Looking for information on career paths that involve STEM? You’ve come to the right place. Below are links to profiles of a number of careers in this field, as well as links to descriptions of how data science and analytics affects different industries.
Master of Science in Applied Data Science
Syracuse University’s online Master of Science in Data Science can be completed in as few as 18 months.
Complete in as little as 18 months
No GRE scores required to apply
Southern Methodist University
Master of Science in Data Science
Earn your MS in Data Science at SMU, where you can specialize in Machine Learning or Business Analytics, and complete in as few as 20 months.
No GRE required.
Complete in as little as 20 months.
University of California, Berkeley
Master of Information and Data Science
Earn your Master’s in Data Science online from UC Berkeley in as few as 12 months.
Complete in as few as 12 months
No GRE required
Master of Science in Business Analytics
Looking to become a data-savvy leader? Earn your online Master of Science in Business Analytics from Syracuse University.
Discover whether you’re an analyst by nature or an engineer by inclination. On each page, you’ll find a short definition of the role and a list of what your daily tasks might be. Keep in mind that responsibilities will vary from job to job.
In this “checklist” section, you’ll learn more about what employers want for:
We’ll be the first to admit that details are subject to change. When in doubt, check recent job boards for comparison.
Confused about the difference between a data architect and a data engineer? How about a statistician versus a data scientist? In your search for employment, you’ll encounter a lot of overlap between job titles. We’ve done our best to clear up any confusions and point you in the right career direction.
Technology jobs that exist today may well not exist tomorrow. We discuss the trends that could affect each position.
Finally, we’ve provided links to organizations that can aid you in your climb to the top of your profession.
Pursue professional certification from specific vendors
Contribute to open source projects
Apply for data science internships
And don’t underestimate the importance of soft skills. Time and again, employers reject job candidates who don’t have communication and/or problem-solving abilities. Remember that most data experts spend a fair amount of time collaborating with non-technical team members. You need to know how to explain what you’re doing.
Network Like Hell
Your best source of job information are your mentors, professional colleagues and favorite bloggers/authors. They can give you real-world advice on the pros and cons of each job, including the challenges currently faced by the industry. They may even be in a position to direct you towards a career.
The technology job you have today is not going to be the job you will have in a year. Or in 5 years. Or in 10. If the history of data science teaches us anything, it’s that industries morph as fast as technology. Concentrate on your strengths, remedy your weaknesses and stay open to new opportunities.
Interested in a different career? Check out our other bootcamp guides below: