{"id":2544,"date":"2026-01-19T14:01:45","date_gmt":"2026-01-19T14:01:45","guid":{"rendered":"https:\/\/iilm.edu\/?page_id=1259"},"modified":"2026-07-31T08:52:54","modified_gmt":"2026-07-31T08:52:54","slug":"m-tech-in-cse-with-specialisation-in-generative-ai","status":"publish","type":"page","link":"https:\/\/iilm.edu\/gurugram\/m-tech-in-cse-with-specialisation-in-generative-ai\/","title":{"rendered":"M Tech in CSE with Specialisation in Generative AI"},"content":{"rendered":"
\n

Specialisations<\/h2>\n<\/div>\n
\n\n\n\n\n\n\n\n\n\n\n
Major Subjects<\/th>\nDescription<\/th>\nCareer Opportunities<\/th>\n<\/tr>\n<\/thead>\n
Optimization Algorithms<\/td>\nThis subject focuses on mathematical and computational techniques used to find optimal solutions for complex problems. Students learn optimisation methods used in machine learning models, deep learning training, and large-scale AI systems.<\/td>\nAI Engineer, Optimisation Specialist, ML Researcher<\/td>\n<\/tr>\n
Statistics and Exploratory Data Analytics<\/td>\nThis subject introduces statistical methods and exploration techniques for analysing and understanding data. Students learn data visualization, probability distributions, hypothesis testing, and statistical modeling for data-driven decision-making.<\/td>\nData Scientist, Data Analyst, Business Intelligence Analyst<\/td>\n<\/tr>\n
Applied Machine Learning<\/td>\nThis course focuses on the practical implementation of machine learning algorithms for real-world applications. Students learn model training, evaluation techniques, feature engineering, and deployment of machine learning solutions.<\/td>\nMachine Learning Engineer, AI Developer, Data Scientist<\/td>\n<\/tr>\n
Neural Networks & Deep Learning<\/td>\nThis subject focuses on advanced neural network architectures and deep learning models used in AI systems. Students study convolutional neural networks, recurrent networks, and transformer-based models for complex data processing.<\/td>\nDeep Learning Engineer, AI Researcher, Computer Vision Engineer<\/td>\n<\/tr>\n
MLOps for Generative-AI<\/td>\nThis course focuses on managing the lifecycle of AI and generative AI models. Students learn model deployment, monitoring, automation pipelines, and scalable AI infrastructure using modern MLOps practices.<\/td>\nMLOps Engineer, AI Platform Engineer, ML Infrastructure Engineer<\/td>\n<\/tr>\n
Generative AI<\/td>\nThis subject focuses on advanced AI models capable of generating text, images, audio, and other content. Students learn transformer architectures, large language models, and generative techniques used in modern AI applications.<\/td>\nGenerative AI Engineer, AI Research Scientist, NLP Engineer<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

<\/p>\n

\n
\n

\n Frequently Asked Questions
\n <\/h2>\n

\n Find answers to common questions about the M.Tech in CSE with Specialisation in Generative AI at IILM University Gurugram.\n <\/p>\n<\/p><\/div>\n

<\/p>\n

\n\n What is the M.Tech in CSE with Specialisation in Generative AI at IILM Gurugram?
\n <\/summary>\n
\n

\n M.Tech in CSE with Specialisation in Generative AI at IILM University Gurugram is a two-year postgraduate engineering programme focused on building and deploying AI systems that can generate text, images, audio, video, and other digital content.<\/p>\n

The programme covers deep learning, transformer architectures, large language models, generative adversarial networks, natural language processing, MLOps, and AI ethics. It is delivered by IILM's School of Computer Science & Engineering in collaboration with industry partners to keep the curriculum aligned with evolving industry requirements.\n <\/p>\n<\/p><\/div>\n<\/details>\n

<\/p>\n

\n\n What is Generative AI and why is it worth doing an M.Tech in it?
\n <\/summary>\n
\n

\n Generative AI refers to artificial intelligence systems that can produce new content, including text, images, code, music, video, and simulations, rather than only classifying information or making predictions.<\/p>\n

Technologies such as ChatGPT, DALL-E, Gemini, Midjourney, and GitHub Copilot are built on generative AI foundations such as transformer models, diffusion models, and large language models. An M.Tech in Generative AI prepares students for emerging AI roles across healthcare, finance, media, gaming, defence, and other technology-driven industries.\n <\/p>\n<\/p><\/div>\n<\/details>\n

<\/p>\n

\n\n What are the eligibility criteria for M.Tech in Generative AI at IILM?
\n <\/summary>\n
\n

\n Candidates should have a B.Tech, B.E., MSc, or MCA degree in Computer Science & Engineering, Information Technology, Electronics, or a related engineering discipline from a recognised university.<\/p>\n

A valid GATE score is preferred, including GATE CSE, GATE DA for Data Science and Artificial Intelligence, or GATE EC. Candidates without a GATE score may be considered through IILM's entrance test or based on academic merit.<\/p>\n

A minimum aggregate of 55% in B.Tech or B.E. is required. Working professionals with a relevant technical degree and AI or machine learning experience may also be considered under the sponsored category.\n <\/p>\n<\/p><\/div>\n<\/details>\n

<\/p>\n

\n\n What is the semester-wise curriculum for M.Tech in Generative AI at IILM?
\n <\/summary>\n
\n

\n The M.Tech in Generative AI at IILM Gurugram is structured across four semesters. Semester 1 covers bridge and core subjects, including Optimisation Algorithms, Database Systems, Statistics and Exploratory Data Analytics, Applied Machine Learning, Digital Image Processing, Neural Networks and Deep Learning, and a Bridge Course.<\/p>\n

Semester 2 focuses on Computational Linguistics and Natural Language Processing, MLOps for Generative AI, Generative AI, Research Methodology and IPR, and two programme electives.<\/p>\n

Semester 3 includes a summer internship or industry capstone project. Semester 4 includes a project or dissertation completed in two phases under faculty guidance.\n <\/p>\n<\/p><\/div>\n<\/details>\n

<\/p>\n

\n\n What job roles are available after M.Tech in Generative AI?
\n <\/summary>\n
\n

\n Graduates can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, AI\/ML Consultant, AI Ethicist, AI Product Manager, NLP Engineer, Computer Vision Engineer, Generative AI Engineer, GenAI Model Architect, GenAI System Developer, AI Solution Architect, AI Strategy Consultant, and GenAI Product Manager.<\/p>\n

These roles are available across healthcare, entertainment, media, finance, gaming, advertising, robotics, automation, and other industries adopting AI-powered systems.\n <\/p>\n<\/p><\/div>\n<\/details>\n

<\/p>\n

\n\n Which industries are hiring Generative AI engineers in India?
\n <\/summary>\n
\n

\n Generative AI engineers are being hired across technology, banking and financial services, healthcare and pharmaceuticals, media and entertainment, gaming, government, defence, consulting, ecommerce, and India's IT services sector.<\/p>\n

Common applications include LLM development, AI product integration, fraud detection, document processing, customer-service automation, medical diagnosis, drug discovery, content generation, personalised streaming, procedural game development, and enterprise AI transformation.\n <\/p>\n<\/p><\/div>\n<\/details>\n

<\/p>\n

\n\n What is the difference between M.Tech in Generative AI and M.Tech in regular CSE or AI\/ML?
\n <\/summary>\n
\n

\n A general M.Tech in CSE covers a broad range of computing subjects, including algorithms, systems, networks, databases, and selected AI concepts. An M.Tech in AI or Machine Learning focuses on machine learning, deep learning, predictive modelling, and their applications.<\/p>\n

M.Tech in Generative AI offers deeper specialisation in technologies that create new content, including transformers, GANs, diffusion models, large language models, multimodal AI, and the MLOps infrastructure required to deploy these systems.<\/p>\n

It is particularly suitable for students who want to build, fine-tune, evaluate, or deploy generative AI systems.\n <\/p>\n<\/p><\/div>\n<\/details>\n

<\/p>\n

\n\n Is prior AI or machine learning experience required to apply for M.Tech in Generative AI at IILM?
\n <\/summary>\n
\n

\n No, prior professional experience in artificial intelligence or machine learning is not required. The programme includes a Bridge Course in Semester 1 to help students strengthen the mathematical and computational foundations required for advanced AI study.<\/p>\n

Students with knowledge of programming, data structures, linear algebra, and basic machine learning will be well prepared. Prior exposure to Python, TensorFlow, or PyTorch can be beneficial, but it is not a mandatory prerequisite.\n <\/p>\n<\/p><\/div>\n<\/details>\n

<\/p>\n

\n\n What research and industry collaboration opportunities are available in this programme?
\n <\/summary>\n
\n

\n Students can benefit from industry collaborations involving live projects, internships, and practical problem-solving assignments. They can also access AI and computing laboratories with high-performance workstations and specialised environments for Generative AI research.<\/p>\n

The programme includes faculty-led research mentorship, opportunities to contribute to journal publications, and a mandatory Semester 3 industry internship or capstone project. Students interested in pursuing a PhD can also use their research work to strengthen future applications.\n <\/p>\n<\/p><\/div>\n<\/details>\n

<\/p>\n

\n\n What is the admission process for M.Tech in Generative AI at IILM Gurugram?
\n <\/summary>\n
\n

\n Candidates must register and apply online through the IILM admissions portal, selecting the M.Tech CSE with Specialisation in Generative AI programme at the Gurugram campus.<\/p>\n

Applicants should upload their B.Tech or B.E. degree and marksheets, GATE scorecard if available, and other required documents. Candidates are shortlisted based on their GATE score, academic merit, or performance in IILM's entrance test.<\/p>\n

Shortlisted candidates may be invited for a personal interview with the School of Computer Science & Engineering faculty. Successful candidates then receive a provisional admission offer.\n <\/p>\n<\/p><\/div>\n<\/details>\n<\/section>\n","protected":false},"excerpt":{"rendered":"

Specialisations Major Subjects Description Career Opportunities Optimization Algorithms This subject focuses on mathematical and computational techniques used to find optimal solutions for complex problems. Students learn optimisation methods used in machine learning models, deep learning training, and large-scale AI systems. AI Engineer, Optimisation Specialist, ML Researcher Statistics and Exploratory Data Analytics This subject introduces statistical […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-template\/page-bba.php","meta":{"footnotes":""},"class_list":["post-2544","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nM.Tech CSE in Generative AI | IILM University Gurugram<\/title>\n<meta name=\"description\" content=\"Pursue M.Tech CSE with Generative AI specialisation at IILM Gurugram with deep learning, LLMs, AI research, projects, and industry-focused training.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/iilm.edu\/gurugram\/m-tech-in-cse-with-specialisation-in-generative-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta 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