IBM estimates that 90% of all data in the world today has been created in the last two years. That explosion of readily available information has produced a boom for data scientists equipped with the skills to help shape the big data industry.
USF’s Data Science program leverages San Francisco’s influential, innovative technology culture. There’s no better place to acquire the skills for an evolving industry than at the center of its transformation. Predicting consumer behavior, extracting information from medical images, uncovering hidden stock market indicators, studying human genetic structure—our students graduate ready to acquire, manage and explore the data that’s inspiring change around the world.
Careers in Big Data
According to market research firm IDC, the big data industry is expected to grow from $3.2 billion in 2010 to $16.9 billion by 2015. And that surge will translate to more jobs — 4.4 million globally, predicts Gartner, an information technology research and advisory firm.
Data scientists are highly sought after across a variety of industries around the San Francisco Bay Area and the world. So what does a data scientist do?
Big data has transformed how companies operate their e-commerce business. Retargeting campaigns, predictive modeling and customer service all rely on data generated from commercial websites to improve products and increase sales.
In 2013, The Centers for Disease Control and Prevention (CDC) found that 78% of physicians in the U.S. were using an electronic health record (EHR) system. This growth is providing data scientists with the opportunity to more effectively track drug trials, map human DNA, monitor patients remotely, and predict the spread of disease.
Business and Finance
Big data is driving huge business. From analyzing day-to-day transaction information to tracking inventory, monitoring in-store traffic to optimizing high frequency trading, data scientists are crucial to the decision making process.
What and where we click and post online is a goldmine for data scientists. Working with data generated from social networking sites, they are able to target advertising by location or personal preferences and improve customer service.
Nearly every field of science — genetics, biotechnology, particle physics, climatology, and chemistry - relies on large datasets to advance its research. Data scientists have more information than ever before, and they’re scrubbing, sorting, and synthesizing it at a rapid pace.