Diploma Degree · 3 Years
Diploma in Civil Engineering

A Diploma in Civil Engineering is a 3-year technical course that teaches students the basic principles and practical skills related to  civil tools, and civil materials systems in the field of  Civil Engineering.

Programme Overview

About the Programme

A Diploma in Civil Engineering is a professional technical program that focuses on the planning, design, construction, and maintenance of infrastructure projects such as buildings, roads, bridges, dams, airports, and water supply systems. The course provides students with practical and theoretical knowledge required in the construction and infrastructure industry.

The program emphasizes engineering fundamentals, construction techniques, surveying, structural design, estimation and costing, environmental engineering, and the use of modern drafting tools like AutoCAD. Students also gain hands-on training through laboratory work, field visits, workshops, and industrial training.

This diploma prepares students for employment in government and private sectors as junior engineers, site supervisors, surveyors, CAD technicians, and construction managers. It also provides a strong foundation for higher education through lateral entry into B.Tech/BE programs.

With rapid growth in infrastructure and urban development, Diploma in Civil Engineering offers excellent career opportunities in construction companies, public sector organizations, railways, municipal corporations, and real estate industries.

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.

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

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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

The primary aim of this program is: Provide Basic Engineering Knowledge
To give students fundamental knowledge in engineering subjects such as mathematics, science, and core technical concepts.

02

Develop Practical Skills
To train students in hands-on practical work, laboratory experiments, and workshop practices required in engineering fields.

03

Prepare Skilled Technicians
To produce competent technicians and supervisors who can work in industries, manufacturing units, construction projects, and technical services.

04

Encourage Problem-Solving Ability
To develop the ability to identify technical problems and apply engineering principles to solve them.

05

Promote Professional and Ethical Values
To build discipline, teamwork, communication skills, and professional ethics needed in the workplace.

Programme Objective
Objective of the Programme

Five core objective that define what this programme sets out to achieve for every student.

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Technical Knowledge
To provide fundamental knowledge of engineering principles, science, and technology.

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Practical Skills Development
To develop hands-on skills through laboratory work, workshops, and field training.

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Industry Readiness
To prepare students to work as skilled technicians in engineering industries.

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Problem-Solving Ability
To train students to identify and solve basic engineering and technical problems.

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Communication and Teamwork
To improve communication skills and the ability to work effectively in teams.

Programme Aims
Programme Outcomes

Eight measurable outcomes that every graduate of this programme will demonstrate.

PO1

Engineering Knowledge
Apply knowledge of mathematics, science and engineering fundamentals and Civil Engineering specialization to the solution of complex Engineering problems related to Civil Engineering.

PO2

Problem Analysis
Identify, formulate, research literature and analyze complex Civil Engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences

PO3

Conduct investigations
Conduct investigations of complex Civil Engineering problems using research-based knowledge and research methods including analysis, interpretation of data and synthesis of information to provide valid conclusions.

PO4

Design/ Development of Solutions
Design solutions for complex Civil Engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal and environmental considerations.

PO5

Modern Tool Usage
To apply appropriate techniques, resources and engineering and IT tools for modeling of different Civil Engineering problems with an understanding of the limitations.

PO6

The Engineer and Society
Apply contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice

PO7

Environment and Sustainability
Understand the impact of professional Engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.

PO8

Ethics
Apply ethical principles and commit to professional ethics responsibilities and norms of Engineering practice.

PO9

Individual and Team Work
Function effectively as an individual, and as a member or leader in diverse teams as well as in multi disciplinary settings.

PO10

Communication
Communicate effectively on complex Civil Engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions.

PO10

Project Management and Finance
Demonstrate knowledge and understanding of Civil Engineering and management principles and apply these to one’s own work, as a member and leader of a team, to manage projects and in multidisciplinary environments.

PO10

Life-long Learning
Recognize the need for the preparation and ability to engage in independent and life- long learning in the broadest context of technological change.

After Completion
Career Opportunities

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

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AI / ML Engineer

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

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Data Scientist

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

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AI Research Scientist

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

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Deep Learning / NLP Engineer

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

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Computer Vision Engineer

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

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

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

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MLOps / Cloud AI Engineer

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

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Generative AI Specialist

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