Computer Science and Engineering (Data Science)

Introduction

The B.E. program in Computer Science and Engineering (Data Science) was started in the academicyear 2022-23 with an intake of 30 studentsThe department has enhanced the intake to 60 students in 2023-24. Data Analytics is a boon to modern-day businesses and there is a great demand in industry for Data scientist and there is scarcity of talented individuals in the field. To fill the skills shortfall in the industry it is now the best time to start a career in Data Science. The use of computer technologies is also common place in all types of organizations, in academia, research, industry, government, private and business organizations. As computers become even more pervasive, the potential for computer-related careers will continue to grow and the career paths in computer-related fields will become more diverse.

Data Science focuses on building engineering graduates to be skilled Data Scientists, Data Engineers, Data analyst and in various other designations. The program introduces students to the various application domains like finance, business, and healthcare wherein Data Science can be used to make smarter decisions, improve efficiency and control risks.Data engineering involves data collection methods, designing enterprise data storage and retrieval. The core data science subjects focus on data analytics, visualization, predictive modeling and analytics for data-driven decision making. Knowledge representation, machine learning, artificial intelligence, deep learning will be educated with relevant case studies.

The students can study industry-specific, custom-designed program electives on Blockchain Technologies, Natural Language Processing, Mobile Application Development, Cyber Security, Deep Learning, Social Media Networks Analysis and Robotic Process Automation Design and Development. The programme is designed to develop human resources to meet the challenges of ever-growing technologically advanced IT industries and digital revolution. The programme deals with important present day topics like data analytics, information security, bioinformatics, data warehousing and data mining, mobile application development and cloud computing. The domain of Data Analytics is observed to offer one of the highest-paid job roles across the globe.OF THE DEPARTMENT

Dr. M C Supriya

Professor and HOD

Vision of the Department

To create a first-class academic department that trains the next generation of students as data scientists to solve the grand challenges and innovate through world-class research to take advantage of these opportunities

Mission

Empower students in a field that has piloted in industrial revolution and the original computing revolution.
To build strong foundation in Data computation, Intelligent Systems that enables self-development entrepreneurship and Intellectual property.
Provide an environment for leading edge research that has a strong and rapid impact on the economy and that re-establishes the technological advancement.
To develop competent and skilled IT professional by imparting global skills and technologies for serving society.

PROGRAM OUTCOMES (PO)

Engineering Graduates will be able to:

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, review research literature, and analyse 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 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 the 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