Vision
To empower Computer Science and Engineering (Data Science) students with knowledge and skills in Data Science and emerging technologies, fostering innovation, research, ethical practices, and sustainable solutions for societal development.
The Department of Computer Science and Engineering (Data Science) is dedicated to imparting quality education in Data Science, Artificial Intelligence, Machine Learning, and emerging technologies through an effective teaching-learning process. The department focuses on developing students’ analytical, technical, and problem-solving skills through laboratory practice, projects, internships, workshops, hackathons, and industry interactions. It promotes research, innovation, lifelong learning, and entrepreneurship to prepare students for successful careers, higher education, and societal contribution. With a commitment to academic excellence and industry readiness, the department strives to nurture competent and ethical professionals capable of addressing real-world challenges through data-driven solutions.
To empower Computer Science and Engineering (Data Science) students with knowledge and skills in Data Science and emerging technologies, fostering innovation, research, ethical practices, and sustainable solutions for societal development.
M1: To provide quality education in Computer Science, Data Science, Artificial Intelligence, and emerging technologies through an effective learning environment that promotes academic excellence and lifelong learning.
M2: To equip students with analytical thinking, problem-solving abilities, ethical values, and professional skills to address industrial, societal, and global challenges using data-driven approaches.
M3: To foster research, innovation, entrepreneurship, and industry collaboration for developing competent Data Science professionals who contribute to technological advancement and societal well-being.
P01: Engineering Knowledge
Apply the knowledge of mathematics, natural science, computing, and engineering fundamentals and an engineering specialisation to the solution of complex engineering problems.
P02: Problem Analysis
Identify, formulate, and analyse complex engineering problems, reaching substantiated conclusions with consideration for the holistic nature of the problem.
P03: Design/Development of Solutions
Design creative solutions for complex engineering problems and design systems, components, or processes to meet identified needs with consideration for public health and safety, and cultural, societal, and environmental factors. Sustainability is intrinsic to design.
P04: Conduct Investigations of Complex Problems
Conduct investigations of complex engineering problems using research-based knowledge and research methods, including the design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
P05: Engineering Tool Usage
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, recognising their limitations, to solve complex engineering problems.
P06: The Engineer and the World
Analyse and evaluate societal and environmental aspects while solving complex engineering problems, considering their impact on sustainability with reference to economy, health, safety, legal frameworks, culture, and the environment.
P07: Ethics
Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion, and adhere to relevant national and international laws.
P08: Individual and Collaborative Team Work
Function effectively as an individual, and as a member or leader in diverse and multidisciplinary teams.
P09: Communication
Communicate effectively and inclusively within the engineering community and with society at large by comprehending and writing effective reports and design documentation, and making effective presentations, considering cultural, language, and learning differences.
P010: Project Management and Finance
Apply knowledge and understanding of engineering management principles and economic decision-making, and apply these to one’s own work, as a member and leader in a team, to manage projects in multidisciplinary environments.
P011: Life-Long Learning
Recognise the need for, and have the preparation and ability for independent and life-long learning, adaptability to new and emerging technologies, and critical thinking in the broadest context of technological change.
PSO1: Data Analytics and Problem Solving
Apply the principles of Computer Science, Mathematics, Statistics, and Data Science to collect, process, analyze, and interpret data for informed decision-making and effective problem solving.
PSO2: Intelligent System Development
Design, develop, and deploy intelligent Data Science solutions using Machine Learning, Artificial Intelligence, Big Data Analytics, Data Visualization, Cloud Computing, and modern software engineering practices to address industrial and societal challenges.
PSO3: Research, Innovation, and Emerging Technologies
Apply research methodologies, innovation, ethical practices, and emerging technologies to develop scalable, secure, and sustainable Data Science solutions, while fostering entrepreneurship and lifelong learning to meet evolving technological needs.
A national-level IDEATHON open to Engineering, Diploma and Management students,no coding required, just your idea. Themes: AI &…
A national-level IDEATHON open to Engineering, Diploma and Management students,no coding required, just your idea. Themes: AI &…
BTI participated in the Bharat Sustainability Campus Mission 2026,Earth Week organised by the Research Heights Foundation in association…
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Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et…
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et…