Tulane University
MS in Computer Science - AI & ML Track
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $63.8K in total tuition, the MS in Computer Science - AI & ML Track sits about 50% above the $42.4K average for AI master's programs in our database β placing it in the 80th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: 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 programming, linear algebra, and calculus. Relevant work experience or research in AI/ML is preferred but not mandatory.
About This Program
This online graduate program offers a solid foundation in computer science while allowing for specialized study in artificial intelligence and machine learning. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.
Estimated total tuition is $63.8K, above the $42.4K average for AI master's programs in our database and in the 80th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Thrive as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.
Career Outcomes
Thrive as Machine Learning Engineer in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. Computer Vision Engineer
What You'll Learn
- Design and implement supervised and unsupervised machine learning models.
- Develop deep neural networks for complex data patterns.
- Apply AI techniques to real-world problems like computer vision and NLP.
- Optimize algorithms for scalable AI systems and ethical deployment.
Curriculum Highlights
The curriculum consists of core breadth courses in algorithms and systems, followed by elective depth coursework in AI and machine learning.
Top Employers
Top employers include Google, Amazon, Microsoft, Meta, and AI research labs at companies like OpenAI and NVIDIA.
Admissions
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 programming, linear algebra, and calculus. Relevant work experience or research in AI/ML is preferred but not mandatory.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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