Why earn your online M.S. in Data Science?
A recent report by IBM Marketing Cloud indicated that 90% of all data in the world had been produced in just the two previous years.* And the rate of data creation continues to grow at an astounding pace: Projections indicate that as early as 2020, 1.7 megabytes of data will be generated every second for everyone on the planet.**
And as business, communication, entertainment, and information go increasingly digital, organizations across all industries will need bold data science leaders to explore the data, manage teams, and create strategies informed by empirical evidence.
When you earn your online master’s degree in data science at Maryville, you get the opportunity to study with a faculty of data science experts as you learn the top skills that employers demand. In our program, you can build your proficiency in areas like coding in R, SQL, Python, and SAS; machine learning; data mining; big data; and deep learning. You also can personalize your educational experience through a variety of elective courses that cover topics like statistics and probability, business, and actuarial science.
Our master’s program doesn’t just help you build these skills. We help you put them to work, so you can become proficient — and then lead your team or organization as the field evolves. By collaborating with employers across industries, we designed a degree that can help you lead in your current career as you prepare for future opportunities in data science.
*IBM Marketing Cloud, “10 Key Marketing Trends for 2017”
**Domo.com, “Data Never Sleeps 6.0”
Not quite ready for a full master’s degree? We’ve got you covered.
We offer two online professional certificate programs related to data science that can give you a more streamlined approach toward earning a graduate-level education.
If you already have your bachelor’s degree, you can earn your professional certificate in big data or machine learning, and you can start building graduate-level understanding in one of these in-demand fields in just five classes (15 credit hours), less than half the time of a full master’s degree. Then, if you decide to continue your education, you can apply all 15 credits toward a future master’s in data science.