Cybersecurity:
Cyber security refers to practices, technologies, and processes designed to protect networks, devices, programs, and data from attack, damage, or unauthorized access. It encompasses a range of measures to guard against cyber threats such as viruses, ransomware, and phishing attacks. Effective cybersecurity involves multiple layers of protection across the computers, networks, programs, or data that one intends to keep safe.
Data Science:
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data. It involves a blend of various techniques from mathematics, statistics, information science, and computer science, particularly from the subdomains of machine learning, classification, cluster analysis, data mining, databases, and visualization.
Key difference Between Cyber Security Vs Data Science:
Usage:
- Cybersecurity is crucial because it encompasses everything that pertains to protecting our sensitive data, personally identifiable information(PII), protected health information(PHI), intellectual property, data, and governmental and industry information systems from theft and damage attempted by criminals and adversaries.
- The data science lifecycle typically includes stages like data collection, data storage and processing, data analysis, and communication of insights through reports and visualizations.
Working :
- With the increasing number of users, devices, and programs in the modern enterprise, combined with the increased deluge of data, much of which is sensitive or confidential, the importance of cybersecurity continues to grow.
- Data science lifecycle typically includes stages like data collection, data storage and processing, data analysis, and communication of insights through reports and visualizations. This lifecycle helps turn raw data into actionable insights that can guide decision-making and strategic planning across various industries.
Demand:
- Cyber security has a high demand in the industry as its main purpose is to protect and keep the data safe from being misused, or seen by unauthorized users. It comes in data science as a part and is used by most IT workers to protect the details and company details.
- Data science is one of the fastest-growing fields due to the increasing volume of data and the valuable insights this data can provide when analyzed properly. It’s a critical field for making data-driven decisions and is often referred to as the “ sexiest job of the 21st century” due to its high demand and pivotal role in today’s data-centric world.
Career Options:
Cyber Security:
- Information Security Analyst: Focuses on protecting an organization’s computer system and networks.
- Cybersecurity Consultant: Provides expert advice to organizations on how to protect their information.
- Network Security Engineer: Specializes in designing, implementing, and maintaining secure network infrastructures.
- Ethical Hacker: Test system for vulnerabilities by thinking like a hacker.
- Chief Information Security Officer(CISO): Oversees the overall security strategy of an organization.
Data Science:
- Data Analytics: Analyze data to help businesses make better decisions.
- Data Scientist: Uses statistical analysis and machine learning to interpret complex data.
- Data Engineer: Focuses on the practical application of data collection and processing.
- Machine Learning Engineer: Specializes in designing and building machine learning systems.
- Business Intelligence Analyst: Transforms data into insights for business improvements.
Salary Packages:
Cyber Security:
- Average salary for cyber security professionals in India is approximately INR 5 lakh annually.
- Entry-level positions start with a monthly salary ranging from INR 37,564 to INR 40,765.
- With experience, the salary can increase significantly, with some professionals earning up to INR 20,56,566 per annum.
Data Science:
- Average salary for a Data scientist in India is approximately INR 9,27,349 per annum.
- For freshers, the average salary is around INR 5,77,893 per annum.
- With relevant experience, the monthly salary can range from INR 70,000 to INR 75,000, which translates to approximately INR 8.4 lakhs to 9 lakhs per annum.
- The highest salaries in the field can go up to INR 2 million per year.
These roles require technical skills like programming, machine learning, statistics, and data visualization, and soft skills such as communication, problem-solving, and teamwork. The demand for data science professionals is proliferating, making it a lucrative and exciting career path.
At EIMR, the BCA program includes a chapter on Cybersecurity, Which is focused on Cyber Crime and Cyber Law. In our BBA program, we offer a certification program specifically dedicated to Cybersecurity. Students at EIMR can build their future as data analysts, or ethical hackers, choose to study abroad, or even be entrepreneurs by building their ventures.
To learn more about the BCA and BBA programs visit our website.
