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Quick Facts

Total Fees
3.50 L

Fees Details

General

3.50 L

Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

Course Details

MODE

Full time

DURATION

24 Months

MCA 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.

MCA 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

Passed BCA/ Bachelor Degree in Computer Science Engineering or equivalent Degree OR Passed B.Sc./ B.Com./ B.A. with Mathematics at l0+2 Level or at Graduation Level (with additional bridge Courses as per the norms of the concerned University).

Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category (SC/ ST)/ Rajasthan state OBC Non-creamy layer/ women category) in the qualifying Examination.

Applications for Admissions are open.

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