Which is a better option data science vs software engineering?

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’s understand which field is a better one for you. 

Let’s first discuss what are the two fields, let’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’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?