Unofficial transcripts now accepted. The Final Application Deadline to join the November cohort is September 4.

Career Outlook for Data Scientists

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.

Faculty Spotlight: Ginger Holt

Ginger Holt, who previously taught Quantifying the World in the online master's in data science program, answers a few questions about her focus on practical applications of data science in the real world, including her current role with Facebook’s data science team.

Faculty Spotlight: David Lary

David Lary, who teaches Machine Learning in the online Master of Science in Data Science program at SMU, answers a few questions about his passion for data-driven service, his extensive background spanning decades, and the benefits as well as advancements in machine learning.

Faculty Spotlight: Ira Greenberg

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.

DataScience@SMU Student Spotlight: Sam Coyne

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.

Finding Meaning In Data: How Dallas/Fort Worth Airport is Optimizing Business Outcomes

Around the world, the airline industry is continually seeking new methods to improve operations and enhance the customer experience. And increasingly, it’s using big data and data analytics to do it. For Immersion 2016, DataScience@SMU invited Steve Shaffer External link , CIO of Dallas/Fort Worth International Airport External link  (DFW), to share his thoughts on ways to find meaning in data in relation to the airline industry. Here, we’ll highlight the opportunities and advantages for big data and analytics in airport optimization that Shaffer sees — as well as how other players in the industry are aligning with such efforts.