LA

Bachelor's in Cybersecurity, Certificates in AI, Master's in AI, Master's in Cybersecurity, Master's in ML
Online

Tulane University

Tulane University

  • New Orleans
About This Program

This program offers advanced training in computer science with a specific focus on the development and application of AI and machine learning.

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What You'll Learn

Students learn to design and implement intelligent systems using deep learning, reinforcement learning, and transfer learning techniques.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure requires core courses in algorithms and systems, supplemented by elective depth in artificial intelligence and machine learning applications.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning and Neural Networks 3. Natural Language Processing (NLP) 4. Supervised and Unsupervised Learning 5. Reinforcement Learning 6. Computer Vision and Image Processing
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically need a bachelor's degree in computer science, mathematics, or a related field with strong performance in algorithms, linear algebra, and programming. GRE scores are usually required, and competitive programs expect demonstrated coursework in advanced mathematics and computer science.
Academic Requirements (Typical)

• Degree Required: Master’s of Science (MS)
• GRE: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 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 Machine Learning Engineer in Cross-Industry AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Machine Learning Engineer: $120,000 AI Research Scientist: $125,000 Data Scientist: $115,000 AI Systems Engineer: $118,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
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, Microsoft, Meta, Amazon, IBM, Tesla, and major research institutions and tech companies investing in AI infrastructure and development.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 63,840
Format
Online
Specializations
Machine Learning
Official Resources
Program Website
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