In today’s fast-changing technology landscape, many people consider upskilling and switching careers to focus on data science and cyber security. However, understanding the scope of these fields and breaking into them can take time and effort. The whole thing can be little challenging for those who have limited experience in some areas.
So how can you figure out which data size to pursue, how to get started, and whether it’s the right fit for you? If you’re already familiar with these fields and want to explore your options further, Then We can help you determine which career path suits your skills and interests best.
What Is Cyber Security?
Cyber security means protecting the internal systems of computers, networks, & some personal data from any type of internal or external threats. Cybersecurity aims to store sensitive information from unauthorized access that can damage and steal your data.
What is Data Science?
Data science uses tools and techniques to analyze raw data and uncover new trends. This process includes five phases which are planning, explaining, deploying, evaluating, and importantly monitoring. Accuracy is crucial when deploying models, and having access to relevant data is essential for a data scientist to succeed. First.
Salary Expectations for Cyber Security Professionals vs. Data Science Professionals
According to the latest reports, cyber security specialists in the United States are US$94,794, whereas, in India, it is 110,597.
The US-based data scientists make an average salary of US$124,074 annually, while the wages of Indians are US$830,319.
Common cybersecurity career paths vs Data Science
After having a certification in Cyber Security, you have different paths depending on your skills.
1:- Penetration tester
Common salary: $86,000 on a yearly basis
- IT analyst,
- IT auditor
- Network administrator
2:- Cybersecurity engineer
Common salary: $96,000 on a yearly basis
- Security analyst,
- IT auditor,
- Penetration tester
3:- Cybersecurity architect
Common salary: $128,000 on a yearly basis
- Penetration tester,
- Network engineer,
- Security auditor
Career Scope in Data Science
The popularity of data science is increasing, attracting more students and professionals due to the growing demand for Data Scientists. These are some examples of jobs related to data science:
- Data Scientist
- Engineer of data
- Product Manager
- Main Data Scientist
Data Science vs Cyber Security Work Environment
Data scientists’ jobs like cybersecurity are now being high demand because most of the industry asks for skills related to this. For example, they are required for the technology industry by companies in finance, healthcare, retail, and the public sector, to prevent unauthorized access to users.
Regular 9 to 5 office schedules for remote and hybrid positions are easily available. The responsibilities of people working here are autonomous and independent, though they work as an IT, data, or security team.
Both professionals may work directly or indirectly as freelancers or independent contractors. Both professions may have many similarities, there are also significant differences.
Cybersecurity vs. Data Science: Conclusion
Deciding whether to pursue a career in data science or cyber security can be difficult since both fields present numerous job prospects. To make a well-informed choice, assess your current skills, recognize the skills you can learn, and establish your career objectives. Ultimately, the profession that aligns with your interests will likely be the most fitting option for you.
What is the difference between a career in cyber security and data science?
The primary goal of cyber security is to secure computer systems, networks, and data against unauthorized access or cyber-attacks. Data science, on the other hand, entails analyzing and interpreting massive amounts of data in order to derive useful insights and help decision-making processes.
What skills are required for a career in data science?
Data science necessitates knowledge of programming languages such as Python or R, statistical analysis and modeling, data visualization, machine learning techniques, database administration, and critical thinking.
Which career path offers better job prospects?
Both cyber security and data science offer promising job prospects. The demand for skilled professionals in both fields is high and expected to grow in the future.
Can I transition from one career path to the other?
Transitioning from one career path to another is possible but may require additional training and skills development. Some skills, such as programming and analytical thinking, are transferrable between the two fields.
Can I combine both cyber security and data science skills in my career?
Yes, it is possible to combine both cyber security and data science skills in your career. This combination can be advantageous, particularly in roles that involve analyzing security-related data or implementing data-driven security solutions.