The Ph.D. minor in Applied Data Science offers doctoral students in other disciplines the opportunity to learn data science approaches and apply them to problems in their major. Data science is now applied to every field. Data science concepts and approaches are required of researchers who collect, curate, manage, analyze, and visualize the big data found in massive, complex, diverse, and distributed repositories.
Our nation’s research enterprise is positioned for gains from the accelerated growth in the generation of digitally born data, and advances in security, privacy, and ethics will be paramount to realizing these gains. The gains are furthered by the potential to link scholarly publications with the data on which the research is based and uniquely identify each dataset for discovery through a web of linked data. The economic potential of research can be realized more fully and quickly when the research can be replicated, and when data can be shared broadly and used and reused in science and policymaking.
Data work is often associated with the skills and strategies deployed by data scientists. The current situation for employers is dire with an estimated dearth of 200,000 professionals with deep analytical skills and 1.5 million employees lacking the knowledge to make decisions effectively using big data insights. But for students in this minor, the outlook is bright. O*NET reports their jobs are expected to grow rapidly in the coming years. In July 2017, job aggregator glassdoor.com reports for data scientist jobs an average of $96,000 for Indianapolis and $113,000 nationally.
Indiana has stronger growth percentage-wise than the U.S. overall, indicating the state is attracting high-tech professionals with Indianapolis aspiring to become the “Silicon Valley of the Midwest.” Trends highlight Indianapolis as a thriving market—a standout compared with other noncoastal regions of the country. Data science is part of the growing local industry in information technology, with leading companies such as Angie’s List, Geofeedia, Interactive Intelligence, and Salesforce. The minor leverages on collaborative opportunities at IUPUI and in Indianapolis that are unique in the state.
The Ph.D. minor in Applied Data Science is a 12-credit hour program comprised of four (4) courses, each of which is 3 credit hours.
A graduate course in inferential statistics, such as
A graduate course in databases, such as
Select one from the following courses in consultation with the minor advisor:
A minimum grade of B (3.0) is required in each course that is to count toward the minor. If a minimum grade of B (3.0) is not earned in a course, that course must be retaken. A course may only be retaken once. Students who fail to achieve the minimum grade of B (3.0) the second time they take a course will not be able to earn the Ph.D. minor.
A maximum of three credits from another institution may be applied toward the minor. No undergraduate courses may be applied to the minor.
The Ph.D. minor in Applied Data Science does not require a qualifying exam.
To be admitted to the Ph.D. Minor, the applicant must be currently enrolled at IUPUI or IU, Bloomington in a doctoral program other than Data Science. The student must also be in good academic standing and possess knowledge and skills in calculus, linear algebra, and programming.
If you would like to apply to the Ph.D. minor, please submit an application package (PDF) via email to the Graduate Program Coordinator at firstname.lastname@example.org. It must contain
Accepted students will be notified promptly.