MIT Deep Technology Bootcamp

Cambridge, MA | June 15 - 21, 2019


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.

Learning areas


Massachusetts Institute of Technology

Cambridge, MA

Application Deadline

April 15*


*Submit Round 1 by Apr 15, 12 midnight ET (Boston Time)

Bootcamp Dates

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.

Refund Policy and Terms and Conditions

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

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

bootcamper profiles

Diving into Entrepreneurship with Raman Saggu

Written by Samantha Costanzo Carleton Colleagues and friends had often remarked on Raman Saggu’s entrepreneurial streak, but she didn’t give those comments much thought until a chance encounter at a friend’s birthday party. Up until then, she had focused solely on an academic career. A British neuroscientist with a D.Phil. in Medical Sciences from the University...
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Margarita Camus

Written by Samantha Costanzo Carleton Many of the attendees at any given MIT Bootcamp are there to learn about entrepreneurship because they’ve already founded their own companies. Many more are seriously considering becoming founders themselves. Margarita Camus, who attended the Brisbane, Australia Bootcamp in February 2019, falls into a category all her own: She was there...
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Nidhi Sharma Bringing the Bootcamp Experience back to India

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…

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Keiana Cavé Forbes 30 under 30, Energy 

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…

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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.

Sanjay Sarma

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.

Brian Subirana

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.

Guest Speakers

Eric Klinefelter (lab instructor)

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…

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Shane Pratt (lab instructor)

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…

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Georgios Pappas

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…

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Maria Yang

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…

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Fadel Adib

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…

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Sertac Karaman

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…

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Bootcamp Team



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:

Capacity for Calculated Risk

Success happens when preparation meets opportunity. But seizing new opportunities comes with an inescapable amount of risk. We look for applicants who are confident and calculated risk takers, and can weigh when it makes sense to embark on a new venture, pivot, or start anew.

Focus on Community

At MIT we believe that the team is more important than the idea. Great teams make amazing companies and can turn average ideas into life-changing innovations. Ideal candidates will put the team above themselves, and have a strong track record of contributing to their community.

Open and Critical Thinking

Developing your venture will require collaboration and openness to new ideas. We look for individuals with an ability to combine critical thinking with an open mind.

Initiative with Follow-Through

Anyone can start a new venture, but what separates the thriving businesses from those that fail is follow-through. We looks for applicants that start new ventures, but will follow-through even when the going gets tough.


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.

Getting Ready


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

Merit-Based Scholarships
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

You can share the following documents with sponsors so they can understand more about the Bootcamp:

Do you have what it takes?

Apply to the MIT Deep Technology Bootcamp!