New England College

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

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.

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+)