The B.Tech in Computer Science and Engineering (Data Science) program at Dr. B.C. Roy Engineering College, Durgapur, West Bengal, is designed to provide students with a strong foundation in core computer science along with specialized expertise in data analytics, machine learning, artificial intelligence, and big data technologies. This four-year undergraduate program integrates subjects such as programming, data structures, algorithms, database management systems, and cloud computing with advanced concepts in statistical modeling, predictive analytics, and data visualization. The B.Tech in Computer Science and Engineering (Data Science) program in Durgapur focuses on developing analytical thinking and technical proficiency to address real-world data challenges across industries.
With modern laboratories, project-based learning, internships, and industry interaction, the B.Tech in Computer Science and Engineering (Data Science) program at Dr. B.C. Roy Engineering College, Durgapur emphasizes practical exposure and innovation. Students gain hands-on experience with contemporary tools and technologies used in the IT and analytics sectors, enabling them to design scalable data-driven solutions. Graduates are well-prepared for careers as Data Scientists, Machine Learning Engineers, Data Analysts, and Software Developers, as well as for higher studies and research opportunities in emerging domains of data science and artificial intelligence.
Vision:To transform the department into a centre of excellence for Computer Science and Engineering, through conscious, meaningful, devoted and determined effort of all the stake holders, by synergistic application of creativity, innovation, discipline and social consciousness.
Misssion:To prepare the students for direct employment in various computer science and computer engineering related careers, pursuit of higher studies and / or research, or entrepreneurship in the field, by imparting them quality and value based education as per the needs of the society.
| Program Outcomes | Statement |
|---|---|
| PO1 | Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems. |
| PO2 | Problem Analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
| PO3 | Design / Development of Solutions: Design solutions for complex engineering 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. |
| PO4 | Conduct Investigations of Complex Problems: 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. |
| PO5 | Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations. |
| PO6 | The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to professional engineering practice. |
| PO7 | Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of, and need for, sustainable development. |
| PO8 | Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of engineering practice. |
| PO9 | Individual and Teamwork: Function effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings. |
| PO10 | Communication: Communicate effectively on complex engineering activities with the engineering community and society at large through effective reports, documentation, presentations, and clear instructions. |
| PO11 | Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply them as a member or leader in a team to manage projects in multidisciplinary environments. |
| PO12 | Life-Long Learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change. |
| Program Outcomes | Statement | Knowledge and Attitude Profile |
|---|---|---|
| PO1 | Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop solutions for complex engineering problems. | WK1, WK2, WK3. WK4 |
| PO2 | Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. | WK1, WK2, WK3, WK4 |
| PO3 | Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems, components, or processes to meet identified needs with consideration for public health and safety, whole-life cost, net zero carbon, culture, society, and the environment. | WK5 |
| PO4 | Conduct Investigations of Complex Problems: Conduct investigations using research-based knowledge including design of experiments, modelling, analysis, and interpretation of data to provide valid conclusions. | WK8 |
| PO5 | Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering and IT tools, including prediction and modelling, recognizing their limitations to solve complex engineering problems. | WK2, WK6 |
| PO6 | The Engineer and the World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for their impact on sustainability with reference to economy, health, safety, legal framework, culture, and environment. | WK1, WK5, WK7 |
| PO7 | Ethics: Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion while adhering to national and international laws. | WK9 |
| PO8 | Individual and Collaborative Teamwork: Function effectively as an individual and as a member or leader in diverse or multidisciplinary teams. | |
| PO9 | Communication: Communicate effectively and inclusively within the engineering community and society at large through reports, documentation, and presentations considering cultural, language, and learning differences. | |
| PO10 | Project Management and Finance: Apply knowledge of engineering management principles and economic decision-making to manage projects and work effectively in multidisciplinary environments. | |
| PO11 | Life-Long Learning: Recognize the need for independent and lifelong learning, adaptability to emerging technologies, and critical thinking in the context of technological change. | WK8 |
A B.Tech in Computer Science and Engineering (Data Science) opens diverse and future-ready career opportunities in today’s rapidly digitalizing world. As data becomes central to economic growth, innovation, and business transformation, graduates are equipped to interpret complex datasets, identify patterns, and develop trend-setting solutions that meet evolving industry demands. With a strong interdisciplinary foundation in Computer Science, Computational Mathematics, Statistics, and Management, students develop expertise in data analytics, visualization, predictive modeling, machine learning, deep learning, and knowledge representation. These skills enable graduates to support data-driven decision-making processes across industries ranging from IT and finance to healthcare, manufacturing, e-commerce, and government sectors.
Beyond core IT sector roles, graduates of B.Tech in CSE (Data Science) can pursue in-demand career paths such as Data Analyst, Data Engineer, Database Administrator, Machine Learning Engineer, Data Scientist, Data Architect, Statistician, Business Analyst, and Data & Analytics Manager. The program prepares students not only for technical positions but also for strategic roles that bridge technology and business intelligence. With the increasing adoption of digital technologies and data-centric business models, professionals trained in Data Science are highly sought after in both private and public sector organizations, as well as in research, entrepreneurship, and higher studies in emerging technology domains.
| Stream | Course Structure | Course Outcome | Syllabus |
|---|---|---|---|
| Computer Science and Engineering (Data Science) | View | View | View |
Syllabus details go here.