Big Data in Astronomy introduces students to the emerging field of astroinformatics, where astronomical data sets are analyzed and interpreted using advanced computational techniques. This course focuses on the challenges and opportunities presented by big data in astronomy, exploring topics such as data acquisition, management, analysis, visualization, and interpretation. Students will develop the skills necessary to handle large-scale astronomical datasets, extract meaningful information, and apply computational tools and techniques to address complex astronomical questions. Through hands-on projects and practical exercises, students will gain proficiency in astroinformatics and contribute to cutting-edge research in the field.