M.A. in AI and Language

The information on this page is preliminary and subject to change.

Students who pursue a two-year research-intensive M.A. in Digital Studies of Language, Culture, and History will specialize in one of the following four areas and will do a thesis project in that area under the supervision of a faculty advisor:

In their first year, students will take the six core courses required for the one-year M.A. plus three courses related to their specialization. In their second year, students will take eight additional courses related to their specialization and a thesis-preparation course, for a total of 18 courses.

Required Courses for the M.A. in AI and Language

For the M.A. specialization in Artificial Intelligence (AI) and Language, students must take the following two courses in either their first year or their second year:

    • LING 38620, Computational Linguistics II (Winter)
    • DIGS 30006, Artificial Intelligence and the Humanities (Spring)

In addition, students will take seven courses of their choice in linguistics, philosophy, psychology, or computational methods, plus two courses on any subject of interest. Note that some courses may have enrollment restrictions or prerequisites that prevent Digital Studies M.A. students from taking them.

Students will normally register for DIGS 30008, Thesis Preparation, as one of their three courses in the Spring Quarter of their second year. This entails regular meetings with the faculty thesis advisor and the Forum staff advisor(s) and is intended to give students additional time to complete the thesis project. However, the Director of Curriculum and Instruction of the Forum for Digital Culture may grant permission to substitute another course instead of DIGS 30008, as long as it does not hinder the completion of the thesis project.

Typical Schedule of Courses

Here is a typical schedule of courses for the two-year M.A. specialization in AI and Language:

Year One Autumn Quarter

    • DIGS 30001, Introduction to Computer Programming with Python
    • DIGS 30002, Data Analysis I: Introduction to Statistics
    • DIGS 30003, Data Management for the Humanities

Year One Winter Quarter

    • DIGS 30004, Data Analysis II: Data Visualization and Machine Learning
    • DIGS 30007, Introduction to Digital Humanities
    • LING 38620, Computational Linguistics II

Year One Spring Quarter

    • DIGS 30005, Data Publication for the Humanities
    • DIGS 30006, Artificial Intelligence and the Humanities
    • Course in linguistics, philosophy, psychology, or computational methods

Year Two Autumn Quarter

    • Course in linguistics, philosophy, psychology, or computational methods
    • Course in linguistics, philosophy, psychology, or computational methods
    • Course in linguistics, philosophy, psychology, or computational methods

Year Two Winter Quarter

    • Course in linguistics, philosophy, psychology, or computational methods
    • Course in linguistics, philosophy, psychology, or computational methods
    • Course on any subject of interest

Year Two Spring Quarter

    • DIGS 30008, Thesis Preparation
    • Course in linguistics, philosophy, psychology, or computational methods
    • Course on any subject of interest

Faculty Committee

The following faculty members oversee the M.A. specialization in AI and Language:

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