Interdisciplinary Data Science
The Interdisciplinary Data Science master’s program at University of Duke offers a comprehensive two-year curriculum designed to equip students with advanced skills in data analysis, computational methods and interdisciplinary research. Students gain expertise in statistical modeling, machine learning, and data-driven decision-making while exploring applications across fields such as business, healthcare, social sciences and engineering. The program emphasizes practical experience, research projects and applied problem-solving, enabling learners to extract insights from complex datasets and implement solutions in diverse professional contexts. Its structured design ensures students develop both technical proficiency and analytical rigor for careers in data science or further academic study.
Participants benefit from access to advanced computational resources, collaborative projects and faculty mentorship. The curriculum emphasizes machine learning, data modeling, computational methods and applied analytics, preparing students to translate complex data into actionable insights. Through hands-on projects, seminars and research-focused coursework, learners strengthen technical, analytical and problem-solving skills, ensuring they are equipped to address real-world challenges in a wide range of industries and interdisciplinary contexts.
Key information
Key Facts
- Program Title: Interdisciplinary Data Science
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 29 January 2026
- Location: Duke University, United States
- Field of Study: General Studies
- Language of Instruction: English
Program Structure
Semester 1 – Foundations in Data Science
• Statistical Methods for Data Analysis
• Introduction to Machine Learning
• Computational Tools and Programming
• Seminar in Data-Driven Decision-Making
Semester 2 – Intermediate Analytics & Applied Methods
• Advanced Machine Learning Techniques
• Data Visualization and Communication
• Elective in Specialized Analytics Topic
• Applied Project in Interdisciplinary Context
Semester 3 – Specialization & Research Methods
• Big Data Analytics and Modeling
• Ethical Considerations in Data Science
• Research Project / Applied Study
• Elective in Interdisciplinary Applications
Semester 4 – Capstone & Thesis Integration
• Independent Research / Master’s Thesis
• Advanced Computational Methods
• Seminar: Data Science in Practice
• Professional Portfolio Development
Career Opportunities
Graduates of this program are prepared for data-intensive, analytical and interdisciplinary roles in technology, business, healthcare, and research sectors. Common career paths include data scientist, machine learning engineer, analytics consultant and research analyst. Additional opportunities exist in technology firms, financial institutions, consulting companies, healthcare organizations and academic research centers. The program also provides a strong foundation for students pursuing doctoral studies in data science, computational methods or applied analytics. By combining rigorous technical training with applied research, graduates are equipped to transform complex datasets into actionable solutions across industries.
Why Choose This Program
This two-year master’s program is ideal for students seeking a comprehensive and applied approach to interdisciplinary data science. The curriculum emphasizes machine learning, computational methods, data modeling and applied research, allowing learners to integrate technical skills with real-world problem-solving. Students engage in research projects, applied assignments and faculty mentorship that strengthen analytical, technical and critical thinking abilities. The program’s structured design ensures graduates are prepared for careers in data science, analytics consulting, research or doctoral study. For those aiming to leverage data to drive innovation and informed decision-making, this program provides a focused and highly effective pathway.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 (919) 684-8111
Email: admissions@duke.edu
Address: University of Duke, Durham, North Carolina, United States
