Welcome to this special Techal article where we’ll explore the optimal choice for aspiring data scientists: a data science (DS) degree or a computer science (CS) degree. Both paths have their pros and cons, so let’s dive in and find out which one is better for a successful career in data science.
Contents
Pros and Cons of a Data Science Degree
One major advantage of earning a data science degree is its signaling power. Having “data science” on your resume immediately catches the attention of potential employers and increases your chances of getting the job. With a data science degree, employers believe that you possess both the programming skills and the analytical understanding required for the role.
However, one major drawback is the limited availability of data science programs. While the field is relatively new, many universities still do not offer undergraduate or graduate programs in data science. This scarcity often leads students to choose alternative concentrations, resulting in a loss of interest in data science before graduating.
The Self-Created Data Science Degree
To overcome the availability issue, some universities allow students to create an interdisciplinary major that combines relevant courses from various departments. By combining courses in math or statistics, computer science, and social science, you can construct a comprehensive data science degree without unnecessary coursework.
While this option may not be available everywhere, finding a reputable university that offers such a program and providing evidence of equivalent courses can lend credibility to your self-created degree.
Pros and Cons of a Computer Science Degree
A computer science degree provides a solid foundation for a data science career. It is widely recognized and understood by employers, making graduates favorable candidates. Additionally, computer science degrees typically include programming languages and discrete math, which are fundamental to data science.
However, the market is saturated with computer science graduates, leading to intense competition for job opportunities. While a CS degree offers flexibility and the ability to transition into related roles, it may require additional learning for data science-specific skills and a shift in mindset from deterministic thinking to probabilistic thinking.
Comparison and Conclusion
When comparing the two degrees, computer science currently holds the advantage due to its widespread recognition and availability. Landing internships is more likely with a computer science degree, and elite institutions often offer CS programs, increasing the chances of becoming a data scientist.
Though data science is a growing field, it takes time for trends to shift. The demand for computer science graduates is currently higher in the job market. However, employers value experience and skills more than academic credentials, so gaining real-world experience in data science will not hinder your progress.
In conclusion, while both degrees have their merits, a computer science degree is the better choice for a data science career at present. However, as the field evolves, the pattern may shift, and data science could become the preferred option. Regardless of your choice, gaining experience and honing your skills will be key to success in the field.
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FAQs
Q: Can I become a data scientist with a different quantitative degree?
A: Yes, many data scientists come from quantitative backgrounds such as math or statistics. However, acquiring data science-specific skills is crucial.
Q: Should I create a self-designed data science major?
A: If your university allows it and offers relevant courses, a self-created data science major can be a credible option.
Q: Is programming knowledge necessary for a data science career?
A: Yes, coding skills are essential for data scientists, as they need to work with and manipulate data using programming languages.
Conclusion
Choosing the right degree for a data science career is crucial. While a data science degree offers signaling power and a specialized focus, the availability may be limited. On the other hand, a computer science degree provides a solid foundation, widespread recognition, and flexibility in career paths. Currently, a computer science degree is the better choice, but as the field evolves, data science may become the preferred option. Remember, gaining experience and developing your skills are key to success in the ever-evolving world of technology.
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