About the programme

The M.Tech in Transportation Engineering, offered by the Department of Civil Engineering at Mahindra University, comprises 13 teaching course units worth 44 credits (including practical components) and a thesis worth 21 credits, making a total of 65 credits.

The curriculum covers both fundamental and advanced aspects of transportation engineering with a strong theoretical and practical orientation. Traditional course content has been updated to align with evolving industry requirements. Many courses include laboratory components, providing students with hands-on experience in solving real-world transportation challenges.

A key feature of the programme is the flexible internship duration, allowing students to undertake internships of 8–12 weeks, six months or up to one year, depending on industry requirements and student interests. This enables deeper exposure to practical transportation problems and professional work environments.

The programme emphasises transportation systems and modelling, supported by computational and experimental laboratories. Students also gain programming and software skills required for modern transportation analysis and planning. Training in widely used transportation software tools ensures graduates are industry-ready. Electives can be chosen from a range of disciplines across the university, enabling interdisciplinary learning.

Programme outcomes

Graduates of the programme will be able to:

• Plan, analyse, design and execute transportation infrastructure projects.
• Apply knowledge of science, engineering principles and optimisation techniques to solve transportation engineering problems.
• Work effectively in interdisciplinary teams to deliver multidisciplinary infrastructure projects.
• Apply transportation engineering and management principles to plan and manage projects.

Programme educational objectives (PEOs)

• Provide comprehensive knowledge of transportation systems to address current and future infrastructure challenges.
• Prepare graduates to work in interdisciplinary environments using advanced technologies to solve complex transportation problems.
• Foster social responsibility, reflective learning and professional ethics throughout their careers.

Programme-specific outcomes (PSOs)

• Apply fundamental transportation engineering principles in the planning, design, construction, operation and maintenance of sustainable infrastructure.
• Use modern equipment and software tools to build successful careers in academia, industry and research.
• Demonstrate leadership, ethical responsibility and a commitment to lifelong learning.

Course structure

The curriculum balances courses across transport planning, traffic engineering and pavement design. Students complete core courses during the first and second semesters, followed by a capstone project that integrates their learning.

Elective courses allow students to deepen their expertise in selected areas, while emerging topics such as intelligent transport systems are incorporated into the programme. The structure also allows students to undertake extended internships or research projects during the second year.

Admission process

Applications are shortlisted based on:

• GATE percentile scores, or
• Performance in the written test conducted by Mahindra University.
• All shortlisted candidates must appear for a personal interview for final selection.

Link: MU test syllabus

Career roles

Graduates of the programme can pursue roles such as:

• Highway engineer
• Traffic analyst
• Transportation planner
• Researcher

These roles may be across sectors including:

• Entrepreneurial ventures in transportation and infrastructure.
• Consulting firms
• Academic and research institutions
• Government agencies

Objective

This interdisciplinary programme is offered by the Department of Mechanical and Aerospace Engineering at the École Centrale School of Engineering, Mahindra University, in collaboration with the Departments of Electronics and Computer Science.

The two-year programme provides advanced engineering knowledge through courses in kinematics, dynamics, electronics, computer programming, mathematics and specialised electives. Students also gain exposure to emerging areas such as intelligent machines, healthcare technologies and automation systems.

The programme requires a minimum of 60 credits across four semesters. Approximately two-thirds of the credits are devoted to coursework, while the remaining credits are allocated to a master’s thesis based on original research. Most courses include practical components to ensure hands-on learning and application.

Expected programme outcomes

Graduates of the programme are expected to:

• Design and implement analogue and digital electronic circuits within robotics and automation systems.
• Understand fundamental and advanced engineering concepts with a strong theoretical foundation in robotics.
• Apply principles of mechanical design, electronics design and control systems.
• Use engineering tools and methodologies to design and develop mechanical components and robotic systems.
• Develop robotic products and automation systems using integrated hardware and software approaches.

Career roles

Graduates of the programme can pursue roles such as:

• Project manager
• Robotics engineer
• Automation engineer
• Industrial robotics manager
• Automation and logistics manager

Admission process

Route 1 – GATE-qualified candidates
Applicants with a valid GATE score and a percentile above 90% will be shortlisted for an interview.

Route 2 – Non-GATE candidates
Applicants without a valid GATE score, or with a percentile below 90%, must appear for a written examination, followed by an interview for shortlisted candidates.

Why choose the Computer-Aided Structural Engineering programme at Mahindra University

The M.Tech in Computer-Aided Structural Engineering (CASE) programme provides in-depth training in mathematical modelling and computational methods for analysing complex structural systems. The curriculum covers areas such as non-linear analysis, static and dynamic structural analysis, and integrates analytical thinking with programming skills.

This interdisciplinary approach enables students to solve complex design and analysis problems involving various materials and structural systems.

Link : MU Test Syllabus

Convergence of AI and structural engineering

Emerging technologies are transforming the construction and infrastructure sectors. The programme introduces students to advanced applications such as:

• AI-assisted construction, 3D-printed housing and prefabricated concrete structures.
• Monitoring structural issues including moisture intrusion, corrosion, settlement and structural deficiencies.
• Structural health monitoring (SHM) using image analysis to detect cracks and structural damage.
• Building Information Modelling (BIM) for integrating data across the lifecycle of infrastructure—from design and construction to maintenance and demolition.
• Use of AI, IoT and data analytics to optimise construction processes, reduce delays and improve infrastructure performance.

Core strengths

• Faculty: Doctoral faculty trained at leading institutions across the world.

• Research ecosystem: Research centres such as the Centre for Sustainable Infrastructure and Systems (CSIS) and the Centre for Artificial Intelligence.

• Experimental facilities
  • Structural engineering laboratory
  • Structural health assessment and monitoring laboratory
  • Structural dynamics laboratory

• Computing infrastructure: High-performance computing facilities, wireless innovations laboratories and a 5G design studio.

• Collaborations: Active collaborations with industry partners and national and international universities.

Programme-specific outcomes

• Develop analytical, computational and programming skills required to analyse and design sustainable solutions for infrastructure challenges in both new and ageing civil structures.
• Equip students with the expertise needed to pursue careers as design consultants, entrepreneurs or researchers in structural engineering and related fields.
• Provide exposure to advanced technologies such as AI, BIM, IoT and 3D printing for monitoring, repair, retrofitting and sustainable infrastructure development.

• Develop analytical, computational and programming skills required to analyse and design sustainable solutions for infrastructure challenges in both new and ageing civil structures.
• Equip students with the expertise needed to pursue careers as design consultants, entrepreneurs or researchers in structural engineering and related fields.
• Provide exposure to advanced technologies such as AI, BIM, IoT and 3D printing for monitoring, repair, retrofitting and sustainable infrastructure development.

Programme educational objectives (PEOs)

• Develop proficiency in fundamental and advanced principles of structural engineering to analyse and solve civil infrastructure problems for sustainable environments.
• Expose students to emerging technologies and innovations that support research-driven applications in structural engineering.
• Prepare graduates for professional leadership, teamwork, lifelong learning and successful careers in the structural engineering domain.

Eligibility

1. Candidates must have completed a full-time bachelor’s degree from a recognised university or institute with a minimum aggregate of 60% marks or equivalent grade.
2. B.E./B.Tech. in Civil Engineering is mandatory, along with a valid GATE score in Civil Engineering.
3. Candidates appearing for their final semester examination are also eligible to apply.

Admission process

• GATE-qualified candidates: Applicants with a valid GATE score and a percentile of 80 or above will be invited for an interview as part of the admission process.
• Non-GATE candidates: Applicants without a valid GATE score, or with a percentile below 80, must appear for a written test conducted by ECSE–Mahindra University, followed by an interview for shortlisted candidates.

About the programme

The two-year M.Tech in Computational Mechanics is offered by the Department of Mechanical and Aerospace Engineering, École Centrale School of Engineering, Mahindra University.

The programme focuses on three key areas:

• Programming and computational modelling
• Widely used computational methods such as FEM and CFD
• Coupled problems and multiphysics analysis

A distinctive feature of the programme is the strong emphasis on practical training, with extended laboratory and project work designed to address real-world industry problems. The curriculum has been developed with input from industry experts across multiple sectors.

Students also gain exposure to advanced topics through core and open electives, including:

• Turbulent flows
• Non-linear finite element methods
• Engineering optimisation

Approximately one-third of the total 62 programme credits are dedicated to extended industry internships or original research projects under faculty supervision. The second year provides an opportunity for a full-time industry internship, enabling students to gain hands-on experience and understand professional expectations in solving industry-relevant challenges.

Programme outcomes

Graduates of the programme will be able to:

• Understand the product development lifecycle and adapt to modern engineering development processes.
• Develop computational models by capturing the relevant physical phenomena of engineering problems.
• Validate designs using appropriate experimental methods and data analysis techniques.
• Develop additional computational models or programming frameworks for specialised engineering applications.

Eligibility

• Candidates must hold a full-time bachelor’s degree from a recognised university or institute with a minimum aggregate of 60% marks or equivalent grade.
• B.E./B.Tech. in Mechanical, Aerospace, Civil or Chemical Engineering** with a valid GATE score is required.
• Candidates appearing for their final semester examination are also eligible to apply.

Note: Candidates from Civil or Chemical Engineering backgrounds may be required to complete a bridge course before the start of the M.Tech programme.

Admission process

• GATE-qualified candidates: Applicants with a valid GATE score and a percentile of 80 or above will be invited for an interview as part of the admission process.
• Non-GATE candidates: Applicants without a valid GATE score, or with a percentile below 80, must appear for a written test conducted by ECSE–Mahindra University, followed by an interview for shortlisted candidates.

Note: Deserving candidates may receive a stipend in accordance with university policy.

Career opportunities

Graduates of the programme can pursue roles such as design engineer, mechanical engineer, analysis lead or research engineer across industries including:

• Defence and aerospace
• Automotive and electric vehicles
• Materials processing and manufacturing
• Energy and renewable technologies
• Engineering services and consulting.