Requiring completion of a small, curated set of courses, a certificate offers the opportunity to explore a focused collection of computing topics.
Fundamentals of Programming
This certificate is designed for students who want to gain knowledge and
practical experience in computer programming and database management.
Specifically, you'll learn how to solve problems using algorithm-based and
logical approaches, how to implement solutions in a programming language and how
to write code that is testable and maintainable. You'll also gain practical
experience using two popular programming languages and database management
systems that are frequently used in scientific research and web applications. No
prior programming experience is required.
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Computer Security and Digital Forensics
As threats to security increase, so does the need for professionals with
backgrounds in computer and information security. Students in this 10-credit-
hour certificate program form a deeper knowledge of computer systems and digital
forensics, with a focus on network and information system security, cybercrime
and criminal justice and digital forensics and information-driven investigation
techniques. This certificate is designed to expand upon an existing foundation
of knowledge in networking and requires some programming experience.
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Data Science: Computational Analytics
Data science is used to make complex decisions in a number of data-rich domains,
such as biomedical science, defense and security, education, engineering,
geoscience, physical science and social science. As a student in this
certificate program, you'll gain a foundation in how to analyze large quantities
of data and discover the knowledge necessary to fuel cutting-edge developments.
You'll explore a variety of computational techniques and theories for developing
knowledge and understanding from data, including those grounded in machine
learning and artificial intelligence. This undergraduate certificate is ideal
for students who have completed advanced mathematics and some computer
programming coursework, as well as professionals who currently work in fields
related to data science.
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