Diploma in Computer Science (Data Science)

APPROVAL CODE

• KPT/JPS(N/481/4/0825)(MQA/PA14018)12/27
INTAKE

•May & August 2021
COURSE MODE

• Full Time
COURSE DURATION

•2.5 years

APPLY NOW

As the world elevates to the era of Fourth Industrial Revolution (IR4.0), it has created a great demand for talents in the Computer Science (CS) and related industries.

This programme is designed to equip students with broad-based knowledge and future-oriented skills, such as Data Science, Cloud Computing and Machine Learning. These Tech Disruptive Skills are highly sought after by the industry.

Upon completion of this programme, students can join the workforce, become technopreneurs or further their studies at our partner universities in any field of specialisation, such as Software Engineering and Data Science.

Entry Requirements
Subjects Offered
Course Fees
Pathway
Career Opportunity
Why @ MCKL

Sijil Pelajaran Malaysia (SPM)
Min. 3 credits including Mathematics and a pass in Bahasa Melayu and Sejarah (History)

O-Levels / IGCSE
Min. 3 credits including Mathematics

Unified Examination Certificate (UEC)
Min. 3Bs including Mathematics

Other Qualifications
Other equivalent qualifications recognised by the Ministry of Higher Education (MOHE) or Malaysian Government will be considered on a case-by-case basis

Note:
*Students without a credit in Mathematics at SPM level or its equivalent may be admitted if the Certificate programme contains subjects in Mathematics that are equivalent to Mathematics at SPM level.
*Students with a credit in computing related subjects at SPM level or its equivalent may be given preferential consideration.

Year 1	Year 2	Year 3
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*	Fundamentals of Data Science Introduction to Data Mining Big Data Architecture Cloud Computing for Big Data Analytics Machine Learning Project Management Data Processing and Visualization Introduction to Data Governance Data Structure and Algorithms Capstone Project MPU IV* Elective I Elective II Elective III	Industrial Training
Elective Courses – Choose 3 only Fundamentals of Innovation and Entrepreneurship Digital Business Mobile Computing Web Computing Fundamentals of Software Engineering
MPU Subjects: Pengajian Malaysia Communication Skills Moral Studies Service Learning Bahasa Kebangsaan A - For local students who do not have credit in SPM BM* Bahasa Melayu Komunikasi 1 - For international students

*MPU Subjects: The Ministry of Higher Education (MOHE) 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 of the student.

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

Specialise in Data Science
An interdisciplinary study of computer science, mathematics & statistics to harness vital information from big data for decision making.
Future-oriented Curriculum
Exposure to Big Data Architecture, Cloud Computing and Machine Learning.
Compulsory Industrial Training
12-week industrial training in the final semester provides real-life working experience and seamless transition to employment.
Entrepreneurship Driven
Build foundation as a Technopreneur through studies of Innovation, Entrepreneurship and Digital Business.
Industry Certification
Students can obtain International Certification of Digital Literacy (ICDL) for various IR4.0 skills set, as well as be certified by AWS Academy as a Cloud Practitioner.