New England College

How this program compares

At an estimated $17.5K in total tuition, the Executive MS in Artificial Intelligence sits roughly 59% below the $42.4K average for AI master's programs in our database — placing it in the 15th percentile on cost among the 531 we track at this level.

Admission Snapshot

Typical admitted student: Applicants typically need a bachelor's degree in computer science, engineering, mathematics, or a related technical field, with strong analytical and programming skills. Some programs may accept candidates from non-technical backgrounds with relevant professional experience and demonstrated quantitative aptitude[3].

About This Program

A hybrid graduate program for professionals combining technical AI mastery with executive leadership training through residencies and internships. Coursework concentrates on Natural Language Processing (NLP) and Machine Learning. Most students complete it in about 1.67 years.

Estimated total tuition is $17.5K, below the $42.4K average for AI master's programs in our database and in the 15th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Thrive as Machine Learning Engineer in Cross-Industry AI with natural language processing expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Thrive as Machine Learning Engineer in Cross-Industry AI with natural language processing expertise

• 1. Machine Learning Engineer
• 2. AI Strategy Manager or Consultant
• 3. Data Scientist
• 4. AI Product Manager

What You'll Learn

• Design and implement machine learning models using supervised, unsupervised, and reinforcement learning techniques
• Build deep learning systems and understand neural network architectures powering modern AI applications
• Evaluate ethical implications, societal impacts, and responsible AI deployment in business contexts
• Develop business cases and strategic frameworks for AI implementation across industries

Curriculum Highlights

The 36-credit curriculum includes core modules in data visualization, database theory, intelligent systems, and an integrated internship for practical experience.

Top Employers

Top employers for AI professionals include major technology firms like Google, Microsoft, Amazon, Meta, and IBM, as well as financial institutions, healthcare organizations, and government agencies investing in AI innovation.

Admissions

Applicants typically need a bachelor's degree in computer science, engineering, mathematics, or a related technical field, with strong analytical and programming skills. Some programs may accept candidates from non-technical backgrounds with relevant professional experience and demonstrated quantitative aptitude[3].

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional (depending on institution)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)