Artificial Intelligence & Data Science

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About AI & Data Science Department

The B.Tech. in Artificial Intelligence and Data Science is a 4-year undergraduate degree* that provides a comprehensive education in the theoretical and practical aspects of AI and data science. The program includes topics such as machine learning, natural language processing, data mining, deep learning, big data analytics, and AI systems design.

Throughout the course, students will learn how to develop and deploy AI-powered solutions to solve complex real-world problems, analyze data to uncover hidden patterns, and gain insights to drive decision-making processes.

The course is structured to provide a balanced mix of academic knowledge and hands-on experience. It prepares students for careers in AI, data science, data engineering, and related fields by offering industry-oriented projects, internships, and research opportunities.

Vision

  • To be a global leader* in education and research in the fields of Artificial Intelligence and Data Science.
  • To create a dynamic and collaborative learning environment* that nurtures the next generation of AI professionals capable of transforming industries through innovative solutions.
  • To develop industry-ready graduates* with strong problem-solving, analytical, and technical skills in AI and data science.
  • To contribute to the advancement of knowledge* in AI and data science by conducting high-quality research and collaborating with academic, industry, and government organizations.

Mission

  • To provide world-class education* in Artificial Intelligence and Data Science, enabling students to become experts in cutting-edge technologies.
  • To foster innovation, creativity, and research* in AI and data science, equipping students with the tools to develop intelligent systems and solve real-world problems.
  • To prepare students for industry leadership* by providing them with the knowledge and practical experience necessary to thrive in AI and data science careers.
  • To promote ethical practices* and social responsibility in AI and data-driven solutions that benefit society and contribute to sustainable development.

Curriculum

The B.Tech. Artificial Intelligence and Data Science curriculum is divided into eight semesters. It begins with foundational courses and progresses to specialized AI and data science topics in the later semesters.

Foundation Courses

  • Engineering Mathematics (I, II, III, IV)
  • Engineering Physics
  • Engineering Chemistry
  • Engineering Mechanics
  • Computer Programming (C, C++, Java)
  • Discrete Mathematics
  • Probability and Statistics
  • Basic Electrical Engineering
  • Data Structures and Algorithms

Elective Courses (in the later semesters)

  • Advanced Machine Learning
  • Computational Intelligence
  • AI in Healthcare
  • Quantum Computing
  • Blockchain Technology
  • Data Security and Privacy
  • Smart Cities and IoT

Core Courses

  • Data Structures and Algorithms
  • Machine Learning
  • Artificial Intelligence
  • Data Mining
  • Deep Learning
  • Natural Language Processing (NLP)
  • Big Data Analytics
  • Database Management Systems
  • Computer Vision
  • Cloud Computing
  • Robotics and Automation
  • Reinforcement Learning
  • Predictive Analytics
  • Internet of Things (IoT)
  • Data Visualization and Analysis

Laboratory Work and Projects

  • Programming Laboratory (Python, R, TensorFlow, Keras)
  • Machine Learning Laboratory (Supervised and Unsupervised Learning)
  • Data Analytics Laboratory (Data Preprocessing and Feature Engineering)
  • Deep Learning Laboratory (Neural Networks and Convolutional Networks)
  • Big Data Laboratory (Hadoop, Spark)
  • Data Visualization Laboratory (Tableau, Power BI)
  • Mini Projects and Capstone Projects on AI and Data Science
  • Industry-driven Projects (in collaboration with AI companies)

Industry Exposure

  • Industry internships with leading AI and data science companies
  • Research collaborations and projects with academic and corporate partners
  • Guest lectures and workshops from AI and Data Science experts
  • Participation in AI and Data Science competitions

The curriculum is designed to ensure that students gain practical knowledge and industry-relevant skills. It integrates theory with hands-on learning through projects, labs, and internships.

Career Opportunities

Graduates of the B.Tech. in Artificial Intelligence and Data Science program are well-prepared for a wide range of careers in the rapidly growing AI and data science fields. Career opportunities include:

  • AI Engineer : Designing and developing AI-based systems, algorithms, and applications for various industries.
  • Data Scientist : Analyzing and interpreting complex datasets to extract valuable insights for business decision-making.
  • Machine Learning Engineer : Developing and deploying machine learning models to improve business processes and solve complex problems.
  • Data Analyst : Extracting, analyzing, and visualizing data to generate reports and insights for business improvement.
  • Big Data Engineer : Building and managing the infrastructure for processing and analyzing massive datasets using big data technologies.
  • AI Research Scientist : Conducting research in AI technologies, exploring new algorithms, models, and AI applications.
  • Business Intelligence Analyst : Using data to inform business decisions and drive strategy, leveraging tools like Tableau and Power BI.
  • Robotics Engineer : Designing AI-based robotic systems and automation solutions for various industries.
  • Cloud Solutions Architect : Architecting cloud-based AI systems and platforms to manage and analyze data.
  • Blockchain Developer : Developing secure and efficient blockchain solutions with AI integration.
  • AI Consultant : Advising companies on implementing AI and data-driven strategies to enhance business operations.

Graduates can also pursue higher education and research opportunities in AI, machine learning, data science, and related fields. The demand for AI and data science professionals is expected to grow rapidly in the coming years, and this program provides students with the skills needed to meet that demand.

FACULTY DETAILS

Mrs. J.Jasmine Alice Manomani M.E

AP/AIDS
DOJ in MCE : 10-12-2010

Mrs. R. Sathiyakala M.E.

AP/AIDS
DOJ in MCE : 04-05-2022

Mrs. B. Divyabharathi M.E.

AP/AIDS
DOJ in MCE: 01-02-2024

Mrs. D. Sudha M.E.

AP/AIDS
DOJ in MCE: 04-04-2024

Ms. B. Shanmugapriya

AP/AIDS
DOJ in MCE: 25-11-2024

Laboratory

The Department of Artificial Intelligence and Data Science boasts state-of-the-art laboratories designed to provide hands-on training and foster innovation. Some of the key labs include:

  • Machine Learning Laboratory : Equipped with powerful computational resources and software libraries like TensorFlow, Keras, and Scikit-learn for experimenting with machine learning models and algorithms.
  • Data Analytics Laboratory : A space for students to work on big data analytics tools and techniques. Students use platforms like Hadoop and Spark to process and analyze large datasets.
  • Deep Learning Laboratory : Focuses on the implementation of deep learning algorithms, neural networks, and reinforcement learning.
  • Natural Language Processing (NLP) Laboratory : A facility dedicated to exploring text analysis, speech recognition, and other NLP applications using libraries like NLTK and spaCy.
  • Data Visualization Laboratory : Students can explore data visualization tools such as Tableau, Power BI, and D3.js to present complex data insights effectively.
  • Big Data Laboratory : Students work with big data technologies, including Hadoop, Spark, and cloud-based tools for storing and analyzing vast amounts of data.
  • AI Research and Development Lab : A space for students to engage in research projects related to AI, such as robotics, autonomous systems, and AI applications in healthcare, finance, and other domains.

    • These laboratories are equipped with modern hardware, high-performance computing systems, and software necessary to support the rigorous demands of AI and data science experiments.

Faculty Development Programme (FDP)

STAFF NAME : D.SUDA
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