Humanities Analytics, Minor
The Minor in Humanities Analytics
Overview
Tech CEOs and data scientists are increasingly calling for employees with more exposure to the humanities.
At the same time, the human experience that is traditionally at the core of a humanities education is being dramatically transformed by the emergence of big data, digital platforms, computational thinking, and digital connectivity.
Spurred by such developments, the minor in Humanities Analytics (HumAn) trains students in the processes involved in analyzing, digitizing, questioning, quantifying, and visualizing different types of humanities and cultural phenomena, such as printed books, fan fiction, manuscripts, historical records, art, music, and film.
The minor is open to students across multiple colleges and degree programs and enriches their education in distinct ways that complement their primary majors. For example, students with a primary major in a humanities or social science department will learn the foundational methods used in the computational analysis of text. Students with a primary major in a non-humanities field will use technology as a lens into cultural history and will develop skills for making humanities knowledge visible and appealing. The minor bridges divides not only between the "digital/technological" and the "humanistic," but also between the qualitative and quantitative, between theory and application, and between critiquing and making.
If you wish to declare a minor in Film and Visual Media, you must make an appointment to meet with the staff advisor, Laura E. Donaldson. For more information, visit our Humanities Analytics website.
Double Counting
Students who have a minor in English as well as a primary and/or an additional major in English may not double count any English courses with that minor. Otherwise, up to two courses from the minor may double count with programs outside of the English Department. Courses that meet the various requirements are advertised on a semester-by-semester basis. Full descriptions are available each semester on the Department's Courses web page.
Transfer Courses
Students may transfer in a maximum of one advisor-approved course from an institution outside of Carnegie Mellon University, with the exception of 76-275 Introduction to Critical Writing and 76-380 Methods in Humanities Analytics, to count toward a minor.
Courses that meet the various requirements are advertised on a semester-by-semester basis. Full descriptions are available each semester on the Department's Courses web page.
Curriculum
Complete 6 courses and a minimum of 54 units.
Required Courses (2 courses)18 units
| Required Courses | Units | |
| 76-275 | Introduction to Critical Writing | 9 |
| 76-380 | Methods in Humanities Analytics | 9 |
Core Courses (2 courses)18 units
| Core Courses | ||
| 76-314 | Data Stories | 9 |
| 76-388 | Coding for Humanists | 9 |
| 76-425 | Rhetoric, Science, and the Public Sphere | 9 |
| 76-429 | Introduction to Computational Humanities | 9 |
| 88-275 | Bubbles: Data Science for Human Minds | 9 |
| 88-300 | Programming and Data Analysis for Social Scientists | 9 |
Electives (2 courses)18 units
Choose two courses from the following categories. One course must come from List A, and one from List B. Additional courses not on List A or List B may also be approved as electives; please speak with the Department of English academic advisor for more information.
List A - Choose one
| 05-391 | Designing Human Centered Software | 12 |
| 05-434/11-344 | Machine Learning in Practice | 12 |
| 11-411 | Natural Language Processing | 12 |
| 11-441/741 | Machine Learning with Graphs 1 | 9 |
| 15-104 | Introduction to Computing for Creative Practice | 10 |
| 15-110 | Principles of Computing | 10 |
| 16-223 | IDeATe Portal: Creative Kinetic Systems | 10 |
| 16-385 | Computer Vision | 12 |
| 17-450 | Crafting Software | 12 |
| 17-562 | Computer and AI Law | 9 |
| 19-713 | Policies of Wireless Systems | 12 |
| 36-202 | Methods for Statistics & Data Science | 9 |
| 36-204 | Discovering the Data Universe | 3 |
| 36-226 | Introduction to Statistical Inference | 9 |
| 36-311 | Statistical Analysis of Networks | 9 |
| 36-315 | Statistical Graphics and Visualization 2 | 9 |
| 36-350 | Statistical Computing 2 | 9 |
| 36-462 | Special Topics: Statistical Machine Learning | 9 |
| 48-095 | Spatial Concepts for Non-Architecture Majors | Var. |
| 48-120 | Digital Media I | 6 |
| 51-229 | Digital Imaging | 9 |
| 53-451 | Research Issues in Game Development: Designing for XR | 12 |
| 60/62-142 | Digital Photography I | 10 |
| 60-427 | Advanced ETB: Open Studio | 10 |
| 62-142 | Digital Photography I | 10 |
| 62-150 | IDeATe Portal: Introduction to Media Synthesis and Analysis | 10 |
- 1
Course is very mathematical and is therefore appropriate only to students with such a preparation.
- 2
This course has prerequisites.
List B - Choose one
| 76-210 | Banned Books | 9 |
| 76-245 | Shakespeare: Tragedies & Histories | 9 |
| 76-247 | Shakespeare: Comedies and Romances | 9 |
| 76-318 | Communicating in the Global Marketplace | 9 |
| 76-325 | Intertextuality | 9 |
| 76-373 | Argument | 9 |
| 76-389 | Rhetorical Grammar | 9 |
| 76-390 | Style | 9 |
| 76-476 | Rhetoric of Science | 9 |
| 79-200 | Introduction to Historical Research & Writing | 9 |
| 79-234 | Technology and Society | 9 |
| 79-305 | Global Perspectives in LGBTQ+ History | 9 |
| 80-180 | Introduction to Linguistics | 9 |
| 80-280 | Linguistic Analysis | 9 |
| 80-381 | Meaning in Language | 9 |
| 80-383 | Language in Use | 9 |
| 82-282 | Interpreting Global Texts & Cultures | Var. |
| 82-283 | Language Diversity & Cultural Identity | 9 |
| 82-383 | Second Language Acquisition: Theories and Research | 9 |
| 82-480 | Translation Technologies | 9 |