9 Courses on Big Data, Internet of Things, and Cybersecurity

Advances in Internet of Things technology and artificial intelligence promise a future of interconnectivity and automation. But with all of its convenience and novelty, this technology brings along challenges of big data storage and processing, as well as privacy and security.

If you’re interested in diving deeper than the tech headlines, these courses explore the complexities of an internet-connected society, and prepare you with the skills to succeed in the industry.

Getting Started

7 Fall Courses on Big Data, Internet of Things, and Cybersecurity

Introduction to Computer Science Using Java I

Learn how to design, code, debug, and document programs using modern engineering techniques in a cloud-based Linux environment.

Intensive Introduction to Computer Science

Discover how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. 

Processing Big Data

7 Fall Courses on Big Data, Internet of Things, and Cybersecurity

Data Mining for Business

Build a basic understanding of data science principles and how data science improves business outcomes. Through case studies, you'll learn practical ways that data can be used to inform decisions.

Principles of Big Data Processing

Learn the core principles of building highly distributed, highly available systems for processing large volumes of data with historical and near real-time querying capabilities.

Introduction to the Challenges and Opportunities of Big Data, the Internet of Things, and Cybersecurity

Review the use cases and challenges of three interrelated areas in computer science: big data, the internet of things, and cybersecurity. Gain an overview of the possibilities and challenges of building complex information systems that take advantage of recent advances in these fields. 

Elements of Data Science and Statistical Learning with R

Broaden your knowledge on various statistical learning methods and their applications. Explore topics of linear and nonlinear regression, clustering and classification, and decision trees while using the R programming language.

Understanding Real-World Implications

7 Fall Courses on Big Data, Internet of Things, and Cybersecurity

The Cyber World: Hardware, Software, Networks Security, and Management

From individual computing devices to the broader internet, students learn how each piece in this gigantic puzzle comes together to create the digital infrastructure that is the cyberspace of today and tomorrow. 

Deep Learning

Learn how to use TensorFlow—an API for neutral networks and deep learning—to create convolutional neural networks, recurrent neural networks, LSTMs, and more. You will also practice text analysis and gain an understanding of the natural language translation process.

Robotics, Autonomous Vehicles, Drones, and Artificial Intelligence

Discover the potential of machine learning and AI in creating new technologies to automate transportation, agriculture, and much more. Learn about the algorithms, code, and system architecture that enable these new technologies. 

Interested in taking a course in spring?

Fall registration is open through August 29. Learn how to register

Looking for more courses?

Browse the course catalog

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