Related Majors

Undergraduates also can explore related topics through the departments of Electrical Engineering and Computer Sciences and Statistics. 

Computer Science (College of Letters and Science)

The Computer Science Bachelor of Arts in the Electrical Engineering and Computer Sciences department includes the theory of computation, the design and analysis of algorithms, the architecture and logic design of computers, programming languages, compilers, operating systems, scientific computation, computer graphics, databases, artificial intelligence and natural language processing. 

The goal is to prepare students both for a possible research career and long-term technical leadership in industry. We must therefore look beyond today's technology and give students the big ideas and the learning skills that will prepare them to teach themselves about tomorrow's technology.

The Computer Science Bachelor of Arts in the Electrical Engineering and Computer Sciences department includes the theory of computation, the design and analysis of algorithms, the architecture and logic design of computers, programming languages, compilers, operating systems, scientific computation, computer graphics, databases, artificial intelligence and natural language processing. 

The goal is to prepare students both for a possible research career and long-term technical leadership in industry. We must therefore look beyond today's technology and give students the big ideas and the learning skills that will prepare them to teach themselves about tomorrow's technology.

Statistics Major

Statisticians help to design data collection plans, analyze data appropriately and interpret and draw conclusions from those analyses. The central objective of the undergraduate major in Statistics is to equip students with consequently requisite quantitative skills that they can employ and build on in flexible ways.

StatisticsMajors are expected to learn concepts and tools for working with data and have experience in analyzing real data that goes beyond the content of a service course in statistical methods for non-majors. Majors should understand [1] the fundamentals of probability theory, [2] statistical reasoning and inferential methods, [3] statistical computing, [4] statistical modeling and its limitations, and have skill in [5] description, interpretation and exploratory analysis of data by graphical and other means; [6] graduates are also expected to learn to communicate effectively.