT/GRE may be required or recommended depending on program specifics.

About This Program

This master’s degree equips professionals with advanced skills in AI and machine learning to design intelligent systems and automate processes across various industries. Coursework concentrates on Natural Language Processing (NLP) and Computer Vision. Most students complete it in about 1 year.

Estimated total tuition is $30.5K, below the $42.4K average for AI master's programs in our database and in the 48th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Thrive as Data Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $115,000.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. AI Research Scientist
• 4. Software Developer (AI/ML specialization)

What You'll Learn

• Design and implement machine learning models using supervised and unsupervised learning techniques
• Develop deep learning architectures for complex pattern recognition and prediction tasks
• Apply statistical methods and Bayesian inference to data-driven decision-making
• Deploy AI/ML solutions in real-world applications including healthcare, finance, and technology sectors

Curriculum Highlights

The curriculum focuses on hands-on experience with predictive modeling, machine learning algorithms, and the latest AI tools, taught by experienced industry-aligned faculty.

Top Employers

Top employers in this field include technology companies like Google, Microsoft, Amazon, Meta, as well as financial services firms, healthcare organizations, and consulting companies like Accenture that develop AI-driven solutions.

Admissions

Applicants must hold a bachelor's degree in computer science, engineering, mathematics, or a related quantitative field, with a minimum GPA of 3.0. A strong background in programming, linear algebra, and calculus is expected; GMAT/GRE may be required or recommended depending on program specifics.

Application Materials

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

Academic Requirements

• Degree Required: Master of Science (MS)
• GRE/GMAT: Required or Recommended
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)