M.Tech Civil Engineering with Specialization in Transportation Engineering

Fee Type	Amount
Programme Fees (per Semester)	₹60000
Examination Fees	₹3000
International Fee (USD)	$5300

Slab	>=60% - 74.99%	>=75% - 89.99%	>=90% & Above
Fee	₹55000	₹50000	₹45000

Course Curriculum

1ST SEMESTER SUBJECTS

This course provides advanced knowledge of traffic engineering and transportation management, emphasizing traffic analysis, control, safety, mobility, and efficient transportation system performance.

Course Outcome:

CO1: Conduct and analyze traffic studies including traffic volume, speed, delay, headway, gap acceptance, and origin–destination surveys.
CO2: Evaluate parking characteristics, accident data, and road safety performance for transportation system improvement.
CO3: Design traffic signal systems and determine optimum signal timing, cycle length, and signal coordination plans.
CO4: Analyze highway capacity and Level of Service (LOS) for urban and rural road facilities under varying traffic conditions.
CO5: Apply standards for traffic signs, pavement markings, and road safety auditing to enhance highway safety.
CO6: Evaluate and apply Intelligent Transportation Systems (ITS) technologies for traffic management, congestion reduction, and road safety enhancement.

This course develops research skills in research formulation, literature review, research design, data collection and analysis, statistical methods, modelling, simulation, thesis writing, technical publications.

Course Outcome:

CO1: Explain the fundamentals of research methodology, research types, scientific methods and problem formulation techniques.
CO2: Apply research design principles, literature review methods and data collection techniques for conducting systematic research studies.
CO3: Analyze data using statistical methods, sampling techniques and hypothesis testing procedures for research applications.
CO4: Develop research models and apply simulation and analytical techniques for solving engineering and scientific problems.
CO5: Prepare research reports, technical papers, theses and scholarly publications using standard academic writing practices.
CO6: Apply principles of research ethics, intellectual property rights and professional responsibilities in research and development activities.

This course provides advanced knowledge of highway planning, analysis, design, construction, and management for safe, efficient, and sustainable road infrastructure.

Course Outcome:

CO1: Apply geometric design principles for highways, including road margins, pavement surface characteristics, camber, and design controls.
CO2: Design horizontal and vertical alignments incorporating sight distance requirements, super elevation, transition curves, gradients, and vertical curves.
CO3: Analyze and design at-grade intersections, rotary intersections, channelization systems, and grade-separated interchanges as per IRC standards.
CO4: Evaluate and implement traffic control devices including road signs, road markings, safety barriers, delineators, and highway appurtenances.
CO5: Design pedestrian facilities, cycle tracks, bus bays, parking systems, subways, and foot over bridges for safe and efficient transportation.
CO6: Apply principles of urban street design, complete streets, multimodal transportation planning, and traffic calming measures for sustainable mobility.

This laboratory course develops practical skills in transportation engineering through traffic, highway, pavement, and related experiments.

Course Outcome:

CO1: Perform laboratory tests on aggregates and determine their suitability for pavement construction.
CO2: Evaluate physical and engineering properties of bitumen using standard laboratory tests.
CO3: Conduct subgrade soil tests and determine strength characteristics for pavement design.
CO4: Perform Marshall Stability testing and evaluate bituminous mix performance.

Elective Subjects

This course develops advanced understanding of stress, strain, elasticity, and plasticity for analyzing structural response under complex loading conditions.

Course Outcome:

CO1: Analyze plane stress and plane strain problems using equilibrium, compatibility, and stress–strain relationships in two-dimensional elasticity.
CO2: Evaluate stress distributions in structural elements subjected to concentrated loads, bending, thick cylinder action, and stress concentration effects.
CO3: Solve three-dimensional elasticity problems involving principal stresses, principal strains, and shear stresses in solid bodies.
CO4: Apply torsion theories, Saint-Venant’s principles, and energy methods for the analysis of non-circular and thin-walled sections.
CO5: Analyze elastic-plastic behavior of materials using yield criteria, flow rules, plastic potential concepts, and plastic deformation theories.
CO6: Apply finite element methods, numerical stress analysis techniques, experimental strain measurement methods, and basic fracture mechanics concepts in engineering applications.

This course covers advanced pavement performance, structural analysis, material characterization, traffic loading, pavement stresses, and flexible and rigid pavement design.

Course Outcome:

CO1: Explain pavement types, pavement performance concepts, failure mechanisms, and design approaches used in highway engineering.
CO2: Analyze the structural behavior and stress distribution in flexible and rigid pavements using theoretical and advanced analytical methods.
CO3: Evaluate traffic loading characteristics including axle loads, vehicle damage factors, and design traffic estimation for pavement design.
CO4: Assess the engineering properties and characterization of pavement materials under different loading and environmental conditions.
CO5: Design flexible and rigid pavements using IRC, AASHTO, PCA, TRRL, and other standard pavement design methodologies.
CO6: Compare different pavement design approaches, evaluate pavement performance, and recommend suitable strategies for pavement maintenance and management.

This course provides knowledge of rock mechanics, rock mass behavior, in-situ stresses, tunnelling, slope stability, and foundations on rock for safe and stable geotechnical design.

Course Outcome:

CO1: Explain the classification, geological characteristics, discontinuities, and engineering significance of rocks in geotechnical applications.
CO2: Determine the engineering and mechanical properties of rocks using laboratory and field investigation techniques.
CO3: Analyze in-situ rock stresses and evaluate stress distribution and deformation around underground openings and tunnels.
CO4: Assess the stability of rock slopes and rock masses using failure theories, Bishop’s method, and empirical rock engineering approaches.
CO5: Apply limit equilibrium, plastic equilibrium, and elastic analysis methods in the design of rock foundations and underground excavations.
CO6: Evaluate advanced rock mechanics applications including rock mass classification, groundwater effects, tunnel design, underground excavation behavior, and modern rock engineering practices.

This course introduces remote sensing and GPS technologies for spatial data collection and transportation engineering applications.

Course Outcome:

CO1: Explain the fundamental principles of remote sensing, electromagnetic radiation, sensor characteristics, and satellite remote sensing systems.
CO2: Apply preprocessing techniques such as geometric correction, image registration, atmospheric correction, and image transformation for remotely sensed data.
CO3: Analyze remotely sensed images using enhancement techniques, thematic information extraction, classification methods, and change detection approaches.
CO4: Evaluate hyperspectral and radar remote sensing data using filtering techniques, image rectification, and supervised and unsupervised classification methods.
CO5: Explain the principles and operation of Global Positioning Systems (GPS), including satellite surveying, GPS observables, receivers, and positioning techniques.
CO6: Apply advanced remote sensing and GPS technologies for geospatial data integration, transportation engineering applications, infrastructure monitoring, and decision-making.

This course provides advanced knowledge of urban transportation planning and management, emphasizing multimodal integration, public transit, pedestrian and bicycle facilities.

Course Outcome:

CO1: Explain the philosophy, objectives, and applications of Transportation System Management (TSM) and its relevance in urban transportation planning.
CO2: Analyze strategies for promoting public transport, high-occupancy vehicles, carpooling, transit improvements, and multimodal transportation integration.
CO3: Evaluate and design bus route networks considering route types, accessibility, service coverage, and urban transportation requirements.
CO4: Assess measures for promoting non-motorize transportation systems including pedestrianization and bicycle transportation facilities.
CO5: Apply planning and design principles for bicycle facilities, cycle tracks, pedestrian infrastructure, and Level of Service (LOS) evaluation.
CO6: Analyze sustainable urban transportation systems, intelligent transportation technologies, transportation policies, and future urban mobility solutions.

This course focuses on advanced soil exploration, in-situ testing, and foundation analysis for geotechnical engineering applications.

Course Outcome:

CO1: Explain geotechnical exploration procedures, boring methods, sampling techniques, and in-situ testing methods used in foundation engineering.
CO2: Interpret soil exploration data and evaluate deformation characteristics using SPT, CPT, plate load tests, and other field investigations.
CO3: Analyze bearing capacity of shallow foundations using in-situ test results under different site conditions.
CO4: Evaluate settlement behavior of foundations on cohesive and cohesionless soils using field and laboratory data.
CO5: Design and analyze deep foundation systems including piles, pile groups, and well foundations based on geotechnical investigation results.

2ND SEMESTER SUBJECTS

This course provides advanced knowledge of traffic flow theories, models, capacity, congestion, and analytical techniques for evaluating and improving transportation system performance.

Course Outcome:

CO1: Analyze microscopic and macroscopic traffic stream characteristics using statistical distributions and traffic flow parameters.
CO2: Apply traffic stream models to describe relationships among flow, speed, and density under varying traffic conditions.
CO3: Evaluate traffic behavior using shockwave analysis and car-following theories for congestion and bottleneck situations.
CO4: Apply deterministic and stochastic queuing models to analyze delays, queues, and service performance in transportation systems.
CO5: Analyze parking facilities, toll plazas, and signalized intersections using queuing theory and delay estimation techniques.
CO6: Apply advanced traffic simulation, optimization, and congestion management techniques for efficient traffic operations.

This course provides practical knowledge of highway construction procedures, materials, equipment, quality control, and field practices for effective construction management and quality assurance.

Course Outcome:

CO1: Explain embankment construction, subgrade preparation and ground improvement techniques used in highway projects.
CO2: Apply construction procedures for WBM, WMM, cement treated bases and DLC layers.
CO3: Analyze construction methods and quality requirements of bituminous pavements and interface treatments.
CO4: Select appropriate wearing courses and construction practices for roads in special terrains such as hills, deserts and swampy areas.
CO5: Apply quality control measures and construction techniques for concrete pavements including joint construction.
CO6: Evaluate advanced pavement technologies, sustainable materials and rehabilitation techniques for modern highway construction.

This course covers operations research techniques for optimization and decision-making network models, CPM, PERT, inventory, scheduling, queuing, game theory, and simulation.

Course Outcome:

CO1: Formulate and solve linear programming problems using graphical and simplex methods.
CO2: Apply advanced linear programming techniques such as duality, dual simplex, sensitivity analysis, and parametric programming.
CO3: Analyze and solve network optimization and project management problems using CPM, PERT, and flow network models.
CO4: Apply nonlinear, geometric, and dynamic programming techniques to optimization problems.
CO5: Evaluate inventory, scheduling, and sequencing models for effective resource management.
CO6: Analyze queuing systems, game theory models, and simulation techniques for decision-making under uncertainty.

This course provides an opportunity to apply advanced civil engineering knowledge to a real-world research, design, analysis, or technical problem.

Course Outcome:

CO1: Identify a civil engineering problem and define clear objectives, methodology, and expected outcomes.
CO2: Conduct thorough literature review and technical analysis relevant to the selected project topic.
CO3: Apply theoretical concepts and modern tools/software in project design and analysis.
CO4: Design appropriate solutions while considering safety, sustainability, and environmental aspects.
CO5: Prepare and present a well-structured project report and technical presentation.

Elective Subjects

This course provides advanced knowledge of Intelligent Transportation Systems, focusing on smart traffic management, communication, monitoring, traveller information, and efficient, safe mobility solutions.

Course Outcome:

CO1: Explain the evolution, architecture, user services and institutional framework of Intelligent Transportation Systems.
CO2: Analyze the functions and applications of ITS components such as ATIS, ATMS, APTS, ETC, CVO and AHS.
CO3: Apply wireless communication technologies, sensors and data transmission systems used in transportation engineering.
CO4: Evaluate transportation information systems, intelligent control techniques and vehicle monitoring technologies for improving mobility and safety.
CO5: Analyze traffic control strategies and intelligent traffic management systems for efficient transportation operations.
CO6: Assess the role of smart cities, connected vehicles, autonomous transportation technologies and sustainable ITS solutions in future transportation systems.

This course provides advanced knowledge of pavement construction, evaluation, maintenance, rehabilitation, and management for sustainable, durable, and cost-effective pavement performance.

Course Outcome:

CO1: Explain the components, functions and implementation procedures of pavement management systems.
CO2: Evaluate pavement condition using pavement inventories, serviceability concepts, roughness measurements and distress analysis.
CO3: Analyze pavement deterioration mechanisms and apply quality assurance and quality control techniques in pavement engineering.
CO4: Apply construction methods for embankments, subgrades, sub-bases, stabilized layers and drainage systems.
CO5: Evaluate construction and maintenance practices for WMM, stabilized bases, shoulders and pavement drainage systems.
CO6: Apply modern pavement technologies, sustainable materials and smart maintenance practices for improving pavement performance.

This course introduces mathematical optimization techniques for engineering decision-making, covering linear and nonlinear programming, transportation and assignment models.

Course Outcome:

CO1: Formulate and solve linear programming problems using simplex and dual simplex methods.
CO2: Apply transportation, assignment and sensitivity analysis techniques for decision-making problems.
CO3: Analyze constrained and unconstrained nonlinear optimization problems using classical optimization methods.
CO4: Apply one-dimensional and multi-dimensional search techniques for optimization.
CO5: Use gradient-based and penalty function methods for solving engineering optimization problems.
CO6: Apply advanced optimization techniques and metaheuristic approaches to complex engineering and resource allocation problems.

This course focuses on the application of Geographic Information Systems in transportation planning, analysis, and infrastructure management.

Course Outcome:

CO1: Explain the concepts, components and data acquisition methods used in Geographic Information Systems.
CO2: Apply geographic data representation, storage techniques, quality assessment methods and GIS standards.
CO3: Perform GIS data processing, spatial analysis, network analysis and surface modeling for transportation applications.
CO4: Design and manage GIS databases and evaluate alternative GIS implementation strategies.
CO5: Apply GIS techniques for transportation planning, accessibility studies, infrastructure management and decision support systems.
CO6: Evaluate advanced GIS applications and emerging geospatial technologies for transportation and infrastructure engineering.

This course provides knowledge of environmental impact assessment and management for transportation and infrastructure projects, emphasizing sustainability, mitigation, resource conservation, and responsible planning.

Course Outcome:

CO1: Explain the concepts, objectives, components and procedural framework of Environmental Impact Assessment (EIA) and its role in sustainable development.
CO2: Apply various impact identification, prediction and evaluation methodologies for assessing environmental consequences of development projects.
CO3: Analyze environmental legislation, environmental protection acts, regulatory frameworks and compliance requirements related to environmental management.
CO4: Evaluate life cycle assessment techniques and environmental auditing methods for measuring environmental performance of projects and industries.
CO5: Prepare and assess Environmental Impact Assessment reports for infrastructure, industrial and public utility projects considering mitigation and management measures.
CO6: Assess Strategic Environmental Assessment (SEA), emerging environmental assessment approaches and their applications in policy, planning and sustainable decision-making.

This course addresses the planning, design, construction, and management of roads in challenging and special terrain conditions.

Course Outcome:

CO1: Explain the planning, design, and construction features of hill roads, including slope stabilization and protective structures.
CO2: Apply design principles and maintenance practices for roads in desert regions and sand dune areas.
CO3: Analyse the planning and design requirements of urban roads, including pedestrian, cycling, and public transport facilities.
CO4: Evaluate rural road network planning, pavement types, and construction technologies for rural transportation systems.
CO5: Recommend suitable construction and treatment methods for roads in swampy, waterlogged, and black cotton soil areas.
CO6: Apply design standards, safety features, signs, markings, and operational requirements of expressways.

3RD SEMESTER SUBJECTS

This course provides advanced knowledge of geometric design of transportation infrastructure, emphasizing alignment, roadway elements, safety, efficiency, operational performance, and design standards.

Course Outcome:

CO1: Apply IRC guidelines and geometric design principles for the planning and design of highway alignments, including horizontal and vertical curves.
CO2: Analyze and design at-grade intersections, channelization systems, roundabouts and staggered intersections for safe and efficient traffic movement.
CO3: Design grade-separated interchanges, entrance and exit ramps, acceleration lanes and deceleration lanes based on traffic and operational requirements.
CO4: Evaluate and design facilities for non-motorized transportation, including pedestrian pathways, bicycle tracks and slow carriageways.
CO5: Apply geometric design standards for airport infrastructure, including runways, taxiways and associated airfield facilities.
CO6: Integrate Intelligent Transportation Systems (ITS), Bus Rapid Transit (BRT), Transit-Oriented Development (TOD) and sustainable transportation principles into modern transportation infrastructure design and planning.

This course introduces economic and financial principles applicable to transportation systems and infrastructure projects.

Course Outcome:

CO1: Explain the fundamental concepts of transport economics, engineering economics, welfare theory and economic analysis applicable to transportation systems.
CO2: Analyze transport investment policies, pricing strategies, resource allocation methods and financing mechanisms for transportation sectors.
CO3: Evaluate transportation planning alternatives using economic evaluation techniques, transport pricing models and policy analysis tools.
CO4: Apply Total Quality Management (TQM) principles and quality improvement techniques in transportation and highway projects.
CO5: Assess the feasibility and economic viability of transportation projects using appraisal methods, cost-benefit analysis and multi-criteria decision-making techniques.
CO6: Analyze sustainable transport planning approaches, environmental impacts of transportation systems and emerging innovations in transportation economics and finance.

This course focuses on the planning, design, construction, and maintenance of roads carrying relatively low traffic volumes.

Course Outcome:

CO1: Explain the principles of rural road planning, road classification systems, and various rural road network models including PMGSY concepts.
CO2: Apply geometric design standards and pavement design methods for rural roads in plain and hilly areas.
CO3: Evaluate the suitability of conventional, marginal, and waste materials for sustainable rural road construction.
CO4: Analyze construction techniques and case studies related to low-cost and waste-material-based rural road projects.
CO5: Design drainage systems, cross-drainage structures, and filter arrangements for rural roads.
CO6: Identify causes of pavement failures and recommend appropriate maintenance and rehabilitation measures for rural roads.

This course focuses on environmental pollution control and sustainable management, EIA, environmental legislation, and sustainable development practices.

Course Outcome:

CO1: Explain ecosystem concepts, ecological processes, and environmental interactions affecting natural resources.
CO2: Analyze sources, impacts, and control measures of water, air, noise, and solid waste pollution.
CO3: Evaluate environmental degradation issues such as deforestation, soil erosion, salinization, and land-use changes.
CO4: Assess global environmental challenges and apply Environmental Impact Assessment (EIA) methodologies for development projects.
CO5: Apply environmental laws, regulations, and Environmental Management System (EMS) principles for environmental protection and compliance.
CO6: Develop sustainable environmental management strategies through resource conservation, environmental ethics, and climate change mitigation practices.

This course focuses on research problem formulation, literature review, identification of research gaps, and development of research objectives, scope, and methodology for engineering research.

Course Outcome:

CO1: Work on a extensive research and development project or technical project.
CO2: Review and evaluate the literature available related to chosen problem.
CO3: Validate theoretical and reported data with results obtained from numerical/ experimental/ analytical study.
CO4: Identify scope of future studies.

4TH SEMESTER SUBJECTS

This course focuses on completing research through experimentation, modelling, simulation, or case studies, followed by data analysis, validation, conclusions, recommendations, and final dissertation preparation and presentation.

Course Outcome:

CO1: Formulate research objectives, hypotheses, and methodology.
CO2: Design experiments or models to collect and analyze data effectively.
CO3: Interpret results and draw meaningful conclusions based on analysis.
CO4: Develop technical writing and presentation skills through report writing and defense.
CO5: Apply subject knowledge to solve real-world engineering problems independently.

Admissions Open 2026-27

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M.Tech Civil Engineering with Specialization in Transportation Engineering

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Why CT University is the Right Choice for Your Future

Industry-oriented learning

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Academic excellence & mentorship

Global opportunities & placements

Fee Structure & Scholarships

Program Fee Details

Merit Based Scholarship Scheme

Course Curriculum

1ST SEMESTER SUBJECTS

Traffic Engineering and Management

Research Methodology

Advanced Highway Engineering

Transportation Engineering Lab

Elective Subjects

Theory of Elasticity and Plasticity

Pavement Analysis and Design

Rock Mechanics

Remote Sensing and GPS for Transportation Engineering

Transportation System Management

Soil Exploration and Analysis of Foundations

2ND SEMESTER SUBJECTS

Traffic Flow Analysis

Highway Construction Practice

Operation Research

Project

Elective Subjects

Intelligent Transportation Systems

Pavement Construction Maintenance and Management

Optimization Techniques

GIS Applications in Transportation Engineering

Environmental Impact Assessment

Roads in Special Areas

3RD SEMESTER SUBJECTS

Geometric Design of Transportation Infrastructure

Transportation Economics and Finance

Low Volume Roads

Environmental Engineering & Management

Dissertation Phase I (Literature Survey)

4TH SEMESTER SUBJECTS

Dissertation Phase II

Program Outcomes & Features

Program Outcomes

Program Specific Outcomes

Labs and Facilities

Structure Analysis Lab

Concrete Technology Lab

Surveying Lab

Transportation Engineering Lab

Soil Mechanics Lab

Backed by the Legacy of CT Group, Driven by Proven Success

20000+

800+

1.2Cr

1800+

Admissions
Open 2026-27

Industry-oriented
learning

Modern campus
facilities

Academic excellence &
mentorship

Global opportunities &
placements