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Master of Science in Automatisierter Wissenschaft: Biologische Experimente

Carnegie Mellon University - School of Computer Science


Sitz

USA (Vereinigte Staaten von Amerika)

Studienformat

Campus

Kurssprache

Englisch

Studienbereiche

Biologie, Biotechnologie, Biochemie, Molekularbiologie

Dauer

2 Jahre

Studienrhythmus

Vollzeit

Niveau

Master of Science (MSc)

Studiengebühren

Infos anfordern

Beschreibung des Programms

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 Learning, and 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.

Informationen über das Institut

Our mission is to lead in computer science research and education that has a real-world impact — to push the frontiers of the field and produce the next generation’s leaders.

Diversity, Equity, and Inclusion

At its foundation, the School of Computer Science is a collective and expansive community, committed to equity and inclusivity. As a global community, it is crucial that SCS be welcoming and inclusive in order to achieve excellence in the instruction, research, and application of computer science. We work to ensure equal access for students, staff, and faculty from diverse backgrounds.

We also recognize that the institutions in our country must be change agents in order to create a more just and equitable world. With our legacy of creating data-driven solutions to solve difficult real-world problems, CMU and SCS stand uniquely positioned to positively affect the trajectory of this transformation.

Outreach Initiatives

Computer science as a field faces incredible challenges. Only one in four schools offer any form of digital literacy classes — a staggering number, given that the U.S. will have about 1.4 million computer science-related jobs in 2020. As it stands now, we’ll only have enough CS grads nationally to fill about a third of them. To make matters worse, most of the schools that offer CS classes reside in affluent school districts, creating a big knowledge gap between kids from different socioeconomic backgrounds.

In SCS, we’re working hard to bridge that gap and introduce students to computer science well before they get to college.

Giving to SCS

Celebrate the Past, Fund the Future

Computer science underpins nearly everything in our lives in ways we might not have imagined a generation ago, and SCS has played a huge role in sparking that sea change. But while we celebrate our history, we're focused on the future. We're training the innovators and dreamers to create the technologies that will change how the next generation lives and works. Your gift to SCS supports these dreamers, but it doesn't stop there. It also allows us to help faculty members achieve their research goals. It gives us the flexibility to move quickly to meet educational and quality-of-life needs. It helps us develop new ways to work with the community, spread the word about SCS and encourage future generations to consider computer science as a career.

Your dedication to SCS funds our future. And that's pretty amazing.

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