Which is a better option data science vs software engineering?

Question

Ajay Kaparwan · Accepted Answer

Data Science and Software Engineering are the two popular fields in the information technology industry. In fact, the jobs in these two roles have been constantly increasing, especially in the past few years. So let&rsquo;s understand which field is a better one for you. 
Let&rsquo;s first discuss what are the two fields, let&rsquo;s first come to data science, so data science is a domain in which several scientific processes and methods are used to study different kinds of data which are structured as well as unstructured. In Data Science there is a use of a lot of technologies such as Artificial Intelligence, Machine Learning, Data Mining, etc to extract valuable insights from data.
Now let&rsquo;s come to software engineering, Software Engineering serves as the foundation for understanding software in Computer Science. We can say that software engineering is the process of developing software by systematically applying engineering principles. The entire process of software engineering involves planning, designing, building, and testing the software application. 
These are the roles that are in the domain of data science:

Data Analyst
Quantitative Analyst
Business Intelligence Analyst
Business Analyst
Systems Analyst
Marketing Analyst
Operations Analyst

The roles in the field of software engineering are as follows:

Front End Engineers
Back End Engineers
Full-Stack Engineers
Mobile App Developers
Graphics Engineer
Game Engineer
Data Engineer
DevOps Engineer
Software Development Engineer in Test
Embedded Systems Engineer
Security Engineer

The salary of a data science professional is around $55k per annum at the entry-level and after a good amount of experience, it can rise upto $105,000 per annum. At the entry level, an average software engineer earns upto $60k per annum and after a good amount of experience and expertise, the salary can rise upto $120,000 per annum. 
These were the facts and numbers, both fields are highly rewarding and both of them are in high demand. In the end, it will your decision only which one you need to pursue according to your interest and goals. 
By the way, do you know what are the top 3 most high-paying employers of data science professionals?