The Best PhD Programs in Data
Science to Further Your Career

Students enrolled in this program focus on a blend of statistics and computer science. The program covers techniques for analyzing unstructured, structured, and dynamic datasets.

The 60-credit program trains students to understand analytical methods while articulating the limitations and strengths of those methods. The curriculum includes six credit hours of computer science and six credit hours of statistics.

Some topics covered in the program include ethical issues, data science exploration, applied data science experience, and advanced data mining. To complete the program, students need to take elective courses, a preliminary exam, a qualifying exam, and a written dissertation.

This program uses an interdisciplinary approach to solve critical problems. Students use physics, mathematics, chemistry, computing, biology, and statistics to solve these problems.

The program teaches the application of technology to answer complex questions through data mining, computer analysis, and software engineering. Other topics include population genetics, genomics, and drug design. The program also covers economic science, predictive analysis, and bioinformatics.

Students in this program can pursue a track in population health, precision medicine, or clinical and translational informatics. This course requires 65 to 68 credit hours and takes around five years to complete.

The courses in the program cover computer engineering, biomedical informatics, health systems, population health, and policy. Students take part in seminars, lab rotations, and doctoral research.

The program allows students with a Bachelor’s Degree in Data Science or related disciplines to enroll. Students must have experience in programming, calculus, and biology to enroll.

This degree requires around 72 credits to complete. However, it allows students to transfer 48 credits from their master’s degree towards the coursework.

Students can choose a concentration in data science or computer modeling. They will complete 18 credits in their area of specialization. The program can be completed in four to five years and students with bachelor’s degrees can apply.

To enroll, you must have a degree in mathematics, natural science, computer science, or engineering. Experience with computer programming and differential equations is preferred.

This program gives students the opportunity to master data science approaches and apply them to decision-making. Students learn and practice how to collect, manage, curate, analyze, and visualize large and complex data.

Students must complete 24 credits of core courses in data science, 18 credits in their specialization, 18 credits in methods topics, and 30 dissertation credits. They must also write qualifying exams and finish the program within seven years.

This program offers five concentrations including computational public health, computational biology and bioinformatics, computational mathematics and statistical science, computational physical science, and computational science and engineering.

The program can be completed in five years. Students are allowed to take up to eight years to complete it. The curriculum includes core courses, specialization courses, electives, and dissertation research.

This program trains students to work with complex data to enhance the decision-making process. The curriculum focuses on data mining, programming, and statistical modeling.

Students also learn mathematical foundations for data analytics and data science. It requires 78 credit hours to complete. Students take core courses and electives. They also must complete an internship and dissertation research.

This program accepts students with bachelor’s degrees that are relevant to the field. Students with master’s degrees must take 18 credits. Students with bachelor’s degrees start with 36 credits before moving to their dissertation.

Some courses include data mining, business research methods, statistical computing using SAS and R, data management system design, and regression analysis. At the end of the first two years, students take qualifying exams. After the fifth year, students must defend their dissertation.

This program is a fellowship that was designed to train computer scientists in several data science application fields. These fields include geosciences, health informatics, business analytics, precision medicine, and cyber security.

All students in the program are expected to complete 30 credit hours of dissertation research. They must also complete 30 credit hours worth of computer science classes.

Students in this program can specialize in data science while applying the resources and skills they learn to different domains. The coursework requirement is 36 credit hours, which is in addition to 36 credit hours of dissertation research. The program is interdisciplinary and has several courses, allowing students to customize their degree program.