Technology, Data Analytics, Artificial Intelligence

From software engineering and app development to data science and artificial intelligence, these rapidly evolving fields offer a wide range of career opportunities across industries. Whether you’re interested in building systems, analyzing data, or designing user experiences, there’s a path for you. 

Key Technical Areas: 

  • Software Engineering & Development – Build and maintain scalable software systems
  • Data Science & Analytics – Use data to uncover insights and inform decision-making
  • Artificial Intelligence & Machine Learning – Develop intelligent systems that learn and adapt
  • Mobile & Web Development – Create responsive, user-friendly digital experiences
  • Product Management & UX/UI Design – Shape the strategy and usability of tech products

Finding Internships

Employers seek candidates with strong technical skills, which you can develop through: 

  • Coursework and academic projects
  • Hackathons and coding competitions
  • Independent or open-source contributions
  • Industry internships at startups or big tech companies 

Tip: While many large companies focus on juniors for internships, some also offer early engagement programs for first- and second-year students to explore tech career paths. 

Finding Jobs

For technical roles, employers typically look for: 

  • Proficiency in programming languages (e.g., Python, Java, C++) 
  • Familiarity with operating systems and development tools 
  • Strong problem-solving and algorithmic thinking 

Some roles, such as data science or AI engineering, require specialized skills like statistical modeling or machine learning. Technical skills will often be assessed during the application process, usually through a technical interview. 

There are also many non-technical roles in tech companies, including: 

  • Marketing 
  • Human Resources 
  • Business Development

Graduate and Professional Programs

Considering graduate school? Your decision may depend on your long-term goals: 

  • Ph.D. Programs – Best suited for academic or research-focused careers.
  • Professional Master’s Degrees – Ideal for building specialized skills in areas like AI, data science, or cybersecurity. 

While not required for most entry-level roles, advanced degrees can provide a competitive edge and open doors to more specialized opportunities.  

Employers Hiring in Tech, Data, & AI:

Many companies across industries are actively hiring for roles in technology, data analytics, and AI. Examples include: 

  • Tech & AI: Google, Microsoft, Meta, Amazon, NVIDIA, OpenAI, IBM
  • Finance & Consulting: JPMorgan Chase, Capital One, Goldman Sachs, McKinsey & Company, BCG 
  • Biotech & Healthcare: Moderna, Johnson & Johnson, Medtronic, Flatiron Health 
  • Startups & Innovation: Stripe, Databricks, Hugging Face, Perplexity, Scale AI 
  • Government & Research: NASA, Department of Defense, MIT Lincoln Laboratory, MITRE 

Postgrad Opportunities outside the US (Europe and UK)

Want to explore postgraduate opportunities outside the US? Always imagined living in Europe? Below are a few unique visas and programs available to recent Harvard graduates in various EU countries and the UK.

Denmark

Did you know the job market …

By Meaghan Shea
Meaghan Shea Assistant Director, Technology, Data Analytics, Life & Physical Sciences & Entrepreneurship
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Join TechGeneration’s Intern Community for Summer 2026

Learn more at this infosession: April 22, 2pm, Zoom: TechGeneration Boston Internship Initiative Infosession

Have you secured an innovative internship in Massachusetts this summer? Are you still looking for housing? If so, there is a new opportunity available to you …

By Meaghan Shea
Meaghan Shea Assistant Director, Technology, Data Analytics, Life & Physical Sciences & Entrepreneurship
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AI-Proof Jobs for 2026: Careers (and Skills) Technology Still Can’t Replace

“Artificial intelligence is changing the workplace faster than almost anyone expected just a few years ago, but despite all those scary headlines about AI replacing most jobs, the reality is more nuanced. Sure, AI may be replacing certain tasks, but …

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GRADUATE SPOTLIGHTS

Zixi Liu PhD ’25

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Anthony Jesmok ALM Management, ’25

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Shawn Joseph ALM, Software Engineering ’25

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Yash Nahar ALM, Data Science ’25

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David Rasmussen ALM, Software Engineering ’25

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Nikola Jurkovic ’25

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Nathan Li ’25

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Oscar Mercado ’25

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Kai Reed ’25

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Catherine Stanton ’25

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Gabriel Wu ’25

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Learn SQL for working with databases, using Google BigQuery.

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Transitioning to Product Management

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It’s possible to jump into a product management role with a nontraditional background. In this course, product manager Cole Mercer…

The Data Science of Healthcare, Medicine, and Public Health

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Data analytics plays an increasingly pivotal role in how we go about managing our healthcare systems and our own personal…

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Today, some of the most exciting, meaningful, impactful, and in-demand IT careers are in helping to make cities work well.…

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People use GitHub to build some of the most advanced technologies in the world. Whether you’re visualizing data or building…

Product Manager Interview Prep

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In this course, you’ll learn exactly what to expect during a product management interview, and view exclusive interviews with practicing…

How to Build a Startup

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In an introduction to the basics of the famous Customer Development Process, Steve Blank provides insight into the key steps…
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