Dr. Debashis Das
HOD, Department of CSE – Data Science
Welcome to the Department of Computer Science and Engineering - Data Science.
In this era of digital transformation, Data Science stands at the forefront of innovation, shaping the way we understand and interact with the world. Our department is committed to cultivating a strong foundation in computer science while equipping students with advanced data analytics, machine learning, and AI skills.
We aim to nurture inquisitive minds, foster research and innovation, and empower our students to become problem solvers and ethical data professionals. Through a blend of rigorous academics, hands-on experience, and industry collaboration, we prepare our graduates to excel in both academia and industry, and to make meaningful contributions to society.
We invite you to explore the exciting opportunities within our department and join us in shaping the future through data.
Vision
To become a center of excellence in Data Science education and research by nurturing innovative minds, advancing knowledge through cutting-edge technologies, and empowering students to solve real-world problems for the betterment of society
Mission
- M1: Deliver high-quality education in Data Science and Computer Science by continuously updating the curriculum to reflect emerging technologies, tools, and industry practices
- M2: Foster a culture of research and innovation by encouraging interdisciplinary collaboration, critical thinking, and hands-on problem-solving through real-world projects and publications
- M3: Empower students with practical skills in data analytics, machine learning, artificial intelligence, and big data through experiential learning, internships, and industry partnerships
- M4: Promote ethical, inclusive, and socially responsible use of data science by integrating values-driven education that addresses societal challenges and ensures positive global impact
Program Educational Objectives (PEOS):
- PEO1: Graduates will be able to take up technical/managerial roles involving problem analyzing, solving, designing, development to production support in software industries as well as in R&D sectors.
- PEO2: Graduates will pursue higher education/research.
- PEO3: Graduates will adapt, contribute and innovate advance technologies and systems in the key domains of Data Science.
- PEO4: Graduates will be ethically and socially responsible.
Program Specific Outcomes (PSOs):
- PSO1: Ability to develop advanced knowledge and skill-sets to innovate technological tools and techniques with optimal use of resources and infrastructure in a competitive environment.
- PSO2: Exhibit proficiency in computational knowledge and project development using data science techniques and tools for effective use in analysis, design and development in a multidisciplinary set-up.
- PSO3: Develop high quality research and development aptitude for generation of knowledge and innovative business solutions which are socially and ethically acceptable and recognized by the industry and academia.
Program Outcome (POs) (B.TECH.)
- 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 to the solution of complex engineering problems.
- PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
- PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
- PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
- PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
- PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
- PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
- PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
- PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
- PO10: 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, and to manage projects and in multidisciplinary environments.
- PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
Program
| Program | Course Name | Duration | Degree | Intake Strength |
| Under Graduate (UG) | B. Tech in CSE- Data Science | 4 Years | B. Tech | 60 |
Infrastructure
| Laboratory No | Name of the Laboratory | No. of students per setup | Important equipment | Utilization |
| (Batch Size) | ||||
| LAB 1 | Programming Practice Lab 1 | 30 | PC: HP 280 G9 with i7 Processor Others: 2X24 port Netgear switch | Utilized |
| LAB 2 | Programming Practice Lab 2 | 30 | PC: HP 280 G9 with i7 Processor Others: 2X24 port Netgear switch | Utilized |
| LAB 3 | Software Engineering & DBMS Lab | 30 | PC: Dell 3910 with i7 Processor Others: 2X24 port Netgear switch | Utilized |
| LAB 4 | Networking & OS Lab | 30 | PC: wipro core2duo Processor, Dell Optiplex 3020 tower Others:2X24 port Netgear switch | Utilized |
| LAB 5 | Programming Practice Lab 3 | 30 | PC: Dell 3020 with i3 ProcessorOthers: 2X24 port Netgear switch | Utilized |
| LAB 6 | Project Lab | 30 | PC: Acer with i3 Processor, Dell 3268 with i3 processor, Dell 3270 with i5 Orocessor Others: 24 port Netgear switch | Utilized |
| LAB 7 | AIML LAB | 30 | PC: HP 280 G9 with i7 Processor Others: 24 port Gigabit Dlink switch | Utilized |
| LAB 8 | Computer Centre | 90 | PC: wipro core2duo Processor, Dell Optiplex 3020 tower, Dell 3020 with i3 Processor Others: 5X24 port Dlink Gigabit switch | Utilized |
| LAB 9 | Machine Learning and Programming Practice Lab | 30 | PC: HP 280 G9 with i5 Processor Others: 2X24 port Gigabit Dlink switch | Utilized |
| LAB 10 | Artificial Intelligence and programming Practice lab | 30 | PC: HP 280 G9 with i5 Processor Others: 2X24 port Gigabit Dlink switch | Utilized |