Bachelor in Robotics and AI Automation Engineering
The Bachelor of Science in Robotics & Artificial Intelligence Automation Engineering is designed to provide students with strong theoretical foundations and practical engineering skills in robotics, artificial intelligence, automation, and intelligent systems. This program prepares students to design, develop, and manage advanced technologies that drive the future of industry, smart systems, and digital innovation
Program Overview
This internationally aligned degree program combines engineering, computer science, artificial intelligence, automation, embedded systems, machine learning, computer vision, and autonomous technologies. Students gain hands-on experience through laboratories, projects, internships, and industry-oriented training while developing the technical and analytical skills required to solve real-world engineering challenges.
- Bachelor’s Degree Program
- Duration: 4 Years
- Semesters: 8
- Subjects per Semester: 5-6
- Total Credit: 140
- Tuition Fee Per Month: Male - 1200 Afg, Female - 800 Afg
Teaching & Learning Method
Live Online Lectures
Recorded Video Lessons
Interactive Learning Activities
Assessment and Feedback
Project-Based Learning
Curriculum
Semester 1
- RAE101: Calculus I(4 Credits)
- RAE102: Engineering Physics(4 Credits)
- RAE103: Introduction to Programming (Python) (3 Credits)
- RAE104: Computer Fundamentals (3 Credits)
- RAE105:Communication Skills(3 Credits)
Semester 2
- RAE201: Calculus II(4 Credits)
- RAE202: Basic Electrical & Electronics(3 Credits)
- RAE203: Linear Algebra(4 Credits)
- RAE204: Introductionto Robotics(3 Credits)
- RAE205: Probability & Statistics(3 Credits)
- RAE206: Engineering Drawing & CAD(2 Credits)
Semester 3
- RAE301: Data Structures & Algorithms (4 Credits)
- RAE302: Digital Electronics(3 Credits)
- RAE303: Sensors & Actuator(3 Credits)
- RAE304: Differential Equations(4 Credits)
- RAE305: Control Systems(3 Credits)
- RAE306: Computer Organization & Architecture (3 Credits)
Semester 4
- RAE401: Embedded Systems (3 Credits)
- RAE402: Machine Learning(Introduction) (3 Credits)
- RAE403:Robotics Programming(3 Credits)
- RAE404: Internet of Things(3 Credits)
- RAE405: Engineering Mechanics (4 Credits)
- RAE406: Digital Signal Processing (3 Credits)
Semester 5
- RAE501: Artificial Intelligence (4 Credits)
- RAE502: Robot Kinematics (4 Credits)
- RAE503: Computer Vision(3 Credits)
- RAE504: Industrial Automation (PLC) (3 Credits)
- RAE505: Wireless Communication & Networking (2 Credits)
- RAE506: Internship I (2 Credits)
Semester 6
- RAE601: Deep Learning (3 Credits)
- RAE602: Robot Operating System (ROS) (3 Credits)
- RAE603: Autonomous Systems (3 Credits)
- RAE604: Data Science for Robotics (3 Credits)
- RAE605: Robot Dynamics & Trajectory Planning (3 Credits)
- RAE606 Project I (2 Credits)
Semester 7
- RAE701: Reinforcement Learning(3 Credits)
- RAE702: Human–Robot Interaction(HRI) (3 Credits)
- RAE703: Drone Technology (UAV Systems)(3 Credits)
- RAE704: Research Methodology(3 Credits)
- RAE705: Advanced Control Systems & Optimization (3 Credits)
- RAE706 Internship II (3 Credits)
Semester 8
- RAE801: Final Year Project(Capstone Engineering Project) (8 Credits)
- RAE802: AI Ethics & Cybersecurity (2 Credits)
- RAE803: Entrepreneurship & Innovation (2 Credits)
- RAE804: Industrial Training & Viva (2 Credits)
- RAE805: Technical Seminar & Publication(1 Credit)
Career Opportunities
Robotics Engineer
Design and develop intelligent robotic systems for industrial, healthcare, agricultural, and service applications.
Artificial Intelligence & Machine Learning Engineer
Build AI-powered solutions, intelligent software, and data-driven systems using modern machine learning technologies.
Automation & Embedded Systems Engineer
Develop automated control systems, smart devices, and embedded solutions for industrial and technological environments.
Research, Innovation & Entrepreneurship
Work in research centers, technology organizations, startups, and innovation projects or continue higher education in Robotics, AI, and related engineering fields.
Further Education & Specialization
Graduates may pursue Master’s and PhD studies in Robotics, Artificial Intelligence, Automation Engineering, Data Science, and related disciplines.