Considering a career in data science? Wondering what exactly that entails? Welcome to your complete guide to professional advancement. We had fun writing it. We hope you’ll have fun reading it.

The Definition of a Data Scientist

Data science was developed to handle the flood of big data engulfing the world. A blend of statisticians, computer scientists and creative thinkers, data scientists have the:

• Skills to collect, process and extract value from giant and diverse data sets
• Imagination to understand, visualize and communicate their findings to non-data scientists
• Ability to create data-driven solutions that boost profits, reduce costs and even help save the world

Data scientists work in every industry – from the Defense Department to Internet start-ups to financial institutions – and tackle big data projects on every level.

The Data Science and Analytics (DSA) market is expected to need over 300,000 big data professionals by 2020, according to The Quant Crunch: How the Demand for Data Science Skills is Disrupting the Job Market. As data problems become more complex, many big companies are demanding advanced degrees. Some of the industries employing data scientists include:

• Pharmaceuticals
• Computer Software
• Internet
• Research
• IT and Services
• Biotechnology

As of January 2018, the average salary for data scientists, as reported by Glassdoor, is over $100K. The salary range varies from company to company and with years of experience.

Schools Offering Master’s Programs in Data Science

Ready to make the leap? In our annotated list of great schools, you’ll find information on each program’s:

• Location and length
• Full-time, part-time and online options
• Concentrations and majors
• Courses, internships and real-world opportunities

Look for quality. Universities are scrambling to offer new degrees, but there’s no guarantee they’ll be worth the investment. Research the background of the program and professors. Search for solid partnerships with businesses and research institutions. Ask about job placement figures. You deserve a practical qualification.

Data Science Industries

Focusing on a particular industry? We’ve created a reference for past, present and future to help you prepare for what’s ahead. On each industry page, you’ll discover:

• A condensed history of data science within the field
• Current opportunities and developments
• Examples of vendors and big data projects
• Data-related risks and regulations

We don’t discuss many typical day-to-day tasks or job titles primarily because these vary widely among employers. Indeed, the first requirement on many job listings is flexibility.

Data Science Blog

Need more guidance? Grab a cup of coffee and browse our data science blog. We’ve included articles such as:

• Data Scientist Foundations
• Open Source Tools for Big Data Analysis
• New Technologies in Data Science

They’re all designed to provide you with a practical knowledge base to help launch your career.