The World Bank has identified a global jobs crisis, predicting the need for 600 million new jobs in the next 15 years in an effort to end extreme poverty and boost shared prosperity. Small businesses hold the key to creating these jobs, but many have insufficient access to credit when seeking to grow their business - a financing gap that is estimated by the IFC to be as much as £2 trillion.
 
The new ‘Oxford Fintech online short course’ will create a future wave of enterprises to bridge the financing gap and provide new opportunities for job creation.

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MACHINE LEARNING:

MIT SLOAN SCHOOL OF MANAGEMENT MIT COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE LABORATORY (CSAIL)

GET COURSE BROCHURE

ONLINE SHORT COURSE

MACHINE LEARNING:

Register and pay before 12 December 2016, using the promocode EarlyBirdBSM,
to save £200

INTERNET OF THINGS

IMPLEMENTATION IN BUSINESS

 MIT SLOAN SCHOOL OF MANAGEMENT MIT COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE LABORATORY (CSAIL) 

6 weeks, 
excluding orientation

Weekly modules, flexible learning

6-8 hours per week, entirely online

YOU’LL WALK AWAY WITH:

An intuitive understanding of how machine learning can affect an organization’s greater business objectives and overall market strategy, culminating in a concrete action plan.

A firm foundation of knowledge about machine learning in terms of current and future capabilities – and how to leverage it in a business context.

A formal certificate of completion from the MIT Sloan School of Management, validating your strategies for practical business implementation.

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1

3

COURSE CURRICULUM 

Orientation Module: Welcome to Your Online Campus

Module 1: Introduction to machine learning

Module 2: Implementing machine learning in a business

Module 3: Sensing the physical world

COURSE CURRICULUM

Module 4: Helping machines to learn to use language

Module 5: Finding patterns in human transactions

Module 6: Machine learning challenges and future 

Orientation Module:
Welcome to Your Online Campus

Module 1:
Introduction to machine learning


Module 2:
Implementing machine learning in a business

Module 3:
Sensing the physical world

Module 4:
Helping machines to learn to use language

Module 5:
Finding patterns in human transactions

Module 6:
Machine learning challenges and future 

This MIT online short course is delivered in collaboration with online education provider, GetSmarter. Join a growing community of global professionals who have already had the opportunity to:

AN ONLINE EDUCATION THAT SETS YOU APART

Gain verifiable and relevant competencies and earn invaluable recognition from an international selection of universities, entirely online and in your own time

Enjoy a personalized, people-mediated online learning experience created to make you feel supported at every step

Experience a flexible but structured approach to online education as you plan your learning around your life to meet weekly milestones

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YOUR FACULTY DIRECTORS

Thomas Malone, MIT Sloan

YOUR FACULTY DIRECTORS

Thomas Malone, MIT Sloan

Patrick J. McGovern (1959) Professor of Management, and Founding Director of the MIT Center for Collective Intelligence

Thomas Malone is a Professor of Information Technology and of Organizational Studies at the MIT Sloan School of Management, and his research focuses on how new organizations can be designed to take advantage of the possibilities provided by information technology.

He has published his groundbreaking research in the book The Future of Work and in over 100 articles, research papers, and book chapters. His newest book, Superminds, appeared in May 2018. He holds 11 patents, has co-founded three software companies, and is quoted in numerous publications such as Fortune, The New York Times, and Wired. 

Malone holds a BA from Rice University, two master’s degrees and a PhD from Stanford University, as well as degrees in applied mathematics, engineering-economic systems, and psychology. 

Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. She serves as the Director of the Toyota-CSAIL Joint Research Center and is a member of the science advisory board of the Toyota Research Institute.

Rus’ research interests are in robotics, mobile computing, and data science. Rus is a Class of 2002 MacArthur Fellow, a Fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering and the American Academy of Arts and Sciences. She is the recipient of the 2017 Engelberger Robotics Award from the Robotics Industries Association. She earned her PhD in Computer Science from Cornell University. 

Director of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

Daniela Rus, MIT CSAIL

Thomas Malone is a Professor of Information Technology and of Organizational Studies at the MIT Sloan School of Management, and his research focuses on how new organizations can be designed to take advantage of the possibilities provided by information technology.

He has published his groundbreaking research in the book The Future of Work and in over 100 articles, research papers, and book chapters. His newest book, Superminds, appeared in May 2018. He holds 11 patents, has co-founded three software companies, and is quoted in numerous publications such as Fortune, The New York Times, and Wired.

Malone holds a BA from Rice University, two master’s degrees and a PhD from Stanford University, as well as degrees in applied mathematics, engineering-economic systems, and psychology.  

Patrick J. McGovern (1959) Professor of Management, and Founding Director of the MIT Center for Collective Intelligence

Daniela Rus, MIT CSAIL

Director of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. She serves as the Director of the Toyota-CSAIL Joint Research Center and is a member of the science advisory board of the Toyota Research Institute. 

Rus’ research interests are in robotics, mobile computing, and data science. Rus is a Class of 2002 MacArthur Fellow, a Fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering and the American Academy of Arts and Sciences. She is the recipient of the 2017 Engelberger Robotics Award from the Robotics Industries Association. She earned her PhD in Computer Science from Cornell University.