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B.E. Computer Science and Engineering (AIML)
B.E. CSE Artificial Intelligence & Machine Learning
About the Programme
The B.E. Computer Science and Engineering (Artificial Intelligence and Machine Learning) programme at Maria College of Engineering and Technology is designed to develop highly skilled computing professionals with strong foundations in computer science, artificial intelligence, machine learning, programming, analytical thinking, and professional ethics.
The programme provides students with a strong foundation in computer science while offering specialised knowledge in artificial intelligence, machine learning, deep learning, data analytics, computer vision, natural language processing, and intelligent systems.
Students gain practical experience through programming laboratories, AI and ML projects, workshops, internships, industrial visits, hackathons, technical symposiums, research activities, and project-based learning.
The programme prepares students to design intelligent, innovative, secure, and sustainable technology solutions for modern industries and society.
About the Course
The Bachelor of Engineering (B.E.) in Computer Science and Engineering with a specialisation in Artificial Intelligence and Machine Learning is a four-year undergraduate programme that combines core computer science education with advanced AI and machine learning technologies.
The programme covers programming, data structures, algorithms, database management, operating systems, computer networks, software engineering, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, data analytics, intelligent systems, and emerging computing technologies.
The curriculum combines classroom learning with practical laboratory sessions, programming exercises, AI projects, internships, industrial training, technical workshops, mini projects, and major projects.
Vision & Mission
Vision
To develop technically competent, innovative, ethical, and socially responsible Computer Science professionals with advanced expertise in Artificial Intelligence and Machine Learning to address global technological challenges.
Mission
- Provide quality education in Computer Science with advanced knowledge in Artificial Intelligence and Machine Learning.
- Develop strong programming, analytical, computational, and problem-solving skills.
- Promote research, innovation, entrepreneurship, and industry collaboration in AI and ML technologies.
- Nurture professional ethics, leadership, teamwork, communication skills, and lifelong learning.
Career Opportunities
AI Engineer
Machine Learning Engineer
Software Engineer
AI Software Developer
Data Scientist
Data Analyst
Computer Vision Engineer
NLP Engineer
AI Cloud Engineer
AI Cybersecurity Engineer
AI Research Engineer
AI Technology Entrepreneur
Programme Educational Objectives
Technical Excellence
Develop graduates with strong foundations in Computer Science, Artificial Intelligence, Machine Learning, mathematics, statistics, and computational methods.
Professional Careers
Prepare graduates for successful careers in software development, artificial intelligence, machine learning, data science, research, and higher education.
Innovation & Leadership
Develop innovation, leadership, communication, teamwork, entrepreneurship, professional ethics, and lifelong learning capabilities.
Intelligent Solutions
Encourage graduates to design responsible, intelligent, secure, and sustainable AI-based solutions for industrial and societal challenges.
Programme Outcomes
Apply mathematics, science, computer science, and engineering principles to solve complex computing problems.
Analyse, design, and develop software and intelligent systems using appropriate algorithms and engineering practices.
Collect, process, analyse, and interpret data using appropriate statistical, computational, and machine learning techniques.
Develop innovative, reliable, ethical, secure, and sustainable AI and ML solutions for real-world problems.
Apply modern programming languages, machine learning frameworks, AI libraries, cloud platforms, and software development tools effectively.
Demonstrate professional ethics, responsible AI practices, data privacy awareness, security consciousness, and social responsibility.
Work effectively in multidisciplinary teams and manage software, AI, and machine learning projects.
Communicate technical concepts, research findings, data insights, and AI solutions effectively through reports, presentations, and documentation.
Understand the social, ethical, economic, legal, and environmental implications of artificial intelligence and machine learning.
Engage in lifelong learning and continuous professional development in rapidly evolving AI and computing technologies.
Apply innovative and entrepreneurial thinking to create AI-enabled products, services, and technology solutions.
Contribute to advancements in deep learning, computer vision, natural language processing, intelligent automation, and emerging AI technologies.
AI & Machine Learning Laboratories
Artificial Intelligence Laboratory
Machine Learning Laboratory
Deep Learning Laboratory
Computer Vision Laboratory
Faculty & Research
The programme is supported by qualified and experienced faculty members specializing in artificial intelligence, machine learning, deep learning, data science, computer vision, natural language processing, cloud computing, cybersecurity, and intelligent systems.
Research activities focus on machine learning, deep learning, generative AI, computer vision, natural language processing, predictive analytics, intelligent automation, robotics, big data, IoT, and responsible artificial intelligence applications.
Student Activities
Coding Competitions
AI & ML Workshops
Machine Learning Projects
Computer Vision Projects
Industrial Visits
Internship Programmes
AI Project Exhibitions
AI Hackathons & Innovation
Programme Achievements
The B.E. CSE (AIML) programme encourages students to demonstrate their programming, analytical, research, artificial intelligence, and machine learning skills through academic and professional activities.
Students actively participate in coding competitions, AI challenges, machine learning competitions, hackathons, 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 programme strives to produce highly competent AI and Machine Learning professionals prepared for modern technology industries.
