Massachusetts Institute of Technology
Cambridge, MA, United States
Electrical Engineering & Computer Science · Mechanical Engineering · Economics
- Tuition
- Est. above $60,000 per year before aid
- Deadline
- Typically 1 November
Data & Analytics
Finds answers in data and communicates them clearly to decision-makers.
Data analysts collect, clean and analyse data to answer business questions, then share results through reports and dashboards. It is a common entry point into data science and analytics careers.
Outlook: Strong demand across sectors; a portfolio of real analyses is highly persuasive.
Tasks, skills, US pay and job growth from O*NET and the U.S. Bureau of Labor Statistics.
SQL
technicalAlmost every analyst, product and data role uses SQL to answer questions directly from company data.
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Python
technicalPython is the default language for data analysis, machine learning and scripting, and a common first language for engineers.
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Statistics
analyticalStatistics helps you avoid misleading conclusions and is required for data, economics and research roles.
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Data visualization
analyticalAnalysts are judged on how clearly they communicate findings, not just on the analysis itself.
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Excel & spreadsheets
technicalFinance, consulting and business roles rely on spreadsheets daily for analysis and communication.
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Writing & argument
communicationEssays, research reports, policy memos and scholarship applications all depend on strong writing.
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Cambridge, MA, United States
Electrical Engineering & Computer Science · Mechanical Engineering · Economics
Stanford, CA, United States
Computer Science · Management Science & Engineering · Economics
London, United Kingdom
Computing · Electrical & Electronic Engineering · Mathematics
Cloud
Amazon Web Services
Entry-level proof that you understand cloud concepts, core AWS services, security and pricing.
Data & AI
Google (on Coursera)
Spreadsheets, SQL, Tableau and R through a hands-on capstone.
Data & AI
Microsoft
Model, visualise and analyse data with Power BI.
Data & AI
IBM (on Coursera)
Python, SQL, data analysis and machine-learning basics.