Page 2 of 4, 52 PhD Programs in Technology Studies in North America for 2024

The Doctor of Information Systems (D.Sc) objective is to prepare students for research or teaching positions in the academic community so that they can conduct or contribute to research in their chosen areas of study.

The primary goal of the Doctor of Computer Science (D.Sc) is to grow research computer scientists with the ability to generate new knowledge. The program of Computer Science (D.Sc) is designed to advance the professional development of experienced computer scientist and professionals in the computer arena by extending their computer knowledge and equipping them with broad research and process computer skills, enabling them to make a key leadership contribution to their chosen fields.

The Ph.D. program is designed to prepare students for a career in research. As such, it requires considerable self-directed study and independent research.

The Joint School of Nanoscience and Nanoengineering (JSNN) is much more than an academic unit. Our dynamic institution lives at the intersection of research and execution, the catalyst for breakthrough innovations that create high-impact academic, industry, and government research outcomes. We offer rigorous academic programs, as well as cutting-edge facilities and equipment that can help you achieve your own breakthroughs. JSNN has six research focus areas —nanobioscience, nanometrology, nanomaterials (with special emphasis on nanocomposite materials), nanobioelectronics, nanoenergy, and computational nanotechnology. Our mission is to forge partnerships with scientists and researchers from industry, academia, and government, working together to create impactful scientific research that drives change. Whether you’re looking to further your education or create a dynamic research collaboration, JSNN is here to partner with you. Come and explore the possibilities with us.

The Ph.D. program in Computer Science presents both advanced instruction and opportunities for independent research. The Ph.D. degree is the highest academic degree offered, and graduates typically find employment as researchers in government or industry laboratories or as university faculty. Earning a Ph.D. degree requires initiative and responsibility, and the student is expected to make a significant contribution to computer-science knowledge by investigating a topic that is recognized as significant.

The Ph.D. in Computational Data Science and Engineering is an interdisciplinary graduate program designed for students who seek to use advanced computational methods to solve problems involving big data, extensive computations, and complex modeling, simulation, optimization and visualization.

These are exciting times in electrical and computer engineering. Humanity is in the midst of a revolution that started with the harnessing of electric energy and has evolved to today’s ubiquitous access and use of information. Electrical and computer engineering occupy the leading role in driving this revolution. Electrical and computer engineering provides the devices and methods to collect, process, communicate and store information. These fields of engineering also contribute fundamental technology to solve our society’s most pressing problems as the evolution towards electrification of infrastructure to address environmental challenges. Researchers in electrical and computer engineering have provided such advances as wireless access to the internet, super-fast communications across the world, control systems that deliver a man to the moon, portable computing devices, self-driving vehicles, robotics, the smart grid powered from renewable energy, and so much more.

The doctoral program in astrophysical sciences and technology focuses on the underlying physics of phenomena beyond the Earth and on the development of the technologies, instruments, data analysis, and modeling techniques that will enable the next major strides in the field.

The Ph.D. in computing and information sciences is a research degree designed to produce independent scholars, cutting-edge researchers, and well-prepared educators.

The graduate programs in computer science offer intensive preparation in design, programming, theory, and applications. Training is provided for both academically oriented students and students with professional goals in the many businesses, industrial, and governmental occupations requiring advanced knowledge of computing theory and technology.

The Ph.D. in Computer Engineering program offers intensive preparation in design, programming, theory, and applications. Training is provided for both academically oriented students and students with professional goals in the business, industrial and governmental occupations requiring advanced knowledge of computer theory and technology.

The Ph.D. program in Arts, Technology, and Emerging Communication (A.T.E.C.) is designed for those who wish to engage in deep scholarship or to develop artistic, cultural, or commercial applications of digital technology and emerging media. With a diverse group of faculty and a curriculum that integrates scholarly study with creative practice, A.T.E.C. cultivates creative scholars, scholarly practitioners, and interdisciplinary researchers.

The purpose of the graduate program in Computer Science is to facilitate the student's continued professional and scholarly development. The Doctor of Philosophy (Ph.D.) programs are designed to prepare the student to conduct research and development in an area of concentration.

Students in Saint Louis University’s Ph.D. program in computer science conduct independent, innovative research under the guidance of a member of our graduate faculty. The program prepares students for rewarding careers in industry or academia that leverage the power of computers, algorithms, and data to impact the world in a positive way.

The Ph.D. in Computer Engineering prepares aspiring scholars and researchers to explore key areas within the computer engineering field, including computer architecture, integrated circuit design, photonic computing, high-performance computing, and network computing.