Cyber security refers to a collection of methods and technologies that govern the protection of networks, systems, devices, data, and programs against various types of malware and cyber-attacks.
Data Science is a collection of tools, machine learning, and algorithms that collaborate to uncover hidden patterns in raw, unaltered data.
Key Takeaways
- Cybersecurity protects computer systems and networks from unauthorized access and attacks, while data science focuses on analyzing and interpreting large data sets.
- Cybersecurity requires various security protocols and techniques, while data science requires statistical analysis and machine learning knowledge.
- Cybersecurity is more reactive than data science, as it responds to threats as they occur. Data science is more proactive, seeking to uncover insights and patterns before problems arise.
Cybersecurity vs Data Science
Cyber security is the study of monitoring security and protection of computer systems and networks and the data stored on them from malicious attacks. Data science is a multidisciplinary study of raw data to extract valuable information from it and construct models and draw actionable insights.
Cyber security’s main goal is to secure and protect networks and data from unauthorized access. Learning is an ongoing process for cyber security analysts and experts.
They must keep up with various technologies and applications to be prepared to deal with any potential risks.
A degree in computer science, information technology and security, computer engineering, or any similar area that offers a degree related to a specialty in cyber security is required to become a cyber security analyst or expert.
The most fundamental goal of Data Science is to extract useful data and convert it into more organized and specialized collections of data through processing.
To work as a data scientist, you must have a wide range of analytical and technological skills.
A data scientist’s job is to evaluate and collect a significant amount of unstructured and structured data. A data scientist’s beginning salary is higher than that of a cyber security analyst.
Comparison Table
| Parameters of Comparison | Cybersecurity | Data Science |
|---|---|---|
| Objective | To secure and protect networks and data from any type of unauthorized access. | Extraction of valuable information and their conversion into organized and more specialized sets of data. |
| Starting salary | Comparatively Lower | Comparatively higher |
| Education | A simple degree in the field would work. | A higher qualification in the field is required. |
| Update | Needs to stay updated. | Skills one learns would be enough. |
| Role | Protect the network and data of the employer. | Analyze and gather unstructured and structured information. |
What is Cybersecurity?
As an employee, a cyber security analyst or professional’s job is to defend the company’s network and data.
A degree in computer science, information technology and security, computer engineering, or any other comparable area that offers a degree related to a specialty in cyber security is required to become a cyber security analyst or expert.
Learning is a never-ending process for cyber security analysts and experts. They must stay current with various technologies and applications to be prepared to deal with any potential risks.
A Cyber security analyst, expert, or professional’s beginning wage is slightly lower than that of a Data scientist.
Cyber security is a vast ocean of processes and technologies that govern the safeguarding of networks, systems, devices, data, and programs from various sorts of malware and cyber-attacks.
Cyber security’s main goal is to secure and protect networks and data from any sort of illegal access.
What is Data Science?
A data scientist’s job entails analyzing and gathering a significant amount of unstructured and structured information and data. An undergraduate degree in any discipline related to data science is required to work as a data scientist.
Afterward, an individual must obtain a master’s degree in the same field before looking for work. To work as a data scientist, an individual must possess a wide range of analytical and technological skills.
A data scientist’s beginning salary is significantly more than that of a cyber security analyst. Data Science is a collection of tools, machine learning, and algorithms that work together under the guise of a shadowy set of patterns derived from raw, unaltered data.
The most important goal of Data Science is to extract valuable data and convert it into more organized and specialized collections of data through processing.
Main Differences Between Cybersecurity and Data Science
- Cyber security is an ocean of processes and technologies that control the protection of networks, systems, devices, data, and programs from different types of malware and cyber-attacks. On the other hand, Data Science is the amalgamation of a variety of tools, machine learning, and algorithms that work together under a covered set of shadowed patterns from raw and unaltered data.
- The important objective that is possessed by Cyber security is to secure and protect networks and data from any type of unauthorized access. On the other hand, the most important objective of Data Science is the extraction of valuable information and their conversion into organized and more specialized sets of data by processing them.
- For Cyber security analysts and professionals, the process of learning never ceases. They are required to stay updated with different types of technologies and software so that they would be able to tackle any kind of potential threats. On the other hand, to become a data scientist, an individual is required to be well versed with a variety of analytical and technical skills.
- The role of a cyber security analyst or professional as an employee is to protect the network and data of the employer. On the other hand, the role of an employee as a Data scientist is to analyze and gather a large amount of unstructured and structured information and data.
- To become a cyber security analyst or expert, an individual requires to possess a degree in computer science, information technology and security, computer engineering, or any relevant discipline which offers a degree related to specialization in cyber security. On the other hand, to become a data scientist, an individual must possess an A undergraduate degree in any field related to data science. Afterward, it is required to earn a master’s degree in the same field before an individual looks for employment.
- The starting salary of a Cyber security analyst, expert, professional is slightly lower than that of a Data scientist. On the other hand, the starting salary of a person specializing in data science is comparatively higher than that earned by a cyber security analyst.
- https://link.springer.com/article/10.1186/s40537-020-00318-5
- https://link.springer.com/chapter/10.1007/978-3-030-38788-4_6
Last Updated : 13 July, 2023
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Sandeep Bhandari holds a Bachelor of Engineering in Computers from Thapar University (2006). He has 20 years of experience in the technology field. He has a keen interest in various technical fields, including database systems, computer networks, and programming. You can read more about him on his bio page.
