About

B.Tech Artificial Intelligence and Data Science is an undergraduate programme which is essential for the present digital world that incorporates the training and profound expertise on most recent innovative methodologies. The objective of this course is to equip students in creating workable solutions for issues faced by society through Service-Learning Modules. The Curriculum and Syllabus is well designed by the team of experts to match the industry expectations. The program encompasses students to get expertise in critical skills such as Artificial Intelligence, Machine learning, Data Science, Advanced Analytics and Mathematical modelling.
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Department Highlights

• Well scrutinised and meticulously crafted Curriculum
• Syllabus based on Industry trends
• Excel students and faculty in the recent fields of AI and DS to par with industry standards.
• Revolutionary Pedagogies and Design-Based Learning
• Personality Development and Skill Development
• Well equipped laboratory facilities
• Innovation, Incubation, and Entrepreneurship facilities.
• Flexible programme with industry research collaborations.
• State of the Art Infrastructure for technical ability Enhancement.
• Explore Exciting and Innovative AI Project ideas.
• Course delivery through real world applications.
• Placement opportunities in top-tier industries.

HOD’s Desk

Dr.S.Venkata Lakshmi

Professor and Head

• SKCET offers the best engineering program of B.Tech Artificial Intelligence and Data Science (AI &DS) .As the Head of the Department, i feel privileged to be leading a team of committed, talented and experienced faculty members. AI & DS is the most conspicuous technology that is instrumental in transforming the facet of industry and mankind. This course is specially designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of Machine Learning, Deep Learning, Analytics and Visualization technologies.
• Our department aims to produce skilled professional in the domain of AI and DS and enable them to excel professionally. It also provides state of the art laboratory facilities to the students to get better practical exposure and strong ties with industry, research organizations and the community at large.

Faculty Details

Syllabus

INDUSTRY INTERACTIONS – 2026

IHub AI Research and Robotics Pvt Ltd, Kochi, Kerala – Industry Visit

The Department of Artificial Intelligence and Data Science organized a Company visit for the Second Year AI & DS students to IHub AI Research and Robotics Pvt Ltd, Kochi, Kerala on 31.01.2026. A total of 47 students and 2 faculty participated in this event. The visit aimed to provide insight into robotics research, intelligent automation, embedded systems, and AI-driven applications. Students gained a clear understanding of how AI and Data Science principles are integrated into robotic perception, navigation, and decision-making systems, helping them visualize future professional roles in AI, robotics, and research domains.

Objectives of the Visit

The main objectives of the visit were:

• To expose students to real-time applications of AI and Data Science in robotics
• To understand intelligent robotic system architecture
• To observe integration of hardware, software, sensors, and algorithms
• To gain awareness of Company R&D workflows
• To highlight emerging career opportunities in AI, robotics, and automation

IHub AI Research and Robotics Pvt Ltd specializes in developing intelligent robotic solutions for company Automation, Service Robotics, Autonomous Systems, Embedded AI Solutions, Smart Manufacturing. The organization focuses on building affordable, scalable, and reliable robotic platforms by combining embedded hardware, machine learning models, and intelligent control algorithms.

Robotic Platforms Demonstrated

During the visit, students were introduced to several robotic platforms developed and customized by the organization for research and Company deployment, including:

Technical Sessions and Knowledge Gained

Academic Relevance

Company visits are a vital component of outcome-based engineering education, enabling students to bridge the gap between classroom learning and real-world Company applications. With rapid advancements in Artificial Intelligence (AI), Data Science (DS), and Robotics, it is essential for students to gain exposure to Company environments where these technologies are practically implemented.

The visit clearly demonstrated how core AI & DS subjects are applied in robotics:

• Python and C++ for AI models and real-time control
• Machine learning and deep learning for perception tasks
• Data preprocessing, filtering, and visualization
• Computer vision for object detection and tracking
• Embedded programming for sensor–actuator interfacing

Students also learned about professional software practices including version control, modular design, testing, and documentation.

Career Orientation

Engineers explained various career paths:

• Robotics Software Engineer
• Machine Learning Engineer
• Data Scientist
• Embedded AI Engineer
• Research Engineer
• Automation Engineer

Each role requires a strong foundation in programming, algorithms, mathematics, and system integration.

The Company visit to IHub AI Research and Robotics Pvt Ltd successfully achieved its objectives by providing valuable exposure to AI-driven robotic systems and Company development practices. The visit enhanced students’ understanding of real-world applications of Artificial Intelligence and Data Science, motivated them toward skill development and project-based learning, and offered clarity on future career pathways.

PAYODA INTERNSHIP – INDUSTRY VISIT

Students from Department of Artificial Intelligence and Data Science along with the faculty Mr.G.S.Pugalendhi visited PAYODA Technologies Pvt. Ltd. office on 03.11.2022 from 3 Pm to 6:30 Pm for an internship meeting and had a knowledgeable time there. The discussion was on industry expectations, how to develop industry skills, Industry projects, How interns help students and proposed future work on ongoing projects.

Book Publications

Patents

Publication

Placement Statistics

Placements 2024-2025

Placements 2023-2024

Placed Students List 2023 – 24

Student Achievements

2025-2026

2021-2022

2022-2023

Programme Outcomes

Artificial Intelligence and Data Science Graduates will be able to:

• PO-1
  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, review research literature, and analyze 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 modeling to complex engineering activities with an understanding of the limitations.
• PO-6
  The engineer and society: Apply reasoning informed by the contextual knowledge toassess 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.

Programme Educational Objectives (PEOs)

• PEO-1
  To build a successful career in IT/relevant industry or carryout research in advance areas of Artificial Intelligence, Data Science and address various issues in the society
• PEO-2
  To develop problem solving skills and ability to provide solution for real time problems.
• PEO-3
  To develop the ability and attitude of adapting themselves to emerging technological Challenges
  PEO-4
  To excel with excellent communication skills, leadership qualities and social responsibilities

Programme Specific Outcomes

• PSO-1
  Understand, analyze and develop innovative solutions for real world problems in industry and research establishments related to Artificial Intelligence and Data Science.
• PSO-2
  Ability to choose or develop the right tool for Data analysis and develop high end intelligent systems
• PSO-3
  Apply programming principles and practices for developing software solutions to meet future business and society needs.