Admission 2025

AI And Data Science

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About the
Department

The B.Tech in Artificial Intelligence and Data Science is a forward-thinking undergraduate program designed to equip students with a strong foundation in AI and data science. This degree empowers students to develop intelligent systems, software, and applications using advanced techniques in machine learning, analytics, and data visualization. The curriculum not only covers core areas like artificial intelligence, data mining, and data modeling but also provides in-depth knowledge of machine learning and big data analytics, ensuring graduates are industry-ready. Students gain hands-on experience with a wide array of data science tools, from long-established platforms such as MATLAB, R, and WEKA, to cutting-edge technologies like Python, Jupyter Notebook, Apache Spark, and popular libraries including Keras, TensorFlow, and PyTorch, preparing them for successful careers in the ever-evolving field of data science. Our dynamic syllabus focusses on:
  1. Google’s AI-powered predictions (E.g.: Google Maps)
  2. Ride-sharing applications (E.g.: Uber)
  3. AI Autopilot in Commercial Flights
  4. Spam filters on Emails
  5. Plagiarism checkers and tools
  6. Facial Recognition
  7. Search recommendations
  8. Smart personal assistants (E.g.: Siri, Alexa)
  9. Fraud protection and prevention.

Vision

The Department of Artificial Intelligence and Data Science desires to become a: prominent Centre of Excellence for producing competent Data Architect for providing quality education by using the latest tools

Mission

Provide quality education in the field of Artificial Intelligence and Data Science related domains

Facilitate Skill based value added education

Inculcate professional performance, an essence of entrepreneurship and promise to the growth of the country

Providing varying software development tools and required implementation facilities

Programme
Educational
Objectives

PEO 1:

To provide graduates with the proficiency to utilize the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volume of data

PEO 2:

To enrich graduates with necessary technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystem

PEO 3:

To enable graduates to think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team

PEO 4:

To Prepare Personality Skills, Provoke Social Commitment and Instill Societal Responsibilities in their Profession

Programme
Outcomes

PO 1:

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO 2:

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 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:

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:

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:

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:

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:

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO 9:

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 10:

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:

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:

Recognize the need for and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

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Program
Specific Outcomes

PSO1:

Apply knowledge pertaining to Data engineering, Data pipelining and Programming skills to analyze socially relevant problems by means of Artificial Intelligence and Data Science

PSO2:

Use Machine Learning tools related to Data Management, Data Manipulation, Data Visualization, Big Data and Deep Learning to analyze and interpret complex data sets to drive decision making

PSO3:

Uphold professional standards and ethical principles in the development and deployment of AI and Data Science solutions, ensuring fairness, transparency, and accountability while respecting privacy, mitigating bias, and complying with legal and regulatory frameworks

Hear it from
our Engineers

Mathi Yuvarajan

HCL Technologies
Batch 2018-2023

It was my great fortune to be a part of KCG College, where I have had the opportunity to grow. The entire faculty and department leave no stone unturned in shaping one’s future. My four years at KCG have been a wonderful learning experience with extensive exposure to external opportunities. I hold immense respect, love, and devotion for all the faculty members and the department. It is their efforts that have transformed me into a true professional.

Pradhatchaya R

2016-2020

“Having been an industrial entrepreneur for the last six years, there has not been a single day without challenges. Every challenge has reinforced the concepts I learned and the practical applications they led to. The mentoring provided by the wonderful and versatile staff at KCG College of Technology has been a great source of motivation and has fueled my innovative spirit. My entrepreneurial skills have been nurtured here, at the forefront of innovation, and I’m honored to be one of the many entrepreneurs who emerged from this remarkable institution.