The option in Data Science is intended for students interested in pursuing advanced degrees and conducting original research in data science. The option in data science places its emphasis on a rigorous introduction to the theoretical mathematical and computational underpinnings of modern data science.

Program Objectives

This program has been designed to prepare students for professional careers working with data, with an emphasis on the extraction of meaning from data. The program is not targeted to any one industry; rather, it provides a flexible, practical skillset that can be applied widely. This skillset includes elements of computer science, applied mathematics and statistics, communication skills, and business savvy. Graduates of the bachelor of science in analytics and data science program are expected to have:

An understanding of the role of data in guiding decision-making in industry
An understanding of how data is generated, stored, and accessed
An understanding of data security
An understanding of the ethical use of data
An understanding of structured vs. unstructured data
An understanding of the methods, statistical and other, used to derive actionable information from data
Experience with multiple programming languages
Experience with multiple statistical and data analysis software programs
The ability to communicate detailed, technical information to a variety of audiences clearly and concisely, without the use of jargon
The ability to work effectively, both as an individual or as a member of a team
The ability to successfully lead a team
The ability to adapt to a dynamic, rapidly changing work environment
Completed projects and other work experiences on a larger scale than is typical in a bachelor's degree program.

During the course of the program, students will demonstrate their acquisition of these skills by successfully completing their program coursework, their internship experience, and their capstone project.

POTENTIAL CAREERS

Actuary
Business analyst
Consultant
Data engineer
Data scientist
Management analyst
Market research analyst
Statistician
Quantitative analyst