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Course Details

MODE

Full time

DURATION

36 Months

BCA Specialization in Data Science and Data Analytics (In association with Samatrix)

Data science is repeatedly referred to as one of the most important and critical industries of the future. Without data engineers, most of data analysis would be difficult or even impossible. There is simply too much data being created for the old methods to remain relevant.

Data engineering is a fundamental part of the new world of big data, not only increasing the amount of data collected, but also ensuring that is clean, consistent, and high quality. It’s not always a visible part of the data science process  and undoubtedly can be frustrating  but without it, businesses would never be able to keep up with the influx of data or obtain reliable results from their analysis.

BCA program focuses on hands on skills in Python programming and its libraries, statistical analysis of data, concepts of linear algebra and mainly focuses on building expertise in data analysis concepts. As per the industry stats, here are some of the popular DS and DA related job profiles like Software Engineer, Data Analyst, Senior Software Engineer, Data Scientist, Software Developer, Business Analyst and IT Data Analyst. Companies which are hiring for DS and DA are Amazon, LinkedIn, IBM, Walmart Labs, Sigmoid and Flipkart.


Eligibility Criteria

Pass in Senior Secondary Examination (10+2) with minimum 50% marks in aggregate in all subjects with pass in English from a recognised Board of School Education or equivalent.

 Note: Relaxation of 5% marks in minimum eligibility criteria shall be given to the candidate who belongs to SC/ ST/ Rajasthan state OBC Non-creamy layer / women category.

Student Reviews for BCA with Specialization in Data Science and Data Analytics in Association with Samatrix

College Infrastructure: 4/5
Academics: 4/5
Placements: 5/5
Value for Money: 4/5
Campus Life: 4/5

Overall it is a greate college if you want placement

Verified Review

College Infrastructure

All the necessary infrastructure and facilities are available. In classroom smart boards are there and labs are equipped with necessary equipment. Classrooms are clean. Food is hygienic. Some of the old classrooms have no smart boards.

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