Associate Degree Program
Robotics and Intelligent Systems
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Introduction
The Associate Degree Program (ADP) in Robotics and Intelligent Systems is a structured two-year undergraduate program designed to equip students with fundamental technical skills and applied knowledge required for entry-level roles in robotics, automation, and intelligent technologies.
The program focuses on hands-on learning and industry-relevant competencies, enabling students to understand, design, and operate robotic and intelligent systems used in modern industrial, healthcare, and service applications. Graduates of the program will be prepared to:
- Understand the basic principles of robotics, automation, and intelligent systems.
- Apply programming, electronics, and control concepts to develop and operate robotic systems.
- Work with sensors, actuators, microcontrollers, and embedded systems used in intelligent machines.
- Assist in the installation, testing, maintenance, and troubleshooting of robotic and automated systems.
- Collaborate effectively with engineers and technicians in multidisciplinary technical environments.
This ADP program emphasizes practical skills and applied learning, preparing graduates for immediate employment in technical and support roles within robotics, automation, manufacturing, and intelligent systems industries. It also provides a pathway for further academic progression into a Bachelor’s degree in Robotics, Mechatronics, or related engineering disciplines.
About Program
Internship and Career Prospects
- AI & Machine Learning firms
- Data science & analytics companies
- Cybersecurity companies
- Mobile & web development firms
- Power generation & distribution companies (WAPDA, NTDC, KE, LESCO, etc.)
- Electronics manufacturing firms
- Telecom equipment companies
- Roles: Electrical intern, electronics intern, maintenance intern
- Automotive industry (Toyota, Honda, Suzuki, Kia, etc.)
- Heavy engineering complexes (HMC, DESCON)
- CNC machining & fabrication units
- Rehabilitation & prosthetics companies
- Medical device companies
Eligibility Criteria
- Sc (Pre-Engineering / Pre-Medical / ICS), A-Levels or equivalent qualification recognized by HEC.
- Equivalent qualifications must be validated (e.g., by IBCC for foreign certificates).
- Minimum 45% marks at Intermediate level (F.Sc Pre-Engineering, Pre-Medical, ICS, DAE / A-Level or equivalent). No third division in Matriculation.
- Minimum 50% marks in admission test (conducted by a HEC-approved testing body/university).
Scheme of Study (Semester Wise)
1st Year
I
| Course Code | Course Title | Theory | Lab | Credit Hours | Pre-requisite |
| MTH 100 | Basic Mathematics | 3 NC | 0 | 3 | N. A. |
| PHC 101 | Applied Physics | 2 | 1 | 3 | N. A. |
| IST 101 | Islamic Studies/Ethical Behaviors | 2 | 0 | 2 | N. A. |
| ENG 104 | Functional English | 3 | 0 | 3 | N. A. |
| RIS 102 | Introduction to Information & Communication Technologies | 2 | 1 | 3 | N. A. |
| ELE 101 | Basic Electrical & Electronics Engineering | 3 | 1 | 4 | N. A. |
| RIS 101 | Engineering Workshop | 0 | 1 | 1 | N. A. |
| RIS xxx | Introduction to Robotics | 2 | 1 | 3 | N. A. |
| Total Semester Credit Hours | 14 | 5 | 19 | ||
II
| Course Code | Course Title | Theory | Lab | Credit Hours | Pre-requisite |
| ENG 402 | Expository Writing | 3 | 0 | 3 | N. A. |
| PST 101 | Pakistan Studies | 2 | 0 | 2 | N. A. |
| MTH103 | Calculus & Analytical Geometry | 3 | 0 | 3 | MTH101 |
| IST 103 | Fehm-e-Quran – I | 1 | 0 | 1 | N. A. |
| RIS 104 | Object Oriented Programming | 3 | 1 | 4 | RIS 102 |
| ELE 302 | Signals & Systems | 3 | 1 | 4 | ELE 101 |
| Total Semester Credit Hours | 15 | 2 | 17 | ||
2nd Year
III
| Course Code | Course Title | Theory | Lab | Credit Hours | Pre-requisite |
| MTH201 | Linear Algebra & Differential Equation | 3 | 0 | 3 | MTH103 |
| LAN 304 | Foreign Language | 2 | 0 | 2 | N. A. |
| PST 102 | Ideology & Constitution of Pakistan | 2 | 0 | 2 | PST 101 |
| IST xxx | Fehm-e-Quran – II | 1 | 0 | 1 | N. A. |
| RIS 242 | Robotic System & Programming | 2 | 1 | 3 | N. A. |
| RIS 332 | Artificial Intelligence | 2 | 1 | 3 | N.A |
| RIS xxx | Embedded System | 2 | 1 | 3 | N.A |
| RIS xxx | Project – I | 0 | 1 | 1 | |
| Total Semester Credit Hours | 14 | 4 | 18 | ||
IV
| Course Code | Course Title | Theory | Lab | Credit Hours | Pre-requisite |
| HUS 208 | Civics and Community Engagement | 2 | 0 | 2 | N. A. |
| MGT 401 | Entrepreneurship | 2 | 0 | 2 | N. A. |
| MGT 409 | Principles of Management and Economics | 2 | 0 | 2 | N. A. |
| RIS 343 | Robot Modelling & Control | 2 | 1 | 3 | N. A. |
| RIS 451 | Computer Vision | 3 | 1 | 4 | N. A. |
| RIS 445 | Industrial Automation | 2 | 1 | 3 | N. A. |
| XXX xxx | Elective | 3 | 0 | 3 | N. A. |
| RIS xxx | Final Year Design Project – II | 0 | 2 | 2 | N.A |
| Total Semester Credit Hours | 16 | 5 | 21 | ||
