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.
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.
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.
Develop graduates with strong foundations in artificial intelligence, data science, mathematics, statistics, programming, and computing technologies.
Prepare graduates for successful careers in artificial intelligence, machine learning, data science, analytics, software development, research, and higher education.
Develop innovation, leadership, communication, teamwork, entrepreneurship, professional ethics, and lifelong learning capabilities.
Encourage graduates to develop responsible, intelligent, data-driven, and sustainable solutions using emerging technologies for societal and industrial needs.
Apply mathematics, statistics, science, and computing principles to solve Artificial Intelligence and Data Science problems.
Analyse, design, develop, and implement intelligent systems using appropriate algorithms and computational methods.
Collect, process, analyse, visualize, and interpret data using appropriate statistical and computational techniques.
Develop innovative, reliable, ethical, and sustainable AI and data-driven solutions for real-world challenges.
Apply modern programming languages, machine learning frameworks, data analytics platforms, cloud technologies, and AI tools effectively.
Demonstrate professional ethics, data privacy awareness, responsible AI practices, and social responsibility.
Work effectively in multidisciplinary teams and manage AI and data science projects.
Communicate technical findings, data insights, and intelligent solutions effectively through presentations, reports, and documentation.
Understand the social, ethical, economic, legal, and environmental implications of artificial intelligence and data-driven technologies.
Engage in lifelong learning and continuous professional development in rapidly evolving AI and data technologies.
Apply innovative and entrepreneurial thinking to develop AI-based products, services, and technology solutions.
Contribute to advancements in machine learning, deep learning, computer vision, natural language processing, big data, and intelligent systems.
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.
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.