News

Internship Updates

Internship Updates

MIDS students have been busy this summer completing their internships all over the country. They are gaining practical learning and can put ideas into practice.

Career Fair

Career Fair

This event focuses on organizations recruiting for full-time, summer 2024 intern and/or research opportunities geared towards data science, statistics, technology, AI, machine learning, economics, fintech, and related fields.

Data Science in Retail Banking

Data Science in Retail Banking

We’ll discuss how data science and other quantitative techniques have transformed retail banking product development, pricing, and revenues as well as risk management.

MIDS Capstone Symposium

MIDS Capstone Symposium

Join us as we hear from MIDS students discussing their capstone projects. Capstone projects engage our students in a year-long partnership with a non-academic stakeholder and at least one Duke researcher with expertise relevant to the problem being solved. MIDS...

Become a Capstone Partner

MIDS is requesting proposals form external partners for year-long capstone projects. Capstone projects pair external partners with teams of second year MIDS students. External partners can include any agency external to the MIDS program and have historically included...

Now Hiring Data Visualization Analyst

Now Hiring Data Visualization Analyst

The Data Visualization Analyst is responsible for providing consultation, instruction and project support to faculty, students, and campus groups across Duke University supporting individual, class, and team visualization projects. The Data Visualization Analyst...

Welcome New MIDS Staff

Welcome New MIDS Staff

Sarah Martin, Administrative Coordinator Sarah is a Durham-native with a professional background in higher education administration. Her work has been primarily focused on international and graduate education programs, and she's spent the last 14 years working with...

Apply to MIDS

Apply to MIDS

Want to work in the field of data science? Choose MIDS. Why? Because we offer interdisciplinary training, exposure to data-driven problems in a variety of disciplines, and direct experience in team-based science. Apply Now