B.Tech. Artificial Intelligence and Data Science

ABOUT THE DEPARTMENT

Department of Artificial Intelligence & Data Science

Artificial Intelligence and Data Science Department
AI, Data Science & Intelligent Technology

About the Department

The Department of Artificial Intelligence and Data Science at Maria College of Engineering and Technology is committed to developing highly skilled technology professionals with strong foundations in artificial intelligence, machine learning, data analytics, computing, innovation, and professional ethics.

The department provides quality education through a combination of theoretical learning, programming practice, laboratory training, data analysis, industry interaction, internships, research, and project-based education.

Students gain comprehensive knowledge in artificial intelligence, machine learning, deep learning, data structures, statistics, data analytics, database systems, natural language processing, computer vision, big data, cloud computing, Internet of Things, and intelligent software systems.

Students are encouraged to participate in coding competitions, hackathons, technical symposiums, workshops, industrial visits, internships, research activities, data science competitions, project exhibitions, and entrepreneurship programmes.

Advanced AI & Data Science Laboratories
Industry-Oriented Technology Training
AI, ML & Data Analytics Research
Practical & Project-Based Learning
B.Tech. Artificial Intelligence and Data Science

About the Course

The Bachelor of Technology (B.Tech.) in Artificial Intelligence and Data Science is a four-year undergraduate programme designed to provide students with comprehensive knowledge in artificial intelligence, machine learning, data analytics, computational methods, and intelligent technology applications.

The programme covers programming, data structures, probability and statistics, database management, data visualization, machine learning, deep learning, natural language processing, computer vision, big data analytics, cloud computing, and artificial intelligence applications.

The curriculum combines classroom learning with programming laboratories, data analytics projects, technical workshops, internships, industrial training, mini projects, and major projects to develop strong analytical, technical, and professional capabilities.

Duration 4 Years
Programme B.Tech. Artificial Intelligence and Data Science
Affiliation Anna University, Chennai
Approval AICTE Approved
B.Tech. Artificial Intelligence and Data Science
OUR DIRECTION

Vision & Mission

Vision

To develop innovative, technically competent, and ethically responsible Artificial Intelligence and Data Science professionals capable of creating intelligent, data-driven, and sustainable solutions for global technological challenges.

Mission

  • Provide quality education in Artificial Intelligence and Data Science with strong theoretical and practical foundations.
  • Develop expertise in programming, statistics, machine learning, data analytics, AI, and emerging computing technologies.
  • Promote research, innovation, entrepreneurship, and industry collaboration in AI and data-driven solutions.
  • Nurture professional ethics, leadership, teamwork, communication skills, and lifelong learning.
CAREER PATHWAYS

Career Opportunities

Artificial Intelligence Engineer

Machine Learning Engineer

Data Scientist

Data Engineer

Data Analyst

NLP Engineer

Computer Vision Engineer

AI Cloud Engineer

Big Data Engineer

AI Solutions Engineer

AI Research Engineer

Technology Entrepreneur

PROGRAMME FRAMEWORK

Programme Educational Objectives

01

Technical Excellence

Develop graduates with strong foundations in artificial intelligence, data science, mathematics, statistics, programming, and computing technologies.

02

Professional Careers

Prepare graduates for successful careers in artificial intelligence, machine learning, data science, analytics, software development, research, and higher education.

03

Innovation & Leadership

Develop innovation, leadership, communication, teamwork, entrepreneurship, professional ethics, and lifelong learning capabilities.

04

Intelligent Solutions

Encourage graduates to develop responsible, intelligent, data-driven, and sustainable solutions using emerging technologies for societal and industrial needs.

LEARNING OUTCOMES

Programme Outcomes

01

Apply mathematics, statistics, science, and computing principles to solve Artificial Intelligence and Data Science problems.

02

Analyse, design, develop, and implement intelligent systems using appropriate algorithms and computational methods.

03

Collect, process, analyse, visualize, and interpret data using appropriate statistical and computational techniques.

04

Develop innovative, reliable, ethical, and sustainable AI and data-driven solutions for real-world challenges.

05

Apply modern programming languages, machine learning frameworks, data analytics platforms, cloud technologies, and AI tools effectively.

06

Demonstrate professional ethics, data privacy awareness, responsible AI practices, and social responsibility.

07

Work effectively in multidisciplinary teams and manage AI and data science projects.

08

Communicate technical findings, data insights, and intelligent solutions effectively through presentations, reports, and documentation.

09

Understand the social, ethical, economic, legal, and environmental implications of artificial intelligence and data-driven technologies.

10

Engage in lifelong learning and continuous professional development in rapidly evolving AI and data technologies.

11

Apply innovative and entrepreneurial thinking to develop AI-based products, services, and technology solutions.

12

Contribute to advancements in machine learning, deep learning, computer vision, natural language processing, big data, and intelligent systems.

HANDS-ON LEARNING

AI & Data Science Laboratories

AI & Machine Learning Laboratory

Data Science Laboratory

Deep Learning Laboratory

Cloud & Big Data Laboratory

Artificial Intelligence Laboratory Machine Learning Laboratory Data Science Laboratory Deep Learning Laboratory Data Analytics Laboratory Natural Language Processing Laboratory Computer Vision Laboratory Cloud & Big Data Laboratory
Artificial Intelligence and Data Science Research
Research & Innovation

Faculty & Research

The Department of Artificial Intelligence and Data Science is supported by qualified and experienced faculty members specializing in artificial intelligence, machine learning, deep learning, data analytics, computer vision, natural language processing, big data, cloud computing, and intelligent systems.

The department promotes research and innovation in artificial intelligence, machine learning, deep learning, computer vision, natural language processing, predictive analytics, big data, generative AI, IoT, intelligent automation, and responsible AI applications.

Artificial Intelligence
Machine Learning
Data Analytics
Computer Vision & NLP
STUDENT DEVELOPMENT

Student Activities

Coding Competitions

AI & ML Workshops

Data Science Workshops

Industrial Visits

Internship Programmes

AI Projects

Project Exhibitions

Hackathons & Innovation

Excellence & Recognition

Department Achievements

The Department of Artificial Intelligence and Data Science encourages students to demonstrate their programming, analytical, research, and problem-solving skills through academic and professional activities.

Students actively participate in coding competitions, hackathons, AI challenges, data science competitions, technical symposiums, project exhibitions, workshops, industrial training, research activities, and innovation programmes.

Through continuous academic development, practical experience, research, industry interaction, and skill development, the department strives to produce highly competent AI and Data Science professionals prepared for modern digital industries and emerging technology careers.

Artificial Intelligence and Data Science Achievement
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