Mahindra École Centrale, [MEC] Hyderabad

M.Tech. in Autonomous Electric Vehicles 

Program Overview

The Master of Technology (M.Tech.) in Autonomous Electric Vehicles at Mahindra University is a two-year postgraduate program designed to provide advanced knowledge and practical skills in the design, development, and integration of autonomous systems, electric propulsion, intelligent control, and vehicle electrification technologies. The program bridges mechanical, electrical, electronics, control, and computing disciplines to prepare students for careers in automotive innovation, autonomous systems engineering, and sustainable mobility.

Program Duration

• 2 years (4 semesters)

Eligibility Criteria

To be eligible for admission to the M.Tech. in Autonomous Electric Vehicles, candidates must meet the following requirements:

• Bachelor’s degree in Engineering/Technology in disciplines such as:

  • Mechanical Engineering

  • Electrical Engineering

  • Electronics and Communication Engineering

  • Mechatronics

  • Computer Science Engineering

  • Automotive Engineering

  • Related technical fields

• Minimum 60% aggregate marks or equivalent grade in the qualifying degree

• Final-year undergraduate students may apply, subject to fulfilling eligibility conditions at the time of admission

Admission Process

Admission to the program is generally based on:

• Valid GATE score followed by a personal interview, or

• University-conducted entrance test and interview for applicants without a GATE score

Shortlisted candidates are selected based on academic performance, entrance score (if applicable), and interview results.

Curriculum Structure

The curriculum focuses on advanced concepts in electric vehicles, autonomous systems, embedded controls, sensor fusion, and AI-based vehicle intelligence.

Core Areas of Study

Students typically study subjects such as:

• Electric Vehicle Architecture and Components

• Battery Technology and Energy Storage Systems

• Power Electronics and Motor Drives

• Control Systems for Autonomous Vehicles

• Sensor Technologies and Sensor Fusion

• Machine Learning and Artificial Intelligence for Vehicles

• Embedded Systems and Real-Time Control

• Vehicle Dynamics and Stability Control

• Connectivity and Vehicle Networking (V2X Systems)

Practical and Laboratory Training

• Hands-on labs with power electronics and electric propulsion systems

• Autonomous vehicle prototyping and sensor testing

• Simulation platforms for control algorithms and vehicle behavior

• Projects involving embedded hardware and real-time systems

Project Work

• Major project or thesis in the final semester

• Opportunity to engage in industry-linked or research-oriented projects on autonomous and electric vehicle technologies

Learning Outcomes

Graduates of the M.Tech. in Autonomous Electric Vehicles program will be able to:

• Design and analyze electric vehicle systems and components

• Develop autonomous control algorithms and integrate multi-sensor systems

• Implement embedded and real-time control solutions for vehicle platforms

• Apply machine learning and AI techniques in autonomous mobility

• Conduct research and innovate in electric and autonomous vehicle domains

Career Opportunities

After completing the program, graduates can pursue careers such as:

• Autonomous Vehicle Engineer

• Electric Vehicle Systems Designer

• Control and Embedded Systems Engineer

• Sensor Integration and AI Systems Specialist

• Power Electronics and Motor Drives Engineer

• R&D Engineer in Automotive and Mobility Firms

• Systems Integration Specialist

• Ph.D. Research Scholar or Academic Faculty

Employment opportunities exist in automotive firms, EV manufacturers, autonomous technology companies, robotics and AI firms, mobility startups, research organizations, and academic institutions.

Academic Environment

The program emphasizes:

• Interdisciplinary training across electrical, mechanical, and computing domains

• Hands-on learning with automotive testbeds and simulation tools

• Research exposure and industry collaboration

• Faculty mentorship with expertise in electric mobility and autonomous systems