About B.Tech. Robotics and Artificial Intelligence


As automation, robotics, and advanced technologies become increasingly integral to various industries, the need for professionals with specialized skills to navigate this changing environment grows. The Department of Computer Science and Engineering at the Faculty of Engineering introduces an in-depth four-year bachelor's degree program in Computer Science and Engineering with a focus on Robotics and Artificial Intelligence. This curriculum is tailored to equip students with the critical knowledge required for these evolving domains.The program covers a broad spectrum of specialized areas, including robotics, artificial intelligence, and system integration, to digital signal processing and control systems. Students will also acquire proficiency in designing, analyzing, and testing a wide range of robotic systems and AI-driven applications. To support practical learning, the Department provides access to five state-of-the-art computer laboratories, designed to offer hands-on experience in relevant technologies. Additionally, a high-performance supercomputer facility is available to facilitate advanced computing and data analysis tasks.Graduates of this program will find a wealth of career opportunities awaiting them in the fast-growing sectors of Robotics and Artificial Intelligence, ready to tackle the challenges of tomorrow's technological landscape.

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National Applicants

International Applicants

B.Tech. Robotics and Artificial IntelligenceProgram Outcomes


Why Study B.Tech. Robotics and Artificial Intelligence

With a growing need for skilled professionals and rich educational experiences, graduates are set to become leaders in this dynamic sector. Upon completion, students will enter a realm filled with endless possibilities, cutting-edge innovation, and continuous advancement.
Robotics Engineer

Robotics Engineer

An ability to design, build, and maintain robots and robotic systems that can perform tasks previously done by humans, with applications ranging from manufacturing to healthcare.

AI Research Scientist

An ability to conduct research to advance the field of artificial intelligence, developing new algorithms and technologies that can enable machines to learn and make decisions independently.

AI Research Scientist
Machine Learning Engineer

Machine Learning Engineer

An ability to implement machine learning models and algorithms to analyze large datasets and create predictive models, improving the intelligence of applications in industries like finance, retail, and healthcare.

Software Developer (AI/Robotics)

An ability to develop software for AI applications or robotic systems, involving coding, testing, and integrating AI functionalities into various software products.

Software Developer (AI/Robotics)
Autonomous Systems Developer

Autonomous Systems Developer

An ability to work on the development of self-driving cars, drones, and other autonomous systems, focusing on integrating AI and robotics to enable these systems to navigate and operate independently.

Duration: 4 years (Semester System)


affiliation

Affiliation

Constituent College of Parul University

eligibility

Eligibility Criteria

Candidate shall have Passed 12th Examination with Physics, Chemistry, Maths/Biology subjects and in these subjects along with theory or theory + practical candidate should have obtained at least 45% in case of general category and 40% in case of reserved category from recognized board

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Mode of Admission

For admissions please visit our portal to register/login yourself and proceed ahead with your admission application.

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B.Tech. Robotics and Artificial Intelligence feesFees


B.Tech. Robotics and Artificial Intelligence

₹ 94,800/- Annually*

* Tuition Fees may vary depending on the Country/ State in which the candidate has passed their qualifying examination.

B.Tech. Robotics and Artificial Intelligence CurriculumCurriculum

Semester 1

Semester 2

Environmental Science

Computational Thinking for Structured Design-2

Engineering Graphics

Mechanics of Solids

Computational Thinking for Structured Design-1

Workshop (Mechanical + Electronics)

Mathematics-I

Mathematics-II

Communication Skills

Advanced Communication & Technical Writing

First Year Elective-1 (Compulsory Subjects :1)

First Year Elective-2 (Compulsory Subjects :1)

 

Semester 3

Semester 4

Design of Data Structures

Operating System

Design of Data Structures Laboratory

Operating System Laboratory

Database Management System

Sensors and Transducers

Database Management System Laboratory

Sensors and Transducers Laboratory

Object Oriented Programming with Java

Communication Protocols

Object Oriented Programming with Java Laboratory

Communication Protocols Laboratory

Analog and Digital Electronics

Programming in Python with Full Stack Development

Analog and Digital Electronics Laboratory

Programming in Python with Full Stack Development Laboratory

Discrete Mathematics

Probability, Statistics and Numerical Methods

Professional Communication Skills

Professional Grooming and Personality Development

 

Materials Engineering

 

Materials Engineering Laboratory

 

Semester 5

Semester 6

Design and Analysis of Algorithms

Project – I

Design and Analysis of Algorithms Laboratory

Artificial Intelligence

Microcontrollers and Interfacing

Artificial Intelligence Laboratory

Microcontrollers and Interfacing Laboratory

Robot Dynamics

Fundamentals of Robotics and Robot Kinematics

Robot Dynamics Laboratory

Fundamentals of Robotics and Robot Kinematics Laboratory

Computer Aided Design

Professional Grooming and Personality Development

Computer Aided Design Laboratory

Manufacturing Technology

PEC 01 (Compulsory Subjects :1)

Manufacturing Technology Laboratory

PEC 01-LAB (Compulsory Subjects :1)

Open Elective 01 (Compulsory Subjects :1)

PEC 02 (Compulsory Subjects :1)

 

PEC 02-LAB (Compulsory Subjects :1)

 

Employability Skills

 

Semester 7

Semester 8

Summer Internship

Internship

Field and Service Robots

 

Field and Service Robots Laboratory

 

Project – II

 

Machine Learning

 

Machine Learning Laboratory

 

PEC 03 (Compulsory Subjects :1)

 

PEC 03-LAB (Compulsory Subjects :1)

 

PEC 04 (Compulsory Subjects :1)

 

PEC 04-LAB (Compulsory Subjects :1)

 

Open Elective-2

 

 

 

 

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