Program Introduction
The Master of Science in Computer Science program at Carnegie Mellon University (CMU) is a premier graduate program that provides students with in-depth knowledge and research experience in core areas of computer science. The program is designed to develop expertise in various fields including algorithms, artificial intelligence, machine learning, computer systems, programming languages, software engineering, and human-computer interaction. Students have the flexibility to customize the program according to their academic and professional goals, with opportunities to participate in cutting-edge research under the guidance of world-renowned faculty. This program is designated as a STEM (Science, Technology, Engineering, and Mathematics) field, allowing international students to benefit from up to 36 months of Optional Practical Training (OPT) after graduation. The master's program typically spans 3-4 semesters, during which students deepen their theoretical foundations and develop practical skills in computer science through coursework and research activities. Carnegie Mellon provides an environment where students are exposed to the latest trends, technical challenges, and innovative solutions through strong connections with industry and academic leaders. Additionally, students have opportunities to engage in research projects conducted in the university's various institutes, centers, and laboratories, developing research methodologies, critical thinking, and problem-solving abilities. Graduates of the program are highly valued in technology industries, research institutions, and academia, taking on leadership roles in various fields such as software engineering, data science, artificial intelligence, and research and development.
- Language of InstructionEnglish
- Program Length24 months
- Teaching MethodsOffline
- Core Courses: Algorithm design and analysis, advanced data structures, computer systems, programming language theory, machine learning foundations - Specialization Areas: Advanced courses in artificial intelligence, computer systems, theory, software engineering, human-computer interaction - Research Methodology: Research design, data analysis, paper writing, academic communication skills - Seminar Series: Attending seminars on recent research trends, industry developments, and emerging technologies - Independent Study: Individual research projects on specific topics under faculty supervision - Graduate Projects: Practical projects involving proof of concepts, prototype development, and system implementation - Internships: Opportunities for corporate internships to develop industry experience and practical skills - Collaborative Opportunities: Interdisciplinary research and projects with other departments and programs - Ethics and Professionalism: Education on ethical aspects, social impacts, and professional responsibilities in computer science - Final Project/Thesis: Comprehensive final project or thesis integrating knowledge and skills learned
Software Engineer/Developer
$115,000 ~ $145,000
Machine Learning Engineer
$125,000 ~ $155,000
Data Scientist
$120,000 ~ $150,000
Intakes | Application Deadlines |
---|---|
2025 Fall | 2024-12-11 |
Admission Requirement
- GPANo Min Score
- GRENo Min Score
100
7.5
- Online ApplicationRequired
- Official TranscriptsRequired
- 3 Letters of Recommendations Required
- Statement of PurposeRequired
- Resume/CVRequired
- GRERequired
- PortfolioOptional
- Certified English Test Score ReportRequired
Fees and Funding
$57,500/Year
$13,216/Year
$100