Data science vs Cyber security

Data science vs Cyber security

Data Science VS Cyber Security


In today’s technological world, there are at least as many data scientists as security experts. The demand for expertise in both subjects is so great that it can be challenging to find people who have a solid command of both fields. If you’re considering a career change and want to shift from being an expert in cyber security to an expert in data science, you’ll need to know how the two professions are similar and where they differ. This is your quick-start guide to making that change.


What’s Similar?


– Both Data Scientists and Cybersecurity Experts work with big data

         – The methodologies for dealing with big data are similar

         – Both professions rely on math, statistics and coding

         – Data Scientists and Security Experts need to keep up with the latest developments in their fields


What’s Different?


You probably know that cyber security experts attempt to protect their companies from computer hackers. But what does a data scientist do? Data scientists collect, organize and analyze data for their employers. Their work can range from helping a company run its finances to assisting a group of researchers in creating a drug that could save thousands of lives.


The first thing you’ll notice is that data science isn’t as concerned with protecting systems as cyber security experts are. The data scientist’s work will be made infinitely easier if those systems are as porous as possible. Data scientists don’t need to worry about hackers because the hackers do their hacking. The data scientist merely needs to acquire and use that information for their clients.


Data science also differs from cyber security in that data scientists’ primary responsibilities lie in collecting information. This is done primarily through research and design, the first steps of any data science project. Once companies have collected all their data, they can turn it over to their data scientists for analysis.


This means that cyber security experts are more likely to work with what’s already been created, while data scientists are more likely to be involved in the design process.


Considering A Career


If you’re considering a career change, keep these differences in mind as you map out your next steps. Data scientists and cyber security experts will need to learn math, statistics and coding skills, but they’ll use those skills differently. Since data science is more academic than cyber security, academics are more likely to be involved with the data science process. And, of course, cyber security experts are more likely to be on-site while data scientists are more likely to work remotely.


While it’s certainly possible for people of any profession to move into data science or cyber security, some career changes are easier than others. For example, if you’re an accountant looking to switch over to cyber security, you’ll encounter few roadblocks (excluding certification requirements). However, if you’re an artist or a lawyer looking to switch to data science, it may be harder for you to find employment in your new field.


Of course, there’s no reason why someone with a completely unrelated degree can’t learn how to work with massive data sets. But if you don’t have a natural aptitude for math or statistics, it will be harder for you to make the switch.


If you decide to make the change, your best bet is to focus on cyber security and data science programs that offer real-world projects rather than just theoretical knowledge. These projects will give you hands-on experience that you can parlay into a new career.


Finally, keep in mind that data scientists often begin their careers as statisticians or mathematicians before moving into data science. So if you don’t already have a background in mathematics, think about whether it’s worth your time to begin studying it now.


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