Follow Us :

Post Graduate Degree · 2 Years
Master of Optometry

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 Overview

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

Background

AI-First Curriculum
Deep learning, NLP, computer vision, reinforcement learning, and generative AI from Year 3 onwards.

Background (1)

Dual Degree in 5 Years
Graduate with both a B.Tech and M.Tech, saving a year compared to separate programmes.

Background (2)

Industry-Integrated Learning
Mandatory internship + real-world capstone project with industry mentors in Years 4–5.

Background (3)

Research Opportunities
GPU-powered AI Research Lab access. Co-author papers with faculty from Year 3 onwards.

Background (4)

Global Certifications
Embedded AWS, Google Cloud, NVIDIA, and TensorFlow Developer certifications within the curriculum.

Programme Aims
Aim of the Programme

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

Programme Objective
Objective of the Programme

Four core aims that define what this programme sets out to achieve for every student.

Overlay (2)

Build strong theoretical knowledge

Overlay (3)

Develop clinical & diagnostic skills

Overlay (4)

Provide comprehensive eye care

Overlay (5)

Promote ethical and professional practice

Overlay (6)

Support community eye health

Overlay (7)

Work effectively in the healthcare system

Programme Aims
Programme Outcomes

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.

After Completion
Career Opportunities

Graduates are equipped for the most exciting and high-growth roles in the AI & tech
industry.

Overlay (2)
AI / ML Engineer

Design and deploy production-grade ML models and intelligent systems at scale.

Overlay (3)
Data Scientist

Extract insights from complex datasets using statistical modelling and advanced analytics.

Overlay (4)
AI Research Scientist

Conduct cutting-edge research in deep learning, NLP, or CV at top research labs worldwide.

Overlay (5)
Deep Learning / NLP Engineer

Build language models, translation systems, and intelligent dialogue agents.

Overlay (6)
Computer Vision Engineer

Build image recognition, object detection, and video analytics systems for real-world deployment.

Overlay (7)
Robotics Engineer
Design autonomous robotic systems powered by AI perception and control algorithms.
Overlay (7)
AI Consultant / Solutions Architect

Guide enterprises in adopting intelligent systems and AI-driven transformation strategies.

Overlay (7)
MLOps / Cloud AI Engineer

Manage model lifecycle, CI/CD pipelines, and scalable AI infrastructure on cloud platforms.

Overlay (7)
Generative AI Specialist

Work with LLMs, diffusion models, and multimodal AI for creative and enterprise applications.