9 Spring 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 spring 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

The Cyber World: Governance, Threats, Conflict, Privacy, Identity, and Commerce

Explore the technical and political underpinnings of an internet-connected society—and the interplay between the cyber and physical worlds. You will also gain the tools you need to understand, use, and manage various technologies.

How to Assess and Communicate Risk in Information Security

Learn how to assess security risks and translate your assessments into recommendations. Become skilled in effectively communicating these risks to business decision makers.

Processing Big Data

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

Fundamentals of Data Science

Master the principles of exploring and visualizing data. And become equipped with the underlying concepts and practical skills required to start a career in data science.

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

Taught by MIT professors, this course is a primer in big data. You explore such topics as data collection and storage, extraction, and analytics. You'll also consider the complexities surrounding data and the internet of things, and the challenges of security in a virtual world.

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.

Python for Data Science

Apply your programming skills and perform statistical modeling and analysis to solve interesting contemporary data problems. You will also work toward mastering data management with Pandas and creating interactive data visualizations with Bokeh.

Understanding Real-World Implications

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

Wearable Technologies and the Internet of Things

Explore the growing field of wearable technologies and its exciting applications in medicine, sports, fitness, and entertainment. You will review aspects of wearable technologies—such as software, architecture, and UX design—as well as current and proposed uses for it.

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.

Building the Brain: A Survey of Artificial Intelligence

Immerse yourself in the history of AI and robotics while pondering what AI is, what it is not, how it compares to real brains, and where it falls short.

Interested in taking a course in spring 2018?

Spring registration is November 13 through January 21. Degree candidates may register early starting November 9. Learn how to register

Looking for more courses?

We’re offering more than 400 courses in over 50 subjects this spring.

Browse spring courses

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