Carnegie Mellon University

Welcome!

The Computational Biology Department’s Masters of Science in Automated Science: Biological Experimentation (MSAS) program trains practitioners in the design, implementation, and application of laboratory automation and artificial intelligence in scientific research. Students train with world-class faculty, including those from the top-ranked School of Computer Science. 

Graduates become leaders in the emerging paradigm of Automated Science – the combination of robotic scientific instruments, Machine Learningand Artificial Intelligence for iteratively building predictive models from experimental data and selecting new experiments to improve them.  Students have opportunities to do research projects with Carnegie Mellon Faculty, to do summer internships with relevant companies, and to do collaborative projects with industrial sponsors.

Our graduates are prepared for rewarding jobs in industry or to pursue their doctoral degrees at top universities.

Applications for Fall 2022 Are closed, please check back for new deadlines.  Application instructions can be found here.

Coursework 

mantra-1024x576.jpgThe coursework for the MSAS degree provides training in three areas:

  • Hands-on training in robotic instruments for performing scientific experiments
  • The use of Machine Learning and related methods for data analysis and modeling
  • The use of Artificial intelligence for selecting experiments

Career Paths

We have worked closely with the members of our External Advisory Board to ensure that the MSAS program provides the training sought by industry and non-profit research institutions.  MSAS graduates are prepared for a range of rewarding jobs, or to pursue a Ph.D. in fields such as Biology, Chemistry, Computational Biology, or Biomedical Engineering. To facilitate this, the program provides an Early Admission path into participating Ph.D. programs

Scientific Automation is widely used in the pharmaceutical, biotech, and agricultural industries.  MSAS graduates are qualified to select, configure, customize, and operate the hardware and software necessary to automate essential tasks in scientific research and engineering.  These skills are relevant to positions with titles such as:  Automation Engineer; Platform Engineer; Scientific Computing EngineerLaboratory Automation Specialist; Lab Manager; Analytical Automation and Informatics Scientist.  Salary estimates for positions like these are in the range of $80K to $150K per year, depending on location and experience.

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"This program will provide a major boost to the scientific automation field and I am very happy to be involved with it."                                                                   DJ Kleinbaum, co-founder of Emerald Cloud Lab, Inc.

Life @ CMU and in Pittsburgh

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Gates-Hillman Building, School of Computer Science, Carnegie Mellon University.

Carnegie Mellon University is a world-class research university with global influence and a proud heritage of outstanding graduate and undergraduate education and research. Our vision is that Carnegie Mellon will meet the changing needs of society by building on its traditions of innovation, problem solving and interdisciplinarity.

Located at the confluence of three rivers and banked on all sides by green hills, Pittsburgh is a beautiful renaissance city awaiting your discovery.  Pittsburgh has earned its reputation as one of America’s “most livable” cities. Long a center for the production of steel, iron, glass, Pittsburgh’s economy is now driven by technology, education, medicine, finance, and tourism. Pittsburgh offers big city amenities and boundless hospitality in an atmosphere that is small-town friendly.

 

See for yourself how great Pittsburgh is.