MA

Master's in ML
Online, Hybrid

Northeastern University

Master of Professional Studies in Applied Machine Intelligence

  • Boston
About This Program

This multidisciplinary program focuses on applying AI models and algorithms to solve complex business problems across various industries.

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What You'll Learn

Students gain skills in data management, machine learning, data visualization, and human literacy for AI implementation.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum features an introductory core, advanced AI education, and concentrations in healthcare, finance, or business.
Typical Course Topics
1. Applied Artificial Intelligence 2. Applied Machine Learning 3. Applied Natural Language Processing 4. Applied Computer Vision 5. Deep Learning Algorithms 6. AI Ethics and Governance
Program Specializations:
Natural Language Processing (NLP)
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in a related field such as computer science, engineering, or data science with a minimum GPA of 3.0 is required; relevant work experience or technical prerequisites in programming and mathematics are often preferred.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• 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
• Transcripts: 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

Lead as Product Analyst in Business AI with machine learning expertise

Estimated Industry Salary
AI/ML Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Engineer 2. Machine Learning Specialist 3. Data Scientist 4. AI Solutions Architect
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, Microsoft, and IBM, as well as consulting firms and AI startups.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 54,315
Format
Online, Hybrid
Specializations
Natural Language Processing (NLP)
Computer Vision
Official Resources
Program Website
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