New England Institute of Technology

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: High school diploma or equivalent with strong performance in mathematics, computer science, and science courses is required; SAT/ACT scores are optional but recommended for competitive applicants.

About This Program

This bachelor’s degree offers a comprehensive introduction to the science and engineering of building machines capable of intelligent actions and decision-making.

Career Outcomes

Prepare Machine Learning Engineer career in Cross-Industry AI with machine learning focus

• 1. AI Engineer
• 2. Machine Learning Engineer
• 3. Data Scientist
• 4. Robotics Engineer

What You'll Learn

• Fundamental AI concepts including search algorithms and knowledge representation
• Machine learning techniques such as classification, regression, and clustering
• Natural language processing for text analysis and language understanding
• Computer vision methods for image recognition and processing

Curriculum Highlights

The curriculum covers foundational programming, data structures, and ethics, with specialized courses in AI applications, machine learning, and intelligent automation.

Top Employers

Top employers include Google, Microsoft, Amazon, IBM, and tech firms developing AI solutions.

Admissions

High school diploma or equivalent with strong performance in mathematics, computer science, and science courses is required; SAT/ACT scores are optional but recommended for competitive applicants.

Application Materials

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

Academic Requirements

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)