College Code : SCM

Artificial Intelligence and Data Science

“The science of today is the technology of tomorrow.” – Edward Teller

At the SCMS School of Engineering and Technology, the Department of Artificial Intelligence and Data Science was established in 2023 and is dedicated to pioneering the next wave of technological innovation. We are committed to providing our students with a top-tier education that blends rigorous academic training with hands-on experience. Through cutting-edge research, collaborative projects, and a strong emphasis on ethical practices, we prepare our graduates to tackle the complex challenges of the industry and contribute meaningfully to society, emphasizing the importance of ethical considerations and responsible AI practices, fostering a culture of integrity and social responsibility. With access to state-of-the-art facilities, industry collaborations, and guidance from experienced faculty, students are empowered to develop pioneering solutions that drive progress across various domains. Join us to explore the frontiers of machine learning, data analytics, and AI-driven solutions, and become a part of a community committed to excellence, innovation, and ethical responsibility.

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Vision & Mission

To be a leading center for innovation, research, and excellence in artificial intelligence and data science, driving technological advancements and contributing to societal growth.

To deliver exceptional education in Artificial Intelligence and Data Science by promoting a learning environment that emphasizes technical expertise, ethical values, and holistic personal development to meet the evolving challenges of the industry and society through innovative research, hands-on experience, and a commitment to ethical practices.

  • To create, acquire, and disseminate engineering knowledge for transforming students into professionals by imparting expertise in mathematics, computing sciences, artificial intelligence, and data science, along with the skills of cognitive computing.
  • To provide a learning environment that emphasizes technical expertise, ethical values, and holistic personal development to meet the evolving challenges of the industry and society.
  • To produce graduates who will be innovators and leaders in the field of Artificial Intelligence and Data Science along with the commitment to ethical responsibilities and lifelong learning.

POs,PSOs and PEOs

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO 2: Problem analysis: Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences
PO 3: 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.
PO 4: 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.
PO 5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
PO 6: 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.
PO 7: 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.
PO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 10: 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.
PO 11: 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.
PO 12: 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.

PSO1 - Apply basic science and mathematical principles to design, develop or reengineer automobiles.
PSO2 - Design or develop subsystems required for building safe, efficient and green vehicles.
PSO3 - Applying knowledge of the function of various automobile components and systems for continuous and preventive service and maintenance.

Within a few years of graduation, the candidate is expected to have achieved the following objectives:

PEO 1 – Knowledge Attainment: Graduates shall reap sound technical competency and expertise in numerous fields of Automobile Engineering leading to a successful career.
PEO 2 – Social Responsibility: Graduates shall use the obtained abilities and understanding to remedy complicated Automobile Engineering troubles for the betterment of society.
PEO 3 – Integrity and Ethics: Graduates shall conform to professional ethics and contribute to uphold the integrity of their profession.
PEO 4 – Communication Skills: Graduates shall develop strong technical communication skills and intra and inter personal skills which would help inculcate in them team spirit, management and leadership qualities


Roshna K R CSE 2020-24 Batch

Lenita Biju 2020-24 Batch

Ijas Ahammed 2020-24 Batch

H Bharath 2020-24 Batch

Gopikrishnan 2020-24 Batch

Chackochan Sebastian 2020-24 Batch

Arjun J 2020-24 Batch

Aleena Johny 2020-24 Batch

Abhishek Sajeev 2020-24 Batch

Abdulla Imzan 2020-24 Batch

Aleena Johny 2020-24 Batch

Sebin Tommy 2020-24 Batch

Anjali Krishna 2020-24 Batch

Gopikrishna MA 2020-24 Batch

Pooja R Menon 2020-24 Batch


PRATYUSH NAIR 2020-24 Batch


ASWINKUMAR YS 2020-24 Batch


SAURABH SUNIL 2020-24 Batch


KENAS VARGHESE 2020-24 Batch




SOURAV P C 2020-24 Batch


SHAHANMOL B 2020-24 Batch

Sreelekshmi J L 2020-24 Batch

Placement summary

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Faculty Members

Nisha. S. Raj Assistant Professor
Dr. Manish T I Professor
Dr. V Suresh Kumar Professor
Dr. Sonal Ayyappan Associate Professor
Dr.Anu V.R Associate Professor
Dhanya K.A Assistant Professor
Dr. Deepa K Associate Professor
Josna Philomina Assistant Professor
Dr. Gayathry.S.Warrier Assistant Professor
Susmi Jacob Assistant Professor
Dr.Arshey .M Assistant Professor
Bini Omman Assistant Professor
Sindhya K Nambiar Assistant Professor
Neenu Sebastian Assistant Professor
Litty koshy Assistant Professor
Shilpa .PC Assistant Professor
Rosebell Paul Assistant Professor
Binu John Assistant Professor
Asha .S Assistant Professor
Deepasree Varma .P Assistant Professor
Neethu Krishna Assistant Professor
Athira Manikuttan Assistant Professor
S Asha Assistant Professor
Mahesh K M Assistant Professor
Blessy Antony Assistant Professor
Seethal Prince E Assistant Professor
Dr. Sowmya K Menon Assistant Professor
Surya S G Assistant Professor
Dr. Lalu P. George Assistant Professor
Greshma P Sebastian Assistant Professor
Dr. Aswathy K Cherian Assistant Professor
Reshma K V Assistant Professor
Doney Daniel Assistant Professor
Meera V M Assistant Professor
Jisna Jaison T Assistant Professor
Hima K G Assistant Professor
Sruthy K Joseph Assistant Professor
Demy Devassy Assistant Professor
Aiswarya Menon Assistant Professor
Shali Sara Abraham Assistant Professor

Faculty Members

Dr. Varun G. Menon Professor/ Deputy Dean Research & Development
Dr. Manish T I Professor/HOD
Dr. Deepa K Associate Professor
Ms.Dhanya K.A Assistant Professor
Ms.Josna Philomina Assistant Professor
Ms.Bini Omman Assistant Professor
Ms.Litty koshy Assistant Professor
Ms.Rosebell Paul Assistant Professor
Ms. Asha .S Assistant Professor
Ms.Neethu Krishna Assistant Professor
Ms.Athira Manikuttan Assistant Professor
Mr.Mahesh K M Assistant Professor
Ms.Surya S G Assistant Professor
Ms.Reshma K V Assistant Professor
Ms.Doney Daniel Assistant Professor
Ms.Meera V M Assistant Professor
Ms.Sruthy K Joseph Assistant Professor
Ms Vyshna R K Assistant Professor
Mr Anoop Jose Assistant Professor
Ms Deepa Johny Assistant Professor
Ms Anisha Antu Assistant Professor
Ms Kavitha S Assistant Professor
Ms Rinsu Aravind Assistant Professor
Dr. Anjana S Chandran Assistant Professor
Dr. Lalu P. George Assistant Professor
Dr. Sowmya K Menon Assistant Professor
Greshma P Sebastian Assistant Professor
Demy Devassy Assistant Professor

Technical Staff Members

Ajish K K Computer Lab Assistant
Asha Jacob Computer Lab Assistant
Sushitha P.K Instructor – Computer Lab
Anoop P.V Computer Lab Assistant
Ajith Kumar.A Computer Lab Assistant
Sumesh N K Computer Lab Assistant
Deljo Paul Computer Lab Assistant
Vishnuraj K N Data Entry Operator cum Computer Lab Assistant
Mr. Rajeev K.J Computer Lab Assistant
AMAL P.T Computer Lab Assistant

Alumini Testimonials

Joyal Koonan

Class of 2019
B.Tech, Computer Science & Engineering
SCMS School Of Engineering & Technology

Kiren Thomas

Class of 2015
B.Tech, Computer Science & Engineering
SCMS School Of Engineering & Technology

Nadeem A S

Class of 2017
B.Tech, Computer Science & Engineering
SCMS School Of Engineering & Technology

Neenu Nandanan

Class of 2017
B.Tech, Computer Science & Engineering
SCMS School Of Engineering & Technology

Sarath Rajan P

Class of 2010
Computer Science and Information System
SCMS School Of Engineering & Technology

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