Data scientists are often tasked with coming up with cross-disciplined, scalable, data-driven solutions to problems. When Gavin Hudgeons, a student in the machine learning track at the DataScience@SMU program, saw the complexity involved in tracking speakers and topics in public meetings, he leveraged his experience from the program to create a tool to help navigate these discussions.
The DataScience@SMU Blog
Across industries, there is a growing dependency on data and the systems that hold this abundance of information. As a result, data scientists continue to be highly sought after for their technical and analytical skills. For the aspiring data expert or the curious student, this piece covers the career outlook and range of salaries for data scientists in the United States.
DataScience@SMU faculty member, Professor Ira Greenberg, is currently showing his most recent work, “Embodied Algorithm: [Re]embracing the Analog,” External link at the SMU Hamon Library Hawn Gallery. A combination computer science expert and traditional artist, Greenberg is conversant in coding and Cézanne, algorithms and abstractions. For this DataScience@SMU Faculty Spotlight, Greenberg chats about coding, art, his new exhibit, and why visualization is a skill that every data scientist needs in his or her toolkit.
Q&A with Sam Coyne, DataScience@SMU student. Sam discusses his key to success in an online program and maintaining a personal life balance that includes a passion for live music, working as an analytics specialist, and schoolwork as he progresses through the Master of Science in Data Science program at SMU.
On Saturday, December 17, 2016, degree candidates, faculty, and staff assembled in the Moody Coliseum for the all-University Commencement Convocation. The ceremony brought together disciplines from SMU’s seven degree-granting schools. Among them were fourteen graduates of the inaugural Master of Science in Data Science class.