University of Wisconsin–Milwaukee
MS in Computer Science - AI, ML and NLP
How this program compares
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Admission Snapshot
Typical admitted student: 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 coursework in data structures, algorithms, and linear algebra.
About This Program
A rigorous graduate program designed for students wishing to gain an advanced understanding of the principles and practices of modern computing.
Career Outcomes
Lead as NLP Engineer in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. NLP Engineer
- 4. Data Scientist (AI/ML focus)
What You'll Learn
- Design and implement machine learning models for predictive analytics and pattern recognition.
- Develop natural language processing systems for text analysis, sentiment detection, and language generation.
- Apply deep learning techniques to computer vision and generative AI applications.
- Optimize AI algorithms for scalable, real-world data processing and deployment.
Curriculum Highlights
The curriculum offers tracks in artificial intelligence, machine learning, and natural language processing, requiring a 30-credit thesis or 31-credit non-thesis option.
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, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in data structures, algorithms, and linear algebra.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional or Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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