PEO1:

Graduates will demonstrate strong analytical, computational, and problem-solving abilities through innovative and experiential learning approaches, enabling them to effectively address complex data-driven challenges in academia, industry, and research.

PEO2:

Graduates will engage in research and industry collaborations to develop practical and scalable data science solutions, fostering interdisciplinary innovation and entrepreneurship for real-world impact.

PEO3:

Graduates will uphold ethical standards, exhibit social responsibility, and adapt to global technological advancements while pursuing continuous learning and professional growth in data science and related fields.

PSO 1: Data Analytics and Modelling

Graduates will be able to apply statistical methods, machine learning algorithms, and computational techniques to analyze, model, and interpret complex data for meaningful insights and informed decision-making.

PSO 2: Data Engineering and Deployment

Graduates will be able to design, develop, and implement efficient data pipelines, database systems, and scalable solutions using modern tools and technologies for real-world data-driven applications.

PO1-Engineering Knowledge:

Apply knowledge of mathematics, natural science, computing, engineering fundamentals, and an engineering specialization to develop solutions to the complex engineering problems.

PO2-Problem Analysis

Identify, formulate, review research literature, and analyze complex engineering problems, reaching substantiated conclusions with consideration for sustainable development.

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.

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.

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

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.

PO7-Ethics

Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion; adhere to national & international laws.

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, and 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.