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What Makes This Programme Different?

`This advanced programme delves into the frontier of Generative AI, empowering students to develop AI models capable of creating innovative content. With a focus on deep learning, generative adversarial networks, and applications in creative industries, this programme prepares students to lead the next wave of AI-driven innovation.

Pioneering Focus

Specialised curriculum exploring advanced topics like generative adversarial networks and transformer models.

Innovative Applications

Prepares students for careers in creative industries, AI research, and advanced AI-based technologies.

Research Opportunities

Emphasis on cutting-edge research in AI, enabling contributions to transformative innovations.

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

New Project (13)
  • 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

  • A Bachelor’s degree or equivalent qualification in the relevant field from a recognised university with a minimum aggregate of 55% marks.
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