This interdisciplinary master’s program provides advanced knowledge in AI principles, emphasizing experiential learning and problem solving for various application domains like defense and healthcare.
Students gain in-depth knowledge of neural networks, deep learning, and cognitive computing. They learn to design and execute AI-driven projects to address real-world industrial and societal challenges.
β’ Degree Required: Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field
β’ GRE: Required
β’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
β’ Statement of Purpose: Required
β’ Letters of Recommendation: 2β3
β’ Resume: Required
β’ Official Transcripts: Required
Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.
Position as AI Engineer in Cross-Industry AI with machine learning expertise