MCA

You should go for MCA. Most of the institutes require 45 to 50 % aggregate in qualifying exam for taking admission. Reserved categories get some relaxation in aggregate percentage. Apart from this there is another prerequisite for taking admission in MCA degree; one must have studied Mathematics in 10+2 as a compulsory subject. Direct admissions are done on the basis of merit in qualifying exam. After taking entrance test qualified students are called for counselling. Counselling is conducted for seat allotment in various colleges under that university. Admission is done after allotment of seat in counselling.
Best colleges for MCA are: K. J. Somaiya Institute-Mumbai, Lovely Professional University Punjab, VIT University Tamilnadu, Jamia Millia Islamia University Delhi, NMIMS Mumbai, Anna University Tamil Nadu, University of Mumbai, University of Kolkata, NIT Warangal, Institute of Technology Kothrud -Pune, Pune University, University of Hyderabad, JNU Delhi, Delhi University, BIT.

How to Get Admission in Master of Computer Applications [M. C. A]:
Admission to MCA can be obtained either on the basis of entrance exams or directly on qualifying exam merit basis. Following are the general ways of admission in MCA programme
Direct Admission- Direct admissions are done on the basis of merit in qualifying exam. Some institutes also provide admission on management quota, which is also way of direct admission. Management quota seats in every college are reserved. Fee is generally higher for these seats than general seats. Entrance Test- After taking entrance test conducted by various universities, qualified students are called for counselling. Counselling is conducted for seat allotment in various colleges under that university. Admission is done after allotment of seat in counselling. Regards.

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.