Sign In

MSc in Applied Computing




Computer and Information Sciences department (CIS​​​), Universiti Teknologi PETRONAS is offering MSc in Applied Computing (MS​c-AC) from September 2020.  Msc AC aims to address computing skills shortages in the rapidly growing ICT industry, and to meet the growing demand for work-ready graduates in Malaysia and abroad. The MSc AC prepares and equips graduates with specialist knowledge and skills applicable to managing the use of technology and technology-driven innovations in business.

This master programme believes in providing education for the betterment of society and the programme aims to elevate computing professionals into computing specialist in supporting the national digital transformation agenda.​


Programme Objective


This programme's objectives are to produce computing specialist who:

  1. Apply advanced knowledge, understanding and technical skills of applied computing in providing services to various industries and the society
  2. Integrate values, attitudes, professionalism and social responsibilities in applied computing practices
  3. Alternately adapt the role as leaders and team members, communicate effectively and provide scientific solutions in solving complex applied computing issues and problems
  4. Innovatively practice continual career development through lifelong learning and effectively manage information and resources​


Programme Outcomes

At the end of the program, graduates should be able to:


  1. Apply advanced knowledge of applied computing to solve issues in the industry and society
  2. Design solutions and services for computing industry and society by coordinating multiple advanced applied computing skills
  3. Integrate social skills and responsibilities in applied computing practices for the well-being of society
  4. Adhere to positive values, ethics and accountability in societal and professional engagement
  5. Practice effective communication and adopt alternate roles as a leader or a member of diverse teams
  6. Construct effective solutions to applied computing issues and problems that meet the computing standards
  7. Manage computing information and seek new knowledge and skills independently
  8. Practice relevant and appropriate managerial and entrepreneurial skills​
Why you should join our MSc in Applied Computing
  • Students will be exposed to numerous opportunities to upskill the existing workforce from various disciplines to become Computing specialist since the Industry Revolution 4.0 (IR 4.0) is transforming of traditional jobs into digital led economy.​
  • This programme is to produce Computing specialists that can work in broad range of computing areas covering Emerging Technology, Big Data Analytics, Enterprise Resource Planning and E-Commerce.
  • The aim of the programme is to fill in the workforce gaps in various industries particularly in the area of Emerging Technology, Big Data Analytics, Project Management and Enterprise Resource Planning which provide the much-needed opportunity for the development of a high degree of specialization and critical experience as computer professionals
  • The programme offers an innovative curriculum involving two specializations – Big data Analytics and Enterprise Resource Planning
  • Students will gain benefit from the strong University-industry collaborations, where students will be able to apply the knowledge gain in the classroom and research to real industry projects.​​

​Course Duration and Offering

This course is available in Full-Time​.

Mode Minimum Duration Maximum Duration
Full-Time 12 months 36 months


  • 'On-demand tailored weekend programme'

​Special weekend classes can be arranged by the faculty to accommodate working professionals​.​



Entry Requirements


The entry level for admission to MSc in Applied Computing is shown as below:

  • Bachelor’s Degree in a relevant field from a recognised university with a minimum CGPA of 2.75 or its equivalent.
  • Bachelor’s Degree in a relevant field from a recognised university with a CGPA of 2.50 - 2.74 or its equivalent will require internal rigorous assessment
  • Bachelor’s Degree in a relevant field from a recognised university with a CGPA of 2.00 - 2.49 or its equivalent will require 5 years of working experience and internal rigorous assessment
  • Apply with your working experience. Candidates who satisfy APEL A requirements are eligible to enroll.
  • A minimum TOEFL score of 550 or equivalent
  • A minimum IELTS score of 6.0 or equivalent
  • Native English speakers or holding a degree with English as the medium of instruction may be exempted from this requirement

Fee Structure
Programme Curriculum Structure         
​Course Name Credit Hours​
​IT Project Management ​3
​Digital Innovation and Transformation ​3
Emerging Technology 3​
​Digital and Knowledge Economy 3
​​Core Specialization I
Credit Hours 15

​Course Name Credit Hours​
Research Method in IT 3
IT Governance, Risk and Compliance 3
Information System Strategic Planning 3
​Core Specialisation II 3
​​​Core ​Specialisation II​I
Credit Hours 15​
​Course Name Credit Hours​
MSc Project 10
Credit Hours

Core Specialisation 

Big Data Analytics ​
​Course Name Credit Hours​
​Machine Learning Analytics
​Real Time Analytics
​Digital Analytics​
Credit Hours 9

Enterprise Resource Planning​
​Course Name Credit Hours​
Business Intelligence
​Business Process Re-Engineering
​Enterprise System Architecture
Credit Hours 9​

Programme Module Synopsis

Core Module

Module: IT Project Management 
No of Credits: 3
This course provides a comprehensive view of the ten project management knowledge areas and also the five project management process groups, following the PMBOK® Guide. The course build on the PMBOK® Guide, an American National Standard, provides a solid framework and context for managing information technology projects. To better equip students for this environment, the course will include a team project, in which students will learn how to successfully plan, manage and deliver projects. Students will also learn how to implement project management processes, develop leadership skills and respond to real-world scenarios. All activities in this course are targeted towards exploring a variety of problems and issues in managing projects, addressing both the technical and social or human sides of the field.
Module: Emerging Technology​​
No of Credits: 3
This course is designed to expose students to some emerging trends in Information Technology and their applications. This course is taught through lecture and interactive discussion. Throughout this course, learned skills are practiced using team exercise, case studies and projects.
Module: Digital and Knowledge Economy
No of Credits: 3
The Eleventh Malaysia Plan regarded ICT as an important enabler for the knowledge economy to sustain in this era of digital revolution. The digital revolution is inevitable. A nation must embrace this revolution for it to be competitive and appeal to foreign investors. This course focuses on the industries, business practices, and policy issues associated with the digital industry. This course provides a mixture of theoretical and empirical works that are central to understanding the digital economy. The content of this course covers the fundamentals of digital and knowledge economy, infrastructure, standards, platforms and application tools, the impact of digital and knowledge economy on society and the nation and last the threats in the new digital environment. Lastly, this course hopes to inspire the learners to venture into technological businesses that could contribute to the nation's digital and knowledge economy thus benefitting society.
Module: IT Governance, Risk and Compliance
No of Credits: 3
This course is designed to apply IT governance, risk and compliance (GRC) approach and manage the associated activities coherently in order to achieve efficient IT environment as well as to ensure accountability. The intention is to obtain an optimal investment and to ensure that critical IT resources are responsibly, effectively and efficiently managed and used. The topics covered in this course include understanding governance, risk and compliance; ethics, integrity and organizational culture; understanding the complete regulatory environment; using corporate governance to enhance organization’s performance; managing regulatory risk for the benefit of the organization; the role of the compliance function; designing and building GRC systems and controls; protecting an organization from the risk of financial crime.
Module: Information System Strategic Planning
No of Credits: 3
This course reviews the concepts of information systems, organizational structures and models. It introduces students with current issues and development of information systems. It then goes on to deal with planning, control and evaluation of information systems.

Module: MSc Project
No of Credits: 10
The module allows each student to work independently on an industry-based project under the supervision of a faculty member and a supervisor from the industry. The student is expected to review the subject, propose an experimental / analytical plan and follow that through to feasibility study, investigation, design / simulation, test and implementation. Each student must prepare a comprehensive technical report (MSc thesis), present and demonstrate findings and results of the project work.
University Requirement

Module: Research Method in IT
No of Credits: 3
Series of seminars on topics related to research preparations: manage and plan research activities, think creatively, setup experimental/model for theory verification, prepare to commercialise research, prepare research report and communicate research output effectively.
Core Specialisation

Module: Machine Learning Analytics
No of Credits: 3
Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions. Machine learning brings together computer science and statistics to harness that predictive power. It’s a must-have skill for all aspiring data analysts and data scientists, or anyone else who wants to wrestle all that raw data into refined trends and predictions. This is a class that will teach you the end-to-end process of investigating data through a machine learning lens. It will teach you how to extract and identify useful features that best represent your data, a few of the most important machine learning algorithms, and how to evaluate the performance of your machine learning algorithms.
Module: Real Time Analytics
No of Credits: 3
This course introduces students to the principles, methodologies, applications and management of real time big data sets. Topics may include real time systems and technologies, big data basics, industry examples of big data, big data technologies, information management, business analytics, real time analytics, security, compliance, auditing and protection of big data, mobile marketplaces, mobile sites, mobile apps, mobile data tracking.
Module: Digital Analytics
No of Credits: 3
In this course we introduce the concept of digital analytics and explores its’ various major components such as web mining, web analytics, Data Visualisation and online Business Performance Measurement in detail. In particularly, we look at the process, contents and context of managerial decision making. This included on how the implementation of Digital Analytics can help in improving management decisions and discuss issues affecting the success of digital analytics.
Module: Business Intelligence
No of Credits: 3
In this course we introduces the concept of business intelligence and explores its’ various major components such as Data Warehousing, Business Analytics and Data Visualisation, Data Mining and Business Performance Management in detail. In particularly, we look at the process, contents and context of managerial decision making. This included on how the implementation of Business Intelligence can help in improving management decision-support effectiveness and discuss issues affecting the success of Business Intelligence.
Module: Business Process Re-Engineering
No of Credits: 3
This course will introduce the aims and scope of learning Business Process Re-engineering (BPR) and also include the basic principles for analysing and improving business methods, procedures and systems in the business organizations. It covers the methodologies and the know-how of business re-engineering. Best practices of BPR from case studies are also introduced.
Module: Enterprise System Architecture
No of Credits: 3
This course builds upon basic programming skill and develops students further, both theoretically and practically, in a commercial direction. It gives students experience in using third and fourth generation languages, with emphasis on building maintainable programs. It also exposes students on building commercialized programs on basic and intermediate programming skill and knowledge, which integrated with dynamic databases. Furthermore, it will profoundly develop students with systematic and structured project management. The course also introduces the programming techniques of developing ERP application. It is built upon advance programming skills and develops students further, both theoretically and practically. The course is divided into several main topics such as list processing, screens, database updates, enhancement and modification and object oriented programming.​

Career Opportunity
Graduates with an MSc in Applied Computing will enhance their employment and career prospects in the global area of Emerging Technology, Big Data Analytics, and Enterprise Resource Planning.      




Programme Manager

Assoc Prof Dr. Izzatdin bin Abdul Aziz​



Last updated on 6 August 2021