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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.
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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.
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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.
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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.
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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.
Mapping of mission and PEO’s are slightly revised based on justifications mentioned below.
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EO STATEMENTS
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PEO1
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PEO2
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PEO3
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PEO4
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PEO5
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M1(Quality Education)
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3
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3
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2
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1
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3
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M2(Professional career)
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2
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3
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2
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2
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2
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M3(Entrepreneur and Research)
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2
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3
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2
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3
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1
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PEO MAPPING
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Justification
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PEO1 mapped with M1(3), M2 (2), M3(2)
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Is deliberately to prepare students by acquiring adequate knowledge in science and engineering to lead the technological environment as well as professional career
Hence PEO1 highly correlated to M1 and correlate moderate with M2, M3
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PEO2 mapped with M1(3), M2 (3), M3(3)
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M1, M2, M3 highlights the developing students into standard professionals by learning innovative skills and simulation tools to meet industry standards
Hence PEO2 highly correlated to M1 M2, M3
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PEO3 mapped with M1(2), M2 (2), M3(2)
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Mission statements highlights developing the students into standard ethical professionals by gaining breadth knowledge of computer science and engineering for developing products or software’s to meet entrepreneur values
Hence PEO3 Moderately correlated to M1 M2, M3
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PEO4 mapped with M1(1), M2 (2), M3(3)
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Mission 1 highlights low correlated with PEO4 because student have to learn Advance professional Knowledge, M2, M3 highlights developing products by doing research to meet profession career as well as advance learning skills so M3 is highly corrected with PEO4
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PEO5 mapped with M2 (2), M3(1)
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Is to deliberate the graduate students by learning cutting edge technologies to promote employability for successful career.
Hence PEO 5 is moderately correlated with M2
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