Master in Language Technologies

Carnegie Mellon University, located in Pittsburgh, United States, is a unique institution that offers many advantages for international students. You will find a strong focus on innovation and research, a diverse community with over 9,000 international students, and a rich history dating back to 1900. Specifically, the university's interdisciplinary approach and collaborative environment make it an attractive choice for students looking to make a meaningful impact in their field.

The university specializes in many fields, including programs in engineering, business, and medicine, with a total of 99 programs available. You can expect to engage with renowned faculty and researchers in specific departments, such as the School of Computer Science or the College of Fine Arts. English is the primary language of instruction, providing a cohesive learning experience for all students.

As a student, you will have access to modern facilities, including libraries, labs, and recreation centers, all located on the university's campus in Pittsburgh. The city offers a unique blend of cultural attractions, outdoor activities, and industry partnerships, providing many opportunities for you to engage with the local community and gain practical experience. For instance, you can explore the city's thriving arts scene, visit local startups, or take part in outdoor activities along the three rivers that run through Pittsburgh.

The Master in Language Technologies at Carnegie Mellon University is a research-oriented degree for students who want to explore speech processing, language processing, and machine learning. This master's degree takes one year to complete and is taught in English. Students gain hands-on experience with advanced research and software.

The curriculum covers specific subjects like speech processing, language processing, information retrieval, machine translation, and machine learning. Students develop skills in research, software development, and data analysis. They also have the option to work on a master's thesis project, which helps them apply their knowledge to real-world problems.

Graduates of this program can pursue careers as Natural Language Processing Engineers, Machine Learning Engineers, Speech Recognition Engineers, or Data Scientists. They can work in industries like technology, healthcare, or finance, and can be employed by companies like Google, Microsoft, or IBM.