The Next Frontier, according to McKinsey Global Institute, is Big Data. Data science has now developed into an essential component of digital transformation and technology innovation for the future dystopian world. This suggests that in addition to the demand for data scientists expanding daily, they are also paid well due to the high level of market demand. Every industry, including those in business, banking, government, healthcare, social networking, and technology, is on the lookout for individuals with degrees in data science and related abilities. Additionally, obtaining a Post-Doctoral degree in this area is advantageous because it can provide students with the research abilities they need to influence their chosen sector. A student who wants to major in data science may also need to take classes in big data, probability and statistics for data scientists, inference and representation, and machine learning and computational statistics, depending on the university they attended.
A List of the Top 10 US Universities offering outstanding PhDs in Data Science programs and courses are listed below:
- Rhode Island’s Brown University
Ph.D. in Computer Science with a Data Science Concentration The database group at Brown University is a leader in systems-oriented database research, and they are looking for Ph.D. candidates that are enthusiastic about studying TupleWare, MLbase, MDCC, Crowd DB, or PIQL and have good system-building abilities. Candidates might think about initially participating in a research internship with this group at Brown to secure admission. The completion of challenging massive open online courses, an internship at a significant business, or participation in a sizable open-source software project are other approaches to strengthen an application. C++ coding proficiency is preferred. All students are required to complete at least one semester of training as teaching assistants.
- Indiana University-Purdue University, Indianapolis, Indiana
Ph.D. minor in Applied Data Science in the Ph.D. in Data Science program To be awarded a Ph.D. in data science from Indiana University-Purdue, candidates must demonstrate proficiency in research, data analytics, management, and infrastructure. A data science core course of 24 credits, 18 methods credits, 18 credits of specialization, written and oral qualifying exams, and 30 credits of dissertation research make up the Ph.D. The seven-year deadline applies to completing all prerequisites. A master’s degree in social science, health, data science, or computer science is typically required of applicants. Presently, two Ph.D. students at IUPUI receive federal funding, whereas the bulk of Ph.D. students there are supported by faculty grants. Scholarships are provided to all students. A Ph.D. A minor in Applied Data Science with 12–18 credits is also available from IUPUI. Students studying at IUPUI or IU Bloomington in Ph.D. programs other than data science are eligible for the minor.
- The New York University – New York
Data science Ph.D. program New York University’s data science doctoral applicants are required to finish 72 credits, pass a qualifying and thorough exam, and successfully defend their dissertations within ten years after beginning the program. Data science basics, probability and statistics for data scientists, machine learning and computational statistics, big data, and inference and representation are among the courses that are required.
- New Haven, Connecticut’s Yale University
Program for Ph.D. students in Statistics and Data Science A thorough education in statistical theory, probability theory, stochastic processes, asymptotics, information theory, machine learning, data analysis, statistical computing, and graphical approaches is provided by Yale University’s Ph.D. program in statistics and data science. In their first year, students must successfully finish 12 of these courses. In their third and fourth years, students must teach one course per semester. In their fifth year, most students finish and present their dissertations.
- College Park, Maryland’s University of Maryland
Ph.D. in Information Studies with a Big Data/Data Science Concentration Big data, data science, and informatics are just a few of the study fields that Ph.D. candidates might participate in. The program is made for students who desire to pursue research careers, and faculty members provide students with interdisciplinary mentoring. The multidisciplinary program allows students with a range of academic backgrounds and does not specify any prerequisites for the Ph.D. degree. Students have the option of choosing a full- or part-time curriculum.
- Atlanta’s Kennesaw, Georgia’s Kennesaw State University
Analytics and Data Science Ph.D. program A minimum of 78 credit hours are required for students at Kennesaw State University who want to pursue a Ph.D. in analytics and data science. This includes a minimum of 12 credit hours for dissertation research as well as a minimum of 12 credit hours for an internship. A thorough review of the content from the three study areas of computer science, mathematics, and statistics will come before dissertation research. A master’s degree in a computational subject, calculus I and II, programming experience, modeling experience, and a base SAS certification are all requirements for successful candidates.
- Massachusetts University Boston – Massachusetts’s Boston
Ph.D. in Business Administration with a Data Science Track in Information Systems A Ph.D. in information systems for data science is offered by the University of Massachusetts – Boston. Due to the nature of this degree, students must finish two years of coursework with a focus on data for business, for instance, by enrolling in a course like Business in Context: Markets, Technologies, and Societies. After each academic year, students must take and pass qualifying tests, comprehensive exams, and a thesis defense. Though a quantitative degree is not required, applicants with degrees in statistics, economics, arithmetic, computer science, management sciences, information systems, and other relevant subjects are strongly encouraged. When a student is accepted into the program, they are often given full tuition credits as well as a stipend ($25,000 annually) to aid with living expenses for up to three years of study. Students work as research assistants for faculty members for the first two years of their education; in the third year, they participate in classroom activities. From a small pool of program money, the fourth year’s funding is awarded based on merit.
- California’s Pasadena-based California Institute of Technology
Ph.D. in data sciences with a focus on mathematical and computing sciences Caltech offers a multidisciplinary Ph.D. program in computing and mathematical sciences that brings together academics and learners from several disciplines, such as computer science, electrical engineering, applied mathematics, operations research, economics, and the physical sciences. Each student must take three courses in a focus area and fulfill breadth requirements in their first year. They also all take courses in arithmetic and computing basics. Each applicant is required to finish a dissertation.
- The University at Buffalo in Buffalo, New York
Computational and Data-Enabled Science and Engineering Ph.D. program Three topics—data science, applied mathematics and numerical methods, and high performance and data-intensive computing—are at the core of the University at Buffalo’s Ph.D. program in computational and data-enabled research and engineering. Each of these three disciplines requires the completion of a nine-credit course. The curriculum should be finished in 4-5 years and consists of a total of 72 credit hours. Admission requires a master’s degree; some of the basic curriculum requirements may be satisfied with master’s-level coursework.
- Joint Program: Clemson University and Medical University of South Carolina (MUSC) in Charleston and South Carolina
Clemson University’s Doctor of Philosophy in Biomedical Data Science and Informatics Precision medicine, population health, and clinical and translational informatics are the three options available to students. Students may choose to study courses in any combination of the following five subject areas: population health, health systems, and policy; biomedical/medical domain; lab rotations, seminars, and doctoral research. Candidates must hold a bachelor’s degree in engineering, computer science, mathematics, statistics, health science, or a similar field; it is also advised that they be proficient in a second of these subjects. A year of calculus, college biology, and programming expertise are all prerequisites for the curriculum.
