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Bachelor of Computer Applications (BCA) – Data Science

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 at DBUU, one of the best data science colleges in dehradun, 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

  • 19+ years of academic 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

Admissions Open 2024!!

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

Eligibility & Fee Details

Duration & Eligibility

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 Mathematics background students).

*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) ₹ 40000/-
Industry Integrated Specialization Fee (Per Semester) ₹ 10,000/-

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

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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

Program Grid Structure


Semester 1

Course Code Course Credit
23IBCADS101 Algebra, Calculus and Trigonometry 4
23IBCADS102 Computer Fundamentals and Organization 3
231BCADS103 Programming in C 3
23IBCADS104 Operating System 4
23IBCADS181 Programming in C Lab 2
23IBCADS182 Linux and Shell Programming Lab 2
23LS191 English Communication-l 2

Semester 2

Course Code Course Credit
231BCADS201 Probability and Statistics 4
231BCADS202 Introduction to Data Science 4
23IBCADS203 Object Orient Programming using C++ 3
231BCADS204 Data Structures using C 3
231BCADS281 Programming in C++ Lab 2
231BCADS282 Data Structures and Algorithms Lab 2
23LS192 Environmental Studies 3

Semester 3

Course Code Course Credit
231BCADS301 Database Management System 4
231BCADS302 Linear Algebra 4
231BCADS303 Scientific Programming using R 2
231BCADS381 Scientific Programming using R Lab 1
231BCADS382 Data Analysis using Python Lab 2
231BCADS383 Database Management Lab 2
23LS391 Universal Human Values 2
231BCADS304 Computer Networks 3
23SOCIALIN391 Social Internship 1

Semester 4

Course Code Course Credit
231BCADS401 Big Data Analytics 4
231BCADS402 Cloud Computing 4
231BCADS403 Inferential Statistics 2
231BCADS481 Inferential Statistics Lab 1
23IBCADS404 Exploratory Data Analysis 2
23IBCADS482 Big Data Analytics Lab 2
231BCADS405 NoSQL Databases 3
23LS291 Indian Knowledge System 0

Semester 5

Course Code Course Credit
23IBCADS501 Data Analytics using MS Excel and SQL 4
231BCADS502 Data Science Project Management 4
231BCADS503 Time Series Analysis 2
231BCADS581 Time Series Analysis Lab 1
231BCADS582 Machine Learning Algorithms Lab 2
231BCADS504 Machine Learning Algorithms 3
23PSIN591 Internship-l 1

Semester 6

Course Code Course Credit
231BCADS601 Data Handling and Visualization 3
23IBCADS681 Data Handling and Visualization Lab (Tableau Software) 2
231BCADS682 Digital Electronics Lab 1
231BCADS603 Computer Vision 3
23IBCADS683 Cyber Security Lab 2
23IBCADS604 Introduction to Artificial Intelligence 3
23PSPR691 Minor Project 1

Semester 7

Course Code Course Credit
23IBCADS71X Software Project Management 3
231BCADS72X Software Testing 3
23IBCADS73X Time Series Analysis and Forecasting 3
23IBCADS74X R for Data Science 3
23PSPR791 Minor Project 4
23PHCC101 Research Methodology 4
230E66X Open Elective III 2

Semester 8

Course Code Course Credit
23PSPR891 Internet of Things 3
23IBCADS82X Machine Learning Opes 3
23IBCADS82X 23LS803 3
23PSIN891 Internship - II 3

Job Opportunities The Course Might Lead To

With the instantaneous rise in the demand for technology in every sector, opportunities for a BCA Data Science graduate are endless. One can opt for a job, go for higher studies, or even set up their own software development firm after completing a BCA Data Science degree. Furthermore, the varied job options on which the students can work are:

  • 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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Admission 2023-24

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