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Optometrists are primary healthcare practitioners specializing in the eye and visual system, playing a crucial role in maintaining and improving visual health. They provide comprehensive eye and vision care services, which include conducting detailed eye examinations, performing refraction to determine appropriate corrective lenses, and dispensing spectacles or contact lenses tailored to individual needs.
Programme at a Glance
About the Programme
Optometry is a health care profession that is autonomous and concerned especially with examining the eye for defects and faults of refraction, with prescribing correctional lenses, eye exercises and/or visual rehabilitation care for the visually impaired, with diagnosing diseases of the eye, and with treating such diseases or referring them for treatment. Optometry as a profession has the primary public health responsibility for eliminating uncorrected refractive error (the leading cause of vision impairment globally). As primary eye care practitioners, optometrists have a vital role in detecting potentially serious eye diseases such as cataract, glaucoma and Diabetic retinopathy, age-related maculopathy, as well as general health conditions such as hypertension and diabetes, which means optometrists can also help alleviate the burden of other causes of blindness through diagnosis, referral and in some cases co-management. Optometry can and should play a leading role in eye care provision at the primary level, and can also contribute at secondary and tertiary levels where possible, working with ophthalmologists and other eye care providers towards the unified goal of combating blindness
AI-First Curriculum
Deep learning, NLP, computer vision, reinforcement learning, and generative AI from Year 3 onwards.
Dual Degree in 5 Years
Graduate with both a B.Tech and M.Tech, saving a year compared to separate programmes.
Industry-Integrated Learning
Mandatory internship + real-world capstone project with industry mentors in Years 4–5.
Research Opportunities
GPU-powered AI Research Lab access. Co-author papers with faculty from Year 3 onwards.
Global Certifications
Embedded AWS, Google Cloud, NVIDIA, and TensorFlow Developer certifications within the curriculum.
Four core aims that define what this programme sets out to achieve for every student.
01
Develop competent eye care professionals
Train students with knowledge, clinical skills, and proper attitude to perform optometric duties effectively
02
Focus on competency-based learning
Develop competent eye care professionals
03
Produce qualified manpower in optometry
Create skilled professionals to meet national healthcare needs in vision care
04
Integrate knowledge, skills, and ethics
Ensure students can apply what they learn in real clinical situations with professional ethics
05
Standardise education across India
Provide uniform, high-quality training aligned with global standards
06
Prepare for comprehensive eye care delivery
Enable graduates to examine, diagnose, manage, and prevent eye disorders as primary eye care providers
Four core aims that define what this programme sets out to achieve for every student.
Build strong theoretical knowledge
Develop clinical & diagnostic skills
Provide comprehensive eye care
Promote ethical and professional practice
Support community eye health
Work effectively in the healthcare system
Eight measurable outcomes that every graduate of this programme will demonstrate.
PO1
Technical Proficiency
Apply in-depth knowledge of mathematics, computer science, AI, and ML to solve complex real-world engineering problems.
PO2
Problem Analysis & Intelligent Solutions
Identify, formulate, analyze, and design AI/ML-based solutions using modern algorithms and data-driven approaches.
PO3
System Design & Development
Design, develop, deploy, and optimize scalable AI/ML systems, pipelines, and applications with considerations for performance, security, and maintainability.
PO4
Modern Tool Usage
Proficiently use contemporary tools, languages, and platforms — Python, TensorFlow, PyTorch, scikit-learn, cloud ML services, MLOps frameworks — for model building and production deployment.
PO5
Research & Innovation
Conduct independent research, innovate in emerging AI/ML domains, and contribute novel solutions through experimentation and critical evaluation.
PO6
Teamwork & Communication
Collaborate effectively in multidisciplinary teams and communicate technical ideas clearly to diverse audiences.
PO7
Ethics & Sustainability
Apply professional ethics, understand societal/environmental impacts, and promote responsible, fair, and inclusive AI practices.
PO8
Lifelong Learning
Adapt to rapidly evolving technologies, pursue continuous self-improvement, and engage in lifelong professional development.
Graduates are equipped for the most exciting and high-growth roles in the AI & tech
industry.
Design and deploy production-grade ML models and intelligent systems at scale.
Extract insights from complex datasets using statistical modelling and advanced analytics.
Conduct cutting-edge research in deep learning, NLP, or CV at top research labs worldwide.
Build language models, translation systems, and intelligent dialogue agents.
Build image recognition, object detection, and video analytics systems for real-world deployment.
Guide enterprises in adopting intelligent systems and AI-driven transformation strategies.
Manage model lifecycle, CI/CD pipelines, and scalable AI infrastructure on cloud platforms.
Work with LLMs, diffusion models, and multimodal AI for creative and enterprise applications.