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The Department of Computer Science is committed to the development and study of computing technologies for the greater good of humanity.

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In meeting this mission, we are committed to: 
Providing an outstanding education in all aspects of modern Computer Science, thereby preparing our majors for productive careers in the field or for further graduate studies;
Serving students who major in other disciplines with the computational knowledge and skills that are required for success in their chosen fields;
Instilling in our students the value of lifelong learning and continuing professional development;
Advancing knowledge in the field of Computer Science through research, and involving students in this work as an essential complement to traditional teaching activities;
Promoting an awareness in our students of ethical issues that arise in Computer Science, and the importance of extending the benefits of computing technology to underprivileged communities, locally and globally.


  • Now Hiring (image by Image by

    We are very pleased to be hiring a new tenured or tenure-track faculty member in the Department of Computer Science, with a start date of August 2019. We are interested in candidates with a demonstrated record of addressing biological problems and omics data sets with computational approaches. Outstanding candidates at all levels are encouraged to apply.  For full consideration, applicants must apply at by January 6, 2019. For additional information about our department, its academic programs, and this new faculty position see

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  • SLU Alexa

    Starting in Fall 2019, SLU will be offering a Bachelor of Science degree in Data Science, delivered through the partnernship of the Department of Computer Science and the Department of Mathematics and Statistics. The creation of this program is reflective of the growing influence of large-scale data collections and analyses throughout society, the advances in statistical and computational techniques that are used to gain new knowledge and make better predictions through with the use of large data collections, and the need for ethical considerations in the use of such data.

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  • Dr. Flavio Esposito has been awarded $100,000 from the NSF to study how learning theory can be leveraged to better manage edge networks. The project, part of the NSF US-EU Internet Core & Edge Technologies, will launch a new research collaboration with Dr. Michele Rossi’s team at the University of Padua, Italy.

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