Johns Hopkins University
MSE in Computer Science (AI/HLT Track)
How this program compares
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Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in algorithms, data structures, and linear algebra.
About This Program
This residential program offers an in-depth computer science education with a specialized track in artificial intelligence and human language technology, focusing on theoretical foundations and practical applications.
Career Outcomes
Position as NLP Engineer in Cross-Industry AI with machine learning expertise
- 1. AI Research Scientist
- 2. NLP Engineer
- 3. Machine Learning Engineer
- 4. Computational Linguist
What You'll Learn
- Design and implement advanced machine learning models for AI applications.
- Develop natural language processing systems for text analysis and generation.
- Apply deep learning techniques to human language technologies.
- Evaluate and optimize large language models for multilingual tasks.
Curriculum Highlights
The MSE requires eight graduate-level courses, including a majority within the computer science department, with opportunities for specialized research or advanced projects in the AI/HLT track.
Top Employers
Top employers include Google, Meta, OpenAI, Microsoft, and Amazon AI research labs.
Admissions
A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in algorithms, data structures, and linear algebra.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.0+)
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