July 22, 2021

Online MM Completion Celebration Update

MIT Open Learning and the MicroMasters Statistics and Data Science Program (SDS) are proud to share with you the link for our second MM Completion Celebration, which occurred virtually on July 9, 2021. Over 700 learners and their families watched the show live.

The event recording includes brief remarks from IDSS leaders and MIT faculty, including MicroMasters Program in Statistics and Data Science Director Devavrat Shah. Also featured are three recent MM SDS credential holders who have shared their experiences in the program.

We are very proud of all learners and look forward to celebrating next years group!

Note — The SDS portion of the video begins at approximately 33:00 through 44:00.

February, 2021
MITx MicroMasters Program in Statistics and Data Science announces new Data Analysis elective

New course focuses on hands-on applications of data analysis across disciplines

A new elective course in the MITx MicroMasters Program in Statistics and Data Science (SDS) offers an increased focus on applying data science to complex, real-world problems. Data Analysis: Statistical Modeling and Computation in Applications launched February 15, 2021, and is open for enrollment now.

Read more on the new elective course Data Analysis: Statistical Modeling and Computation in Applications in the MIT Open Learning article here.

Note: If you have already purchased the MITx MicroMasters Program Bundle with the elective course 14.310Fx, you will need to contact edX customer service team if you wish to take the new 6.419x elective course instead. 


February, 2021

Celebration Times: IDSS Educational Partnership with Aporta Celebrates the First Cohort of Graduates in Peru

On February 6, 2021 Aporta and MITx MicroMasters Program in Statistics and Data Science (MM SDS) came together (virtually) to celebrate the learners of Cohort 1 as they completed 18 months of intensive learning of completing the MM SDS credential.

In the spring of 2019, Peruvian social impact group Aporta launched the Advanced Program in Data Science and Global Skills. Through an education partnership with IDSS, these learners take courses in probability, statistics, machine learning, and data analysis offered through the MIT MicroMasters in Statistics and Data Science.

Read all about the partnership with Aporta and MM SDS in the IDSS article A TRAIL-BLAZING COHORT.


February, 2021

MAKING DATA-INFORMED COVID-19 TESTING PLANS

A new web Covid-19 Testing Impact Calculator at WhenToTest.org has been developed by MIT researchers with the Institute for Data, Systems, and Society (IDSS), in collaboration with the Consortia for Improving Medicine with Innovation & Technology (CIMIT), to help organizations around the world answer these questions.

Read the complete story


Investment and Advancement is Key: MIT Professor Devavrat Shah on the Recommendation Engine Industry of the Future

November, 2020

An exciting new article, Investment and Advancement is Key: MIT Professor Devavrat Shah on the Recommendation Engine Industry of the Future is out and you can read the full article on MIT xPRO here.

Below is an excerpt form the article:

The market for recommendation engines is predicted to grow by USD $3.57B in the next four years, according to a recent report from Technavio. What’s the story behind these growth numbers? We talked with MIT Professor of Electrical Engineering & Computer Science and co-founder of machine learning startup Celect, Devavrat Shah, about the findings from this recent report and to discuss his predictions for recommendation systems technology.

We’re all familiar with Amazon recommendations or the carousel of curated shows and movies that appear on your Netflix profile. You have likely interacted with a recommendation engine if you researched a school, searched for a new dentist, or visited a dating site. And there are a multitude of opportunities beyond consumer applications, for everything from government policy and supply chain to market dynamics and competitive landscape.

"What gets more meaningful results is offering options, like an optician with lenses. Which is better, this one or that one? And it’s not just important what you buy, but what you don’t buy.” -- Professor Devavrat Shah


September, 2020

Regina Barzilay -- Course Faculty for Machine Learning course in MicroMasters Program in Statistics and Data Science (MM SDS) -- wins $1M Association for the Advancement of Artificial Intelligence Squirrel AI award.

MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis.

Read the full story at MIT news!

We are excited to announce and share that MM SDS professor Regina Barzilay was awarded $1M by the Association for the Advancement of Artificial Intelligence Squirrel AI award. Professor Regina Barzilay is the first recipient of the Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity.

For more than 100 years Nobel Prizes have been given out annually to recognize breakthrough achievements in chemistry, literature, medicine, peace, and physics. As these disciplines undoubtedly continue to impact society, newer fields like artificial intelligence (AI) and robotics have also begun to profoundly reshape the world.

In recognition of this, the world’s largest AI society — the Association for the Advancement of Artificial Intelligence (AAAI) — announced today the winner of their new Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity, a $1 million award given to honor individuals whose work in the field has had a transformative impact on society.

The recipient, Regina Barzilay, the Delta Electronics Professor of Electrical Engineering and Computer Science at MIT and a member of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), is being recognized for her work developing machine learning models to develop antibiotics and other drugs, and to detect and diagnose breast cancer at early stages.

In February, AAAI will officially present Barzilay with the award, which comes with an associated prize of $1 million provided by the online education company Squirrel AI. 


September, 2020

New Data Analysis Elective -- 6.419x Data Analysis: Statistical Modeling and Computation in Applications

The MicroMasters Program in Statistics and Data Science is excited to announce that starting Spring 2021, a new data analysis course---Data Analysis: Statistical Modeling and Computation in Applications, will become an additional offering as part of the MicroMaster Program in Statistics and Data Science.

This new course is a hands-on introduction to the interplay between statistics and computation for the analysis of real data. Learners will apply their fundamental knowledge on randomized control trials, hypothesis testing, linear regression, principal component analysis, and learn and implement common models and methods to analyze specific types of data in four different domain areas:

  • Epigenetic Codes and Data Visualization
  • Criminal Networks and Network Analysis
  • Prices, Economics and Time Series
  • Environmental Data and Spatial Statistics

Each module will have homework that will guide learners to analyze a real data set from the domain of focus. They will use python, R or other software of their choice to perform full analysis and improve their data visualization and communication skills through written reports in homeworks.

Elective Structure

6.419x Data Analysis: Statistical Modeling and Computation in Applications will be an elective course in the MITx MicroMasters Program in Statistics and Data Science, juxtaposed against 14.310/14.310Fx Data Analysis for Social Scientists/Data Analysis in Social Sciences--Assessing your Knowledge. See here for more information on the course.

What this means is that to complete the SDS MicroMasters Program, learners will need to take the 3 core courses, and 1 elective; and for the elective, learners can choose either 14.310x Data Analysis in Social Science—Assessing Your Knowledge /14.310Fx Data Analysis in Social Science—Assessing Your Knowledge, or the new elective course 6.419x Data Analysis: Statistical Modeling and Computation in Applications. Once learners have passed their 4 courses (3 core +1 elective), they will then take the virtually-proctored Capstone exam to earn the MicroMasters in Statistics and Data Science credential.

Dates

The new data analysis elective will open to learners with its first run February 2021 - May 2021, with registration and exact course dates sometime in Fall 2020. Please check the MM SDS schedule and Dates FAQ page for future updates.


July 28, 2020

Online MM Completion Celebration Update

MIT Open Learning and the MicroMasters Statistics and Data Science Program (SDS) are proud to share with you the link below for our first MM Completion Celebration, which occurred virtually on June 18, 2020. After six months planning, we launched our first joint MM (PoM, DEDP, SDS) completion celebration. Close to 500 learners and their families watched the show live.

The event recording includes brief remarks from IDSS leaders and MIT faculty, including IDSS Director Munther Dahleh and MicroMasters Program in Statistics and Data Science Director Devavrat Shah. Also featured are a selection of MM SDS credential holders who have shared their experiences in the program.

Read all about the MM Completion Celebration here in this MIT News article, "Learners today, leaders tomorrow." You can also view on demand a video recording of the inaugural celebration here. Note — The SDS portion of the video begins at 23:54 through 38:46.

We are very proud of all learners and look forward to celebrating next years group!

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