OVERVIEW
B.Tech. in Computer Science and Engineering (Robotics & AI) is a cutting-edge undergraduate programme designed to equip students with the knowledge, skills, and expertise required to excel in the rapidly evolving fields of AI, robotics, and automation. This programme integrates the core principles of computer science with advanced topics in AI, machine learning, robotics, and IoT, preparing students to design, develop, and implement intelligent systems and robotic solutions for real-world challenges. With a strong focus on hands-on learning, students engage in real-world projects, industry internships, and AI-driven research, ensuring they gain practical experience in developing autonomous systems. To support practical learning, the school provides access to state-of-the-art computer laboratories, designed to offer hands-on experience in relevant technologies.
Programme Highlights
Discovering the Foundation of
AI & Robotics Innovation
The curriculum of B.Tech. in Computer Science and Engineering (Robotics & AI) is structured to provide a solid foundation in core computer science disciplines while offering specialised courses in AI, robotics, and emerging technologies. Students will gain expertise in areas such as machine learning, computer vision, embedded systems, IoT, and Industry 4.0, along with practical experience through projects, internships, and certifications. The B.Tech. in Computer Science and Engineering (Robotics & AI) also fosters innovation, research, and entrepreneurial thinking, enabling students to create impactful solutions and contribute to the advancement of technology.
Programme Structure
- Engineering Mathematics - I
- Engineering Physics / Engineering Chemistry
- Engineering Drawing & Workshop / Digital Logic Design
- Programming for Problem Solving (with Python)
- Computational Tools and Career Foundations
- Value-Added Course
Environmental Studies & Disaster Management
- Principles of Innovation and Entrepreneurial Thinking
- Discrete Mathematics
- Data Structures Using C++
- Object-Oriented Programming with Java
- Specialization Course-I
- Fundamentals of Robotics & Automation
- Open Elective
- Value Added Course
- Verbal Ability
- Summer Internship-I
- Competitive Coding - I
- Community Service
- Analysis and Design of Algorithms
- Introduction to Database Management Systems
- Specialization Course-II
- Robotics in Industry 4.0
- Discipline Specific Elective-I
- Open Elective
- Communication & Personality Development
- Minor Project-II
- Competitive Coding - II
- Club/Society
- Theory of Computation
- Operating Systems
- Specialization Course-III
- IoT Foundations
- Specialization Course-IV
- Deep dive of Sensors & Embedded Systems in Robotics
- Nand to Tetris
- Arithmetic and Reasoning Skills
- Summer Internship-II
- Competitive Coding - III
- Microprocessors and Computer Architecture
- Discipline Specific Elective-II
- Computer Networks
- Specialization Course- V
- Programming for Robotics
- Specialization Course- VI
- Computer Vision with Embedded Machine Learning
- Minor Project-III
- Competitive Coding - IV
- MOOC (Swayam/ NPTEL/AICTE’s ELIS )
Specialization Course- VII
- Real world Applications of Roboticsn
Discipline Specific Elective-III
Discipline Specific Elective-IV
Research Tools for Data Analysis and Visualization
Summer Internship-III
Applied Programming and Problem-Solving Skills for Campus Interviews
Industry/Research Internship (Full Semester)
Major Project (Industry Track/Research Track)
Connecting Talent to Dream Careers
K.R. Mangalam University has collaborated with various top industry giants like Infosys, Wipro, TCS, Accenture, Genpact, etc., offering students a platform to secure good internships and placements. Graduates embark on rewarding careers in various roles, reflecting the university’s commitment to producing industry-ready professionals who excel in the competitive global market.
Career Options
Programme Outcomes
Core Competencies in Engineering:
Graduates will possess a strong foundation in engineering knowledge, critical problem analysis, and solution design, equipped with skills for conducting thorough investigations to solve complex challenges.
01
Modern tool usage:
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
02
Societal and Environmental Responsibility:
Apply contextual knowledge to evaluate societal, health, safety, legal, and cultural issues, while understanding the impact of engineering solutions on the environment and advocating for sustainable development.
03
Ethics:
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
04
Effective Communication and Team Collaboration:
Excel in both individual and team roles within diverse and multidisciplinary settings, while communicating complex engineering concepts clearly through effective reports, presentations, and interactions.
05
Project Management:
Apply engineering and management principles to lead and manage projects effectively in computer science and engineering contexts.
06
Life-long Learning:
Embrace and actively pursue continuous learning to stay current with technological advancements and evolving practices in computer science and engineering.
07
hands-on learning, industry-relevant skills, and global certifications to prepare students for cutting-edge careers in AI, robotics, and related fields.
01
Equipping students with technical expertise in AI, robotics, and computer science.
02
Enabling students to design, develop, and implement AI-driven robotic systems for real-world applications.
03
Providing global certifications from IBM and Microsoft to enhance employability and industry readiness.
04
Fostering innovation, research, and entrepreneurial thinking in AI and robotics.
05
Apply Laboratory Skills
Demonstrate proficiency in laboratory techniques to meet the career demands of Industrial Robotics.
01
Technical Expertise
Become trained in the laboratory skills of Robotics and Automation, enabling them to design, develop, and implement robotic systems.
02
Research and Development
Be equipped to work with R&D organizations, contributing to innovation and technological advancements in robotics and automation.
03
Financial Assistance
K.R. Mangalam University partnered with the leading banks to help you to finance your dream course through Education Loan. You only have to start repaying one year after finishing your course or six months after you get a job.
Sponsored
MBA Degree
100% Sponsored MBA for Outstanding Undergraduates
KRMU takes pride in nurturing the leaders of tomorrow. To honor and encourage academic excellence, we offer a distinctive sponsorship scheme: Exceptional undergraduates have the opportunity to pursue an MBA at KRMU with 100% sponsorship. This initiative is our commitment to investing in the bright minds that have demonstrated remarkable academic achievements during their undergraduate studies.
Embark on an MBA journey without financial constraints and unlock your full potential. At KRMU, we provide more than just an education; we offer a pathway to excellence and success in the business world. Seize this opportunity to transform your academic prowess into a thriving career.
Frequently Asked Questions
Commence Your Journey
in 6 Simple Steps
Complete payment and submit
Pay the required Application Fee
Take an entrance test
K.R. Mangalam University Entrance Examination (KREE)
Appear for interaction
Attend our Faculty-Led Interview.
Get the admission offer
You will receive the offer letter after the successful interaction
Get Enroled
Be prepared to embark on your journey