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Master's in AI
On-Campus, Online

Drexel University

MS in Artificial Intelligence and Machine Learning

  • Philadelphia
About This Program

This interdisciplinary program offers applied and computational tracks to prepare practitioners for building intelligent systems using state-of-the-art tools and real-world datasets.

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What You'll Learn

Students develop expertise in mathematical foundations, algorithmic principles, and software engineering to design, implement, and evaluate complex AI and machine learning processes.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum is organized around three focus areas: data science and analytics, theory of computation, and AI applications, culminating in a two-term capstone project.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning 3. Natural Language Processing 4. Computer Vision 5. Reinforcement Learning 6. Artificial Neural Networks
Program Specializations:
Deep Learning
Natural Language Processing (NLP)
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and knowledge of probability and statistics. GRE is recommended for international students or those with GPA below 3.0.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Recommended (for GPA below 3.0 or international students)
• 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.

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Career Opportunities in AI

Advance as Data Scientist in Cross-Industry AI with software engineering expertise

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. Computer Vision Engineer
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, and Meta.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 65,970
Format
On-Campus, Online
Specializations
Deep Learning
Natural Language Processing (NLP)
Official Resources
Program Website
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