cmr.edu.in

BCA Data Science

Programme Overview

  • Bachelor of Computer Applications with Data Science is a specialized undergraduate Computer Application programme. This is an interdisciplinary field focused on extracting knowledge and enabling discovery from complex data. It represents a fusion of principles from Statistics and Computer Science that are applied in domain-specific contexts.
  • In fact, data science skills are now one of the most sought-after skill sets for graduates in a wide variety of quantitative, computational, and scientific disciplines. The programme involves an in-depth study of mathematical methods of Artificial Intelligence models and modern methods of data analysis, mathematical and informational modeling of complex systems as well as a computer realization of these methods.
  • It mainly focuses on subjects like Big Data Analytics, Python Programming, Machine Learning, Data Modelling and Visualization, Statistics and Probability, and Introduction to Data Mining.

Career Opportunities

  • Software Engineer
  • Data Scientist
  • Health Care Analyst
  • Statistician
  • Business Analyst
  • Associate Business Analyst
  • Data Analyst
  • Market Research Analyst
  • Technical Team Leader
  • Big Data Analyst

Programme USPs

  • Positive academic ambience.
  • Adherence to core values.
  • Strong emphasis on campus culture.
  • Choice Based Credit System- Greater academic, flexibility, Learner centric, Teaching Evaluation process and Industry focused.
  • Experiential Learning based pedagogy.
 

Programme Outcomes

  • Analysis and development of solutions through data visualization techniques using tools like R, Tableau, and Python.
  • Preparing students for offering cutting-edge solutions for companies’ issues with data driven management decisions using noSql databases.
 

Program Duration

3 Years / 6 Semesters

Program Type

Full-time

Eligibility Criteria

Candidates should have passed PUC/12th standard or equivalent from any stream, with Mathematics as a compulsory subject upto 10th Grade .

 

Program Structure

I SEMESTER

II SEMESTER

III SEMESTER

IV SEMESTER

V SEMESTER

VI SEMESTER

 Read More

CMR University’s BCA in Data Science designed with the help of world class faculties, to help our students learn and explore the different nuances of computer programmes and applications in the subject of Data Science. As one of the top university among the best BCA Data Science colleges in Bangalore, CMRU aims to facilitate the students to solve problems by analysis and development of solutions through data visualisation techniques using modern tools. The university prepares the students for offering innovative solutions for companies’ issues with data driven management decisions using noSql databases.

When the top BCA Data Science colleges in Bangalore focus on offering a comprehensive elective, CMRU pioneers by facilitating the students with subjects like Internet of things, data mining, programming, testing, and data analytics. The university offers Makerspace that helps the students to share and innovate. Our students not only learn but also can practically apply their knowledge and create modern solutions for the companies’ problems. As one of the best BCA Data Science colleges in Bangalore, CMRU provides internship opportunities at the end of their last semester to help them secure a job in the competitive world.

 

FAQ's

 Is there any placement opportunity for BCA Data Science at CMR University?

Yes, CMRU provides placement opportunities for BCA Data Science students. The university ensures that the students are job-ready during their placement interviews by providing basic interview skills training from their first semester. The students will get a professional exposure while pursuing their internship provided during their UG program.

 What is the BCA Data Science course duration?

BCA Data Science is for 3 years. The Data Science course explores the different dimensions of python programming, data analytics, data modelling and visualisation, machine learning, and an introduction to data mining.