M.S

Hello Abishya,
If you want to pursue MS in CS then obviously you need to have degree in similar field in India or from somewhere. So appear for JEE Mains and obtain enough marks for admission to this course. After completing you can go abroad.

Hello Bharathi,
Both are good countries for PG and subsequent job opportunities. I suggest you to try for both countries and whichever comes first, join it.

Hi,
MS in USA is to be researched as per the specialization you are looking for.

Hello Mohan,
Practically speaking, both the courses are same.

Hi Renju,
Many universities in Europe have rolling admission system. That is you can apply anytime during the year and several intakes are available. The deadlines and intakes will depend on the university. You need to check university websites for the same.

Hi Anjali,
To start in Fall 2018, you must apply by the end of 2017. In USA, generally, the application portals will open from Aug or Sept of this year onwards. The deadlines are mentioned accordingly. Try to submit by the international deadlines and apply early for better admissions and scholarship prospects. To be considered for admissions you must take the GRE and a four year bachelor degree is recommended. Feel free to write back for more guidance.

You may visit the DAAD website. It will be better to take IELTS or TOEFL exam to maximise your chance to get admission. Also, it is advisable to visit the institute website where you want to take admission in MS. All the best.

Hi,
You may check it's ranking for the particular course and also if the course is available in English or not as it will be easier for you.

Hello Aditya,
Germany is a great place to pursue PG. However, every University has its own yardstick and it is better, if you check about your prospective university. They also look for your academic performance. If you have a convincing answer for low performance in UG level, it can be ignored.

Hi Shikhar,
MS from abroad offers you range of specialization and every country has its own nomenclature for it from embedded systems to big data.