Computer-based information systems facilitate, enable and often define the relationships between corporations and consumers, buyers and suppliers, businesses of all sizes, social networks, and citizens and their governments. Understanding these relationships and effectively addressing the collection, flow and distribution of information is vital to the effectiveness of any modern organization, enterprise or government agency.
The Bachelor of Arts in Data Science is a cooperative degree program involving the USC Dornsife College of Letters, Arts and Sciences and the USC Viterbi School of Engineering. Students complete 128 units, including at least 70 units of courses in Dornsife College and at least 38 units of courses in Viterbi School of Engineering. Units completed in Viterbi include the basic programming and data science requirements while units completed in Dornsife College include the general education and writing requirements, the Dornsife College foreign language requirement and an adviser-approved disciplinary specialization of at least 24 units.
The USC Viterbi Master of Science in Applied Data Science will train students as data scientists. This degree provides students with the knowledge and skill to solve real-world world challenges that require a combination of data management and data analytics skills. Students will learn how to use the latest big-data infrastructures, including Hadoop and Spark. They will learn how to use the various analytical tools, including machine learning, data mining, and data visualization. And students will learn how to apply these tools to real-world problems.
This degree is designed for students that have a strong math and science background, but may not have much training in computer science. Students will learn the basics of data science, including data formats, tools and techniques. They learn how to build data processing programs in Python, and they will learn how to apply the latest analytical tools through hands-on homeworks and projects. Students are given a choice of electives to allow them to pursue their own interests within data science.
The USC Viterbi School of Engineering Master of Science in Cyber Security Engineering degree program focuses on the fundamental theory and practices for designing, engineering and operating high assurance secure information systems. The program addresses the challenges and problems of sound policy formulation, verifiably secure operating systems, security-aware applications, secure networking, and use of cryptography and key management. This elucidates a foundation of sound principles for mitigation strategies that include advanced persistent threat employing malicious subversion.
The Master of Science in Communication Data Science is a cross-disciplinary joint degree program offered by the Viterbi School of Engineering and the Annenberg School for Communication and Journalism. Students must be admitted by both schools.
Students will be experts in the emerging field of data science for communication. Graduates will learn about theories and principles underlying human communication and the ways in which people utilize and engage with communication technologies. They will also understand the technical underpinnings of emerging communication platforms, ranging from social media to enterprise collaboration platforms to virtual and augmented reality. They will have the capability to build these technologies and effectively manage teams that do so. They will also master the theoretical and technical tools to investigate and analyze large volumes of data generated by digital communication platforms using machine learning and artificial intelligence.
The Master of Science in Environmental Data Science is a cross-disciplinary joint degree program offered by the Viterbi School of Engineering and the Dornsife College of Letters, Arts and Sciences. Students must be admitted by both the Viterbi School of Engineering and the Dornsife College of Letters, Arts and Sciences.
The application of data science to complex environmental problems has become increasingly important in evaluating large-scale environmental challenges. Data science technologies complement interdisciplinary analyses of complex environmental issues ranging over many topics such as climate change, water and air pollution, policy analysis, terrestrial and aquatic ecosystem management, biodiversity and many others. The curriculum is designed to prepare individuals to develop and use sophisticated analytical and computer-based methods to assess and protect the Earth’s natural resources.
The degree consists of a set of required core courses in both data science and health and a set of electives that include courses in data science and health. On the data science side, students will learn about artificial intelligence (particularly machine learning and semantic data models), data management, privacy, and data visualization. On the health side, students will be integrated into teams working with medical students in healthcare settings. Capstone courses with real-world projects will enable students to acquire practical experience with a data science project based in a healthcare service setting.
The Master of Science in Spatial Data Science is a cross-disciplinary joint degree program offered by the Viterbi School of Engineering and the Dornsife College of Letters, Arts and Sciences. Students must be admitted by both the Viterbi School of Engineering and the Dornsife College of Letters, Arts and Sciences.
Geospatial data accessibility, spatial decision support systems and geospatial problem solving environments are revolutionizing most industries and disciplines, including healthcare, marketing, social services, human security, education, environmental sustainability and transportation. Spatial data science professionals draw upon engineering, computer science and spatial sciences principles to solve data-intensive, large-scale, location-based problems.
Big data is revolutionizing the way many agencies operate, particularly with respect to governance transparency and accountability, law enforcement, transportation and housing policy. Big data is changing strategies for crime-fighting, defense, national intelligence, social programs, and finance and operations of agencies. The Master of Science in Public Policy Data Science is a multi-disciplinary program offered jointly between the USC Sol Price School of Public Policy and the Informatics Program in the department of Computer Science at the Viterbi School of Engineering, and will provide a curriculum that will make degree recipients appealing to the employers of the 21st century.
*Note: This degree has been merged with the Applied Data Science degree. The same coursework for the Data Informatics degree can now be completed as part of the revised curriculum for the M.S. in Applied Data Science.
Hard challenges in areas as diverse as medicine, business, media, and sports are being solved daily because data is opening new doors to the future. Progress in these domains requires individuals who understand the relevant engineering principles, but also have a passion for how information can be used to solve vexing puzzles. A Master of Data Informatics is a customizable gateway to connect your skill with a world of answers waiting to be discovered.
In this certificate program, students will learn the fundamentals of data informatics, including data collection and management, data analytics, data visualization, and data privacy. This certificate program is designed for students from nontechnical undergraduate backgrounds. Students who complete the certificate are eligible to be considered for admission to the program leading to the MS in Data Informatics.
This graduate certificate is offered through the USC Graduate and Professional Programs (GAPP) office. For more details on this program, including application criteria, information for international applicants, and a schedule of classes, please visit the Viterbi Graduate Admission website.