Diploma in Computer Science
Kuala Lumpur, Malaysia
DURATION
30 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
May 2024
TUITION FEES
MYR 23,400 / per course *
STUDY FORMAT
On-Campus
* international students
Scholarships
Explore scholarship opportunities to help fund your studies
Introduction
Moving into the age of digitalisation and technology-led evolution, the demand for great talents with digital literacy in the field such as Computer Science (CS) has been steadily increasing to meet the Fourth Industrial Revolution (IR 4.0).
The Diploma in Computer Science programme is designed to equip students with broad-based knowledge and future-oriented skills such as Data Science, Cloud Computing, Machine Learning and Programming. These tech disruptive skills are highly sought after by companies not just in the tech industry but also many others worldwide.
Upon completion of this programme, students can join the workforce, become technopreneurs or further their studies at our partner universities in various fields of specialisation such as Software Engineering and Data Science.
Partners of MCKL
MCKL has partnered with multiple industry-leading experts to ensure students are able to obtain industrial training as part of their programme of study. Through our industry partners, students are given the opportunity to take on real-world projects which enable them to gain valuable insights and working experience in their respective fields. Students will also obtain digital literacy, specialised knowledge and work skills to be future-ready for Industrial Revolution 4.0.
Why MCKL
Specialize in Data Science
What is Data Science and why study it? Data science is an interdisciplinary study of computer science, mathematics and statistics. This specialisation provides students with the skills to be able to manipulate vast amounts of data, make sense of complex metrics and interpret them into insights to help turn data into business assets for decision making. The application areas for data science are very broad, ranging from business to healthcare, security, logistics and energy.
Compulsory Industrial
Taking on a 12-week industrial training in the final semester provides students with real-life working experience and a seamless transition to employment. MCKL is currently partnered with a range of industry-leading organisations to provide students with the best learning opportunities.
Future-oriented Curriculum
Our programme ensures that students are future-proof for the workforce by equipping them with industry relevant and in-demand skills. Get exposure to Big Data Architecture, Cloud Computing and Machine Learning.
Entrepreneurship Driven
In this era of technological advancement, a new form of entrepreneurship has emerged where the usage of technology is essential in converting ideas into innovative businesses. Build a solid foundation as a Technopreneur through the study of Innovation, Entrepreneurship and Digital Business at MCKL.
Industry Certification
Digital transformation has evolved the workplace to be technology reliant, and in today’s competitive environment, companies highly value digital skills. At MCKL, students can obtain International Certification of Digital Literacy (ICDL) for various IR 4.0 skills set throughout the programme. This certification will enable students to showcase their digital literacy and technical skills to future employers.
Students who graduate from MCKL’s digital programmes can also be certified by the AWS Academy as a Cloud Practitioner. This certification helps prospective employers identify talents who possess critical knowledge related to implementing cloud initiatives and foundational AWS knowledge. Graduating with these industry certifications will set students apart from peers in the competitive workforce, alongside their Computer Science diploma.
Integrated Professional Certification
SAS, a worldwide leader in analytics software, provides students access to valuable resources and further develop skills for a competitive advantage in the job market. Students will be awarded the SAS Academic Specialization upon completion of this programme. This certification can be added onto career platforms such as the student’s CV, LinkedIn, and Facebook to validate the student’s experience and expertise in using SAS software.
Gallery
Curriculum
Year 1
- Information Technology and Computer Science
- Computer Organisation and Architecture
- Fundamentals of Databases
- Data Communication and Networking
- Discrete Mathematics
- Calculus and Algebra
- Programming with Python
- Programming with R
- System Analysis & Design
- Design Thinking
- Human Computer Interaction
- Statistics**
- MPU I*
- MPU II*
- MPU III*
Year 2
- Fundamentals of Data Science**
- Introduction to Data Mining**
- Big Data Architecture
- Cloud Computing for Big Data Analytics
- Machine Learning**
- Project Management
- Data Processing and Visualisation**
- Introduction to Data Governance
- Data Structure and Algorithms
- Capstone Project
- MPU IV*
- Elective I
- Elective II
- Elective III
Year 3
- Industrial Training
** Uses SAS content and software.
Elective Courses – choose 3 only
- Fundamentals of Innovation and Entrepreneurship
- Digital Business
- Mobile Computing
- Web Computing
- Fundamentals of Software Engineering
*Mata Pelajaran Pengajian Umum (MPU) Subjects:
- Pengajian Malaysia 2
- Information Literacy
- Character Formation
- Service Learning
- Bahasa Kebangsaan A
- For local students who do not have credit in SPM BM
- Bahasa Melayu Komunikasi 1
- For international students
NOTE: *MPU Subjects: The Ministry of Education (MOE) requires all students to take Mata Pelajaran Umum (MPU) (i.e. General Studies) within the duration of their studies. MCKL established a series of subjects that different programmes need to implement for all students to meet the Ministry’s requirements. Subjects will differ depending on the institution and the level of studies the student is taking.
Program Tuition Fee
Career Opportunities
- Applications Developer
- Programmer
- Software Engineer
- Software Architect
- Software Developer
- Systems Analyst
- Research Analyst
- Systems Developer
- Technical Support Engineer
- IT Analyst
- Network Engineer
- Database Administrator
- Data Analyst
- Data Engineer