Online Master's in Data Science

Boost your career with a master's in data science Business Insider cites data scientist as the highest paying job for college graduates, at $95,000 per year. PayScale indicates that the average salary of an MCS degree-holder is about $18,000 more than those who only hold a bachelor’s degree in computer science. The projected 5-year growth for data science salaries ranges from 14 to 28%.

Coursera offers data sciences degrees from leading universities around the world: University of Illinois Champaign Urbana, University of Michigan, Higher School of Education from Russia, Imperial College of London and University of Colorado Boulder. These degrees from top-quality programs teach the underlying fundamentals that help students pursue a long-term career, no matter how their field changes over the years.

Transform your career with a master’s at an accessible price. Cost of higher education has made education out of reach to many people around the world. Although education programs focused on data science often boast about six digit data scientist salaries, cost is still one of the primary decision factors for many students considering degrees. Degree programs offered on Coursera often times are as little as half the cost as their on-campus counterparts.

With skills in data mining, cloud computing, data visualization and machine learning, you will be able to continue your job while earning your degree from a leading university. In as little as three years, you will be ready to accelerate your career in data science.

Try your first course risk-free & start working towards your Data Science degree today. Start learning right away with an open degree course, Specialization, or MasterTrack™ Certificate and make progress on your own schedule. If you are accepted into the degree program, your completed work can count towards your degree. Select one of the Master’s programs above and try a Data Science online course that you can start today.

Learn data science skills on a platform designed to engage students. Data scientists learn by doing. While theory is an important foundation to build when creating powerful tools that manipulate large data sets, students must be engaged and practices as they enter the field of data science. In order to understand everything from experiment design to creating more complex models for use in predictive analytics & scoring engines, data science students must be working in platforms that simulate real data science environments.

Degrees offered on Coursera in data science often leverage applied projects that take advantage of programming environments data scientists use professionally every day. With forums on the platform, Slack, and Zoom for office hours & ad-hoc meetings, students have a number of resources that help drive an engaging data science learning experience.