The 5th Year Master's in Machine Learning allows Carnegie Mellon undergraduates to earn a MS degree in one additional year by taking some of the required ML courses as an undergraduate.
Masters
The world's first and top-ranked machine learning program gives students the tools they need to solve real-world problems by using advanced machine learning techniques and developing their own learning algorithms. This program includes three semesters of courses, plus an internship in industry or research with our world-class, interdisciplinary faculty. It strengthens students' skills in computer science and statistics to provide exceptional training for future leaders in the field.
The Master of Science in Language Technologies is a research-oriented degree in the areas of speech processing, language processing, information retrieval, machine translation and machine learning. Most MLT students are affiliated with an advisor's research project, in which they gain hands-on experience with advanced research and state-of-the-art software. An optional master's thesis project may also be chosen.
The Master of Science in Intelligent Information Systems (MIIS) degree focuses on recognizing and extracting meaning from text, spoken language, video, and other forms of unstructured information. It provides deep exposure to content analysis and machine learning.
The Master of Computational Data Science (MCDS) degree concentrates on the application of the scientific method to very large data systems. The degree focuses on scientific experimental design, data collection, data modeling and analysis, problem solving, and human-computer interaction. These problem areas are addressed through a core Computer Science curriculum consisting of software engineering, machine learning, statistics, and large scale distributed systems, storage systems, etc. The degree trains technologists to create new large scale data science systems.
The Master of Science in Information Technology - Privacy Engineering (MSIT-PE) degree is a 12- or 16-month program designed for computer scientists and engineers who wish to pursue careers as privacy engineers or technical privacy managers. Designed in close collaboration with industry and government, this program is intended for students who aspire to play a critical role in building privacy into future products, services and processes.
For students interested in becoming leaders with the critical thinking skills and strategic perspective needed to solve challenges within the information and cybersecurity domains, MITS offers a multidisciplinary approach within which students obtain both breadth and depth. They receive breadth through the study of four areas: data analytics, politics and strategy, information security, and software and networked systems. Depth is achieved through a concentration in one of these four areas.
For software professionals with at least two years of experience who want to learn best practices in managing large, diverse software development projects with a focus on software architecture and software project management. The MSE program emphasizes increased industry engagement in small groups with greater elective flexibility.
This 12-month master’s program, a joint effort with the university’s Tepper School of Business, provides both the technical skills and business acumen students need to be successful in this high-demand area. A required internship and capstone project supply the practical skills students need to return to industry prepared for their new careers.
This interdisciplinary program trains students to design, develop and evaluate evidenced-based programs for learning in traditional and nontraditional settings. Graduates will be prepared to take key positions in corporations, universities and schools as designers, developers, and evaluators of educational technologies, as well as learning engineers, curriculum developers, learning technology policy-makers and even chief learning officers.
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