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
Morgan Evans '17
Morgan Evans is a PhD student at the School of Computer Science at Carnegie Mellon University, researching natural language processing on privacy policies. She published and presented a portion of her Senior Project, "An Evaluation of Constituency-based Hyponymy Extraction from Privacy Policies," at IEEE's 25th International Requirements Engineering Conference in Lisbon, Portugal. While a student at Bard, she was a research assistant in the Memory Dynamics Lab and a student fellow at the Hannah Arendt Center for Politics and Humanities.