LA

Master's in ML
Online

Tulane University

MS in Computer Science – AI & ML Track

  • New Orleans
About This Program

This master’s program focuses on the theoretical and practical aspects of machine learning within the broader field of computer science.

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What You'll Learn

Students develop skills in deep learning, adversarial machine learning, and non-convex optimization to create reliable and transparent AI systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The coursework includes core computer science foundations and specialized modules in machine learning algorithms, reinforcement learning, and data science.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Computer Vision 5. Reinforcement Learning 6. Bayesian Machine Learning
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with strong coursework in linear algebra, calculus, probability, and programming.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• 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

Position 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
AI/ML 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. NLP Specialist
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, and Meta.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 63,840
Format
Online
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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