NH

Master's in AI
Hybrid

New England College

Executive MS in Artificial Intelligence

  • Henniker
About This Program

A hybrid graduate program for professionals combining technical AI mastery with executive leadership training through residencies and internships.

Student Reviews
Write a Review
What You'll Learn

Students master machine learning, deep learning, natural language processing, and robotics to solve complex business and technical challenges ethically.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 36-credit curriculum includes core modules in data visualization, database theory, intelligent systems, and an integrated internship for practical experience.
Typical Course Topics
1. Machine Learning Fundamentals and Algorithms 2. Deep Learning and Neural Networks 3. Natural Language Processing and Computer Vision 4. AI Ethics, Bias, and Responsible AI Implementation 5. Business Applications and AI Strategy Development 6. Data Analysis and Predictive Modeling
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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].
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

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

Estimated Industry Salary
AI/Machine Learning Specialist: $120,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Strategy Manager or Consultant 3. Data Scientist 4. AI Product Manager
Top AI Employers (Industry-Wide):
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.
Explore AI Career Paths
Program Details
Duration
  • 1.67 Year
Tuition
  • 17,460
Format
Hybrid
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
Request Information