Graduates of our program, the first of its kind in Indiana and the Big Ten, are equipped to make pioneering research contributions to data science in both academia and industry. They develop innovative solutions to complex data problems, demonstrating strong intellectual merit and broad impact, while the curriculum prepares them to advance data science theory and practice.
What you'll learn
The Data Science Ph.D. program at IU Indianapolis offers a world-class education and research experience, where students master core data science methods while conducting original research in areas like natural language processing, AI applications in social welfare and biomedical sciences, intelligent conversational agents, and data visualization with human-data interaction.
Students will demonstrate competency in research:
Critically evaluate the published scholarly record.
Critically apply the theories and methodologies of data science to new research in their primary area of study.
Apply appropriate principles, frameworks, and models to evaluate and interpret the frontiers of knowledge in their primary area of study.
Demonstrate expository and oral communication skills appropriate to a Ph.D., publishing and presenting work in their field.
Critique data practices for ethical issues, including discriminatory practices, power imbalances, and invasions of privacy.
Demonstrate advanced competency in data science tools and techniques, applied statistical analysis, and a domain area relevant to their area of specialization.
Develop a record of relevant scholarship.
Demonstrate an ability to conduct independent, original research with a depth of knowledge in the chosen area of specialization.
Students will demonstrate competency in data analytics:
Design and execute ethical research using quantitative and experimental methods.
Organize, visualize, and analyze large, complex datasets using descriptive statistics and graphs to make decisions.
Apply inferential statistics, predictive analytics, and data mining to informatics-related fields.
Analyze datasets with supervised learning methods for functional approximation, classification, and forecasting and unsupervised learning methods for dimensionality reduction and clustering.
Identify, assess, and select appropriately among data analytics methods and models for solving a particular real-world problem, weighing their advantages and disadvantages.
Write programs to perform data analytics on large, complex datasets.
Students will demonstrate competency in data management and infrastructure:
Design and implement relational databases using commercial database management systems according to database concepts and theory.
Diagram a relational database design based on an identified scenario.
Produce database queries using SQL.
Perform database administration tasks.
Describe the data management activities associated with the data lifecycle.
Overcome difficulties in managing very large datasets, both structured and unstructured, using nonrelational data storage and retrieval (NoSQL), parallel algorithms, and cloud computing.
Apply the MapReduce programming model to data-driven discovery and scalable data processing for scientific applications.
The Data Science Ph.D. Program at IU Indianapolis provides a world-class education and research opportunities. Ph.D. students in the program learn fundamental Data Science methods while pursuing independent, original research in a broad variety of topics, including:
Novel techniques for Natural Language Processing and Text Analytics.
Applications of AI to social welfare, digital governance, cultural heritage, biomedical sciences, and environmental sustainability.
Intelligent conversational agents and models of Human-AI collaboration.
A bachelor’s degree with demonstrated technical skills
Overall GPA of 3.0 or higher on a 4.0 point scale
A course in multivariate calculus, linear algebra, statistics or probability theory, and computer programming
Deadlines
Fall admission: January 15
Spring admission: August 15
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