Capstone Project

3 Credits · Level: Graduate

The Capstone Project course is designed to equip students with advanced research methodologies for developing impactful data science projects, alongside the principles of effective scientific writing. Students will engage in real-world, collaborative projects under the joint supervision of internal faculty members and external industry mentors. Through an immerse curriculum, students will learn the principles of research questions development, research methods selection, effective results interpretation, scientific writing, journal paper submission, peer review, authorship, and communicating scientific ideas to academic and non-academic audiences. In addition, this course will provide guidance on paper publishing, including how to identify an appropriate journal, navigating the selection process, editing, and measuring impact. Ideal outcomes include improved self-editing, development of effective strategies for offering and receiving concise editorial recommendations among peers and finalizing a research paper to be submitted to academic publications (e.g., journal, conference, research reports, etc.). Capstone projects are designed to bridge theory and practice and foster meaningful collaboration with academic researchers and industry mentors. These projects are expected to generate substantive contributions to students’ professional development and future career trajectories. This course is particularly well-suited for students interested in academic research practices and/or pursuing doctoral studies. While publication cannot be guaranteed, students will fully engage in the scholarly experience of preparing a high-quality research paper for academic review. Prerequisites: DSAN 5000 , DSAN 5100 , DSAN 5300 ; Knowledge about data science, introductory statistics, statistical learning, and coding experience in R and/or Python. 3 credits. Offered in the Fall semester.