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ABOUT THE DEPARTMENTThe Department of Computer Science and Engineering (Data Science) was established in 2020 with an annual intake of 60 students at the undergraduate level. The department focuses on developing skilled professionals capable of extracting meaningful insights from large volumes of data to support data-driven decision making. B.Tech. CSE(Data Science) program combines core computing principles, data structures, algorithms, programming, and software development concepts with advanced data analytics techniques, enabling students to gain expertise in Data Analytics, Machine Learning, Big Data Technologies, Statistical Modelling, Data Visualization, and Cloud Computing. The curriculum emphasizes hands-on learning through practical labs, real-time datasets, industry projects, internships, and research activities. Students are trained in modern tools and technologies used in the data industry to analyze complex datasets and build intelligent predictive models. The department promotes interdisciplinary learning, innovation, and research, encouraging students to participate in technical events, workshops, coding competitions, and data challenges. Through a strong academic foundation and industry-relevant training, the department aims to produce competent data scientists and analytics professionals who can contribute effectively to organizations in areas such as business intelligence, healthcare analytics, financial analytics, and smart systems. VISION OF THE DEPARTMENTTo evolve into an advanced learning centre of Computer Science and Engineering. MISSION OF THE DEPARTMENT
PROGRAMMES OFFERED:
Programme
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| PEO | Programme Educational Objectives (PEOs) |
| 1 | Apply quantitative modelling and data science techniques to the solution of real-world problems, communicate findings, and effectively present results using data visualization techniques. |
| 2 | Engage and succeed in professional career, innovations and entrepreneurship through team work, ethical behaviour, proactive involvement, and effective communication. |
| 3 | Engage in overall development, life-long learning through professional development, practical training, and specialized certifications. |
| 4 | Demonstrate the ability to pursue advanced knowledge of computer science and data science by pursuing higher studies to succeed in academics and research careers. |
Program Specific Outcomes(PSOs):
At the end of the programme the student shall be able to
| PSO | Program Specific Outcomes(PSOs) |
| 1 | Design, develop and evaluate data science projects by thinking critically in making decisions based on data and deep analytics. |
| 2 | Apply the concepts and techniques of database design, and implementation to enhance data collection capabilities and decision-support systems. Ability to analyse the role of information and analytics in supporting business processes and functions. |
| 3 | Invent and use appropriate models of data analysis, assess the quality of input, derive insight from results, and investigate potential issues. Also, to organize big data sets into meaningful structures, incorporating data profiling and quality standards. |
Program Outcomes (POs):
The graduate of Computer Science & Engineering(Data Science)
| PO | Program Outcomes (POs) |
| 1 | Graduates will be able to apply the knowledge of mathematics, science, engineering fundamentals and principles of Computer Science & Engineering to solve complex problems in different domains. |
| 2 | Graduates can identify, formulate, study contemporary domain literature and analyze real life problems and make effective conclusions using the basic principles of science and engineering. |
| 3 | Graduates will be in a position to design solutions for Engineering problems requiring in depth knowledge of Computer Science and design system components and processes as per standards with emphasis on privacy, security, public health and safety. |
| 4 | Graduates will be able to conduct experiments, perform analysis and interpret data as per the prevailing research methods and to provide valid conclusions. |
| 5 | Graduates will be able to select and apply appropriate techniques and use modern software design and development tools. They will be able to predict and model complex engineering activities with the awareness of the practical limitations. |
| 6 | Graduates will be able to carry out their professional practice in Computer Science & Engineering by appropriately considering and weighing the issues related to society and culture and the consequent responsibilities. |
| 7 | Graduates would understand the impact of the professional engineering solutions on environmental safety and legal issues |
| 8 | Graduates will transform into responsible citizens by adhering to professional ethics. |
| 9 | Graduates will be able to function effectively in a large team of multidisciplinary streams consisting of persons of diverse cultures without forgetting the significance of each individual’s contribution. |
| 10 | Graduates will be able to communicate effectively about complex engineering activities with the engineering community as well as the general society, and will be able to prepare reports. |
| 11 | Graduates will be able to demonstrate knowledge and understanding of the engineering and management principles and apply the same while managing projects in multidisciplinary environments. | 12 | Graduates will engage themselves in self and life-long learning in the context of rapid technological changes happening in Computer Science and other domains. |
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