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.
At DBUU’s BCA in Data Science program, we launch your data career with an industry-aligned curriculum, expert faculty, advanced analytics labs, hands-on projects, strong placement support, and more.
Merit-based admission process with online application at Dev Bhoomi Uttarakhand University.
Course | Total Fee |
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Academic fee ( Per Sem) | ₹ 50,000/- |
Industry Integrated Specialization Fee (Per Semester) | ₹ 5,000/- |
Application Fee (Non-Refundable) | Admission Fee (Non-Refundable) | University Enrollment Fee (Non-Refundable) |
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₹ 1,500 | ₹ 7,000 | ₹ 3,000 |
Exam fees ( Per Semester) | ₹ 4,500/- |
Download Fee Structure | Click here |
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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. |
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. |
This specialized program opens doors to exciting career paths in:
BCA (Bachelor of Computer Applications) in Data Science is an undergraduate degree program that combines computer applications, programming, mathematics, and specialized data science subjects like machine learning, statistics, data visualization, and big data technologies.
The course typically spans 3 years, divided into 6 semesters.
The student should have completed the 10+2 examination or its equivalent with at least 50% aggregate marks and must have studied Mathematics as a subject in the qualifying exam. (Students without Mathematics may be required to take an additional bridge course.)
Graduates can pursue roles such as:
Yes. You can pursue MCA Data Science, MBA in Business Analytics, or certifications like PG Diploma in Data Science, depending on your interests.
Absolutely. With the growing demand for data-driven decision-making, this field offers excellent growth potential, especially if you continue to skill up with real-world projects and advanced certifications.
After doing BCA in Data Science, a fresher can earn a salary between ₹3.5 to ₹6 lakh per year, depending on skills and the company. If you gain some experience (1–3 years), the salary can go up to ₹6 to ₹10 lakh per year. Learning extra skills like Python, machine learning, and data tools can help you get better jobs and higher pay. Also, doing internships or projects during your studies can improve your chances of getting a good salary.
Yes, basic coding knowledge is important. You will learn languages like Python, Java, and R during the BCA in Data Science course.
If you're interested in data and analytics, a BCA in Data Science gives you specialized skills and better job prospects in the growing data industry.