Carnegie Mellon University

Overview

The Master of Science (M.S.) in Automated Science at Carnegie Mellon University equips students with the skills necessary to design and implement AI and robotics-driven systems for contemporary scientific research. The program emphasizes the automation of experimental workflows and the utilization of data-driven models to inform future experiments.

• Degree: Master of Science (M.S.)
• Focus: AI, robotics, and automated experimentation for scientific research
• Delivery: Full-time (typical duration: 24 months)
• Credits: Programme credit requirements vary by track—consult the official degree plan for details
• Language of instruction: English
• Application materials: transcripts, resume, statement of purpose, and letters of recommendation
• English tests accepted: TOEFL iBT and IELTS

What you'll study

Typical curriculum components include:

• Machine learning for scientific applications: Core concepts and practical modeling techniques
• Artificial intelligence: Foundations and applied methods for scientific inquiry
• Programming for scientists: Software skills essential for data and automation workflows
• Mathematics and statistics for scientific research: Key principles including probability, inference, and evaluation
• Computational biology foundations: Insights into applied cell and molecular biology
• Scientific data and modeling: Techniques for predictive modeling and experimental design
• Computational genomics: Data-driven strategies for analyzing biological datasets
• Laboratory automation and robotic instruments: Concepts for streamlining experimental processes

Capstone / research requirement: Students are expected to complete a significant research project or capstone that integrates AI and automation methods to address a scientific challenge. The specifics may differ by faculty and term, so verify with the department for current requirements.

Electives and specialization: Depending on course offerings, students may have opportunities to select electives that align with their research interests, such as active learning, advanced computational methods, or experimental techniques.

Entry requirements

Currently, there are no specified GRE, GMAT, or minimum GPA cut-off requirements for this program.

Career prospects

Graduates of the M.S. in Automated Science program are well-prepared for a variety of careers in academia, industry, and research institutions. They can pursue roles involving AI development, robotics integration in scientific research, and data analysis, contributing to advancements across multiple scientific domains.