Data Science

Interested in pursuing a future in Data Science? Find resources, events, opportunities, and advice to confirm your interest and kickstart your career.

Explore a career path in Data Science

 

Data science is one of the fastest growing and most exciting fields out there today. It combines multiple fields, including statistics, scientific methods, artificial intelligence (AI), and data analysis, to extract value from data. Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis. Analytic applications and data scientists can then review the results to uncover patterns and enable business leaders to draw informed insights.

Goldman Sachs 2023 Exploratory Programs – Applications are Now Open!

Possibilities Summits Program

The 2023 Possibilities Summits Program is a two-week virtual program that offers a diverse cohort of undergraduate students the opportunity to participate in hybrid interactive workshops designed to expand their personal network, cultivate top industry skills and …

By Kendel Jester
Kendel Jester Career Advisor
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Exploring careers? Start with the Career Exploration Series!

CAPD is coordinating the second annual, institute-wide Career Exploration Series that begins on September 12th and runs through IAP! This series is a collaboration between MIT departments, programs, employers, and alumni to help all students learn about the different career and graduate/professional school options available to you.   

Visit the events page …

By Tianna Ransom
Tianna Ransom Assistant Director, Career Exploration
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Is Data Scientist Still the Sexiest Job of the 21st Century? 

Ten years ago we published the article “Data Scientist: Sexiest Job of the 21st Century.” Most casual readers probably remember only the “sexiest” modifier — a comment on their demand in the marketplace. The role was relatively new at the time, but …

By Mitchell Moise
Mitchell Moise Employer Relations Coordinator
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Einblick Analytics: The Hard Parts of Data Science Made Easy

Emanuel Zgraggen is Co-Founder and CEO of Einblick Analytics, the MIT spinoff making data science more accessible, allowing anyone, regardless of domain specialty, to optimize their jobs with state-of-the-art machine learning and data science methods.

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By Mitchell Moise
Mitchell Moise Employer Relations Coordinator
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Careers in Data Science Panel, Friday Aug. 19

We invite you to join the National Student Data Corps (NSDC) on Friday, August 19th from 3:00 – 4:30 p.m. (EST) for the next NSDC Data Science Panel.  Learn from other data scientists about their journeys and why they are …

By Francis Borrego
Francis Borrego Senior Assistant Director, Employer Relations 
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Featured Resources

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The German start-up “ELEVEL Academy” offers a variety of interactive, free 2 hour webinars – ranging from Programming, Project-Management to …

Since the magazine was founded in 1956 New Scientist has also been helping to put brilliant scientists to work with …

Layoffs.fyi tracker

Live-tracking all tech startup layoffs since COVID-19. Data is compiled from public reports.

Quant, FM, and data science interview compilation

Prepare for you next quant, financial math, or data science interview with this compilation created by Professor Aaron Cao from …