The DataScience@SMU Blog

When people think of data science they correctly associate it with big data and usually think of Silicon Valley. But the alternatives to “The Valley” are surprising, and trends in this field (like many others) are skewing to disruption. Smart students and motivated professionals of all ages are finding that earning a master’s degree in data science allows them to transition into a new field, or grow in their current one, in many different parts of the United States.

Q&A with Carrie Garcia, DataScience@SMU student. Balancing school with her professional and growing family life, Garcia has little time to spare in her schedule. Carrie disscusses how an online data science program is helping her to make more data-driven decisions in the world of marketing. 

Many students want the opportunity to interact with peers, faculty and industry leaders in person – and relax in a beautiful campus environment. That’s why DataScience@SMU offers SMU Immersion, a unique component of our curriculum that helps students improve their skills and knowledge – and become better job candidates in the process. This year’s event took place July 21–24 and made a big impact on those who attended.

Q&A with Moorthy Manickam, DataScience@SMU student. Working from home for the last nine years, Manickam knows how to draw the line between his professional life and his personal life. Manickam discusses why he prefers the online classroom to the on campus classroom. 

Q&A with Kevin Durham, DataScience@SMU student. Durham discusses his career shift to fill his lack of fullfillment and how earning a Master of Science in Data Science is preparing him for his future goals.

The natural language programing paradigm builds on the premise of getting machines to read and understand natural human language, like English. These form the basis for the advanced form of computing called cognitive computing.