PEO’S

PEO1:Preparation:  The learners of Data Science Engineering can be able to apply the knowledge of mathematics, Applied Science, Computing, Basic Engineering field  to identify, analyze, formulate, design, and develop the practical  solutions for industry and academics.

PEO2:Core Competence: To enable the learners with core curriculum knowledge in theory and practical’s of Data Science Engineering to develop the innovative skills in design,  simulation, investigation of complex problems, critical reasoning, development & testing knowledge for offering solutions to real life.

PEO3:Breadth Knowledge: To provide the learners with breadth knowledge to build the Data Science Engineering professionals to lead the team work and skills to develop the abilities to communicate, lifelong learning and aptitude of project management, finance with entrepreneurial values.

PEO4:Leading Professional knowledge: To practice using a system of multi-faceted disciplinary approach to develop R&D skills by MOUs with premier industries and institutions interacting with training sessions and industrial visits to the learners to have awareness in latest trends of Cloud Computing, Cyber Forensics, Hadoop, Big data, Android etc… in concurring the modern software’s and tools of Data Science to lead the escalating needs of society.

PEO5:Career Improvement and ethics: To build the learners with the knowledge of real time requirement of cutting edge technologies by intellectually adapt to promote employability, higher education and imbibing ethical, social and eco-friendly.