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Virtual Tours

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70 Amherst Street - Immersive Imaging

Take a peek inside the building, immersive imaging .

Building Amenity Spaces

Common Area (Fifth Floor)

Music Room  (Basement)

Outdoor Courtyard

Primary Fitness Area  (Basement)

Secondary Fitness Area  (Basement)

Shared Community Space (Basement)

Example Unit Types*

Single Room (First Floor)

Single Room (Fifth Floor)

​ *Please note that specific unit types and fixtures may vary. All immersive images are for illustrative purposes only.

Ashdown House - Immersive Imaging

Immersive imaging.

​Building Amenity Spaces

Community Lounge (First Floor)

Community Lounge (Second Floor)

Fitness Area (First Floor)

Floor Lounge (First Floor)

Floor Lounge (Second Floor)

Multipurpose Room (First Floor)

Music Room (First Floor)

Crafts Lounge  (First Floor)

Shared Kitchen Space ** (Second Floor)

• Three-Bedroom Suite **

*Please note that specific unit types and fixtures may vary. All immersive images are for illustrative purposes only.

**Units with no kitchen have access to community kitchens within the  building

Edgerton House - Immersive Imaging

Fitness Area (Basement)

Floor Common Area

Shared Community Space (Large Space, Basement)

Shared Community Space (Small Space, Basement)

Two-Bedroom Apartment

Three-Bedroom Apartment

*Please note that specific unit types and fixtures may vary. All immersive images are for illustrative purposes only. 

Graduate Tower at Site 4 - Immersive Imaging

Community Outdoor Balcony (Fourth Floor)

Outdoor Space (Fourth Floor)

Primary Fitness Area (Fourth Floor)

Secondary Fitness Area (Fourth Floor)

Shared Community Kitchen & Lounge Space (Fourth Floor)

Shared Community Space (Fourth Floor)

Shared Community Space (Third Floor)

Study Room (Third Floor)

Efficiency A partment

One-Bedroom A partment

* Please note that specific unit types and fixtures may vary. All immersive images are for illustrative purposes only. 

Sidney-Pacific - Immersive Imaging

Building Amenity Spaces ​

Community Function Space (First Floor)

Computer Lounge (First Floor)

Floor Lounge (Fifth Floor)

Game Room (First Floor)

Shared Community Kitchen (Fourth Floor)

Shared Community Space 1 (First Floor)

Shared Community Space 2 (First Floor)

Shared Community Space 3 (Second Floor)

Study Area (Fifth Floor)

Efficiency Apartment

Two-Bedroom S uite

Two-Bedroom Quad Suite

Tang Hall - Immersive Imaging

Building Amenity Space

Community Lounge (24th Floor)

Four-Bedroom Apartment

The Warehouse - Immersive Imaging

Atrium Study Area (First Floor)

Primary Fitness Area (Basement)

Secondary Fitness Area (Basement)

Shared Community Kitchen Area (Basement)

Shared Community Room (Basement)

Study Area (Large Space, Basement)

Study Area (Small Space, Second Floor)

Television Lounge (Basement)

Example Unit Type*

Efficiency Unit

*Please note that specific unit types and fixtures may vary. All immersive images are for illustrative purposes only.

Westgate Apartments - Immersive Imaging

Children's Playroom (High Rise, First Floor)

Fitness Area (High Rise, First Floor)

Lobby Seating Area (High Rise, First Floor)

Shared Community Space (High Rise, Large Space, Basement)

Shared Community Space (High Rise, Small Space, Basement)

Efficiency Apartment  (High Rise)

One-Bedroom Apartment  (High Rise)

Two-Bedroom Apartment (Low Rise)

*Please note that specific unit types and fixtures may vary. All immersive images are for illustrative purposes only. 

Virtual Tour

• Ask the Brain
• Message from the Director
• The McGoverns
• Administration
• Explore the Brain
• Polina Anikeeva
• Emilio Bizzi
• Martha Constantine-Paton
• Robert Desimone
• James DiCarlo
• Ev Fedorenko
• Michale Fee
• Guoping Feng
• John Gabrieli
• Ann Graybiel
• Mark Harnett
• H. Robert Horvitz
• Alan Jasanoff
• Mehrdad Jazayeri
• Nancy Kanwisher
• Josh McDermott
• Tomaso Poggio
• Rebecca Saxe
• Nidhi Seethapathi
• Guangyu Robert Yang
• Satrajit Ghosh
• Dimitrios Pantazis
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• Brain Imaging
• Cellular & Molecular Neuroscience
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• ​Computational Neuroscience
• Genome Engineering
• Neurotechnology
• ​Systems Neuroscience
• Alzheimer’s Disease
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• Bipolar Disorder
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• Participate in a Study
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• McGovern Institute Annual Symposium
• Edward M. Scolnick Prize in Neuroscience
• Phillip A. Sharp Lecture in Neural Circuits

Explore our labs, learn about our tools and technologies, and meet some of our brain researchers — all with the click of a mouse. With technical support and guidance from the MIT.nano Immersion Lab , our team took more than 500 panoramic photographs of the McGovern Institute and stitched them together to create this immersive experience, available to anyone with a computer, tablet or smart phone.

All virtual spaces are accessible through the lobby portal below. Follow the colorful tags in the lobby to access virtual labs or jump to specific rooms through the additional portals listed below. The blue tag in any virtual room will always bring you back to this lobby. Look for the red brain throughout your tour for additional opportunities to interact with our researchers. Enjoy your visit!

Begin Virtual Tour

Visit specific labs, boyden lab - engineering the brain, feng lab - synapses and circuits, harnett lab - listening to neurons, martinos imaging center - a view of the human brain, mcdermott lab - the science of sound, mcgovern institute atrium, nirs - a window into the mind, saxe lab - reading minds, wang lab - alleviating pain.

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This 20-month MBA program equips experienced executives to enhance their impact on their organizations and the world.

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Take a Virtual Tour

Mit sloan and the wider mit campus .

Take a tour of MIT Sloan. Our campus is a unique place built for a community of people inventing the future. Everywhere you look, you’ll see bright minds working together to make meaningful ideas matter in the world. This page is a resource for you to get a better sense of what our campus typically looks like. 

MIT Sloan Campus Tour

Welcome to our virtual tour of MIT Sloan's vibrant campus and community. Current students walk you around some of the places where you will spend most of your time as a student. Use this video to get a sense of what it looks like to be an MIT Sloan student.

MIT Sloan Facts and Figures

Approximate total students enrolled

Sloan student-led clubs

degree and non-degree programs

Creating and Supporting a Sustainable Campus

savings in energy thanks to Building E62's green measures

square feet of green space exist on MIT Sloan's campus

number of years MIT has produced its own power on campus

The Alfred P. Sloan School of Management began in 1914 as Course XV, Engineering Administration, at MIT, within the Department of Economics and Statistics.

         The MIT Campus

The MIT community is driven by a shared purpose: to make a better world through education, research, and innovation. On the  stage  or  field , in  makerspaces ,  living communities , and the surrounding area , MIT brings together talented people to learn, work, live, and play. MIT Sloan students regularly tap the wealth of MIT resources and often work closely across the Institute to bring new ideas from the lab to the marketplace. <-- Launch the slideshow for some quick highlights about the MIT campus.

An interactive map of the MIT campus

Where is MIT

Search the map to explore the MIT Campus and the Kendall Square neighborhood.

MIT Sloan is in the heart of Cambridge’s thriving Kendall Square neighborhood . The school is surrounded by biotech companies, tech giants, startups, and research labs, as well as a wide array of restaurants, outdoor activities, arts, music, and culture. And with nearly 60 colleges and universities in the Boston area, creative, intellectual energy is a key part of the fabric of the city. 

About the neighborhood

of the top 20 Biopharma companies located in Kendall

industry sectors call Kendall Square home

people live, work, and learn in Kendall Square

Stay connected

If you haven't already, make sure you introduce yourself and register to receive information about program updates, application tips, and updates on Sloan students and alumni making an impact. 

register your Interest

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We are part of one of the coolest, most creative, and intellectually vibrant ecosystems on Earth.

Originally founded in Boston, MIT now makes its home in the city of Cambridge, a place the New York Times   says, “blends its erudite character with a rich serving of arts and culture.”

Our campus is situated in Kendall Square , a hub brimming with technology giants, biotechnology firms, and   startups. Ever evolving, the plans to develop our neighborhood are next-level cool.

But we aren’t all engineering and no play. Our campus is a mere 364.4 smoots (plus or minus one ear) across the Charles River to Boston, where foodies can indulge, sports fanatics can cheer, and history buffs can walk the streets of Paul Revere. We are also only a subway ride away from the beach and a short road trip to the Green Mountains or the White Mountains.

The bottom line: this city has something for everyone. We encourage you to come check it out for yourself.

Official Tours

Prospective students.

The Office of Admissions conducts information sessions followed by student-led campus tours for students, families, and groups. For more information on how to schedule, please contact the MIT Office of Admissions .

MIT Campus Map and Directions

• Interactive MIT map
• Getting to MIT

Unofficial Tours

• Self-guided walking tour
• Architectural tours
• Trademark tours

MIT Nuclear Reactor Laboratory

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• Reactor Experiments
• Reactor Physics Analysis
• Neutron Activation & Elemental Analysis
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Education & Outreach

Explore MIT's Nuclear Reactor Lab through a unique opportunity to tour the MIT Reactor (MITR) and its facilities, offered to school groups, professionals, and the public. Choose between our   in-person and virtual  lectures and tours to learn facts and insights about nuclear science, radiation safety, how we use the MITR, and our reactor is operated. Lectures and tours aren't offered outside of normal business hours or on MIT Holidays . We're excited to feed your curiosity about nuclear science and engineering through our lectures and tours!

In-Person Tour Requests

⚠️ Our tour request form is temporarily closed until Monday, April 29th, as we process existing requests. Due to high demand and limited staff availability, tours are mostly unavailable until June. Your previously submitted request is included in our scheduling plans, even if submitted earlier this year. We apologize for any inconvenience and offer virtual tours via Zoom as an alternative. Our Outreach Coordinator will be confirming availability and scheduling tours accordingly.

In-person tours for groups of up to 20 people run on weekdays from 9:00am to 3:00pm, and last 60-90 minutes. Please request tours at least 7 business days in advance , with a 2:00pm latest start time if having an optional lecture. Small groups (5 or fewer people) and individuals can join tours based on availability listed on the tour request form. Larger groups should submit a  contact form  before submitting a tour request to discuss if we'd be able to accommodate the size of the group.

The reactor shuts down for quarterly routine maintenance outages during the first two to two-and-a-half weeks of January, April, July, and October. We do not offer tours during our quarterly outages.

Virtual Tour Registration

Individuals or groups can sign up for a virtual tour using the form below - our virtual tours don't have a participant limit. Our virtual tours have a 60-minute dedicated time slot to accommodate questions from the audience, but can end early or run long depending on questions or discussion at the end (we love questions!).

After being introduced to the design and use of the MITR in a few primer slides, you’ll watch footage of the stops along our in-person tour route while being live-narrated by one of our staff members. Virtual tours are family-friendly and available to the public. Educational or large sized groups can request a private tour, with or without a full 60 minute lecture presentation before the tour, by submitting a contact form inquiry .  

Here are some bonus videos to introduce you to our facility before you come for a tour or have your virtual one. These videos are different than our virtual tour and can help tour participants become more engaged by introducing them to topics in advance to create a small amount of familiarity behind them.

Reactor Tour Video

Take a look inside MIT's Nuclear Reactor Lab (K-12 audience):

5 Things You Wouldn't Expect a Nuclear Reactor To Do

Some surprising ways you can utilize a nuclear reactor, specifically at MIT's Nuclear Reactor Lab:

Online info sessions

Welcome! Sign up for one of our sessions to get a better sense if MIT might be right for you. Click through the calendar on the right to see what sessions are available. So, take a look, find a session, and we will see you on Zoom!

Improbable AI Lab: Lab Tour

Professor Pulkit Agrawal runs the Improbable AI Lab at CSAIL, where they have the goal of building machines that can automatically and continuously learn about their environment. Join him for a tour of the lab space and then hear from his students.

Professor Pulkit Agrawal runs the Improbable AI Lab at CSAIL, where they have the goal of building machines that can automatically and continuously learn about their environment. Dr. Agarwal is an Assistant Professor in the department of Electrical Engineering and Computer Science (EECS) at MIT. The Improbable AI Lab is affiliated with the Laboratory for Information and Decision Systems (LIDS) and involved with NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI). 

Gabriel Margolis is a PhD candidate in EECS at MIT CSAIL, advised Prof. Pulkit Agrawal. His research concerns the learning-based acquisition of motor skills for locomotion and manipulation .  Previously, Margolis obtained BS ('20) and MEng ('21) degrees at MIT.

Abstract:  Learned locomotion policies can rapidly adapt to diverse environments similar to those experienced during training but lack a mechanism for fast tuning when they fail in an out-of-distribution test environment. This necessitates a slow and iterative cycle of reward and environment redesign to achieve good performance on a new task. As an alternative, we propose learning a single policy that encodes a structured family of locomotion strategies that solve training tasks in different ways, resulting in Multiplicity of Behavior (MoB). Different strategies generalize differently and can be chosen in real-time for new tasks or environments, bypassing the need for time-consuming retraining. We release a fast, robust open-source MoB locomotion controller, Walk These Ways, that can execute diverse gaits with variable footswing, posture, and speed, unlocking diverse downstream tasks: crouching, hopping, high-speed running, stair traversal, bracing against shoves, rhythmic dance, and more.

Paper | Code |   Learn More

Anthony Simeonov is a Ph.D. student in the EECS department at MIT, advised by Professor Alberto Rodriguez and Professor Pulkit Agrawal. He is interested in robot manipulation and physical interaction. His work is supported by the NSF GRFP. He received his S.M. in EECS from MIT and my B.S. in Mechanical Engineering from UC San Diego, where he worked with Professor Michael Yip. Prior to CSAIL; Simeonov worked as research intern at Disney Research Los Angeles and NVIDIA's Seattle Robotics Lab.

Abstract: We present Neural Descriptor Fields (NDFs), an object representation that encodes both points and relative poses between an object and a target (such as a robot gripper or a rack used for hanging) via category-level descriptors. We employ this representation for object manipulation, where given a task demonstration, we want to repeat the same task on a new object instance from the same category. We propose to achieve this objective by searching (via optimization) for the pose whose descriptor matches that observed in the demonstration. NDFs are conveniently trained in a self-supervised fashion via a 3D auto-encoding task that does not rely on expert-labeled keypoints. Further, NDFs are SE(3)-equivariant, guaranteeing performance that generalizes across all possible 3D object translations and rotations. We demonstrate learning of manipulation tasks from few (5-10) demonstrations both in simulation and on a real robot. Our performance generalizes across both object instances and 6-DoF object poses, and significantly outperforms a recent baseline that relies on 2D descriptors.

Hear from PhD candidate Aviv Netanyahu on her distribution shift and imitation learning research. Netanyahu is a PhD student in EECS at MIT CSAIL, advised by Prof. Pulkit Agrawal, as part of the Embodied Intelligence Community of Research . She earned her MSc from the Faculty of Mathematics and Computer Science at the Weizmann Institute of Science, advised by Prof. Shimon Ullman, where she researched Computer Vision. Netanyahu holds a BSc degree in Mathematics and Computer Science from the Hebrew University of Jerusalem.

Abstract : Machine learning systems, especially with overparameterized deep neural networks, can generalize to novel test instances drawn from the same distribution as the training data. However, they fare poorly when evaluated on out-of-support test points. In this work, we tackle the problem of developing machine learning systems that retain the power of overparameterized function approximators while enabling extrapolation to out-of-support test points when possible. This is accomplished by noting that under certain conditions, a "transductive" reparameterization can convert an out-of-support extrapolation problem into a problem of within-support combinatorial generalization. We propose a simple strategy based on bilinear embeddings to enable this type of combinatorial generalization, thereby addressing the out-of-support extrapolation problem under certain conditions. We instantiate a simple, practical algorithm applicable to various supervised learning and imitation learning tasks.

Paper | Learn More

• Map of Boston Exhibits
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• Looking Backward

Arena Khimki

Next, we visit the Arena Khimki, currently the home of the football club, Dinamo Moscow. After the collapse of the Soviet Union, a new wealthy class emerged from the shambles of communism, the so-called “New Russians.” Seeking to maintain the status they acquired, the New Russian class sought to distance themselves from the Soviet command economy and can thus be credited with bringing capitalism to many domains of Russian society, including its sports culture. In an effort to bury their assets from tax authorities, significantly wealthy Russians invested into sports clubs, and used them as a front through which to launder their money and to grow their social status[1]. Dinamo Moscow was one of such football clubs, among the many owned by billionaire Russians. The Arena Khimki, completed as recently as 2008[2], stands as a testament to this extraordinary wealth.

The Dinamo Moscow football team in 2015.

Thus, post-Soviet sports culture had been largely commercialized by the end of the twentieth century, the somber escape from a domineering government replaced by fixed games, big names, and an unscrupulous flow of riches between those that were already rich[1]. In sports culture, the worst of communism was exchanged for the worst of capitalism. Spectatorship suffered, because of disapproval over the course popular sports had taken and – perhaps more significantly – because of the new means of entertainment that the former Soviet people were exposed to after their nation toppled. The escape that spectator sports offered was no longer as necessary without the Soviet ideal pervading overhead, and they faded into just another commodity.

[1] Riordan, James. “Totalitarianism and sport in Russia.” International Review on Sport and Violence . 2009. Web. 21 Oct. 2016.

[2] “Arena Khimki.” The Stadium Guide . n.d. Web. 22 Oct. 2016.

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Join-in Tour: Highlights of St. Petersburg and Moscow (Platinum Program)

• Russian visa support (Russian invitation)
• 5-star hotel in Moscow and Saint Petersburg
• Airport transfers
• Professional English-speaking tour guide
• Entrance tickets to museums according to the program (Skip-the-line entrance)
• Economy tickets on high-speed “Sapsan” train from Moscow to St. Petersburg
• Entry/Admission - Sparrow Hills (Vorobyovy Gory)
• Entry/Admission - Red Square
• Entry/Admission - Aleksandrovskiy Sad
• Entry/Admission - Moscow Kremlin
• Entry/Admission - Armoury Chamber
• Entry/Admission - Cathedral Square
• Entry/Admission - State Tretyakov Gallery
• Entry/Admission - Peter and Paul Fortress
• Entry/Admission - St. Petersburg
• Entry/Admission - Church of the Savior on Spilled Blood
• Entry/Admission - The State Hermitage Museum
• Entry/Admission - Park And Gardens of Peterhof
• Entry/Admission - Grand Peterhof Palace
• Personal expenses
• Entry/Admission - Cathedral of Christ the Saviour
• Entry/Admission - Saint Basil's Cathedral
• Entry/Admission - GUM
• Meeting at the airport upon arrival and transfer to the hotel.
• Sheremetyevo Airport, Khimki 141400 Russia
• Vnukovo International Airport, Moscow, Russia
• Not wheelchair accessible
• Near public transportation
• Confirmation will be received at time of booking
• Travelers should have a moderate physical fitness level
• This tour/activity will have a maximum of 16 travelers
• All sales are final and incur 100% cancellation penalties.

Join-in Tour: Highlights of St. Petersburg and Moscow (Platinum Program) provided by Uopera tours