Online Bachelor’s in Clinical Data Science Programs


Data science is a fascinating field for students with an analytical bent of mind. Data affects every corner of modern life, including business, healthcare, pharmacology, architecture, education, real estate, or entertainment. All industries compile tons of data and make crucial decisions based on the analysis of that data. Businesses both large and small need data analysts who can analyze large quantities of data and help them make smarter choices based on that analysis.

A bachelor’s degree in clinical data science gives students a headstart in the field of data science. Many schools offer four-year online bachelor’s programs in data science to equip students with basic data analysis skills, such as the development of software programs, data security, and the creation of data visualizations. Some programs further delve into data structures, algorithms, programming languages, and operating systems.

As a data science graduate, students can look forward to lucrative career opportunities as data scientists, data consultants, technology analysts, data analysts, and business analysts. They can work in a wide range of fields and industries, both private and public.

Please note that clinical data science competencies can be developed through related programs in data analytics and data science since there are few undergraduate programs that focus exclusively on clinical applications.

The following guide details six exceptional programs in data science as well as three notable faculty members teaching them.

Professors to Know in Online Bachelor’s in Data Science Programs

  • Assefaw Hadish Gebremedhin, PhD - Washington State University

    Dr. Assefaw Gebremedhin is an assistant professor at Washington State University and director of the Scalable Algorithms for Data Science (SCADS) Lab at the School of Electrical Engineering and Computer Science. He was also an assistant professor at Purdue University and a postdoctoral fellow at Old Dominion University.

    Presently, his research focuses on pervasive computing, network science, algorithmic data science, bioinformatics, and high-performance computing. He is working towards developing better algorithms for wearable technology, particularly those with applications in healthcare. Dr. Assefaw won the National Science Foundation CAREER award in 2016 for his work on data analytics.

    He earned his doctorate, master's and bachelor's degree in computer science from the University of Bergen in Norway. He also has a bachelor's degree in electrical engineering from Addis Ababa University in Ethiopia.

  • Uday Kulkarni, PhD - Arizona State University

    Dr. Uday Kulkarni is an associate professor of information systems at Arizona State University's W. P. Carey School of Business. He teaches courses on business intelligence, decision making with data analytics, business analytics strategy, business intelligence strategy, and IT management and strategy. He also serves as the faculty director of the online master of science in business analytics.

    His research centers on decision support and knowledge-based systems, knowledge management assessment, and business intelligence capability. His work has been published in several prominent journals, including the Journal of the Association for Information Systems, the Journal of Enterprise Information Management, and the International Journal of Knowledge Management. Dr. Kulkarni is also the recipient of several teaching excellence and outstanding faculty awards.

    Dr. Kulkarni completed his doctorate in management information systems at the University of Wisconsin, his master of business administration (MBA) in information systems and finance at the Indian Institute of Management, and his bachelor of technology degree at the Indian Institute of Technology.

  • Zhongju Zhang, PhD - Arizona State University

    Dr. Zhongju Zhang teaches information systems and data analytics courses at the W. P. Carey School of Business at Arizona State University. He also serves as the co-director of the Actionable Analytics Lab in the Department of Information Systems. He teaches courses on predictive modeling, data and text mining, forecasting, and business analytics strategy, as well as a seminar on information systems research methods.

    Presently, Dr. Zhang's research focuses on big data analytics, user behaviors, and decision choices related to digital platforms and social media. His work also explores sharing economy business models and effects. He has been published in renowned journals including the Journal of Management Analytics, the Decision Sciences Journal, and the European Journal of Operational Research.

    Dr. Zhang earned his doctorate in information systems with a minor in economics and operations research from the University of Washington, his master's degree in computer science and information systems from the National University of Singapore, and his bachelor's degree in computer science from Xi'an Jiaotong University in China.

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