An important note is that if you are hoping to get to know a specific profession, you should look toward interning more so than a major. A major is much more theoretical and academic whereas an internship will give you practical, real experiences as to what to expect from a profession.
Michelle recommends the following next steps:
"Career flexibility" is a mixed blessing if your sole reason for seeking higher education is gainful employment. It's a lot easier to tailor a resume for an accounting job, for example, if you majored in Accounting.
But, if you ask me, the goal of higher education or vocational training is not to slot yourself into a particular job, but to create a trajectory for a life doing what you enjoy. Just be prepared, when applying for a job, to state your case of how your CogSci background will serve a particular job description.
With technical training in data analysis, programming:
Data representation and retrieval
Human factors engineering
Human performance testing
Speech synthesis and voice recognition
With less technical training:
Other common job titles of cognitive science graduates include the following:
*Computer resource specialist.
*Legal research analyst.
And many more
"The main difference between CPU and GPU architecture is that a CPU is designed to handle a wide-range of tasks quickly (as measured by CPU clock speed), but are limited in the concurrency of tasks that can be running. A GPU is designed to quickly render high-resolution images and video concurrently."
The human brain behaves more like a GPU.
This compute capacity lends itself to Artificial Intelligence, super computing, machine learning, robotics and a host of very trendy areas, which means current or future careers.