Prepare yourself with new in-demand skills necessary to compete in the global marketplace. In the age of information, the use of business analytics has become increasingly more important in both the academic and business communities. In Walsh University’s Data Analytics major, students will learn to use their analytical abilities to transform data into insightful, actionable knowledge, leading to better decisions and better business outcomes.
This program includes select online courses taught in collaboration with other colleges across the country through our innovative partnership with Rize giving you access to a wide range of incredible instructors and more flexible scheduling options.
Source: U.S. Bureau of Labor Statistics: Occupational Outlook Handbook
View complete list of admission requirements.
Review the complete BS in Data Analytics Program Curriculum Outline.
Please contact the Office of Degree Completion at degreecompletion@walsh.edu
*Factoring in work experience, transfer credits, and aid. Every student’s situation is different. For a customized estimate, please contact the Office of Admissions.
This course, built in collaboration with Google, provides a gentle, but thorough, introduction to programming using Python. You will learn the core concepts and techniques needed to create programs and perform basic data analysis. By the end of this course, you’ll be ready to pursue further study in computer science and unlock more advanced programming courses. This online class has optional live sessions.
To thrive in today’s digital world, you need to understand the system that powers it. This course, built in collaboration with Google, will open you up to the creation of the internet and show you how it works. This class focuses on hands-on learning to teach important topics like cybersecurity, networking, and programming. By the end, you’ll be able to evaluate your options for a rewarding career in technology. At minimum, you’ll be a much wiser network citizen.
In an increasingly data-driven world, everyone should be able to understand the numbers that govern our lives. Whether or not you want to work as a data analyst, being “data literate” will help you in your chosen field. In this course, you’ll learn the core concepts of inference and data analysis by working with real data. By the end of the term, you’ll be able to analyze large datasets and present your results. This online class has optional live sessions.
This course is based heavily on UC Berkeley’s Data 100 class. Data Analytics combines data, computation and inferential thinking to solve challenging problems and understand their intricacies. This class explores key principles and techniques of data science, and teaches students how to create informative data visualizations. It also explores particular concepts of Linear Algebra which are central to Data Science. This online class features optional live sessions. Prerequisites DAM 410: Foundations of Data Analytics I DAM 411: Foundations of Data Analytics II CSC 101: Programming for Everyone I CSC 102: Programming for Everyone II.
This practicum course serves to bridge the gap between the study of analytics in the classroom and the application of data analytics tools to real world problems. The experience must be an extension of the classroom. The skills learned must be transferable to other employer settings. Prerequisite: BUS 412.
