This collection of MIT Theses in DSpace contains selected theses and dissertations from all MIT departments. Please note that this is NOT a complete collection of MIT theses. To search all MIT theses, use Barton, MIT Libraries' catalog.

MIT's DSpace contains more than 40,000 theses completed at MIT dating as far back as the mid 1800's. Theses in this collection have been scanned by Document Services or submitted in electronic format by thesis authors. Since 2004 all new Masters and Ph.D. theses will be scanned and will be added to this collection after degrees are awarded.

If you have questions about MIT theses in DSpace, contact Document Services. See also Access & Availability Questions or About MIT Theses in DSpace.

If you are a recent MIT graduate and would like to add your thesis to the theses in DSpace, see Add Your Thesis to MIT's DSpace for instructions. All theses scanned by the MIT Libraries are scanned in black and white mode. Color content, active links, and searchable text will only be preserved in the online version of your thesis if you have given an electronic copy (PDF) to the MIT Libraries.

MIT theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. To ask for permission, please contact:

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Recent Submissions

  • Assessing the opportunity to produce Nitinol medical device components using additive manufacturing 

    Kalidindi, Arvind R.(Arvind Rama) (Massachusetts Institute of Technology, 2019)
    Nitinol is an important alloy for medical device applications due to its exceptional combination of strength and elasticity. Most Nitinol is produced in wire form and then braided or laser cut into the complex geometries ...
  • Large-scale optimization Methods for data-science applications 

    Lu, Haihao,Ph.D.Massachusetts Institute of Technology. (Massachusetts Institute of Technology, 2019)
    In this thesis, we present several contributions of large scale optimization methods with the applications in data science and machine learning. In the first part, we present new computational methods and associated ...
  • Hybrid-industrial zoning : a case study in Downtown Los Angeles 

    Brown, Sarah(Sarah Dalton) (Massachusetts Institute of Technology, 2019)
    Historically, land use planning has treated industrial land uses either antagonistically or ambivalently. Traditional zoning approaches have restricted, regulated, spatially isolated, and pushed industrial land to the ...

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