Data Science and Analytics
The Data Science and Analytics master’s program at University of Duke offers a two-year curriculum designed to provide students with advanced knowledge in data analysis, statistical modeling, and computational techniques. Students gain expertise in big data technologies, machine learning, data visualization, and predictive analytics while learning to extract insights from complex datasets. The program emphasizes both theoretical foundations and practical applications, preparing learners to design and implement data-driven solutions across various industries. Its structured format ensures students develop both technical proficiency and analytical thinking in a comprehensive, applied learning environment.
Participants benefit from mentorship by experienced faculty, hands-on lab experiences, and collaborative projects. The curriculum emphasizes data analytics, machine learning, statistical modeling and big data technologies, enabling students to analyze large datasets, develop predictive models, and optimize data-driven decision-making. Through applied projects, research-focused coursework, and case studies, learners strengthen computational, analytical, and problem-solving skills, preparing them for successful careers in data science, analytics, and research.
Key information
Key Facts
- Program Title: Data Science and Analytics
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: Duke University, United States
- Field of Study: Data Science & Big Data
- Language of Instruction: English
Program Structure
Semester 1 – Foundations in Data Science
• Statistical Methods and Analysis
• Introduction to Programming for Data Science
• Data Visualization Techniques
• Seminar in Data-Driven Decision Making
Semester 2 – Applied Analytics & Machine Learning
• Machine Learning Fundamentals
• Big Data Tools and Technologies
• Elective in Specialized Data Science Topic
• Applied Project
Semester 3 – Advanced Analytics & Modeling
• Predictive Modeling and Data Mining
• Data Systems and Databases
• Research Project / Applied Study
• Elective in AI, Data Engineering, or Visualization
Semester 4 – Capstone & Professional Integration
• Independent Research / Master’s Thesis
• Advanced Machine Learning Applications
• Seminar: Emerging Trends in Data Science
• Professional Portfolio Development
Career Opportunities
Graduates of this program are prepared for professional roles in data science, analytics, business intelligence, and computational research. Common career paths include data scientist, business analyst, machine learning engineer and data engineer. Additional opportunities exist in technology firms, finance, healthcare, research institutions, and government agencies. The program also provides a foundation for students pursuing doctoral studies in data science, artificial intelligence, or related computational fields. By combining theoretical knowledge with applied research and project experience, graduates are equipped to design and implement data-driven solutions for complex challenges.
Why Choose This Program
This two-year master’s program is ideal for students seeking a comprehensive and applied approach to data science and analytics. The curriculum emphasizes data analytics, machine learning, statistical modeling and applied research, allowing learners to integrate computational expertise with practical problem-solving skills. Students engage in lab work, applied projects, and faculty-guided research that strengthen analytical, technical, and professional abilities. The program’s structured design ensures graduates are prepared for careers in data science, analytics, machine learning, or advanced research. For those aiming to harness data to drive decision-making and innovation, this program provides a highly practical and 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
