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Degrees & Certificates

M.A. in Digital Humanities Program

The M.A. in Digital Humanities program will provide students with both the practical skills and the humanistic knowledge needed to work on digital humanities-related projects in universities, libraries, museums, and the non-profit sector. Digital humanists use a variety of technological tools and platforms to explore humanities subjects. They employ maps to diagram the action that takes place in novels; use network analysis software to explore relations between historical figures; prototype advanced platforms for scholarly communication; study social media and its effects on human expression and coordination; and analyze text and images through computational tools.

We offer three areas of study: textual analysis, data visualization and mapping, and digital pedagogy. In our program, students learn to think critically about digital platforms as they begin to use them. Our students gain programming skills in the context of their digital projects, with the support of a large community of fellow practitioners behind them. The program includes an optional internship course that offers valuable experience in applying DH skills in a professional context. Throughout their coursework, students balance critical study of technology with substantive study of humanities subjects.

Find out more about the M.A. in Digital Humanities Program.

M.S. in Data analysis and visualization Program

Data — its production, curation, analysis, and visualization — impacts every area of modern society. More and more of our everyday decisions are guided by computational processing of big data. Computers recommend what route should we take, what news should we read, whom we should follow on social networks, and what music we should listen to. Our program allows students to better understand how data operates in society and how it can be curated and presented.

We offer three areas of study: data analysis, data visualization, and data studies. Across all of these classes, we move from fundamental concepts and methods to more advanced methods. We focus on analyzing real-world datasets and creating effective and engaging visualizations. Coursework will help students understand longer historical trends that drive the adoption of computers, networks, and data analysis in a society, and this will help them to anticipate future trends. Graduates will be able to work in the industry (data analysis, data and information visualization) or to pursue doctoral studies in a range of related disciplines.

We combine data analysis and visualization — two practices closely aligned in practice but rarely taught together. We help students gain practical skills in working with data and the theoretical skills to anticipate the future use of data in society, and to understand the possibilities, implications, and limitations of data.

Find out more about the M.S. in Data Analysis and Visualization Program.

The Interactive Technology and Pedagogy certificate program

The Interactive Technology and Pedagogy certificate program is designed to provide intellectual opportunities and technical training that enable Graduate Center students to think creatively and critically about the uses of instructional technology to improve teaching and learning. It aims to better prepare students for life and work in the contemporary university and advances students’ skills as creators and users of technology-based educational resources. The interdisciplinary faculty and curriculum provides theoretical, historical, philosophical, literary, and sociological perspectives on technology and pedagogy and their intersection in the classroom.

Find out more about the Interactive Technology and Pedagogy certificate program.

Computational Linguistics M.A. Program

The M.A. in Computational Linguistics prepares linguistics students for challenging careers in industrial and research settings. In fact, there are many companies and research centers in the greater New York area that are focused on Internet search engine technologies, human speech recognition and synthesis, extracting and mining information available online, designing software that can analyze/process human writing, or developing educational applications.  The program is designed for students with only basic familiarity with computers or programming, and the curriculum is designed to provide students with a core set of programming skills, solid foundation in major sub-­fields of linguistics, and an understanding of modern developments in the field of computational linguistics.

Find out more about the M.A. in Computational Linguistics Program.

Computer Science Ph.D. Program

The Ph.D. Program in Computer Science at The City University of New York’s Graduate Center is designed to prepare selected students for leadership in industrial and research careers – and for teaching in academia.

The City University of New York (CUNY) Ph.D. Program in Computer Science is conducted as a consortium of the senior colleges within the CUNY system, as well as the Graduate Center. The Graduate Center is the only institution chartered to grant the Ph.D. Located in mid-town Manhattan, the Graduate Center functions as the hub, both academically and administratively, of the Program. The other principal participant CUNY colleges, as of January 2011, are Brooklyn College, City College, The College of Staten Island, Hunter College, Lehman College, and Queens College.

Ph.D. courses are given at the Graduate Center – as well as seminars, special-topics classes and lectures and colloquia. Lab-oriented courses tend to be offered at the senior colleges. It is not uncommon – after the first year of study – for Ph.D. students to divide their time between the Graduate Center and one or more of the CUNY senior colleges (usually at their advisor’s home campus).

Find out more about the Ph.D. Program in Computer Science.

Courses in Computational Methods and Digital Cultures

Each semester, a number of courses focused on computational practices and digital cultures are offered across The Graduate Center’s doctoral, master’s, and certificate programs. Topics covered in these courses range from data visualization to natural language processing to statistical analysis and provide hands-on opportunities for GC students to develop their digital research skills. Follow the below links to check out these courses from past and upcoming semesters. Courses are listed in alphabetical order by program along with a brief description. Interested students should contact individual programs if they have questions regarding course content/prerequisites or if permission is required.