BCA in Data Science
(Industry Integrated)

The BCA in Data Science is an industry-integrated three-year degree program offered by the university's Department of Computer Application in collaboration with ImaginXP. This specialized program provides students with a comprehensive understanding of Computer Applications, Information Technology Theory, and Programming Training, with a focus on bridging the gap between academia and industry.

The advanced curriculum of the BCA in Data Science exposes students to diverse domains such as statistics with R, Python, data visualization, Artificial intelligence, machine learning, and Programming Analytics. This equips them with the necessary knowledge and skills to become professionals in the dynamic field of IT. The program has been designed to meet the ever-evolving demands of the information technology industry, incorporating valuable insights from industry experts.

In addition to the core curriculum, students are offered ample opportunities to explore in-demand technologies, including Big Data, Cyber Security, Machine Learning, .Net Framework, Data Warehousing, Artificial Intelligence, Data Mining, Mobile Application Development, Cloud, IoT, and more. This industry integration with ImaginXP ensures that students gain practical exposure and insights, enabling them to apply their knowledge to solve real-life problems effectively.

Salient Features

  • 20+ years of excellence
  • Focus on student-centered learning
  • Problem-based learning and industry-relevant curriculum
  • Best placement opportunities to get placed in high-end and reputed companies
  • Industrial training in reputable firms and organizations
  • The privilege of 100% placement guidance and support
  • Department-organized tech fests and hackathons
  • Industry visits, seminars, workshops, and guest lectures by eminent researchers and industry practitioners
  • Active student clubs and bodies
  • The multi-cultural and vibrant teaching environment

Registration Open-2025

Merit-based admission process with online application at Dev Bhoomi Uttarakhand University.

Eligibility & Duration

  • Duration : 3/4 Years (Without / With Research)
  • The candidate must have passed 10+2 examination or equivalent with minimum 50% marks in total and also having Mathematics as subject in the qualifying examination (With Additional bridge course for Non)
  • *Term and Condition: To pursue BCA with Research in Data Science, 75% marks and No Backlog is mandatory.

Fee Structure

Course Total Fee
Academic fee ( Per Sem) ₹ 50,000/-
Industry Integrated Specialization Fee (Per Semester) ₹ 5,000/-

One Time Fee

Application Fee (Non-Refundable) Admission Fee (Non-Refundable) University Enrollment Fee (Non-Refundable)
₹ 1,500 ₹ 7,000 ₹ 3,000
Exam fees ( Per Semester) ₹ 4,500/-
Download Fee Structure Click here

Program Educational Objectives (PEO's)

PEO-1 Identify, formulate, research literature, and analyze complex computer application-oriented problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and computer applications.
PEO-2 Design solutions for complex computer application problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety and cultural, societal, and environmental considerations.
PEO-3 Use research-based knowledge and research methods, including design of experiments, analysis, and interpretation of data, and synthesis of the information to provide valid conclusions.
PEO-4 Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling to complex engineering activities to understand the limitations.
PEO-5 Recognize the need to prepare and engage in independent and life-long learning in the broadest context of technological change.

Program Specific Objectives (PSO's)

PSO-1 An ability to learn design and control strategy; techniques to secure information and adapt to the fast-changing world of information technology needs.
PSO-2 Apply Principal of Data Science and knowledge of statistical data analysis techniques utilized to support decision making in business.
PSO-3 Demonstrate use of teamwork, leadership skills, decision making, and organization theory using data analytical tools.
PSO-4 Apply the knowledge of mathematics and computing fundamentals to various real-life applications for any given requirement.

Job Opportunities
The Course Might Lead To

This specialized program opens doors to exciting career paths in:

Job Opportunities

Software Engineer

Market Research Analyst

Technical Team Leader

Business Analyst

Associate Business Analyst

Data Analyst

Data Scientist

Health Care Analyst

Statistician

Big Data Analysts

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