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- Master in Computer Science (ODL)
Master in Computer Science (ODL)
- IPS/UniKL MIIT
- (N-DL/0613/7/0020) (01/29) (MQA/PSA17374)
Program Learning Outcomes
Programme Overview
Programme Educational Objectives (PEO)
- PEO1: Computing specialists who have advanced knowledge, applying enhanced technical and numeracy skills and focusing on the specific domains in the field of study to provide innovative solutions in computing.
- PEO2: Computing specialists who have leadership skills and good interpersonal and communication skills to interact with stakeholders effectively.
- PEO3: Computing specialists who engage and advocate lifelong learning activities and have an entrepreneurial mindset.
- PEO4: Computing specialists who uphold and defend ethical conduct, professional practices, and issues in maintaining integrity.
Programme Learning Outcomes (PLO)
- PLO1: Integrate advanced knowledge related to research issues in computing.
- PLO2: Recommend innovative solutions that are at the forefront of developments in the fields of study.
- PLO3: Construct computing solutions and tools in terms of their usability, efficiency and effectiveness.
- PLO4: Demonstrate effective interaction within a group and with a diverse audience through project discussions and participation in discourses related to the field of study.
- PLO5: Exhibit effective communication within a group and with a diverse audience by publishing and presenting technical materials in the field of study.
- PLO6: Utilize digital skills to acquire, interpret and extend knowledge in computing.
- PLO7: Apply numerical skills to acquire, interpret and extend knowledge in computing.
- PLO8: Demonstrate leadership, teamwork, autonomy and responsibility in delivering services related to the field of study.
- PLO9: Exhibit capabilities to extend relevant knowledge through life-long learning.
- PLO10: Exhibit capabilities of having an entrepreneurial mindset to the related field of study.
- PLO11: Uphold professional and ethical practices in conducting research and delivering services related to the field of study.
Programme Structure
Programme Structure by Semester.
Semester 1
- Advanced Computer Science
- Algorithm Complexity Analysis
- Innovation Technology and Entrepreneurship
Semester 2
- Research Methodology
- Focus Area (1)*
- Focus Area (2)*
- Master’s Degree Dissertation 1
Focus Area
Software Engineering
- Software Requirement and Design
- Software Quality and Testing
System Networking
- Mobile Computing
- Advanced Networking
Artificial Intelligence
- Artificial Intelligence and Pattern Recognition
- Advanced Machine Learning
Information Security
- Cyber Security Data Analysis and Visualizations
- Information Security Management
Data Science
- Probability and Statistics for Data Science
- Big Data Architecture
Career Information
- Software Engineering Software Engineer/Developer, Software Architect, Full-stack Developer, Front-end Developer, Back-end Developer, DevOps Engineer
- System and Networking Network Engineer, Systems Administrator, Cloud Solutions Architect, DevOps Engineer, IT Infrastructure Manager, Network Security Engineer
- Information Security Cybersecurity Analyst, Security Consultant, Penetration Tester/Ethical Hacker, Security Architect, Incident Responder, Cryptographer
- Artificial Intelligence Machine Learning Engineer, AI Research Scientist, Natural Language Processing (NLP) Engineer, Computer Vision Engineer, Robotics Engineer, AI Product Manager
- Data Science Data Scientist, Data Analyst, Data Engineer, Business Intelligence Analyst, Machine Learning Engineer, Data Science Manager
- A Bachelor’s degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.75 or equivalent, as accepted by the UniKL Senate; OR
- A Bachelor’s degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.00 and not meeting a CGPA of 2.75 can be accepted subject to a thorough rigorous assessment as determined by the UniKL; OR
- A Bachelor’s degree (Level 6, MQF) in Non-Computing field with a minimum CGPA of 2.50 can be accepted subject to a thorough rigorous assessment as determined by the HEP to identify the appropriate prerequisite courses that equivalent to their working experience in the Computing or related fields; OR
- A Bachelor’s degree (Level 6, MQF) in Non-Computing fields with a minimum CGPA of 2.50 can be accepted subject to appropriate prerequisite courses; OR
- Other qualifications equivalent to a Bachelor’s degree (Level 6, MQF) in Computing or related fields recognised by the Government of Malaysian must fulfill the requirement on item i or ii.
- For English requirements is as follows IELTS 6.0 OR TOEFL 600 OR its equivalent
Fee: Local Students:
RM 18,580.00 (Total Tuition Fee)
International Students:RM 27,090.00 (Total Tuition Fee)
* Fees shown are the tuition fees only
** Fees shown are not inclusive of visa processing fee (international students)
*** Fees and charges are subject to Malaysian Sales and Service Tax (SST) at the prevailing rate of 6%. SST implementation.
**** Fees shown are correct at time of publication and subject to change without prior notice.
Demonstrate an understanding of how communication shapes patterns of social interaction, the expression of cultural values and norms, political practices and relations of power, and our positions as local and global citizens.
Be able to use a variety of methodological tools to analyze interpersonal, intercultural, and rhetorical discourse that structures everyday interactions in both our public and private lives.
Demonstrate an understanding of the possibilities, problems, and history of discourse and deliberation in democracy and will be prepared to use their knowledge to work for a just and more humane world.
Programme
| Semester 1 | Credits | Number |
|---|---|---|
| Rhetoric & the Public Sphere | 4 | ESTU 203 |
| Communication & Everyday Life | 2 | ESTU 340 |
| Critical & Rhetorical Methods | 4 | ESTU 657 |
| Semester 2 | Credits | Number |
|---|---|---|
| Relational Communication | 4 | ESTU 768 |
| Public Relations Campaigns | 4 | ESTU 432 |
| Rhetoric of Social Movements | 2 | ESTU 873 |
Contact us
UNIVERSITI KUALA LUMPUR
KAMPUS CAWANGAN BRITISH MALAYSIAN INSTITUTE (UniKL BMI)
Batu 8 Jalan Sungai Pusu, 53100 Gombak, Selangor.
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