Engineering

50% is the cut off.
Candidate must have passed any recognized BCA / bachelor's degree in computer science engineering or equivalent degree and obtained an aggregate minimum of 50% marks (45% of marks in case of SC, ST and Category-I of Karnataka candidates) taken together in all the subjects in all the years of the Degree Examination from any recognized institute/university. OR Candidate must have passed B.Sc. / B.Com / B.A. with Mathematics at 10 + 2 level or at Graduation level (with additional bridge courses as per the norms of the concerned University) and obtained an aggregate minimum of 50% marks (45% of marks in case of SC, ST and Category-I of Karnataka candidates) taken together in all the subjects in all the years of the Degree Examination from any recognized institute/university. Final year students can also apply on provisional basis.

I am now pursuing a master's degree in full stack software engineering via an online institution. After much consideration, I decided for NIIT, and I'm glad I did. Taking their courses is a great way to get started in the fields of data Science and analytics. Since they take a hands-on approach to teaching and provide a wide range of interesting assignments, their pupils quickly come to respect and like them. All of the teachers are active experts in their fields, and they are happy to share their knowledge with you in the classroom. Their personalized attention ensures that you are always well-versed in the most current developments in the field of data Science. The curriculum not only helps you prepare for interviews, but also ensures you'll find work after you graduate.

Computer programmers create software. Systems are constructed by software engineers. As far as I can tell, that's the main difference. It's one thing to create a software that really does anything. It's another thing entirely to design a software that works and can interact with a wide variety of other programs. And it's an entirely different thing to write a programme that can work with many other programs, run many instances of these programs simultaneously so you can handle massive transaction volumes, and then figure out how to keep the whole thing running when one or more of the programs is failing, especially since a failure in one programme usually results in the effects of the failure cascading through. Scalability, error detection and correction, fault tolerance, analysis of failure, monitoring, tuning, alerting, privacy protection, and the management of scarce resources are all part of software engineering. Most programmers won't encounter issues like that. And that's how people become software engineers in the first place: because they have to.