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Programme Overview

The School of Computer Science and Engineering at IILM University offers a comprehensive and NEP-compliant curriculum with customisable degrees, specialisations, and honours research options. Supported by experienced faculty, state-of-the-art labs, and global collaborations, the programme emphasises a hands-on, industry-focused approach. Students benefit from exposure to real-world scenarios, connections with professionals, and opportunities to innovate, ensuring they are well-prepared for success in the dynamic field of computer science.

This programme provides a robust foundation in computer science and engineering principles with a choice of five cutting-edge specialisations tailored to industry needs:

Specialisation

The specialisation in Artificial Intelligence offers a comprehensive curriculum designed to develop expertise in foundational and advanced AI technologies, including algorithms, data structures, and machine learning methodologies. Students explore the principles of intelligent system design and techniques for creating solutions to complex, real-world challenges such as autonomous decision-making, natural language understanding, image recognition, and predictive analytics. The programme strikes a balance between theory and application, enabling students to gain hands-on experience in implementing and optimising AI models using modern tools and frameworks. Through practical projects, industry collaborations, and research opportunities, students learn to address diverse challenges across domains such as healthcare, finance, robotics, and more. This holistic approach prepares them for a dynamic range of roles in the rapidly advancing AI sector, including AI engineer, data scientist, machine learning specialist, and AI researcher, with the ability to drive innovation and shape the future of technology.

The specialisation trains students to proficiently analyse, visualise, and interpret large and complex datasets using state-of-the-art tools and technologies. The curriculum is designed to provide in-depth knowledge of big data frameworks such as Hadoop and Spark, equipping students with the skills to handle large-scale data processing and distributed computing. Students learn predictive modelling techniques, enabling them to identify patterns and trends, and apply statistical and machine learning algorithms to generate actionable insights. They are also trained in data mining techniques to extract valuable information from structured and unstructured datasets, fostering data-driven decision-making across industries. With a focus on practical applications and real-world problem-solving, the programme prepares students to tackle challenges in diverse fields such as finance, healthcare, e-commerce, and logistics, making them indispensable assets in today’s data-centric world.

The specialisation in Cyber Security provides a comprehensive understanding of critical areas such as ethical hacking, digital forensics, and network defence, empowering students to address the growing challenges of securing digital environments. Students are trained to identify vulnerabilities, analyse threats, and implement robust security measures to safeguard systems and data against cyberattacks. The programme delves into techniques for ethical hacking to proactively uncover and mitigate risks, while digital forensics equips students to investigate cyber incidents and gather evidence for legal and organisational purposes. Network defence focuses on strategies to protect against unauthorised access and ensure the integrity of digital infrastructures. By combining theoretical knowledge with hands-on experience through simulated environments and real-world projects, students emerge as skilled professionals ready to combat sophisticated cyber threats, contributing to the safety and resilience of organisations in the digital era.

The specialisation in Cloud Computing equips students with in-depth, practical knowledge of cloud architectures, virtualisation technologies, and scalable cloud solutions, essential for meeting the dynamic needs of modern enterprises. Students learn to design, deploy, and manage cloud infrastructures using leading platforms such as Microsoft Azure, gaining expertise in areas like storage management, containerisation, and orchestration. The curriculum emphasises the integration of virtualisation techniques to optimise resource utilisation and ensure seamless scalability for cloud-based applications and services. Through hands-on projects, students develop the ability to configure and manage cloud environments, ensuring security, reliability, and cost-efficiency. The programme also covers advanced topics such as serverless computing, multi-cloud strategies, and disaster recovery planning, preparing graduates to take on roles as cloud architects, engineers, and consultants, driving digital transformation across industries.

The specialisation in Graphics and Gaming is designed to equip students with both technical expertise and creative skills in the design and development of 2D and 3D games and graphics systems. The curriculum covers essential areas such as game design principles, computer graphics, animation, and interactive media development. Students gain hands-on experience in creating immersive environments, character modelling, and physics-based simulations using industry-standard tools and engines like Unity and Unreal Engine. They also explore advanced topics such as rendering techniques, real-time graphics optimisation, and virtual/augmented reality integration. By combining artistic vision with programming proficiency, the programme prepares students for diverse roles in the rapidly growing graphics and gaming industry, including game developer, 3D artist, level designer, and AR/VR specialist, catering to the increasing demand for innovative and engaging digital experiences.

Why Choose IILM University?

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Over 30 years of Academic Excellence

Delivering quality education with a legacy of three decades.

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Global Network of over 16,000 Alumni

A strong, supportive alumni community spread across the globe.

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International Collaborations

Partnering with renowned global institutions for a holistic education experience.

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Job Opportunities with over 400 Companies

Connecting students with leading employers for rewarding careers.

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Centrally Located Green Campuses

Eco-friendly campuses situated in prime, accessible locations.

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Merit-based Scholarships

Recognising and rewarding academic excellence with financial support.

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Renowned Faculty from Academia and Industry

Learn from experts with rich academic and industry experience.

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Vibrant Campus Life

Experience an engaging and dynamic environment both inside and outside the classroom.

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Internationally Benchmarked Curriculum

A curriculum designed to meet global standards of education and practice.

Programme Outcomes

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Technical Proficiency
Develop strong foundations in computer science concepts like programming, software development, and systems design.

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Problem-Solving Skills
Apply critical thinking and analytical skills to design innovative solutions for real-world challenges.

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Industry-Ready Expertise
Gain hands-on experience through internships, projects, and exposure to cutting-edge technologies like AI, Cybersecurity, and Data Science.

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Adaptability to Emerging Trends
Stay ahead in the tech industry by mastering evolving tools, technologies, and industry practices.

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Ethical and Social Responsibility
Understand and uphold ethical practices while contributing responsibly to the IT industry and society.

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Effective Communication
Excel in teamwork, leadership, and professional communication for success in diverse roles.

Programme Educational Objectives

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  • Build Core Competencies in CSE

    Equip students with a solid foundation in computer science principles and engineering practices to address real-world technological challenges.

  • Specialise in Emerging Technologies

    Offer in-depth knowledge and skills in specialisations such as AI-ML, Data Science, Cyber Security, Cloud Computing, and Graphics and Gaming to prepare students for high-demand careers.

  • Foster Innovation and Problem-Solving Skills

    Encourage creativity and critical thinking to design innovative solutions for complex problems in computing and related fields.

  • Enhance Industry Readiness

    Provide practical exposure through internships, projects, and hands-on learning to ensure students are job-ready for global technology industries.

  • Candidates must have passed a 10+2 level examination or its equivalent from a recognised board/university.
  • A minimum of 50% marks (45% for SC/ST/Reserved candidates) is required in the subject combination of Physics and Mathematics (compulsory) and one optional subject (Chemistry/Biotechnology/Biology/Technical Vocational subject) taken together.
  • Candidates must pass without any grace marks.

  • NEP-Compliant Framework: Designed as per National Education Policy guidelines, ensuring academic excellence and holistic development.

  • Core Competency: Focus on essential skills in computer science to prepare students for industry demands.

  • Interdisciplinary Learning: Combines computer science with fields like AI, Cybersecurity, Blockchain, Cloud Computing, and IoT.

  • Flexible Curriculum: Choice-based learning allows students to select courses based on their interests and career goals.

  • Practical Learning: Includes projects, internships, and hands-on activities to develop critical thinking and problem-solving skills.

  • Research Opportunities: Encourages innovation and contributions to advancements in technology.

Industry Collaboration: Partnerships with leading companies provide real-world exposure and training.

Training The School focuses on holistic student development through technical training and soft skills enhancement. Expert guidance is provided for career planning, aptitude building, and placement preparation, including GDs, PIs, and mock interviews.

Internships Internships integrated into the NEP-compliant curriculum offer industry exposure, fostering professional growth, character development, and real-world readiness. Placements A dedicated

Placement Cell connects students with top career opportunities, ensuring they stay updated with industry trends and succeed in their professional journey.

Key Career Pathways

01

Software Developer/Engineer
Design, develop, and maintain software applications, excelling in front-end, back-end, or full-stack development.

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Web Developer
Create innovative websites and web applications, specialising in front-end, back-end, or cross-platform development.

03

Database Administrator (DBA)
Manage, optimise, and secure organisational databases, ensuring efficient data handling.

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Network Engineer/Administrator
Build and maintain robust networks with a focus on security, troubleshooting, and performance optimisation.

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Cybersecurity Analyst
Safeguard systems and networks by monitoring threats, implementing security measures, and mitigating risks.

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Data Scientist
Extract meaningful insights from complex datasets using machine learning and data analysis, driving business decisions.

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AI Engineer
Develop cutting-edge AI systems leveraging machine learning, computer vision, and natural language processing.

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Cloud Architect
Design and manage scalable cloud infrastructure on platforms like AWS, Microsoft Azure, and Google Cloud.

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Mobile App Developer
Develop innovative applications for iOS, Android, or cross-platform devices, enhancing user engagement.

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Game Developer
Build immersive and interactive gaming experiences using advanced graphics and AI technologies.

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Multidisciplinary Roles
Apply computer science expertise in fields like bioinformatics, finance, healthcare, and smart technologies.
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