Montclair State University has launched the first graduate-level Computational Linguistics program in New Jersey, an interdisciplinary master’s degree that merges a love of language with technology.
The University has also introduced Social Research and Analysis to The Graduate School offerings. Montclair State is designated by the Carnegie Classification of Institutions of Higher Education as a doctoral university with high research activity and recognized by New Jersey as one of the state’s four public research universities. Both new master’s degree programs start in fall 2019.
“Montclair State University’s newest academic offerings further strengthen the institution’s commitment to preparing New Jersey’s future workforce for 21st-century careers,” says Provost and Vice President for Academic Affairs Willard Gingerich. “Students will now have new, exciting pathways to future-ready professions, and the credentials necessary to achieve success in an ever-changing economy.”
Students in New Jersey’s first and only computational linguistics master’s degree program will receive the interdisciplinary training in computer science and linguistics needed to help machines process human language – and help linguists understand language through computer models. Working with world-class faculty in the University’s new state-of-the-art Center for Computing and Information Science, students in the two-year, 32-credit program will be prepared to fill the growing need for computational linguistics professionals in the financial, insurance, scientific and technological sectors.
For-profit companies and nonprofit organizations alike are increasingly turning to data for help – whether to change public policies, market a product, or achieve sustainability. Students in the 30-credit, interdisciplinary graduate program in social research and analysis will gain the skills they need to help industry, government and communities devise data-driven, evidence-based solutions. Students will be prepared to launch careers in fields such as social science research, social policy analysis, data analysis, market research, community relations and government affairs.