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Diploma in Computer Science
About
This programme has been created in response to the industry’s demand for graduates with the knowledge and technical skills to analyse, develop, create, and operate data for representation and communication. This programme provides students with the knowledge and practical experiences in using current generation tools and techniques, allowing students to familiarise with the issues involved in network implementation and management, and to equip students with the skills to handle the demands of distributed enterprise application development for progression into or within their employment.
Students will also be supported in developing personal and professional skills, enabling graduates to communicate effectively and make a positive contribution in the workplace across a variety of roles within the organisation.
About SAS Institute
SAS is the leader in analytics. It began at North Carolina State University as a project to analyse agricultural research. Demand for such software capabilities began to grow, and SAS was founded in 1976 to help customers in all sorts of industries – from pharmaceutical companies and banks to academic and government entities. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.
Key facts
| Qualification | Bachelor's Degree |
| Study mode | Full-time |
| Duration | 3 years |
| Intakes | January, June, September |
| Tuition (Local students) | $ 7,842 |
| Tuition (Foreign students) | $ 12,071 |
Subjects
-
Computer Science
Duration
3 years
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | $ 7,842 | $ 12,071 |
| Miscellaneous fees | Data not available | Data not available |
| Total estimated cost of attendance | $ 7,842 | $ 12,071 |
| Estimated cost per year | $ 2,614 | $ 4,023 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Admissions
Intakes
Entry Requirements
SPM / O-Level or equivalent with 3 credits
UEC with 3 credits
Related SKM Level 3
Related Certificate or equivalent
MQA-APEL T4
Additional Requirements
Credit in Maths at SPM / O-Level or equivalent
Curriculum
Year 1
Mathematics for Computing
General Language Training
Computer Application
Database Management System
Bahasa Melayu Komunikasi 1 (International students)
Malaysian Studies 2 (Local students)
Programming Methodology
Academic English
Information Technology
Statistics
Growth Mindset / Bahasa Kebangsaan A*
Entrepreneurship
Big Data Technology and Management
Principles of E-Commerce
Project Management
Year 2
Web Design and Development
Data Structure and Algorithm
Introduction to Python Programming Language
Data Communication and Networking
Systems Analysis and Design
Object-oriented Development
Systems Development
Computer Organisation
Software Engineering
Window Programming
Introduction to Artificial Intelligence
Data Science Methodology
Spark for Data Science
Operating System
Industry Revolution 4.0 in Malaysia
Year 3
Internship
Data Visualisation
Co-curriculum Management
Capstone Project for Data Science