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Hi,
Congratulation for your good score. The eligibility criteria for getting admission into NIT Rourkela or into any of the NITs is For General candidates to qualify for admissions to NITs/IIITs/GFTIs, they should have secured at least 75% marks in class 12th exam or be in the top 20 percentile in class 12th exam conducted by the respective boards. For SC/ST candidates, the eligibility criteria is 65% marks in class 12th. Other than that according to the past records, the JEE rank for Electronics engineering 7000-8000. So there is a good opportunity for you to get admission in the your preferred branch. You can get admission in NIT Rourkela easily and grab the opportunity and shape up your future. Electronics communication engineering holds good placement record. Some of the companies visiting the campus are
Infosys.
2. Wipro.
3. Syntel.
4. Google.
5. Yahoo.
6. Microsoft.
7. HSBC.
8. Dell.
9. Deloitte.
10. Value Labs.
11. Broadridge.
12. Verizon.
13. Oracle.
14. Bharti Airtel.
15. Reliance Communications.
16. Vodafone Essar.
17. Idea Cellular.
18. Aircel India.
19. Airtel.

MCA with specialization in big data analytics course is sort of equivalent to M.Sc data science
Look at both words "Data Science" and "Big Data", what is common? "Data". Both Data Science and Big Data are related to Data-Driven Decision but are significant.
Data-Driven Decision (with the expectations of the better decision and increase value) processes and involves different stages
Capture Data
Process & Store Data
Analyse and Generate Insights
Decision & Actions
Big Data is typically involved in Step 2 and that too in all the scenarios. Based on volume, variety and velocity, one may require Big data & related technologies. Big Data & Technology helps in reducing cost in the processing volume of data and also making it feasible to do a few typically analyses.
Data Science is involved in Step 3.
It involves in using Statistical, Mathematical and Machine Learning algorithms to use data and generate insights. Whether a data is "Big data" or not, we can use Data Science to support Data Driven Decisions and take better decisions.