Overview
The Automated Science programme at Carnegie Mellon University provides world-class training in the integration of robotics and artificial intelligence within scientific research. This advanced degree prepares practitioners to design and implement automated laboratory systems that revolutionise how biological experiments are conducted.
Students in this programme explore the emerging paradigm of scientific research where human intervention is significantly reduced through computer-controlled equipment. By combining machine learning with robotic instruments, the curriculum enables students to build sophisticated predictive models that evolve through iterative experimental data collection.
The teaching is delivered by expert faculty from the Ray and Stephanie Lane Computational Biology Department.
Why Automated Science at Carnegie Mellon University?
Carnegie Mellon University offers a unique environment where the School of Computer Science and biological departments converge. This institutional strength ensures that students work with the most advanced equipment currently available for large-scale, computer-controlled experimental methods.
The programme is distinguished by its focus on active machine learning, teaching students how to use models to choose future experiments that maximise accuracy growth. Distinctive features include opportunities for research projects with renowned faculty and collaborative initiatives with various industrial sponsors.
Tuition Fee Breakdown
- International fee: USD 60400 per year
- National fee: USD 60400 per year
- Local fee: USD 60400 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
Modules may include:
- Automated Science
- Biological Experimentation
- Machine Learning
- Artificial Intelligence
- Statistical Methods
- Predictive Modelling
- Laboratory Automation
- Robotic Scientific Instruments
- Experimental Methods
Careers with Automated Science
Graduates of the Automated Science programme are highly sought after by the pharmaceutical, biotechnology, and agricultural industries. They are qualified to select, configure, and operate the complex hardware and software systems required to automate essential tasks in modern scientific engineering.
Common career paths include roles as automation specialists, research scientists, and leaders in computational biology. Many graduates also secure summer internships with relevant technology companies or transition into advanced doctoral research programmes to further their expertise in automated discovery.
The skills acquired allow professionals to lead the transition toward fully automated research environments. By mastering the combination of robotics and data science, alumni are prepared for high-impact positions in both commercial research and development sectors and academic institutions worldwide.
Programme Structure
Courses include:
- Machine Learning
- Artificial intelligence
- Applied Cell and Molecular Biology
- Programming for Scientists
- Essential Mathematics and Statistics for Scientists
- Machine Learning for Scientists
- Computational Genomics
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Pittsburgh, United States
Disciplines
Biotechnology Artificial Intelligence Machine Learning View 104 other Masters in Machine Learning in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A PDF of your most recent transcript from each college and/or university you attended, even if no degree was granted.
- Your resume in PDF format.
- Your Statement of Purpose — a concise one or two page essay describing your primary research interests, related experiences and objective in pursuing a Masters in Automated Science.
- Three letters of recommendation, at least two of which are from faculty or recent employers.
Tuition Fees
-
International Applies to you
Applies to youNon-residents60400 USD / year≈ 60400 USD / year - Out-of-State60400 USD / year≈ 60400 USD / year
-
Domestic
Applies to youIn-State60400 USD / year≈ 60400 USD / year
Living costs
Pittsburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Automated Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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