The Department of CSE- Data Science established in the year 2020 with an intake of 60, as an Emerging Branch in the area of Computer Science and Engineering. An intake is increased to 120 from the academic year: 2023-2024. It provides engineering and problem-solving skills using computational methods. The students will have an opportunity to learn principles, tools and techniques to model various real world problems, analyze them, and discover useful information. Further, this specialization empowers the students in decision-making using advanced data analytics and data visualization techniques. The prime focus of this program is to equip students with statistical skills, mathematical reasoning, machine learning, and knowledge discovery and visualization skills. The program is designed to meet the increasingly aggressive demand for qualified data scientists in virtually every sector of the economy. The graduates of the program will have scope in different industries that work on domains such as finance, business, economics, healthcare, and research laboratories etc.,
To achieve academic excellence and be a globally recognized research center in the field of Data Science.
MISSION
To provide cutting-edge education in the field of Data Science.
To empower students to develop innovative and cognitive solutions with the help of data analytical skill set.
To establish strong partnerships with industry and research organizations in the field of Data Science, and to excel in research in emerging areas.
To cultivate a strong sense of social responsibility among students, fostering their inclination to utilize their knowledge and skills for the betterment of society.
Program Objectives (POs)
PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2: Problem analysis: Identify, formulate, review 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 the public health and safety, and the 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 the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development
PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice
PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions
PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
Program Educational Objectives (PEOs)
PEO1: Adapt emerging technologies & tools of Data Science and develop effective solutions in various fields such as healthcare, agriculture, industry, education, Marketing etc.,
PEO2: Exhibit professional leadership qualities to excel in profession.
PEO3: Engage in life-long learning and professional development in rapidly changing working environment.
PEO4: Possess human values, professional ethics and contribute to research activities to meet the societal needs and private sector.
Program Specific Outcomes (PSOs)
PSO1: Analyze, design and develop solutions to real world problems.
PSO2: Develop professional skills in the thrust areas like Statistical Methods, Big Data Analytics, Artificial Intelligence, Machine Learning, Deep Learning, Internet of Things and Data visualization.
PSO3: Apply the knowledge of emerging technologies of Data Science to provide sustainable solutions to societal needs.
Clarity – developing the Vision
Having clarity of purpose and a clear picture of what you desire, is probably the single most important factor in achievement. Why is Clarity so important?
Without clarity, you send a very garbled message out to the Universe. We know that the Law of Attraction says that we will attract what we focus on, so if we don’t have clarity, we will attract confusion.
The laboratories are the backbone of engineering course of study, the Laboratory instruction develops students' experimental skills, ability to work in teams and communicate effectively, learn from failure, and be responsible for their own results. We have the following laboratories with full-fledged faculties.
Electrical Circuits & Simulation Laboratory
The laboratories are the backbone of engineering course of study, the Laboratory instruction develops students’ experimental skills, ability to work in teams and communicate effectively, learn from failure, and be responsible for their own results. We have the following laboratories with full-fledged faculties.
