Information Technology

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.

Mathematical reasoning is at the heart of programming. Learning to think fluently about data structures, algorithms, functions, effects, abstraction, and generalization is essential for every programmer. A issue has to be grasped, struggled with, solved, and then solved better. You need to critically consider your options, settle on a strategy that seems to have the most promise, and then figure out whether or not you can really implement it. What we have here is mathematics. Can someone who is poor at arithmetic improve their skills via practice?
To begin, there is no such thing. Mathematics covers a wide range of topics, and most people excel at some of them more than others. If you consider yourself ""poor at math, "" it's likely because you're having trouble with the math courses you're taking. This may be because they are actually tough for you, or maybe they aren't being taught in a manner that connects with you, or it may indicate that you have a profound gap in your mathematical development from when you were nine years old. This occurs often. There's no way for me, or anybody, to estimate your exact bad at math circumstance. The issue may or may not have a solution. It would be as harsh to urge you to give up and to encourage you not to worry, just trust in yourself and study. All I can tell you is that software engineering issue solving is not separate from math problem solving. Focus on the latter if you want to improve the former. It's typically something you learnt a long time ago but still don't fully grasp, so it's a good idea to obtain an outside opinion on what's causing your problem.