The future of technology will be driven by the intersection of Artificial Intelligence, Machine Learning, the Internet of Things, and Data Science.

Artificial intelligence is the theory and development of computer systems’ ability to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Machine learning is the capability in which a machine can learn by its own without being explicitly programmed. It is an application of AI that provides the system the ability to automatically learn and improve from experience. The IoT is a link made between connected devices. It allows devices to work outside of the need for human input. Data science be defined as obtaining insights and information out of data. A growing number of companies and industries are requiring talent with skillsets in these areas.

The Artificial Intelligence, Machine Learning, IoT, & Data Science Community is designed to keep students informed about relevant industry news and connect them with related opportunities.

Future of Engineering Careers: Emerging Trends and Opportunities

Engineers are at the forefront of innovation, helping advance society and solve some of our biggest problems. Every day, they push the boundaries of what’s possible in technology, construction, manufacturing, medicine, and beyond. As new technologies emerge and industry standards …

By Kelli Delfosse
Kelli Delfosse
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How to Get a Job in AI: A Beginner’s Guide to Breaking In

Artificial intelligence (AI) is rapidly transforming industries from healthcare and finance to marketing and tech, creating tons of new job opportunities. The good news for anyone wondering how to get a job in AI is that there are plenty of …

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Developing Your Product Sense

Below, we discuss improving your product sense with Shreyas Doshi, a renowned product leader who has led teams and built successful products at Stripe, Google, Yahoo, and Twitter.

What is product sense?

It’s simple. Product sense is the ability to

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Data Scientist vs. Machine Learning Engineer: Key Differences and Career Insights

Below, we explore the key differences between data science and machine learning engineer roles.

Key Takeaways
Data scientists analyze data to uncover actionable insights for solving complex business problems and predicting future trends. They typically use statistical and machine learning …

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AI Skills: What You Need to Learn to Stay Ahead

It’s predicted that artificial intelligence (AI) will likely replace some jobs, but it’ll also create new positions and become a valuable assistant for many professionals. To succeed in this new landscape, it’s important to pick up the skills needed in …

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Career Resources

McKelvey Engineering Professional Development Stipend

In an effort to provide an equitable opportunity for students to make professional connections, stay current with developments and advancements in …

Nationally Competitive Industry Graduate Fellowships & Research Internships

Below is a list of competitive industry graduate fellowships and research internships for MS and PhD students. The majority have …