Artificial Intelligence and Data Science

B.Tech – Artificial Intelligence and Data Science (AI & DS)

Introduction

The Bachelor of Technology (B.Tech) in Artificial Intelligence and Data Science at AVS College of Technology is a four-year undergraduate program designed to meet the rapidly growing demand for intelligent systems and data-driven decision-making. The program is approved by AICTE and affiliated to Anna University, Chennai, and follows a curriculum that blends core computer science concepts with advanced AI and data analytics technologies.

Program Overview

The AI & DS program focuses on developing intelligent machines and analytical systems capable of learning from data, identifying patterns, and making informed decisions. Students are trained to handle large volumes of structured and unstructured data using modern algorithms, statistical techniques, and computing platforms.

The course emphasizes innovation, analytical thinking, ethical AI practices, and real-world applications, preparing graduates to work across industries such as IT, healthcare, finance, manufacturing, e-commerce, and smart systems.

Career Opportunities

  • Data Scientist
  • Artificial Intelligence Engineer
  • Machine Learning Engineer
  • Data Analyst / Business Analyst
  • Research Engineer
  • AI Solutions Architect

Graduates may also opt for higher studies, research programs, professional certifications, or innovation-based startups.

Vision

To Develop AI & Data Science Professionals with strong ethical values and innovative thinking and technology advancements in the industry.

Mission

To equip the students with core competencies to solve real world problems using Artificial Intelligence.

Programme Educational Objectives (PEOs)

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Programme Specific Outcomes (PSOs)

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Programme Outcomes (POs)

  • Apply AI and data science principles to solve complex problems
  • Design and develop intelligent and data-driven systems
  • Use modern tools and platforms for data analytics and machine learning
  • Adapt to emerging technologies through continuous learning
  • Work effectively in multidisciplinary teams
  • Uphold ethical standards and contribute responsibly to society

Faculty Members

S.No AU-FIN AICTE ID Name of the Faculty Designation Photo
1 2631841991 1-3574966325 Mrs VIJAYALAKSHMI K Assistant Professor Mrs VIJAYALAKSHMI K
2 2738721991 1-47899545111 Mrs MYTHILI K Assistant Professor Mrs MYTHILI K
3 2613921988 1-44742386514 Mr ANANDAKUMAR K Assistant Professor Mr ANANDAKUMAR K
4 2646981993 1-46647452069 Mrs KEERTHANA G Assistant Professor Mrs KEERTHANA G
5 2649971987 1-45161369916 Mr THANARAJ G M Assistant Professor Mr THANARAJ G M
6 2669011994 1-7376776905 Mrs VANMATHI N Assistant Professor Mrs VANMATHI N
7 2622971989 1-47948898152 Mrs VIDHYA K Assistant Professor Mrs VIDHYA K
8 2695311994 1-7461449435 Mrs BAWYA M Assistant Professor Mrs BAWYA M
9 2714241993 1-47965142152 Ms PRIYA N Assistant Professor Ms PRIYA N

Laboratory Facility

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Department Activities / Events

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Projects

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Placement Records

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Achievements

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Professional Societies

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Industry Tie-ups / MoUs

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Consultancy Services

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Innovations in Teaching and Learning

  • Interactive lectures and hands-on laboratory sessions
  • Case studies and real-time data analysis projects
  • Industry interaction, workshops, and expert talks
  • Hackathons, coding challenges, and research activities
  • Use of modern AI frameworks and cloud platforms
  • Students are encouraged to develop problem-solving skills, teamwork, communication abilities, and ethical responsibility in the use of AI technologies.

Infrastructure and Facilities

  • Advanced computing laboratories with high-performance systems
  • Licensed software and AI development tools
  • Cloud computing and data analytics platforms
  • Smart classrooms and digital learning resources
  • Access to research papers, datasets, and e-learning facilities

Curriculum Highlights

  • Python Programming and Data Analytics
  • Probability, Statistics, and Linear Algebra
  • Artificial Intelligence
  • Machine Learning and Deep Learning
  • Big Data Analytics
  • Natural Language Processing (NLP)
  • Computer Vision
  • Cloud and Edge Computing
  • Data Visualization and Business Intelligence

Laboratory courses, mini projects, internships, and a final-year major project ensure strong practical exposure and application-oriented learning.

Library Details

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Industrial Visits

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