7 Fall 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 fall 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 the Challenges and Opportunities of Big Data, Internet of Things, and Cybersecurity

Start here for an overview of the capabilities and pitfalls of these three interrelated areas of computer science—taught by leading MIT experts in their field.

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

Understand 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.

Processing Big Data

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

Principles of Big Data Processing

Learn how to develop systems for processing large volumes of data with historical and near real-time querying capabilities. And explore the challenges and core principles of big data processing.

Big Data Analytics

Master the tools to analyze large volumes of unstructured data in flight—in other words, in near real time. Student learn basic statistical analysis tools, R and Python, and progress to big data processing technologies, Spark and TensorFlow.

Understanding Real-World Implications

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

Data Literacy in the Age of Machine Learning

Develop practical knowledge and tools to think creatively about using data and machine learning—in collaboration with data science teams—to advance business goals.

Cyberspace and International Security

Examine current and future threats to cyberspace, and study various approaches to advance and defend national interests—contrasting the US approach with European, Russian, and Chinese approaches in cyberspace.

Advanced Machine Learning, Data Mining, and Artificial Intelligence

Combine theory with hands-on practice in solving modern industry problems—with an emphasis on image processing and natural language processing. You’ll also be introduced to industry standard tools to prepare you for an artificial intelligence job.

Interested in taking a course this fall?

Registration opens July 24. Degree candidates may register early on July 20. Learn how to register

Looking for more courses?

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

Browse fall courses

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