cmr.edu.in BCA | Data Science | Programmes at CMR University

BCA | Data Science

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BCA | Data Science

The Bachelor of Computer Applications (BCA) in Data Science at CMR University School of Science and Computer Studies (SSCS) is a three-year undergraduate program designed to equip students with cutting-edge skills in data analytics, machine learning, and big data technologies. This programme provides a strong foundation in computer science while integrating specialized knowledge in data-driven decision-making, preparing students for high-demand careers in data science and AI-driven industries.

With businesses and organisations increasingly relying on data for strategic growth, this program is tailored to bridge the gap between theoretical concepts and real-world applications. Students will gain hands-on expertise in statistical modeling, predictive analytics, deep learning, and cloud computing, alongside mastering programming languages like Python, R, and SQL. The curriculum incorporates industry-relevant projects, internships, and case studies, ensuring students develop practical problem-solving abilities.

Graduates of this program can pursue careers as Data Analysts, Machine Learning Engineers, Business Intelligence Developers, and Data Engineers across various industries, including finance, healthcare, e-commerce, and IT services. Beyond technical expertise, SSCS fosters entrepreneurial thinking, ethical AI practices, and interdisciplinary collaboration, ensuring students are well-prepared for leadership roles in the evolving tech landscape.

The programme also serves as a launchpad for further studies in Data Science, Artificial Intelligence, or advanced computing domains. By combining theoretical depth with hands-on industry exposure, the BCA in Data Science at CMR University empowers students to harness the power of data, drive innovation, and excel in the digital economy.

Duration

3 years

Programme Fees

Rs.67,500/- OMBR per semester
Rs.62,500/- Lakeside per semester

Programme Type

Full-time

Programme Regulations

2024-25
2023-24
2022-21

Eligibility Criteria

Candidates should have passed PUC/12th Grade or equivalent examination in any stream from a recognised board. Candidates should have also studied Mathematics as a compulsory subject up to 10th Grade.

Programme Structure

PDF is being worked upon upon by the Academic Council, updated list will be shared once approved

Scope and Objective

A BCA in Data Science offers students the opportunity to specialize in one of the most in-demand fields of technology. Graduates are trained in data analysis, machine learning, big data technologies, and statistical modelling. They can find career opportunities as data analysts, data engineers, or machine learning specialists across sectors like finance, healthcare, e-commerce, and IT services.

The programme provides a solid foundation in programming and database management while focusing on extracting insights from large datasets. As data-driven decision-making becomes crucial for businesses, the demand for data science professionals continues to grow. Graduates can also pursue advanced degrees or certifications in data science or AI.

  • To offer in-depth knowledge of data science techniques such as machine learning, statistical analysis, and data visualisation.
  • To equip students with practical skills in programming languages like Python and R, as well as data processing tools such as Hadoop and Spark.
  • To develop the ability to extract meaningful insights from complex data sets to drive business decision-making.
  • To prepare students for careers in data science, data analytics, and machine learning across various industries.
  • To provide hands-on experience with real-world data science projects, preparing graduates for high-demand roles in IT, finance, healthcare, and more.
  • To create a foundation for advanced studies or certifications in specialised areas of data science, such as AI, big data, or deep learning.

Programme Structure

Semester I
  • Problem Solving Techniques Using C and Lab
  • Database Management Systems and Lab
  • Mathematical Foundation for Computer Science
  • Language
  • Common Core Courses
  • Community Service Programme – I
Semester II
  • Data Structures using C and Lab
  • Operating System & Linux Foundation and Lab
  • Statistics
  • Interdisciplinary Elective I
  • Language
  • Common Core Courses
  • Community Service Programme – II
Semester III
  • Python Programming and Lab
  • Object-Oriented Programming Using Java and Lab
  • Numerical Technique and Linear Programming
  • Interdisciplinary Elective II
  • Excel for Data Analysis
  • Common Core Courses
  • Community Service Programme – III
Semester IV
  • Artificial Intelligence and Lab
  • Software Engineering and Lab
  • Fundamentals of Cyber Security and Ethical Hacking
  • MOOC Course
  • Interdisciplinary Elective II
  • Common Core Courses
  • Career Preparedness Program-III
Semester V
  • Fundamentals of Cyber Security and Ethical Hacking
  • Data Warehousing and Mining
  • Machine Learning using Python and Lab
  • Internship 
  • Elective 1: 
    • Web Analytics and Lab
    • Internet of Things and Lab
  • Environment and Sustainability
  • Common Core Courses
Semester VI
  • Data Modeling & Visualization and Lab
  • Common Core Courses
  • Elective 2:
    • Big Data Analytics and Lab
    • Text Mining and Analytics and Lab
  • Capstone Project 

Programme Assessment

  • Choice-Based Credit System (CBCS): The university follows CBCS, which allows students to choose courses and earn credits based on their performance
  • Grades and GPA: Students are awarded grades for each course in a semester, and their Semester Grade Point Average (SGPA) is calculated to measure their academic performance. Cumulative Grade Point Average (CGPA) is used to evaluate the overall performance of a student across all semesters.
  • Prescribed Curriculum: Each program has a prescribed curriculum or Scheme of Teaching and Evaluation, which includes the required courses, laboratories, and other degree requirements. It also incorporates SWAYAM and Massive Open Online Courses (MOOCs) offered by reputed institutions.
  • Auditing Courses: Students have the option to audit courses, which allows them to gain additional exposure without the pressure of obtaining a grade. This can give them an advantage in placements.
  • Evaluation System: The evaluation of students is comprehensive and continuous throughout the semester. It consists of Continuous Internal Evaluation (CIE) and Semester End Examination (SEE). CIE and SEE carry equal weightage of 50% each, resulting in a total evaluation of 100 marks for each course, regardless of its credit value.
  • Assessment Methods: Before each semester, faculty members may choose assessment methods such as assignments, seminars, quizzes, group discussions, case studies, practical activities, class presentations, industry reports, etc., with suitable weightage for each.
  • Semester End Examination: A Semester End Examination is conducted for all registered courses at the end of each semester. However, some courses that already have Continuous Internal Evaluation may not require a SEE. 
  • Makeup Examinations: Students who fail the Semester End Examination in one or more courses are eligible for makeup examinations, which provide an opportunity to retake the failed exams and improve their grades.

Programme Outcome

Knowledge: Apply mathematics and computer science concepts to analyze and solve real-world problems.

Problem Analysis: Identify and examine complex problems to propose effective solutions.

Design and Development: Design system components and processes, considering societal, environmental, and safety factors.

Modern Tool Usage: Use current technologies and tools effectively for software and data-driven tasks.

Environment and Sustainability: Understand the social and environmental impact of computing solutions and promote sustainable practices.

Course Outcomes Visit

What expertise will you gain?
  • Data science concepts and methodologies
  • Programming in Python, R, SQL
  • Statistical analysis and machine learning algorithms
  • Data manipulation, visualization, and big data tools
  • Insight generation for data-driven decisions

Career Opportunities

  • 01
    Data analyst
  • 02
    Data scientist
  • 03
    Business intelligence analyst
  • 04
    Machine learning engineer
  • 05
    Data engineer
  • 06
    Data consultant

How to apply?

Admission Process

  1. Eligibility Criteria

Candidates must have completed 10+2 / PUC or equivalent from a recognized board.
Students from any stream (Science, Commerce, or Arts, Science as a subject are preferred.

  1. Application Process

Visit the official website of CMR University and navigate to the Admissions section.
Website Link: www.cmr.edu.in
Fill out the online application form with personal, academic, and contact details.
Upload the necessary documents, including mark sheets, identity proof, and passport-size photographs.
Pay the application fee online.

  1. Selection Process

Applications are reviewed based on academic performance and eligibility criteria.
Some programs may require students to appear for an entrance test and/or a personal interview conducted by the university.
Shortlisted candidates receive an admission offer letter via email.

  1. Confirmation of Admission

Once selected, candidates must confirm their admission by paying the first installment of the tuition fee within the stipulated time.
Students must submit the required original documents for verification at the university campus.

 

  1. Orientation & Enrollment

Upon successful admission, students will be invited for the orientation program, where they will receive details about course structure, academic guidelines, campus facilities, and student support services.

Apply Now

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FAQs

BCA Data Science is an undergraduate degree. This degree is a three or four- year (Hons) programme and is divided into six or eight semesters respectively. This programme is a combination of Computer Application and Data Science, and both these high-value subjects help the students choose a promising career path, making this programme a high-demand course. Students can check the BCA Data Science Eligibility page for further admissions in this diverse course.

BCA in Data Science subjects that the students study in this program are diverse and complement one another. The various subjects that the students will learn in this program are –

  • Digital Electronics Lab Core,
  • Digital Electronics and Computer Organisation,
  • Data Structures,
  • Database Management System(MOOC),
  • Data Structure Labs,
  • Introduction to Data Science
  • Data Science Using R,
  • Machine Learning Core,
  • Internet of Things Core, and many more.

BCA Data Science is a very diverse program and opens up a lot of opportunities for students to pursue higher studies or to pursue an exciting career. Here are a few examples of the higher studies that the student can study after BCA Data Science

MBA,

M.Tech Data Science,

M.Tech Machine Learning and Artificial Intelligence,

Masters of Computer Application, and many more.

Students can also consider pursuing careers such as –

  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Data Consultant, and many more.

CMRU is one of the best Data Science Colleges in Bangalore and provides top-quality education to all its students. Our BCA Data Science programme offers an opportunity for students to establish their careers in various capacities:

  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • Financial Analyst
  • Computer Administrator, and many more

CMRU also focuses on training its students in soft skills, which will further help them succeed in this industry.

BCA in Data Science Colleges in Bengaluru like CMRU, have the best faculty members. This aspect of CMRU plays a vital role in the success of students. The combination of various subjects and the efficient structure of the syllabus ensures that you have a firm grip on all the concepts, making your career in Data Science flourish. These are a few factors that you should look out for while choosing the right university.

ACCP AY(2025-26)