Hindustan Institute of Technology and Science

B.Sc in Aviation (B.Sc AV) is an undergraduate course in science and operations in flying airplanes, helicopters, gliders, etc. An integral factor for being eligible to this course is that the candidate must have completed 10+2 and passed HSC examination with subjects like Physics, Chemistry and Mathematics with a minimum of 50% marks from a recognised school in India. Like all undergraduate programmes, B.Sc AV is a three-year course. This course is often confused with B.Sc (Hons) in Aviation Management. Admission to the programme is based on merit marks scored in 10+2 and/or personal interview by colleges. The average annual tuition fee for the course ranges between INR 1.5 Lakhs to INR 2.5 Lacs. B.Sc AV is a course through which students find job opportunities in the aviation industry and aerospace firms. Within these, professionals can find job profiles like that of service maintenance engineer, pilot, production & maintenance manager, software testing engineer, and aircraft maintenance engineer. A fresh graduate of this course can expect an average salary of 3.5 LPA to 5.5 LPA depending on the job profile and a particular company. But this salary would only go upwards with experience and more important positions within the company/organisation.

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.