Artificial Intelligence and Data Science – SCAD College of Engineering and Technology, Tirunelveli

nav

Overview

The department of Artificial Intelligence and data science was established on October 2021. This Department has dedicated faculty members with a sound knowledge in various areas and has the state-of-art facilities for various laboratories and supports smart class learning. The faculty members are expertized with machine learning, data science and big data analytics.

Vision

To impart quality education and produce high quality, creative and ethical engineers, instill professionalism, enhance students problem-solving skills in the domain of artificial intelligence and data science with a focus to prepare them for the industry, engage them in potential research areas, to pursue and have continued professional growth to serve the greater cause of society.

Mission

To provide skill-based education to master the students in problem solving and analytical skills to enhance their niche expertise in the field Artificial Intelligence and Data Science.

To educate the students with latest technologies to update their knowledge in the field of AI and Data science.

To enable students to experience content-based learning with premier quality data science education, research, industrial collaboration and to become an successful entrepreneur recognized globally.

Duration

4 years (Regular) / 3 Years (Lateral Entry)

No. of Semesters

8 (Regular) / 6 (Lateral Entry)

Intake / No. of Seats

Total – 60

Syllabus

Regulation 2021

Eligibility

10+2 system of Education. Must have secured a pass in Physics, Chemistry and Mathematics in the qualifying examination.

Scope for Higher Studies

M.E. / M.Tech. / M.B.A.

PEOs | POs | PSOs

Program Educational Objectives

PEO1:	Graduates shall have the necessary skill and knowledge in the mathematical, scientific and engineering concepts required to succeed in industry and in higher education.
PEO2:	Graduates shall have soft skills like communication, team work, leadership qualities, professional and ethical values and an ability to apply the skills to address the social issues.
PEO3:	Graduates shall practise lifelong learning needed for a successful professional career as engineers.

Program Outcomes

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:	Lifelong 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.

Program Specific Outcomes

PSO1:	An Ability to design, develop innovative mobile apps and implement software solutions based on requirements of real life problems.
PSO2:	An Ability and proficiency on the contemporary skills to manage database / data warehouse.

Learning Resources

NPTEL COURSES FOR ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

Career Opportunities

Data Scientist

Machine Learning Engineer

AI Research Scientist

Data Analyst

Data Engineer

Computational Scientist

AI Ethics Specialist

Contact Us

If you any queries, please contact us on the email given below.

3rd Floor, Left Wing, Main Block.
csehod@scadengineering.ac.in