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Here is the comparison between the most in-demand fields Cyber Security vs. Data Science

Todays IT-intensive environment has taught us two important lessons: we need solutions to transform tidal surges of data into something that organizations can utilize to make educated decisions. We must safeguard that data and the networks on which it is stored.

As a result, we have the fields of data science and cyber security. So, which is the better job path? You wont get far if you approach the debate between cyber security vs. data science in terms of which field is more in demand. Both fields are in desperate need of a workforce.

Cyber security is the discipline of securing data, devices, and networks against unauthorized use or access while assuring and maintaining information availability, confidentiality, and integrity. A career in cybersecurity entails entering a thriving industry with more available positions than qualified applicants.

Data science combines domain knowledge, programming abilities, and mathematical and statistical knowledge to generate usable, relevant insights from massive amounts of unstructured data, often known as Big Data.

A career in data science includes carrying out data processing responsibilities, data scientists often use algorithms, processes, tools, scientific methods, techniques, and systems, and then apply the derived insights across multiple domains.

Data science and cyber security are inextricably linked since the latter demands the defences and protection that the former supplies. To obtain their conclusions and assure the security of the resultant processed information, data scientists require clean, uncompromised data. As a result, the area of data science looks to cyber security to assist protect the information in any form.

For someone interested in a career in one of the more intriguing and busy IT disciplines, cyber security and data science present fantastic chances. The career trajectories in both fields are comparable.

Experts in cyber security often begin their careers with a bachelors degree in computer science, information technology, cyber security, or a related profession. Aspirants in the field of cyber security should also be proficient in fundamental subjects like programming, cloud computing, and network and system administration.

The prospective cyber security specialist joins a corporation as an entry-level employee after graduating. After a few years of work experience, its time to apply for a senior position, which normally calls for a masters degree and certification in a variety of cybersecurity-related fields.

Cyber security experts choose career paths like security analyst, ethical hacker, chief information security officer, penetration tester, security architect, and IT security consultant.

Data scientists demand more formal education than cyber security specialists. A masters or even a bachelors degree isnt required for cybersecurity professionals, though having those resources helps. A bachelors degree in data science, computer science, or a similar branch of study is required for most data science professions. After a few years in an entry-level role, the ambitious data scientist should seek a masters degree in Data Science, reinforced by a few relevant certifications, and apply for a position as a senior data analyst.

Data science experts choose career paths like data engineer, marketing manager, data leader, product manager, and machine learning leader.

According to Glassdoor, the average yearly salary for cyber security specialists in the United States is US$94,794, whereas this figure is 110,597 in India.

In the field of data science, Indeed reports that US-based data scientists make an average salary of US$124,074 annually, while their Indian counterparts earn an average salary of US$830,319 annually.

Depending on demand, the hiring of certain individuals, and the location, these numbers frequently change.

Read more:

Cyber Security vs. Data Science Which Is the Right Career Path? - Analytics Insight