Academic Programs

Bachelors of Science in Bioinformatics

Bioinformatics sits at the vital intersection between mathematics, life science, and data science. This cutting-edge field applies intensive computational methods to analyze and understand complex biological information related to health, biotechnology, genomics, and more.

The University of Utah’s bioinformatics bachelor’s degree provides rigorous interdisciplinary training to thrive in this rapidly growing area. Through a comprehensive curriculum, you’ll gain expertise in areas like biostatistical modeling, machine learning for genetics, biological data mining, computer programming and computational techniques for biomedical research.

Bachelors of Science in Data Science

A undergraduate degree in data science. This program represents the most direct way for a new students to learn what they need towards a exciting career as a data scientists. It is one of the first degrees in the nation for this new discipline. Students will learn the technical skills beyond data processing, management, and analysis, while also gaining exposure in explanability, ethical, and domain focused issues.

BioMedical Informatics

PhD and MS degrees. Physicians, nurses, pharmacists, and other health care professionals may apply for an MS or PhD degree. In addition, the department encourages applications for degree programs from individuals with backgrounds in computer science, engineering, biology, biochemistry, statistics, or other relevant fields.

Computational and Data Science

The Computational Science Track incorporates coursework from different mathematical disciplines to reflect the breadth of computational and data science employed to solve real-world problems. The degree program is offered through the College of Science with students earning the Master of Science and Technology (MST) in Computational Science.

Data Management and Analysis Track

A MS and PhD program in School of Computing focusing on the data science aspects. Most entering students have a CS degree or similar or extensive experience as a software engineer; some students have an analytical background (e.g., math, statisitcs) with some computer science background. Machine Learning, Data Mining, Visualization, Databases, Algorithms, and advanced classes in these areas.

Data Science Options of MS in Computing

MS degrees for students with strong analytical backgrounds and some programming. Not as much focus on programming but more focus on mathematical statistics as other Computing degrees.

Data Science Options of Math MStat

MS degrees for students with strong analytical backgrounds and some programming. More computing focus, and less mathematical analysis focus compared to typical Math MStat degree.

Graduate Certificate in Data Science

A graduate level certicate (15 credits) for students with at least some CS background and some analytic experience (either probability and linear algebra or other analytica bachground, e.g., math, physics, econ, bioinformatics). Machine Learning, Data Mining, Visualization, Databases, Algorithms.

Graduate Certificate in Deep Learning

The Deep Learning Certificate Program will provide working knowledge of the use of state-of-the-art deep learning technology as a graduate student certificate program. The successful award of the certificate in Deep Learning results from the completion of 15 student credit hours of work at the graduate level. In addition, the certificate program requires a graduate internship project with program’s industry partners.

Graduate Certificate in Information Systems

The Graduate Certificate in Information Systems (GCIS) allows students to gain specialized knowledge in information systems. Obtaining a graduate-level certificate in IS will provide a significant advantage to those seeking to advance their careers in the field of information systems or strengthen their technical proficiency.

This 18-credit-hour certificate program is designed for maximum flexibility and offers students a wide choice of courses and areas of concentration. Courses are available primarily in the evening to meet the needs of working professionals. Program electives and faculty are shared with the Master of Science in Information Systems (MSIS) program and provide the same high level of instruction and interaction.

Master of Science in Business Analytics

Designed to provide students with the skills necessary to compete in the rapidly growing market for analytics and data science professionals, the David Eccles School of Business Master of Science in Business Analytics (MSBA) program offers a unique blend of curriculum in both the technical and managerial space.

Master of Science in Information Systems

Designed to provide the advanced education necessary to manage the technology of business, the David Eccles School of Business Master of Science in Information Systems (MSIS) program offers business education with a practical slant. Industry-driven coursework and opportunities for hands-on experience prepare our graduates for leadership positions in one of the fastest-growing job sectors in the world. In fact, the U.S. Bureau of Labor Statistics forecasts a 15 percent growth for employment in the IS/IT industry from 2014 to 2024.

Undergraduate Certificates in Data Science

A undergraduate level certicate (22 credits) to provide exposure to the three major pedagogical categories within data science: understanding of the theoretical underpinnings; computational method design, development and use; and domain-specific applications. It is expected that a student obtains specialization in one of these three areas through their choice of electives.