MIT Deep Technology Bootcamp
Technologies like Artificial Intelligence, Internet of Things, and Blockchain are rapidly changing the future of work, our economy, and how we interact with devices. Learning the skill sets necessary to manage these “deep technologies” will be crucial for thriving amidst these radically transformative changes. At the MIT Deep Technology Bootcamp, you will be immersed in these technologies and gain hands-on experience building devices that can sense, connect, infer and act. You will learn MIT’s framework for frontier technology innovation, and learn directly from experts in these fields about new trends and how to generate new innovations.
Internet of Things
Learn MIT’s approach to IoT and get hands-on experience with the four key elements of sensing, connectivity, inference, and action.
Understand about key trends in AI like adversarial networks and DeepFakes before implementing your own Deep Neural Network on a self-driving vehicle.
Gain exposure to Blockchain implementations and applications across industries.
Massachusetts Institute of Technology
*Submit Round 1 by Apr 15, 12 midnight ET (Boston Time)
June 15 - 21
The tuition includes all program costs and meals for the duration of the Bootcamp. Please note you will still be responsible for costs of travel and accommodation. Tuition is in USD. A limited number of merit-based scholarships are available to admitted candidates.
What You'll Learn
Build IoT devices that can sense, connect infer and act
Choose appropriate sensors and collect data
Use microcontrollers to transfer data from sensors to the Internet
Apply web tools to remotely analyze the data
Send processed information back to a device
Control electronic systems over the Internet
Understand key trends in AI, deep learning, and autonomous vehicles
How to apply AI, IoT, and Blockchain to solve real problems
See what new AI, IoT, and Blockchain technologies MIT is developing
Understand how to make money from these technologies
Predict key trends in emerging deep technology industries
Emerging low-power, wide-area networks (LPWAN)
Learn Blockchain applications, trends, and innovations
Key AI and autonomy technologies
AI and deep learning in context of self driving vehicles vision systems
Blockchain implementations and applications
Example applications for Blockchain
How to identifying opportunities for innovation in Blockchain
learn more about past bootcamps
what to expect at bootcamp
Who It's For
Past Bootcampers have come from a range of backgrounds
Corporate professionals, consultants, and innovation managers
Graduate students, researchers, post-docs
Professors and educators
Doctors, lawyers, and other service based professionals
Family business owners
Designers and creatives
Individuals in career transition, interested in pursuing a career in deep technologies
calling all nerds
No matter who you are or where you come from, we’re looking for scrappy individuals looking to roll up their sleeves to build real deep technology applications. We value authenticity, grit, and a collaborative mindset. If you’re someone motivated by tackling the tough problems, and willing to break rules or hack your way there – then this Bootcamp is for you.
MIT Bootcamps Alumni
what past bootcampers have said about their experience
Nidhi Sharma began her entrepreneurial journey in India. After graduating from college with an Electrical Engineering degree, she founded Ukhaad Electronics, which runs workshops and training to introduce colleges and schools in India to STEM subjects. Nidhi Sharma’s business was profitable and growing, but she felt she needed a unique education in entrepreneurship and innovation…
Keiana Cave began researching the 2010 BP oil spill in her hometown of New Orleans with Tulane University at 15. She designed a method that allows the Environmental Protection Agency to identify certain toxins that form as photoproducts during oil spills. But she soon got tired of the academic route and this past summer attended the…
“I had always worked for big companies with deep pockets and now I was in a startup. I felt I had a lot to learn about the entrepreneurial process: idea generation, raising capital, and scaling the company,” says Tamara Mills, who left life sciences company Anteo Diagnostics to run De Motu Cordis, a medtech startup…
Josh Siegel, MIT PhD '16
Entrepreneur, Academic, and Hacker
Josh Siegel is an Assistant Professor in Computer Science and Engineering at Michigan State University (MSU) and the lead instructor for MIT’s Internet of Things Bootcamp. He received Ph.D., S.M. and S.B. degrees in Mechanical Engineering from MIT. Josh and his automotive companies have been recognized with accolades including the Lemelson-MIT Student Prize and the MassIT Government Innovation Prize. He has multiple issued patents, published in top scholarly venues, and been featured in popular media. Dr. Siegel’s ongoing research develops architectures for secure and efficient connectivity, applications for pervasive sensing to vehicle diagnostics, and new approaches to autonomous driving.
Fred Fort Flowers (1941) and Daniel Fort Flowers (1941) Professor of Mechanical Engineering, MIT
Sanjay Sarma is the Fred Fort Flowers (1941) and Daniel Fort Flowers (1941) Professor of Mechanical Engineering and the Vice President for Open Learning at MIT. He co-founded the Auto-ID Center at MIT and developed many of the key technologies behind the EPC suite of RFID standards now used worldwide. He was also the the founder and CTO of OATSystems, which was acquired by Checkpoint Systems (NYSE: CKP) in 2008. He serves on the boards of GS1US and Hochschild Mining and several startup companies including Top Flight Technologies. Dr. Sarma received his Bachelors from the Indian Institute of Technology, his Masters from Carnegie Mellon University and his PhD from the University of California at Berkeley. Sarma also worked at Schlumberger Oilfield Services in Aberdeen, UK, and at the Lawrence Berkeley Laboratories in Berkeley, California. He has authored over 100 academic papers in computational geometry, sensing, RFID, automation and CAD, and is the recipient of numerous awards for teaching and research including the MacVicar Fellowship, the Business Week eBiz Award and Informationweek’s Innovators and Influencers Award. He advises several national governments and global companies.
Acting Director, MIT Auto-ID Lab
Brian Subirana is Acting Director of the MIT Auto-ID lab and Research Scientist at MIT. He has been affiliated with MIT for over 20 years in various capacities including Visiting Professor at the MIT Sloan School of Management. He has also taught at programs from various Business Schools (MIT Sloan, Harvard, Stanford, IESE, INSEAD). Before becoming an academic, he worked at The Boston Consulting Group. He obtained his PhD in Computer Science at the MIT Artificial Intelligence Laboratory (now CSAIL), his MBA from MIT Sloan, founded three start-ups and has over 200 publications (including three books). He currently researches applications of disruptive IoT/AI technologies focusing in four industries: digital learning (he spent the academic year 2015/2016 researching digital learning strategies as Visiting Scientist with the MIT Office of Digital Learning), electric vehicles, supply chain, and cryptocurrencies/blockchain. He is particularly interested in inventing business strategies that optimize value from IoT technologies.
Eric Klinefelter is a Research Assistant in the Electromagnetics Research Group (EMRG) at Michigan State University. His research is focused on microwave and millimeter-wave sensors for the automotive industry. He is an active member of the MSU Autodrive team where they are developing an autonomous vehicle to compete in the SAE Autodrive Challenge. Eric helped…
Shane Pratt is a Senior Research Support Associate in the Mechanical Engineering Department at MIT. Shane supports research tasks in the AutoID Lab, Field Intelligence Lab, and GEAR Lab ranging from software and electronics to mechanical hardware design, and helped to create many of the labs for the DeepTech program. He has multiple Land Rover…
Georgios Pappas is an expert and published author in AR/VR using Unity and an alumnus from the MIT IoT Bootcamp (2017). He holds a joint BSc-MSc degree in Electrical and Computer Engineering from National Technical University of Athens and he is also a PhD candidate at the same department. He is actively collaborating with MIT…
Dr. Yang is a Professor of Mechanical Engineering and Faculty Academic Director of MIT D-Lab, overseeing the Education program, and co-instructor for D-Lab: Design for Scale. Her research interest is in the product design process, particularly in the early phases of the design cycle. Dr. Yang earned her S.B. in Mechanical Engineering from MIT, and…
Fadel Adib is an Assistant Professor at MIT and the founding director of the Signal Kinetics research group at the MIT Media Lab. His research develops innovative technologies and algorithms for wireless perception, networking, and sensing with a focus on biomedical sensing, autonomous systems, and subsea IoT. Adib received his PhD in 2016 from MIT…
Sertac Karaman is an Associate Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology (since Fall 2012). He has obtained B.S. degrees in mechanical engineering and in computer engineering from the Istanbul Technical University, Turkey, in 2007; an S.M. degree in mechanical engineering from MIT in 2009; and a Ph.D. degree in electrical…
Admissions to the Bootcamp is highly selective. The most successful Bootcampers had the following qualities before attending that contributed to their success at the Bootcamp and beyond:
Submit your application form, resume, and knowledge assessment.
Video Interview Round
If invited, complete our video interview so we can learn more about you.
Learn if you've made it to the Bootcamp and next steps for attending.
Admissions are conducted on a rolling basis. The sooner you apply, the sooner you will receive a decision at each round. Don’t wait. Show your commitment by applying early.
Familiarity with programming concepts (variables, functions, logical comparisons, and loops) and basic electronics (circuits, switches, and Ohm’s Law). No deep experience necessary. Labs will be programmed in Arduino and Python.
Those new to programming may wish to enroll in the free MITx course, Introduction to Computer Science and Programming Using Python to get ready.
Visa and travel
If you require a visa to travel to the United States please apply as soon as possible. Confirm with your local U.S. embassy or consulate for specific visa requirements. You may use your offer of admissions letter to the Bootcamp as a supporting document if required.
Tips on fundraising
For each program, we can only offer partial scholarships up to half of the tuition costs to a handful of candidates. Candidates shortlisted for scholarships are notified after admission to the program. You do not need to apply separately.
If you are admitted, please do not wait to come up with funding until we have made scholarship decisions or let your ability to attend be determined by this decision.
The Bootcamp journey does not start on the first day of the program but rather from the moment you begin your application. If you are unable to self-fund, sponsorship, crowdfunding, and other scholarships are potential sources of funding for tuition. Researching the appropriate sources and crafting your message to approach them and convince them to invest in your future are skills that you will practice often on your journey as a successful innovator. Instead of seeing raising funds for tuition as an obstacle or setback, see it as a challenge to overcome as an innovator.
Additional resources you may find helpful