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Specialisation

This specialisation offers a comprehensive understanding of artificial intelligence and machine learning, equipping students with the skills to design and implement intelligent systems capable of automating processes and making data-driven decisions. Students will explore neural networks, natural language processing (NLP), and computer vision to tackle real-world challenges in various industries.

Focused on one of the most transformative technologies of our time, this programme prepares students to build, deploy, and manage cloud-based systems. Students will learn about cloud architecture, virtualisation, and serverless computing, gaining expertise in creating scalable solutions for digital enterprises and enhancing operational efficiency.

This specialisation delves into the dynamic world of cybersecurity and digital forensics, providing students with the skills to safeguard systems, detect and mitigate cyber threats, and conduct thorough digital investigations. The programme addresses the rising demand for professionals in ethical hacking, secure programming, and forensic analysis.

Aimed at equipping students with the ability to design, build, and maintain efficient data pipelines, this specialisation ensures proficiency in managing large-scale data systems. Students will gain hands-on experience with big data technologies, database management, and ETL processes, enabling them to optimise data flow across organisations.

This programme focuses on equipping students with advanced skills in data analysis, machine learning, and data visualisation. Students will learn to extract actionable insights from complex datasets and apply them to solve business problems, making them highly sought after in industries such as finance, healthcare, and technology.

This specialisation offers an in-depth understanding of front-end and back-end technologies, enabling students to build complete web and mobile applications from scratch. Students will master programming languages, frameworks, and tools, ensuring they are ready to create scalable and robust digital solutions.

This forward-thinking programme explores augmented reality (AR), virtual reality (VR), and mixed reality (MR), preparing students for careers in creating interactive and immersive digital experiences. Students will develop skills to innovate in industries such as gaming, education, healthcare, and entertainment.
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What Makes This Programme Different?

This programme offers students the opportunity to specialise in transformative fields such as AI-ML, Cloud Computing, Cyber Security, and more. With a NEP-compliant curriculum, state-of-the-art labs, and industry-aligned projects, it provides a robust platform for innovation and hands-on learning, preparing students to tackle real-world challenges and lead in emerging technologies.

Customised Learning Paths

Tailored specialisations like AI-ML, Cloud Computing, and Cyber Security align with industry trends and career goals.

State-of-the-Art Infrastructure

Access to advanced labs, such as Machine Learning, Data Science, and Cloud Computing, fosters experiential learning.

Industry Integration

Collaborations with industry leaders and internships ensure practical exposure and career readiness.

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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Engineering knowledge

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialisation to solve complex engineering problems.

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Problem analysis

Identify, formulate, review research literature, and analyse complex engineering problems, reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

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Design/development of solutions

Design solutions for complex engineering problems and system components or processes that meet specified needs, with appropriate consideration for public health and safety, and cultural, societal, and environmental factors.

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Conduct investigations of complex problems

Use research-based knowledge and research methods, including the design of experiments, analysis and interpretation of data, and synthesis of information, to provide valid conclusions.

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Modern tool usage

Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering activities, with an understanding of their limitations.

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The engineer and society

Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues, and the consequent responsibilities relevant to professional engineering practice.

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Environment and sustainability

Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate knowledge of, and the need for, sustainable development.

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Ethics

Apply ethical principles and commit to professional ethics, responsibilities, and norms of engineering practice.

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Individual and team work

Function effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings.

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Communication

Communicate effectively on complex engineering activities with the engineering community and with society at large, including comprehending and writing effective reports and design documentation, delivering presentations, and giving and receiving clear instructions.

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Project management and finance

Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s own work, as a member or leader in a team, to manage projects in multidisciplinary environments.

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Life-long learning

Recognise the need for, and have the preparation and ability to engage in, independent and life-long learning in the broadest context of technological change.

Programme Educational Objectives

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  • PEO1

    Develop the ability to formulate, analyse, and resolve computational challenges by leveraging a strong grasp of mathematical, scientific, and engineering principles, alongside contemporary computing methodologies.

  • PEO2

    Acquire expertise in utilising problem-solving techniques, algorithm design, and emerging technologies such as cloud computing, artificial intelligence, data science, and security for evaluating requirements, formulating technical specifications, and crafting solutions for diverse computing challenges.

  • PEO3

    Demonstrate technical proficiency in computer science, foster collaborative learning, and cultivate teamwork through interdisciplinary projects and professional engagements.

  • PEO4

    Equip graduates with a robust understanding, technical competence, and soft skills necessary to ethically address societal needs and drive sustainable progress in emerging computing domains through continuous learning and adaptation.

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SEAL YOUR SPOT FOR SUCCESS

ADMISSION OPEN FOR 2024 INTAKE

Academic Qualifications

  • Successful completion of 10+2 or an equivalent examination from a recognised board with a minimum aggregate of 55% marks.
  • Specific subject requirements may vary depending on the programme (e.g., Mathematics or Science for technical courses).
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