The Computational Sciences program is an umbrella over computer science and data analytics, offering both a major and a second focus in computer science as well as a second focus in data analytics.
Computer Science focuses on fundamental ideas from the field, covering theoretical, applied, and systems-oriented topics. Most courses include hands-on projects so students can learn by building, and by participating in research projects in laboratories devoted to cognition, computational biology, robotics, and symbolic computation. Data Analytics prepares students to use data to address problems in both their major and in multidisciplinary settings, providing skills necessary to do data analysis, modeling and simulation, and data visualization, and understand how data are used to make decisions and predictions about the future. Courses also address Issues of algorithmic bias, data ethics, and the power exercised by those who control data and make decisions about its use.
Computer Science focuses on fundamental ideas from the field, covering theoretical, applied, and systems-oriented topics. Most courses include hands-on projects so students can learn by building, and by participating in research projects in laboratories devoted to cognition, computational biology, robotics, and symbolic computation. Data Analytics prepares students to use data to address problems in both their major and in multidisciplinary settings, providing skills necessary to do data analysis, modeling and simulation, and data visualization, and understand how data are used to make decisions and predictions about the future. Courses also address Issues of algorithmic bias, data ethics, and the power exercised by those who control data and make decisions about its use.
The Computational Sciences Program at Bard
The Computational Sciences Program at Bard offers three standard ways to enter the program:
- CMSC 110-119 Introduction to Computing
- CMSC 141 or 143 Object-Oriented Programming
- CMSC 201 Data Structures
Our Alumni/ae
Cyrl Kuhns '16
Cyril is a Solution Architect at UiPath, the global leader in Robotic Process Automation. In their personal life, Cyril is the Alumni Chair of The LASA Foundation, and freelances as a tattoo artist. Prior to their current role, Cyril was an Instructor and Student Coordinator for All Star Code, a non-profit connecting young men of color to the tech industry. Cyril was born in Laredo, TX, raised in Austin, and currently resides in Harlem, NYC. They received their B.A. in Mathematics and Computer Science from Bard College in 2016, after completing a joint senior project in group-based cryptography.