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BHARATH NIKETAN ENGINEERING COLLEGE

(Approved by AICTE – New Delhi & Affiliated to Anna University – Chennai)

| ISO - 9001 : 2015 Certified |

Counselling Code
5902
Mail Us : bnecadmin@gmail.com

B.Tech Artificial Intelligence and Data Science

B.Tech AI / DS

B.Tech Artificial Intelligence and Data Science

About the Department

The Department of Artificial Intelligence and Data Science (AI & DS) at Bharath Niketan Engineering College is established with the vision of developing future-ready professionals capable of transforming industries through intelligent technologies and data-driven solutions. The department focuses on delivering quality education in emerging technologies such as Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, Big Data, Cloud Computing, and Intelligent Systems.

Artificial Intelligence and Data Science have become some of the most rapidly growing fields across the world, creating enormous opportunities in healthcare, finance, automation, robotics, cybersecurity, business analytics, smart systems, and digital transformation. The department aims to equip students with strong technical knowledge, analytical thinking, innovation capability, and practical problem-solving skills required for modern technological industries.

Supported by experienced faculty members, advanced computing laboratories, industry-oriented curriculum, research initiatives, and practical training programs, the department provides students with excellent academic and professional exposure. Students are encouraged to participate in hackathons, coding competitions, internships, live projects, research activities, workshops, and industrial training programs.

The department continuously strives to create highly skilled AI professionals, data scientists, innovators, entrepreneurs, and ethical technology leaders capable of contributing effectively to the future digital world.
01

Vision

To become a center of excellence in Artificial Intelligence and Data Science education by producing innovative, technically proficient, research-oriented, and globally competent professionals for the digital era.
02

Mission

  • To impart quality education in Artificial Intelligence and Data Science through modern teaching-learning methodologies.
  • To equip students with strong programming, analytical, and data-driven problem-solving skills.
  • To promote innovation, research, and emerging technologies in AI and Data Science.
  • To strengthen industry collaboration through internships, projects, and industrial interaction programs.
  • To develop leadership qualities, communication skills, teamwork, and professional ethics among students.

HOD Message

Welcome to the Department of Artificial Intelligence and Data Science at Bharath Niketan Engineering College.

Artificial Intelligence and Data Science are transforming the world by enabling intelligent decision-making, automation, and innovative technological solutions. Our department is committed to providing students with strong academic knowledge, practical exposure, innovation opportunities, and research capabilities that prepare them for successful careers in the rapidly evolving technology landscape.

We focus on developing technical competency, creativity, analytical thinking, problem-solving skills, and ethical values among students through industry-oriented learning practices and advanced computing technologies. The department continuously encourages students to participate in internships, coding competitions, hackathons, workshops, seminars, industrial visits, and research activities that enhance their employability and professional growth.

Our objective is to nurture future AI engineers, data scientists, innovators, and entrepreneurs capable of contributing effectively to technological advancement and societal development.

Faculty Details

The Department of Artificial Intelligence and Data Science is supported by a team of highly qualified, experienced, and dedicated faculty members specialized in emerging computing technologies and intelligent systems.

Faculty Strengths:

  • Experienced Professors and Assistant Professors
  • Industry-certified trainers
  • Research-oriented academicians
  • Dedicated student mentors
  • Outcome-Based Education practitioners
  • Continuous faculty development initiatives

Areas of Expertise:

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Data Analytics
  • Big Data Technologies
  • Cloud Computing
  • Natural Language Processing
  • Computer Vision
  • Data Mining
  • Business Intelligence

The faculty members actively guide students in academics, innovation projects, research activities, internships, and placement preparation.

Laboratories

The department has advanced computing laboratories equipped with modern infrastructure, high-performance systems, and AI-based software tools to support practical learning and research activities.

Major Laboratories:

  • Artificial Intelligence Laboratory
  • Machine Learning Laboratory
  • Data Science Laboratory
  • Big Data Analytics Laboratory
  • Cloud Computing Laboratory
  • Python Programming Laboratory
  • Deep Learning Laboratory
  • IoT & Smart Systems Laboratory
  • Data Visualization Laboratory
  • Project Development Laboratory

Laboratory Features:

  • High-performance computing systems
  • Latest AI and analytics software tools
  • Cloud-enabled learning environment
  • Real-time project development support
  • Research and innovation facilities
  • High-speed internet connectivity

The laboratories provide practical exposure and hands-on training in intelligent technologies and data-driven applications.

Curriculum

The curriculum is designed according to Anna University regulations and industry requirements to prepare students for emerging technologies and modern digital industries.

Curriculum Highlights:

  • Python Programming
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Data Science
  • Big Data Analytics
  • Cloud Computing
  • Natural Language Processing
  • Computer Vision
  • Data Visualization
  • Internet of Things
  • Business Intelligence

Additional Learning Components:

  • Coding Practice Sessions
  • Hackathons & Competitions
  • Internship Programs
  • Mini & Major Projects
  • Industry Certification Courses
  • Technical Workshops
  • Seminars & Guest Lectures
  • Soft Skills & Communication Training

The curriculum enhances students’ innovation capability, technical competency, analytical thinking, and industrial readiness.

Career Opportunities

Artificial Intelligence and Data Science graduates have exceptional career opportunities in multinational companies, startups, research organizations, and advanced technology industries.

Career Opportunities Include:

  • Data Scientist
  • AI Engineer
  • Machine Learning Engineer
  • Data Analyst
  • Business Intelligence Analyst
  • Data Engineer
  • AI Research Associate
  • Deep Learning Engineer
  • Cloud Solutions Engineer
  • Software Developer
  • NLP Engineer
  • Computer Vision Engineer

Employment Sectors:

  • IT & Software Companies
  • Artificial Intelligence Industries
  • Data Analytics Firms
  • Healthcare Technology Companies
  • Banking & Financial Services
  • E-Commerce Industries
  • Cyber Security Companies
  • Research & Development Centers
  • Startups & Entrepreneurship

Students can also pursue higher studies, research programs, international certifications, and entrepreneurial ventures.

Placement Scope

The department continuously supports students through placement-oriented training and career enhancement programs.

Placement Enhancement Activities:

  • Aptitude Training
  • Coding & Programming Practice
  • Technical Skill Development
  • Mock Interviews
  • Resume Preparation
  • Communication Skills Training
  • Internship Assistance
  • Industry Interaction Sessions

Students are trained according to current industry standards and recruitment expectations of top technology companies.

01

Industry Exposure

The department regularly organizes industry-oriented activities that help students gain practical exposure to real-world AI and Data Science applications.

Industry Exposure Activities:

  • Industrial Visits
  • Internship Programs
  • Live Project Training
  • Guest Lectures by Industry Experts
  • Hackathons & Innovation Challenges
  • Technical Workshops
  • Industry Collaboration Programs
  • Certification Training Programs

These activities help students understand industry trends, intelligent technologies, and data-driven business solutions.

02

Research Activities

The department actively promotes research, innovation, and technology development activities among faculty members and students.

Research Focus Areas:

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Big Data Analytics
  • Natural Language Processing
  • Computer Vision
  • Cloud Computing
  • Smart Systems & IoT

Research Initiatives:

  • Technical Paper Publications
  • Student Innovation Projects
  • National & International Conferences
  • Prototype Development
  • Industry-Oriented Research Activities
  • Interdisciplinary Research Programs

Students are encouraged to develop innovative AI-based solutions for real-world challenges.

03

Professional Associations

The department motivates students to actively participate in professional associations and technical societies for professional development and networking.

Professional Bodies:

  • IEEE Student Chapter
  • Computer Society of India (CSI)
  • Indian Society for Technical Education (ISTE)
  • ACM Student Chapter
  • AI & Data Science Technical Association

Association Activities:

  • Technical Workshops
  • Coding Competitions
  • Hackathons
  • Seminars & Conferences
  • Guest Lectures
  • Innovation Challenges
  • Technical Symposiums

These activities help students enhance technical skills, leadership qualities, communication abilities, teamwork, and industry exposure.