B.Tech CSE (Artificial Intelligence & Machine Learning)

🏫 School Overview

Transformative education through experiential learning, innovation-driven projects, and interdisciplinary collaboration. The school develops technically skilled, socially responsible engineers.

🤖 Domain Focus

Advanced expertise in intelligent systems: Machine Learning, Explainable AI (XAI), AR-AI, and Robotics. Hands-on labs and industry-aligned projects.

📌 Specialization Tracks

🎯 Program Outcomes (PLOs) aligned with global engineering standards (PO1-PO11).

PEO	Objective
PEO1	Apply CS principles for real-world solutions.
PEO2	Professional skills & entrepreneurial drive.
PEO3	Lifelong learning & research advancement.
PEO4	Sustainable & socially responsible solutions.
PEO5	Leadership in multidisciplinary teams.

✨ Key Advantages: High Industry Demand, Future-Ready Tech Expertise, Innovation & Research, Global Career Prospects, Entrepreneurial Opportunities.

💼 Career Pathways: ML Engineer, AI Engineer, Data Scientist, MLOps, NLP Engineer, Computer Vision Engineer, Robotics Engineer, AI Research Scientist, Automation Engineer.

📚 Program Structure (2026) — AI-centric electives & capstone projects.

B.Tech CSE (Artificial Intelligence & Machine Learning)

🏫 School Overview

The Amity School of Engineering and Technology offers a transformative educational experience through experiential learning, academic flexibility, and strong industry integration. It emphasizes practical engagement, innovation, and interdisciplinary collaboration to prepare students for the evolving global technology landscape. With a dynamic academic environment, the school fosters creativity, analytical thinking, and problem-solving through design thinking, research exposure, and project-based learning, enabling students to develop innovative solutions and become future-ready engineering professionals.

🤖 Domain Overview

The B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) – LNT Programme is designed to build strong foundations in computer science while developing advanced expertise in intelligent systems and emerging AI technologies. This four-year programme integrates theoretical learning with practical, industry-driven training to prepare students for next-generation digital and AI-enabled systems.

Strengthened through collaboration with Larsen & Toubro (L&T), the programme features courses delivered by industry experts, offering real-world exposure to tools, practices, and applications. With a focus on applied learning, students gain hands-on experience in AI, machine learning, data engineering, and generative AI, developing both technical proficiency and professional skills for the global technology ecosystem.

📌 Admission Information

The department offers the following programme:

S.No	Program	Eligibility Criteria	Duration
1.	B.Tech Computer Science and Engineering (Artificial Intelligence and Machine Learning) – LNT Programme	Class X and XII aggregate 60% with Physics and Mathematics along with Chemistry / Computer Science / Electronics / Information Technology / Informatics Practices with minimum 60% in the qualifying subjects.	4 Years

⚙️ Industry-Integrated Specialization Modules

As part of the LNT Industry Integrated Programme, students undergo specialized training modules delivered by industry professionals to develop strong digital, analytical, and artificial intelligence competencies.

• IT World Essentials: Your Digital Entrypoint
  This module provides students with a comprehensive introduction to the digital ecosystem and modern IT environments.
• Critical Thinking, Design Thinking, Leadership and Teamwork
  Focuses on essential professional competencies including structured problem-solving and collaborative innovation.
• AI Principles and Techniques
  Core concepts of artificial intelligence: intelligent agents, knowledge representation, reasoning, and search algorithms.
• Python Programming for Data Handling and Preprocessing
  Data cleaning, feature engineering, and transformation using industry-relevant libraries.
• Data Engineering Foundations with SQL and NoSQL
  Structured/unstructured data management, data pipelines, and storage architectures.
• Machine Learning Algorithms and Model Building
  Supervised/unsupervised learning, model training, evaluation, and real-world application.
• Generative Artificial Intelligence (Gen-AI)
  Large language models, generative models, prompt engineering, and AI-powered content generation.
• Deep Learning and Natural Language Processing Basics
  Deep neural networks, language modeling, text analytics, and human language understanding.

🎯 Expected Learning Outcomes

Programme Learning Outcomes (PLOs)
At the end of the program, students will be able to:

PO1: Engineering Knowledge – Apply mathematics, science, computing fundamentals to complex engineering problems.
PO2: Problem Analysis – Identify, formulate, and analyze problems with sustainable development considerations.
PO3: Design/Development of Solutions – Design creative solutions considering public health, safety, net-zero carbon, culture, and environment.
PO4: Conduct Investigations – Use research-based knowledge, experiments, and data analysis for valid conclusions.
PO5: Engineering Tool Usage – Apply modern engineering & IT tools, recognizing their limitations.
PO6: The Engineer and The World – Analyze societal and environmental impacts with focus on sustainability.
PO7: Ethics – Apply ethical principles, human values, diversity, inclusion, and legal frameworks.
PO8: Individual and Collaborative Teamwork – Function effectively in diverse/multidisciplinary teams.
PO9: Communication – Communicate inclusively, write reports, make presentations across cultural/language differences.
PO10: Project Management and Finance – Apply engineering management and economic decision-making.
PO11: Life-Long Learning – Adapt to new technologies and think critically amidst technological change.

Programme Educational Objectives (PEOs)

PEO	Objective
PEO1	Graduates will apply AI/ML fundamentals to develop innovative computing solutions.
PEO2	Exhibit proficiency in AI/ML tools, technologies, and frameworks.
PEO3	Address real-world problems using AI/ML techniques responsibly.
PEO4	Collaborate effectively in multidisciplinary teams for AI-driven projects.
PEO5	Pursue lifelong learning and professional growth in AI/ML.

Program Specific Outcomes (PSOs)

PSO	Outcome
PSO 1	Develop AI/ML solutions using programming skills and industry-standard tools.
PSO 2	Apply AI/ML algorithms to solve real-world problems.
PSO 3	Design and deploy intelligent systems using data-driven approaches.

✨ Key Advantages of the Programme

• Industry Integrated Curriculum – Courses taught by L&T experts aligned with industry practices.
• Future-Oriented Artificial Intelligence Training – Machine learning, generative AI, data engineering, deep learning.
• Practical Industry Exposure – Real-world insights into large-scale enterprise AI applications.
• Enhanced Employability Skills – Leadership, teamwork, design thinking, critical problem-solving.
• Advanced Technology Expertise – Hands-on exposure to modern AI frameworks and tools.
• Global Career Opportunities – Careers in AI, data science, and intelligent automation.

💼 Career Prospects
Graduates of B.Tech CSE (AI & ML) – LNT Programme can pursue:

• Machine Learning Engineer
• AI Engineer
• Data Scientist
• Data Engineer
• MLOps Engineer
• Generative AI Engineer
• NLP Engineer
• Computer Vision Engineer
• AI Research Associate
• Software Engineer (AI/ML)
• Automation Engineer
• AI Solutions Architect

📚 Program Structure (2026) — AI-centric electives & capstone projects.

B.Tech CSE (Cyber Security)

🏫 School Overview

The Amity School of Engineering and Technology provides a dynamic, industry-oriented learning environment that blends academic excellence with practical exposure. It emphasizes experiential learning, interdisciplinary collaboration, and innovation to prepare students for the evolving technological landscape. Through a curriculum integrating modern engineering concepts with real-world applications, along with strong focus on research, project-based learning, and entrepreneurship, the school develops analytical, creative, and technically proficient professionals equipped to contribute to industry and society.

🔐 Domain Overview

The B.Tech in Computer Science and Engineering (Cyber Security) programme is designed to equip students with the skills to protect digital systems, networks, and data from evolving cyber threats. This four-year undergraduate programme combines core computer science foundations with specialized knowledge in areas such as network security, cryptography, ethical hacking, digital forensics, secure software development, and advanced threat detection.

The curriculum integrates theoretical learning with hands-on training through labs, security simulations, and research-driven projects. Students gain exposure to emerging domains including AI in security, blockchain security, quantum cryptography, and secure computing, preparing them to design robust cyber defence solutions and safeguard modern digital infrastructures.

📌 Admission Information

The department offers the following programme:

S.No	Program	Eligibility Criteria	Duration
1	B.Tech Computer Science and Engineering (Cyber Security)	Class X and XII aggregate 60% with Physics and Mathematics along with Chemistry / Computer Science / Electronics / Information Technology / Informatics Practices with minimum 60% in the qualifying subjects.	4 Years

⚙️ Specialization / Tracks

The programme offers the following specialization tracks that focus on advanced cyber security technologies and secure computing systems.

• Digital Forensics
  Focuses on investigating cybercrimes and analyzing digital evidence. Students learn to recover, preserve, and examine data from computers, mobile devices, and networks.
• AI Security
  Focuses on safeguarding AI systems from adversarial attacks, data manipulation, and model vulnerabilities, ensuring reliability of intelligent systems.
• Zero Trust Architecture and Secure Access Models
  Emphasizes "never trust, always verify" principles including identity management, secure authentication, network segmentation, and access control.
• Quantum Cryptography
  Focuses on quantum-based encryption techniques including quantum key distribution and secure communication protocols for the quantum computing era.
• Ethical Hacking and Threat Intelligence
  Focuses on penetration testing, vulnerability assessment, and security monitoring to protect organizational systems from cyber attacks.
• Blockchain Security
  Focuses on securing distributed ledger systems including blockchain architecture, smart contract security, and cryptographic protocols.
• Generative Adversarial Networks (GANs) Security
  Focuses on securing generative AI systems, detecting malicious AI-generated content, and preventing model exploitation.
• Secure Software Development
  Focuses on integrating security across the SDLC including secure coding, threat modeling, vulnerability testing, and application security.

🎯 Expected Learning Outcomes

Programme Learning Outcomes (PLOs)
At the end of the program, students will be able to:

PO1: Engineering Knowledge – Apply mathematics, science, computing fundamentals to complex engineering problems.
PO2: Problem Analysis – Identify, formulate, and analyze problems with sustainable development considerations.
PO3: Design/Development of Solutions – Design creative solutions considering public health, safety, net-zero carbon, culture, and environment.
PO4: Conduct Investigations – Use research-based knowledge, experiments, and data analysis for valid conclusions.
PO5: Engineering Tool Usage – Apply modern engineering & IT tools, recognizing their limitations.
PO6: The Engineer and The World – Analyze societal and environmental impacts with focus on sustainability.
PO7: Ethics – Apply ethical principles, human values, diversity, inclusion, and legal frameworks.
PO8: Individual and Collaborative Teamwork – Function effectively in diverse/multidisciplinary teams.
PO9: Communication – Communicate inclusively, write reports, make presentations across cultural/language differences.
PO10: Project Management and Finance – Apply engineering management and economic decision-making.
PO11: Life-Long Learning – Adapt to new technologies and think critically amidst technological change.

Programme Educational Objectives (PEOs)

PEO	Objective
PEO1	Graduates will be able to apply cyber security fundamentals to protect systems and data.
PEO2	Graduates will be able to identify and mitigate security threats and vulnerabilities.
PEO3	Graduates will be able to design and implement secure systems and networks.
PEO4	Graduates will be able to ensure compliance with security policies and regulations.
PEO5	Graduates will be able to pursue lifelong learning and professional growth in cyber security.

Program Specific Outcomes (PSOs)

PSO	Outcome
PSO 1	Ability to implement security measures to protect systems and data.
PSO 2	Ability to analyze and respond to cyber security threats and incidents.
PSO 3	Ability to design secure systems and networks using best practices.

✨ Key Advantages of the Programme

• Growing Global Demand for Cyber Security Professionals – Organizations seek to protect digital infrastructure from sophisticated threats.
• Expertise in Advanced Security Technologies – Exposure to blockchain security, AI security, digital forensics, and quantum cryptography.
• Hands-on Cyber Security Training – Practical laboratory training, simulations, and real-world security analysis.
• Industry-Relevant Skill Development – Vulnerability assessment, penetration testing, secure system design, and threat intelligence.
• Global Career Opportunities – Multinational corporations, financial institutions, government agencies, and tech companies.
• Research and Innovation Opportunities – Cyber security research projects, ethical hacking competitions, and security innovation initiatives.
• Entrepreneurial Opportunities – Establish consulting firms, security auditing services, or tech start-ups.
• Contribution to National Security – Play a critical role in protecting national digital infrastructure.

💼 Career Prospects
Graduates of B.Tech CSE (Cyber Security) can pursue diverse career opportunities in the rapidly expanding cyber security industry.

• Cyber Security Analyst
• Information Security Analyst
• Ethical Hacker / Penetration Tester
• Digital Forensics Analyst
• Network Security Engineer
• Security Operations Center (SOC) Analyst
• Security Consultant
• Cryptography Specialist
• Application Security Engineer
• Cloud Security Engineer
• Incident Response Analyst
• Malware Analyst
• Risk and Compliance Analyst

📚 Program Structure (2026) — Security-centric electives & capstone projects.

B.Tech CSE (Data Science)

🏫 School Overview

The Amity School of Engineering and Technology offers a dynamic and transformative learning environment that blends academic excellence with practical exposure. It emphasizes experiential learning, interdisciplinary collaboration, and industry-oriented pedagogy to prepare students for the evolving global technology landscape. With a focus on innovation, analytical thinking, and problem-solving, the curriculum integrates design thinking, research, and project-based learning, enabling students to develop robust technical skills and contribute effectively to technological and societal advancement.

📊 Domain Overview

The B.Tech in Computer Science and Engineering (Data Science) programme is designed to build strong foundations in computer science while developing advanced skills in data analytics, computation, and data-driven decision-making. This four-year programme integrates theoretical learning with practical training, labs, and research to enable students to analyze complex datasets, develop predictive models, and design intelligent systems.

The curriculum emphasizes emerging areas such as cloud-based data processing, machine learning, deep learning, natural language processing, and advanced analytics. Through industry-oriented projects, specialized tracks, and modern lab infrastructure, students gain the expertise to manage large-scale data and build impactful data-driven solutions.

📌 Specialization Tracks

📖 Program Learning Outcomes (PLOs)

PO1: Engineering Knowledge · PO2: Problem Analysis · PO3: Design/Development · PO4: Investigation · PO5: Tool Usage · PO6: Engineer & The World · PO7: Ethics · PO8: Teamwork · PO9: Communication · PO10: Project Management · PO11: Lifelong Learning.

PEOs	Description
PEO1	Apply data science fundamentals to analyze and interpret complex data.
PEO2	Develop data-driven solutions for real-world problems.
PEO3	Exhibit proficiency in data science tools, technologies, and frameworks.
PEO4	Communicate insights and recommendations effectively to stakeholders.
PEO5	Pursue lifelong learning and professional growth in data science.

Program Specific Outcomes (PSOs)

PSO	Outcome
PSO 1	Ability to apply data science techniques to extract insights from complex data.
PSO 2	Ability to develop predictive models and data-driven solutions.
PSO 3	Ability to visualize and communicate data insights effectively.

🏅 Key Advantages

• High Industry Demand for Data Professionals – Growing reliance on data-driven decision-making across industries.
• Expertise in Emerging Data Technologies – Big data analytics, machine learning systems, deep learning, and cloud-based data platforms.
• Industry-Relevant Skill Development – Practical learning through projects, data analysis assignments, and industry-aligned training.
• Global Career Opportunities – Valued by multinational corporations, technology companies, research institutions, and consulting organizations.
• Advanced Analytical and Computational Skills – Statistical modelling, algorithmic problem solving, and large-scale data analysis.
• Innovation and Research Opportunities – Research projects, analytics competitions, and interdisciplinary data-driven initiatives.
• Entrepreneurial Opportunities – Develop innovative data-driven solutions and technology start-ups.
• Flexible Career Opportunities – Work across diverse sectors including finance, healthcare, e-commerce, technology, and public policy.

🚀 Career Prospects

📅 Program Structure (2026) — Updated curriculum with industry integration.

BCA / BCA (Hons. / Hons. with Research)

🏫 School Overview

The Amity School of Engineering and Technology delivers high-quality education by integrating academic excellence with practical learning and industry exposure. It fosters an innovation-driven environment that develops analytical thinking, creativity, and technical competence through modern labs, project-based learning, and interdisciplinary collaboration. With a strong focus on emerging technologies, research, and real-world applications, the school equips students with solid technical foundations and professional skills to thrive in the global technology landscape and contribute to innovative computing solutions.

🌐 Domain Overview

The Bachelor of Computer Applications (BCA) and BCA (Hons. / Hons. with Research) programmes provide a strong foundation in computer science, software development, and modern IT. The curriculum integrates academic learning with practical implementation, focusing on programming, software engineering, databases, web technologies, and emerging platforms, with hands-on experience through labs and projects.

The BCA (Hons. / Hons. with Research) programme enhances academic depth through advanced coursework and research-oriented learning. With specialized tracks in areas such as artificial intelligence, full stack development, cyber security, and game technology, the programmes equip students with industry-relevant skills to build innovative digital solutions.

📌 Specialization Tracks (Futuristic Value)

📖 Program Learning Outcomes (PLOs)

PLO 1: Fundamental Knowledge of the Discipline – Apply core concepts and foundational knowledge to solve real-world problems effectively.
PLO 2: Creativity – Demonstrate innovation and creative thinking in designing solutions and developing new ideas.
PLO 3: Intellectual Rigour – Exhibit analytical depth, critical thinking, and a systematic approach to problem-solving.
PLO 4: Problem Solving and Design – Identify, analyze, and design efficient solutions for complex computing problems.
PLO 5: Ethical Practices – Adhere to professional ethics, integrity, and responsible conduct in all contexts.
PLO 6: Individual and Teamwork – Work effectively independently and collaboratively in multidisciplinary teams.
PLO 7: Project Management and Finance – Apply project management principles and basic financial knowledge.
PLO 8: Lifelong Learning – Engage in continuous learning to adapt to evolving technologies.
PLO 9: Communication and Social Skills – Communicate effectively in diverse environments.
PLO 10: Self-Management – Exhibit self-discipline, time management, and adaptability.

PEOs	Description
PEO1	Apply foundational computer applications and programming principles to design innovative solutions for real-world problems.
PEO2	Exhibit professional skills, entrepreneurial mindset, and adaptability to drive technological innovation.
PEO3	Pursue lifelong learning and professional growth in computer applications and emerging technologies.
PEO4	Design and implement computing solutions addressing societal challenges with sustainability and security.
PEO5	Demonstrate collaboration, communication, and leadership skills in multidisciplinary teams.

🎯 Program Specific Outcomes (PSOs)

PSO 1: Ability to develop web, mobile, and cross-platform applications using SDLC and programming skills.
PSO 2: Ability to implement information and cyber security solutions using advanced tools and techniques.
PSO 3: Ability to design and deploy scalable data-driven solutions using emerging technologies.

🏅 Key Advantages

• Comprehensive Foundation in Computing – Strong conceptual knowledge in programming, software development, and database systems.
• Specialized Technology Tracks – Expertise in AI, web development, cyber security, and game technology.
• Practical Skill Development – Hands-on programming exercises, lab experiments, and project-based learning.
• Industry-Relevant Technology Exposure – Modern frameworks, tools, and technologies used in the software industry.
• Research Opportunities in Honours Programme – Advanced academic study and research-oriented learning.
• Strong Software Development Skills – Competencies in design, development, and problem-solving.
• Global Career Opportunities – Careers in software development, IT services, digital media, and emerging sectors.
• Entrepreneurial and Innovation Opportunities – Develop innovative solutions and explore tech entrepreneurship.

🚀 Career Prospects

📅 Program Structure (2026) — Updated curriculum with industry integration and research pathways for Honours programmes.

B.Sc IT / B.Sc IT (Hons. / Hons. with Research)

🏫 School Overview

The Amity School of Engineering and Technology provides a progressive academic environment that blends strong theoretical foundations with practical technological skills. It promotes innovation, interdisciplinary learning, and experiential education through modern labs, projects, and collaborative work, fostering analytical thinking and problem-solving. With a focus on research, industry-oriented learning, and emerging technologies, the school prepares students to become skilled, adaptable professionals ready to contribute to the global IT ecosystem.

💻 Domain Overview

The Bachelor of Science in Information Technology (B.Sc IT) and B.Sc IT (Hons. / Hons. with Research) programmes provide a strong foundation in IT, software systems, and modern computing platforms. The curriculum integrates conceptual learning with hands-on practice in programming, databases, web technologies, networking, and real-world applications, enabling students to develop practical technical competencies.

The Hons. / Hons. with Research track enhances academic depth through advanced coursework and research opportunities. With specializations in areas such as AI & ML, full stack development, and cyber security, the programmes equip students with industry-relevant skills to design, develop, and secure modern digital systems.

📌 Admission Information

The department offers the following programmes:

S.No	Program	Eligibility Criteria	Duration
1.	Bachelor of Science in Information Technology (B.Sc IT)	Class XII with a minimum aggregate of 50% with Mathematics / Computer Science / Information Technology / Informatics Practices as one of the subjects.	3 Years
2.	Bachelor of Science in Information Technology (Hons. / Hons. with Research)	Class XII with a minimum aggregate of 50% with Mathematics / Computer Science / Information Technology / Informatics Practices as one of the subjects.	4 Years

📌 Specialization / Tracks

The programme offers the following specialization tracks that focus on emerging information technology domains.

🎯 Expected Learning Outcomes

Programme Learning Outcomes (PLOs)
At the end of the program, students will be able to:

PLO 1: Fundamental Knowledge of the Discipline – Demonstrate a strong foundation in core disciplinary concepts.
PLO 2: Creativity – Apply innovative thinking to develop novel solutions.
PLO 3: Intellectual Rigour – Exhibit critical analysis and logical reasoning.
PLO 4: Problem Solving and Design – Analyze complex problems and design sustainable solutions.
PLO 5: Ethical Practices – Uphold ethical values and professional responsibility.
PLO 6: Individual and Teamwork – Function effectively as an individual and team member.
PLO 7: Project Management and Finance – Utilize project management tools and financial awareness.
PLO 8: Lifelong Learning – Pursue continuous learning for emerging technologies.
PLO 9: Communication and Social Skills – Demonstrate effective communication skills.
PLO 10: Self-Management – Manage time, resources, and personal growth effectively.

Programme Educational Objectives (PEOs)

PEO	Objective
PEO1	Graduates will be able to apply foundational IT principles to design and develop innovative solutions for real-world problems.
PEO2	Graduates will be able to exhibit professional skills, adaptability, and entrepreneurial mindset to drive technological innovation.
PEO3	Graduates will be able to pursue lifelong learning and professional growth in IT and emerging technologies.
PEO4	Graduates will be able to design and implement IT solutions addressing societal challenges with sustainability and security.
PEO5	Graduates will be able to demonstrate collaboration, communication, and leadership skills in multidisciplinary teams.

Program Specific Outcomes (PSOs)

PSO 1: Ability to develop web, mobile, and cross-platform applications using SDLC and programming skills.
PSO 2: Ability to implement information and cyber security solutions using advanced tools and techniques.
PSO 3: Ability to design and deploy scalable data-driven solutions using emerging technologies for real-world problems.

✨ Key Advantages of the Programme

• Strong Foundation in Information Technology – Comprehensive knowledge in programming, databases, networking, and web technologies.
• Specialized Technology Tracks – Expertise in AI, web development, and cyber security.
• Practical Skill Development – Hands-on laboratory work, software projects, and real-world applications.
• Industry-Relevant Technical Exposure – Modern development tools, frameworks, and IT systems.
• Research Opportunities in Honours Programme – Advanced academic study and research in emerging domains.
• Enhanced Employability Skills – Problem-solving, programming, and analytical capabilities.
• Global Career Opportunities – Careers in software development, IT services, and emerging sectors.
• Entrepreneurial and Innovation Opportunities – Develop innovative software solutions and tech start-ups.

💼 Career Prospects
Graduates of the B.Sc IT and B.Sc IT (Hons. / Hons. with Research) programmes can pursue diverse career opportunities in the information technology sector.

📚 Program Structure (2026) — Industry-aligned curriculum with capstone projects, hands-on labs, and research pathways for Honours programmes.

B.Sc (Animation and Game Design)

🏫 School Overview

The Amity School of Engineering and Technology fosters a dynamic academic environment blending creativity, technology, and innovation through experiential learning, interdisciplinary collaboration, and industry-focused education. It prepares students for the fast-growing digital media and entertainment sectors by emphasizing studio-based learning, digital labs, project work, visual storytelling, design thinking, and advanced tools. Through hands-on training, creative exploration, and exposure to emerging technologies, the school nurtures skilled professionals ready to excel in animation, gaming, multimedia production, and digital content creation, while promoting innovation, artistic growth, and adaptability to global creative tech trends.

🎮 Domain Overview

The B.Sc in Animation and Game Design (B.Sc AGD) programme equips students with comprehensive skills in digital animation, interactive game development, and visual media production. It blends artistic creativity with technical expertise to prepare graduates for careers in entertainment, gaming, advertising, education, and multimedia industries, where they design immersive digital experiences.

The curriculum integrates animation techniques, game design methodologies, visual storytelling, and modern production tools through hands-on studio training, digital projects, and collaborative assignments. Students explore character design, motion graphics, environment creation, interactive narratives, and game mechanics, while specialized tracks build deep expertise for creating engaging visual content and interactive applications in the digital entertainment sector.

📌 Specialization Tracks (Futuristic Value)

📖 Program Learning Outcomes (PLOs)

PLO 1: Fundamental Knowledge of the Discipline – Demonstrate a strong foundation in core disciplinary concepts and their practical applications.
PLO 2: Creativity – Apply innovative thinking to develop novel solutions and approaches in diverse contexts.
PLO 3: Intellectual Rigour – Exhibit critical analysis, logical reasoning, and depth of understanding in problem-solving.
PLO 4: Problem Solving and Design – Analyze complex problems and design effective, efficient, and sustainable solutions.
PLO 5: Ethical Practices – Uphold ethical values and professional responsibility in all academic and professional activities.
PLO 6: Individual and Teamwork – Function effectively as an individual as well as a collaborative team member in varied environments.
PLO 7: Project Management and Finance – Utilize project management tools and financial awareness to plan, execute, and manage tasks successfully.
PLO 8: Lifelong Learning – Pursue continuous learning to stay relevant with emerging technologies and industry trends.
PLO 9: Communication and Social Skills – Demonstrate effective communication and interpersonal skills across professional and social settings.
PLO 10: Self-Management – Manage time, resources, and personal growth effectively to achieve academic and career goals.

PEOs	Description
PEO1	Graduates will be able to apply artistic and technical skills to create engaging animations and games.
PEO2	Graduates will be able to design and develop interactive media for various industries.
PEO3	Graduates will be able to collaborate effectively in multidisciplinary teams.
PEO4	Graduates will be able to stay updated with industry trends and technologies.
PEO5	Graduates will be able to pursue lifelong learning and professional growth in animation and game design.

🎯 Program Specific Outcomes (PSOs)

PSO 1: Ability to create visually appealing animations and game assets.
PSO 2: Ability to design engaging game mechanics and interactive experiences.
PSO 3: Ability to apply industry-standard tools and technologies for animation and game development.

🏅 Key Advantages

• Creative and Technical Skill Development – The programme integrates artistic creativity with digital technology skills required for animation and game development.
• Industry-Relevant Software and Tools – Students gain hands-on experience using modern animation software, game engines, and visual effects production tools.
• Project-Based Creative Learning – The curriculum emphasizes studio projects, portfolio development, and practical digital media production.
• Growing Digital Entertainment Industry Opportunities – Animation, gaming, and visual effects industries are expanding rapidly worldwide, creating strong demand for skilled professionals.
• Opportunities in Digital Media and Interactive Content – Students learn to design content for films, television, advertising, gaming platforms, and digital media applications.
• Research Opportunities in Honours Programme – The B.Sc (AGD) programme enables students to explore advanced creative research and digital media innovation.
• Entrepreneurial Opportunities in Creative Media – Graduates may establish digital media studios, animation production houses, or independent game development ventures.
• Global Career Scope in Creative Technology – The programme prepares students for careers in international animation studios, gaming companies, and digital media organizations.

🚀 Career Prospects

📅 Program Structure (2026) — Industry-aligned curriculum with studio projects, portfolio development, and hands-on digital media production.

M.Tech CSE (AIML)

🏫 School Overview

The Amity School of Engineering and Technology offers a research-driven, interdisciplinary academic ecosystem that integrates advanced computing paradigms like AI and data analytics with industry-oriented experiential learning. Through state-of-the-art laboratories and a curriculum focused on innovation, the school fosters analytical thinking and technological creativity, equipping students to solve real-world challenges and lead in global technological advancement.

🤖 Domain Overview

The M.Tech in Computer Science and Engineering (AI/ML) is an advanced postgraduate program focused on cultivating research expertise in intelligent computing and next-generation AI technologies. The curriculum bridges deep theoretical foundations in machine learning algorithms and cognitive systems with practical applications in modern technology ecosystems.

By integrating laboratory experimentation with interdisciplinary research, the program trains students to design and deploy scalable, data-driven solutions for complex global sectors like healthcare, finance, and smart infrastructure. Graduates emerge as high-level AI specialists and innovators equipped to lead the rapidly evolving landscape of advanced computational intelligence.

📌 Admission Information

The department offers the following programme:

S.No	Program	Eligibility Criteria	Duration
1	Master of Technology in Computer Science and Engineering (Artificial Intelligence and Machine Learning)	B.Tech / B.E. in Computer Science and Engineering, Information Technology, Artificial Intelligence, Data Science, Electronics and Communication Engineering, or related disciplines with a minimum aggregate of 60% from a recognized university.	2 Years

⚙️ Specialization / Tracks

The programme offers advanced specialization tracks focusing on emerging research domains in artificial intelligence, intelligent systems, and advanced computing technologies.

🎯 Expected Learning Outcomes

Programme Learning Outcomes (PLOs)
At the end of the program, students will be able to:

PO1: Engineering Knowledge – Apply mathematics, science, computing fundamentals to complex engineering problems.
PO2: Problem Analysis – Identify, formulate, and analyze problems with sustainable development considerations.
PO3: Design/Development of Solutions – Design creative solutions considering public health, safety, net-zero carbon, culture, and environment.
PO4: Conduct Investigations – Use research-based knowledge, experiments, and data analysis for valid conclusions.
PO5: Engineering Tool Usage – Apply modern engineering & IT tools, recognizing their limitations.
PO6: The Engineer and The World – Analyze societal and environmental impacts with focus on sustainability.
PO7: Ethics – Apply ethical principles, human values, diversity, inclusion, and legal frameworks.
PO8: Individual and Collaborative Teamwork – Function effectively in diverse/multidisciplinary teams.
PO9: Communication – Communicate inclusively, write reports, make presentations across cultural/language differences.
PO10: Project Management and Finance – Apply engineering management and economic decision-making.
PO11: Life-Long Learning – Adapt to new technologies and think critically amidst technological change.

Programme Educational Objectives (PEOs)

PEO	Objective
PEO1	Graduates will be able to apply advanced AI and ML techniques to solve complex computing problems.
PEO2	Graduates will be able to develop innovative AI-driven solutions for real-world applications and research.
PEO3	Graduates will be able to exhibit expertise in AI and ML tools, technologies, and frameworks.
PEO4	Graduates will be able to address societal challenges using AI and ML solutions responsibly.
PEO5	Graduates will be able to lead AI and ML projects, collaborating effectively in multidisciplinary teams.

Program Specific Outcomes (PSOs)

PSO 1: Ability to apply advanced AI and ML algorithms to solve complex problems.
PSO 2: Ability to develop and deploy AI-driven solutions for real-world applications.
PSO 3: Ability to design and optimize ML models for performance and scalability.

✨ Key Advantages of the Programme

• Advanced Research-Oriented Curriculum – The programme emphasizes research-driven learning in artificial intelligence, machine learning, and advanced computational technologies.
• Exposure to Emerging AI Technologies – Students gain expertise in cutting-edge domains including intelligent agents, cognitive computing, quantum computing, and machine perception.
• Interdisciplinary Research Opportunities – The curriculum supports interdisciplinary collaboration across domains such as healthcare technology, smart systems, robotics, and digital intelligence.
• State-of-the-Art Research Facilities – Students gain access to advanced computing laboratories, AI development platforms, and data analytics infrastructures.
• Industry and Research Collaboration – The programme encourages collaboration with industry partners, research organizations, and technology innovators.
• Strong Foundation for Doctoral Research – The programme provides strong academic and research preparation for students intending to pursue Ph.D. programmes in advanced computing disciplines.
• Global Career Opportunities – Graduates are equipped to work in international technology companies, AI research laboratories, and innovation-driven organizations.

💼 Career Prospects
Graduates of M.Tech CSE (Artificial Intelligence and Machine Learning) can pursue diverse career opportunities in advanced technology sectors and research domains.

📚 Program Structure (2026) — Research-intensive curriculum with advanced AI/ML electives and capstone research projects.

MCA

🏫 School Overview

The Amity School of Engineering and Technology offers a dynamic, industry-oriented ecosystem that integrates technological innovation with experiential learning and interdisciplinary collaboration. By emphasizing project-based pedagogy and research-driven problem-solving, the school equips students with advanced computational competencies and mastery over emerging digital frameworks. This rigorous academic environment fosters analytical excellence, preparing highly skilled professionals to lead and contribute effectively within the rapidly evolving global information technology landscape.

💻 Domain Overview

The Master of Computer Applications (MCA) is an advanced program designed to bridge core computer science theory with practical expertise in modern software development and intelligent information systems. The curriculum integrates high-level programming with emerging domains such as cloud computing, data analytics, and AI, ensuring students can build scalable and efficient solutions for complex technological challenges.

Through a pedagogy of technology-driven coursework and hands-on laboratory projects, the program emphasizes innovation and real-world problem-solving. It cultivates highly competent professionals equipped to design and manage sophisticated IT infrastructures, preparing them to lead and thrive within the rapidly evolving global digital landscape.

📌 Domain Electives

📖 Program Learning Outcomes (PLOs)

PLO 1: Fundamental Knowledge of the Discipline – Demonstrate strong foundational knowledge of core concepts and their real-world applications.
PLO 2: Creativity – Exhibit innovation and creative thinking in developing effective solutions.
PLO 3: Intellectual Rigour – Apply critical thinking, analytical skills, and logical reasoning to complex problems.
PLO 4: Problem Solving and Design – Identify, analyze, and design efficient solutions for multidisciplinary challenges.
PLO 5: Ethical Practices – Practice professional ethics, integrity, and social responsibility in all endeavors.
PLO 6: Individual and Teamwork – Work effectively both independently and collaboratively in diverse team settings.
PLO 7: Project Management and Finance – Apply project management principles and financial awareness to execute tasks successfully.
PLO 8: Lifelong Learning – Engage in continuous learning to adapt to evolving technologies and environments.
PLO 9: Communication and Social Skills – Communicate effectively and demonstrate strong interpersonal and social skills.
PLO 10: Self-Management – Exhibit self-discipline, time management, and adaptability in achieving goals.
PLO 11: Leadership – Demonstrate leadership qualities by guiding teams, making decisions, and inspiring others.

📅 Program Structure (2026) — Industry-aligned curriculum with domain electives, capstone projects, and hands-on laboratory training.