B.Tech. - Electrical Engineering

Program Description

The B.Tech. in Computer Science Engineering with a specialization in Electric Vehicles is designed to provide students with expertise in both computer science and EV technology.

This program is developed in collaboration with L&T, ensuring industry-relevant training, expert mentorship, and exposure to cutting-edge EV advancements.

Students will learn core computing concepts, AI, IoT, and cloud technologies while also gaining hands-on experience with battery management systems, EV powertrains, and smart charging infrastructure.

With India's EV market valued at USD 8.49 billion, graduates will have high-demand career opportunities in the growing electric vehicle industry.

Fees Structure

Eligibility Criteria

• Candidate must have passed Intermediate (10+2) Examination (or its equivalent) with PCM, PCMB, or Maths & Physics as compulsory subjects with at least 45% marks (40% for SC/ST).
• Lateral Entry requires a Diploma or B.Sc. with Mathematics.

Admission Procedure

• Future University admission is based on merit and CUET scores.

Program Objectives

• Provide a strong foundation in computer science and engineering with a focus on electric vehicle technology.
• Enable students to develop software solutions for EV technology, including battery management, energy optimization, and smart grid integration.
• Impart knowledge of AI, IoT, and machine learning applications in electric vehicles.
• Foster innovation in EV software design, data analytics, and cloud computing for sustainable mobility solutions.
• Equip students with practical skills through industry-driven projects in collaboration with L&T.

Why Choose B.Tech. in Computer Science Engineering (Specialization in Electric Vehicles) powered by L&T at Future University?

Future University, in collaboration with L&T Edutech, offers this advanced program to prepare students for the rapidly expanding EV industry.

• Comprehensive Curriculum covering Computer Science and EV technologies.
• 100% Placement Assistance to help students secure top roles in the EV sector.
• World-Class Infrastructure with advanced EV labs and computing facilities.
• Practical Learning Approach including real-world projects and industry mentorship.

Key Study Areas

• Data Structures and Algorithms
• Object-Oriented Programming (Java/Python)
• Operating Systems
• Database Management Systems
• Computer Networks
• Artificial Intelligence & Machine Learning
• Internet of Things (IoT)
• Cloud Computing
• Fundamentals of Electric Vehicles
• Battery Management Systems (BMS)
• EV Powertrain and Control Systems
• Smart Charging Infrastructure

Key Features

• Industry-driven curriculum designed in collaboration with L&T Edutech
• Hands-on training in electric vehicle technology
• Expert mentorship from industry leaders and faculty
• State-of-the-art labs for EV development and research