Foundation in Computing and Engineering
- Key Information
Course Name:
Foundation in Computing and Engineering
University Name:
University Malaysia of Computer Science & Engineering (UNIMY)
Campus:
Kuala Lumpur
Qualification:
Foundation
Duration:
1 years
Intake:
February, May, July, September
IELTS:
4.0
Study Mode:
On-campus
Study Type:
Full time study
Program Mode:
Coursework
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 16,900 |
Other Fees
| Description | Fee |
|---|---|
| Facilities Fee (Yearly) | MYR 3,000 |
| Visa and Insurance | MYR 1,000 |
Campus
Kuala Lumpur
Qualification
Foundation
Duration
1 years
Intake
February, May, July, September
IELTS
4.0
Study Mode
On-campus
Study Type
Full time study
Program Mode
Coursework
Are you interested to apply for
University Malaysia of Computer Science & Engineering (UNIMY)?
Course Fee for International Students
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 16,900 |
Other Fees
| Description | Fee |
|---|---|
| Facilities Fee (Yearly) | MYR 3,000 |
| Visa and Insurance | MYR 1,000 |
Course Overview
The Foundation in Computing & Engineering (FCE) offers a sophisticated pedagogical framework designed to ground scholars in the foundational tenets and transformative methodologies of computational logic and engineering principles. As an intensive pre-university pathway, this program facilitates a transition from secondary education to undergraduate proficiency by synthesizing rigorous theoretical inquiry with applied technical literacy, ensuring that candidates can navigate the systemic complexities of advanced degree programs in computer science, software engineering, and digital systems. The curriculum is strategically structured to provide a comprehensive mastery of critical academic pillars: Computational Logic and Problem-Solving: Cultivating the analytical capacity to understand core principles of computing, providing the prerequisite cognitive tools for software and hardware architecture. Engineering Foundations and Mathematical Rigor: Developing the expertise required to apply fundamental engineering concepts and mathematical modeling to real-world scenarios, preparing students for the quantitative demands of professional engineering degrees. Multidisciplinary Integration: Establishing a thorough understanding of the intersection between computing, engineering, and business, fostering a holistic perspective on how technology drives modern organizational success. Undergraduate Readiness and Transition: Mastering the “hard skills” of academic reporting and laboratory practice, ensuring students possess the firm grasp of applications necessary to excel in high-stakes higher education environments. By integrating advanced preparatory expertise with a focus on core industrial principles, the program equips candidates with the scholastic competencies required for an immediate academic impact. Graduates emerge as prepared students ready for pivotal undergraduate studies in Cybersecurity, Artificial Intelligence, or Computer Engineering, possessing the prerequisite academic rigor to spearhead future technological innovation or pursue specialized careers in the global digital economy.
Curriculum
Programme Structure
| Semester | Module | Description & Learning Outcomes |
|---|---|---|
| Semester 1 | English 1 | Enhances language proficiency in reading, writing, listening, and speaking. Focuses on essays, reflective writing, and fundamental grammar. |
| Mathematics 1 | Covers Algebra and Trigonometry as a foundation for coding. Includes applying formulas, sketching graphs, and problem-solving. | |
| Introduction to Emerging Science & Technology | Explores the integration of science in IT and engineering across past, present, and future technological landscapes. | |
| Fundamentals of Physics | Introduces Mechanics (Kinematics, Dynamics, Energy), Optics (Light properties, Lenses), and Waves (Sound). | |
| Fundamentals of Computing | An introductory course covering business environment, management, leadership, marketing, and financial management. | |
| Semester 2 | Presentation Skills | Focuses on slide design, tone of voice, body language, and managing Q&A sessions for effective audience engagement. |
| Fundamentals of Probability & Statistics | Covers descriptive and inferential statistics, data representation, and basic probability concepts like conditional events. | |
| Creative Thinking | Equips students with techniques like mind-mapping and random association to enhance creative output and visual design. | |
| Semester 3 | English 2 | Advanced language skills with a specific emphasis on grammar for academic and technical writing. |
| Mathematics 2 | Covers Matrices and Calculus, including limits, differentiation, integration, and first/second-order differential equations. | |
| Fundamentals of Logic & Electricity | Introduction to basic electric circuits, electronic components, and the principles of logic gates. | |
| Introduction to Programming | Basics of software development using selections, loops, functions, arrays, and GUI programming. | |
| Fundamentals of Business Management | Explores core management topics including operations, human resources, and information systems. |
Field of Research
N/A