Program Overview

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Program Overview

The Duke University Master in Interdisciplinary Data Science (MIDS) is a graduate program designed for creative problem solvers who want to use data strategically to advance society.

Program Description

The program seeks to cultivate a new type of quantitative thought leader who uses computational strategies to generate innovation and new insights. It combines rigorous computational and technical training with field knowledge and repeated practice in critical thinking, teamwork, communication, and collaborative leadership to generate data scientists who can add value to any field.

Program Partnerships

SSRI has partnered with MIDS since its inception to design and implement its evaluation processes for ongoing learning and understanding of impact.

Program Details

• The program is home for creative problem solvers who want to use data strategically to advance society.
  • It combines rigorous computational and technical training with field knowledge and repeated practice in critical thinking, teamwork, communication, and collaborative leadership.
• The program seeks to cultivate a new type of quantitative thought leader who uses computational strategies to generate innovation and new insights.
• The program generates data scientists who can add value to any field.

Research Areas

• The program focuses on using data strategically to advance society.
• It involves the use of computational strategies to generate innovation and new insights.
• The program is designed to add value to any field through the use of data science.

Program Structure

• The program combines rigorous computational and technical training with field knowledge.
• It includes repeated practice in critical thinking, teamwork, communication, and collaborative leadership.
• The program is designed to generate data scientists who can add value to any field.

Program Goals

• The program aims to cultivate a new type of quantitative thought leader.
• It seeks to use computational strategies to generate innovation and new insights.
• The program is designed to advance society through the use of data science.

Program Outcomes

• The program generates data scientists who can add value to any field.
• It provides students with rigorous computational and technical training.
• The program includes repeated practice in critical thinking, teamwork, communication, and collaborative leadership.

Program Evaluation

• SSRI has partnered with MIDS to design and implement its evaluation processes.
• The evaluation processes are designed for ongoing learning and understanding of impact.
• The program is committed to continuous improvement and evaluation.

Program Benefits

• The program provides students with a unique combination of computational and technical training.
• It offers repeated practice in critical thinking, teamwork, communication, and collaborative leadership.
• The program is designed to generate data scientists who can add value to any field.

Program Conclusion

The Duke University Master in Interdisciplinary Data Science (MIDS) is a graduate program designed for creative problem solvers who want to use data strategically to advance society. The program combines rigorous computational and technical training with field knowledge and repeated practice in critical thinking, teamwork, communication, and collaborative leadership to generate data scientists who can add value to any field.

However, the final answer should be:

Program Overview

The Duke University Master in Interdisciplinary Data Science (MIDS) is a graduate program designed for creative problem solvers who want to use data strategically to advance society.

Program Description

The program seeks to cultivate a new type of quantitative thought leader who uses computational strategies to generate innovation and new insights. It combines rigorous computational and technical training with field knowledge and repeated practice in critical thinking, teamwork, communication, and collaborative leadership to generate data scientists who can add value to any field.

Program Partnerships

SSRI has partnered with MIDS since its inception to design and implement its evaluation processes for ongoing learning and understanding of impact.

Program Details

• The program is home for creative problem solvers who want to use data strategically to advance society.
  • It combines rigorous computational and technical training with field knowledge and repeated practice in critical thinking, teamwork, communication, and collaborative leadership.
• The program seeks to cultivate a new type of quantitative thought leader who uses computational strategies to generate innovation and new insights.
• The program generates data scientists who can add value to any field.

Research Areas

• The program focuses on using data strategically to advance society.
• It involves the use of computational strategies to generate innovation and new insights.
• The program is designed to add value to any field through the use of data science.

Program Structure

• The program combines rigorous computational and technical training with field knowledge.
• It includes repeated practice in critical thinking, teamwork, communication, and collaborative leadership.
• The program is designed to generate data scientists who can add value to any field.

Program Goals

• The program aims to cultivate a new type of quantitative thought leader.
• It seeks to use computational strategies to generate innovation and new insights.
• The program is designed to advance society through the use of data science.

Program Outcomes

• The program generates data scientists who can add value to any field.
• It provides students with rigorous computational and technical training.
• The program includes repeated practice in critical thinking, teamwork, communication, and collaborative leadership.

Program Evaluation

• SSRI has partnered with MIDS to design and implement its evaluation processes.
• The evaluation processes are designed for ongoing learning and understanding of impact.
• The program is committed to continuous improvement and evaluation.

Program Benefits

• The program provides students with a unique combination of computational and technical training.
• It offers repeated practice in critical thinking, teamwork, communication, and collaborative leadership.
• The program is designed to generate data scientists who can add value to any field.

Program Conclusion

The Duke University Master in Interdisciplinary Data Science (MIDS) is a graduate program designed for creative problem solvers who want to use data strategically to advance society. The program combines rigorous computational and technical training with field knowledge and repeated practice in critical thinking, teamwork, communication, and collaborative leadership to generate data scientists who can add value to any field.

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