Vision

To nurture pioneering Computer Science Engineers with a focus on Data Science by providing them with an outstanding educational experience that fosters all-round development, academic excellence and creative thinking, thereby propelling advancements in technology and society.

Mission

M1: To offer with comprehensive educational program that integrates academic training with a solid foundation in data science concepts, techniques and applications.

M2: To encourage students for applying the tools of data analytics and conceptual knowledge for solving societal problems.

M3: To enable researchers and students to discover implicit patterns in large and complex data sets.

M4: To accustom the students with current industry practices, environment and entrepreneurship.

Program Educational Objectives (PEOs)

PEO 1: Graduates will acquire capability to apply their knowledge and skills to solve various kinds of computational engineering problems.

PEO 2: Graduates will exhibit the ability to apply the acquired skills in various domains and multi-disciplinary areas, to function ethically and meet the ever-increasing technological and social challenges.

PEO 3: To evolve as resourceful engineers catering to dynamic industrial needs and engage in life-long learning.

PEO 4: Graduates will acquire soft skills to adapt and excel in diverse global environment.

Program Specific Outcomes(PSOs)

1. Make critical evaluation of the theories, techniques, tools and systems that are used to build data science based solutions in different domains.

2. Apply analytic techniques and algorithms (including statistical, data mining, machine learning, Artificial Intelligence and soft computing approaches) to large data sets to extract meaningful insights by using relevant software tools, languages, data models, and environments for data analysis and visualization.

3. Formalize data analysis problems in terms of the underlying statistical and computational principles and then provide technological pipeline to ingest, stage, transform and design solutions to the problems encountered in industry or academia.

4. Interpret results of analysis, assess their credibility and communicate the results effectively (visually and verbally) to a broad audience within an organization. 

Program Outcomes(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.