"The curriculum is designed to cover the spectrum of learning needed to achieve domain area expertise in Applied Data Science. The courses are chosen to be both cross-cutting, i.e., intermixing students from across the university in fundamental Data Science concepts such as scripting and statistics, and domain area focused, such as those related to engineering & physical sciences, health, and business."
(Provided by Case Western Reserve University)
More About Data Science - Analytics
Shepherd’s Data Analytics program is designed to develop students who have advanced capacity to derive knowledge from data and to communicate an understanding of that knowledge. This includes skill in data collection, preparation, representation using mathematics, and storage and retrieval. It involves selection of and processing with appropriate methods, development and analysis of algorithms, and implementation in computer programming languages.
(Provided By: Shepherd University)
"The coursework at our school of business produces data analysts with the necessary training and problem-solving skills to thrive in any business environment. Career possibilities include titles such as data technicians, data scientists, and business analysts in the fields of finance, banking, forensics, logistics, marketing, healthcare, manufacturing, information technology, and government organizations."
(Provided By: William Peace University)
"The intercollege Data Sciences major will educate students on the technical fundamentals of data sciences, with a focus on developing the knowledge and skills needed to manage and analyze large scale unstructured data to address an expanding range of problems in industry, government, and academia. The underlying knowledge for data sciences derives from machine learning, data mining, computer science, statistics, and visualization, and the emerging science of managing and analyzing data at scale."
(Provided by: Penn State University)
"Research in data science at Princeton integrates three strengths: the fundamental mathematics of machine learning; the interdisciplinary application of machine learning to solve a wide range of real-world problems; and deep examination and innovation regarding the societal implications of artificial intelligence, including issues such as bias, equity, and privacy."
(Provided by: Princeton University)
"Start with a solid foundation in computer science and mathematics. You’ll get an in-depth knowledge of programming and computer architecture, just like all Computer Science majors. From there you can choose electives and an internship that are best suited to your career interests."
(Provided by: Edinboro University)
"Data analytics is the application of powerful new methods—drawn from computer science, mathematics and statistics, and domain sciences—to collect, curate, analyze, discover and communicate knowledge from “big data.”
(provided by Washington State University)
"The curriculum is designed to cover the spectrum of learning needed to achieve domain area expertise in Applied Data Science. The courses are chosen to be both cross-cutting, i.e., intermixing students from across the university in fundamental Data Science concepts such as scripting and statistics, and domain area focused, such as those related to engineering & physical sciences, health, and business."
(Provided by Case Western Reserve University)
UC Berkeley: Data Science
University of Houston-Downtown: Data Science
University of New Haven: Business Analytics
UC Santa Cruz - Applied Mathematics
Juniata College: Why Study Data Science?
