MASTER OF SCIENCE (COMPUTER SCIENCE)

KPT/JPS (N/481/7/0806)04/23 | MQA/PA 9388

Course Duration

Full time 1½ Years, Part time 2 Years

Intakes

Feb / May / Sept

RM

Course Fees

RM 20,000 (Malaysian)
​RM 25,000 (International)

Email us for detail

Overview

This programme produces computer scientists with sufficient specialised computing and scientific expertise who can work effectively in multidisciplinary teams to communicate innovative ideas that improve the quality of life.

Entry Requirements

Academic Requirements
  • BSc in computing or science & technology: CGPA => 3.00

  • BSc in computing or science & technology: 2.5 < CGPA < 3.0 (applications will be considered on an individual basis)

  • BSc in computing or science & technology: CGPA < 2.5 (with minimum 5 years relevant industry experience)

  • BSc (in non computing or science & technology): Required To Take Pre-requisite Courses

English Language Requirements

FOR INTERNATIONAL STUDENTS

  • IGCSE: Minimum pass; OR

  • MUET: Minimum band 3; OR

  • IELTS: Minimum band 5.0; OR 

  • TOEFL: Minimum score of 550; OR

  • Any equivalent qualifications recognised by the Malaysian Government

** Validity of test results:
-MUET: 5 years
-IELTS & TOEFL: 2 years

Programme Objectives 

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The educational objectives of the Bachelor of Computer Engineering with Honours programme are to facilitate students to become:


PEO1    Graduates who are able to apply engineering knowledge, understanding and practical skills to produce quality services to agencies, organizations, industries and institutions locally and globally.

PEO2    Graduates who are able to find solutions to complex problems within and across disciplines through effective communicative abilities.

PEO3    Graduates who are able to continuously upgrade their knowledge, understanding, professional ethic and ability to create business opportunities for agencies, organizations, industries and institutions locally and globally.

 


STATEMENT OF POs

At the end of this programme, students should be able to: 


PO1    Engineering Knowledge. Apply knowledge of mathematics, science, and computer engineering. 

PO2    Problem Analysis - Identify, formulate, conduct research literature and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences (WK1 to WK4);

 

PO3    Design/Development of Solutions - Design solutions for complex engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations (WK5);

 

PO4    Investigation - Conduct investigation of complex engineering problems using research-based knowledge (WK8) and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions;

 

PO5    Modern Tool Usage - Create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering problems, with an understanding of the limitations (WK6);

 

PO6    The Engineer and Society - Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice and solutions to complex engineering problems (WK7);

 

PO7    Environment and Sustainability - Understand and evaluate the sustainability and impact of professional engineering work in the solutions of complex engineering problems in societal and environmental contexts. (WK7);

 

PO8    Ethics - Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice (WK7);

 

PO9    Individual and Team Work - Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings;

 

P10     Communication - Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions;

 

P11    Project Management and Finance - Demonstrate knowledge and understanding of engineering management principles and economic decision making and apply these to one’s own work, as a member and leader in a  team, to manage projects in multidisciplinary environments;

 

P12    Life Long Learning - Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
 

We are Hiring

We are looking for passionate individuals to join our team.

  1. Full Time PhD & Master Vacancies with allowances (URGENT FILL UP).

  2. AI & Analytics Postgraduate Researcher

  3. Industry Research Project Title : AI/Predictive Analytics for Smart Maintenance of Downstream Plant Operation in Oil & Gas Sector. (PhD Computing 1x Position + Master of Science - computer science 2x Position).

 

This project is sponsored by Serba Dinamik Group Bhd.

This Industry research project will focus into development :-

- To develop a Core AI/ Predictive Analytics engine based on data-driven problem solving integrate with existing Smart Maintenance solutions.

- Develop intelligent AI systems which comply with HS&E procedures and requirement.

- Develop intelligent AI systems which will focus less time spent on brute-force information extraction and validation.

 

Requirements:

- A Malaysian;

- Familiar and experience in developing AI/Analytics solutions using KERAS, TensorFlow, Python, R, SAS, Tableau.

- Has completed MSc. in the relevant and related field (Data Analytics/Computer Science/Systems Engineering) with a minimum CGPA of 3.00; (For PhD computing candidates Placement).

- Has completed Bachelor’s degree in the relevant and related field (Data Analytics/Computer Science/Systems Engineering) with a minimum CGPA of 3.00; (Master by Research student placement).

 

Or

Industry working experience in the relevant and related field of not less than 3 years with minimum CGPA of 2.75;

 

Or

Research experience in the relevant and related field of not less than 3 years with 2 journal publications with minimum CGPA of 2.75; and

Able to travel as much as the job requires

 

Benefits: Allowance up to RM 2,500 monthly (PhD) OR RM2,000 (Master). Upon successful and completion of the project, candidate will be awarded with Master or Doctoral Degree.

 

Interested candidates to email CV to

Dr. Mohammad Shahir at shahir.majed@unimy.edu.my or

Dr. Nor Akmar Mohd Yahya at akmar.yahya@unimy.edu.my .

 

Programme Outline

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KEY COURSES

1. CORE COURSES (25 CREDITS)

  • Algorithms (3 credits)

  • Discrete structure (3 credits)

  • Simulation and modelling techniques (3 credits)

  • Artificial intelligence (3 credits)

  • Programming language concepts (3 credits)

  • Master project (10 credits)*

 

2. UNIVERSITY CORE COURSES (6 CREDITS)

  • Graduate seminar (1 credit)

  • Research methodology and academic writing (3 credits)

  • Fundamental issues in computing (2 credits)

 

3. ELECTIVE COURSES (9 CREDITS) – CHOOSE 3 SUBJECTS ONLY
3.1 Algorithms and Theory Domain (3 credits for each subject)

  • Complexity theory

  • Cryptography

  • Geometric modelling

  • Computational techniques for science and engineering

3.2 Computer Systems Domain (3 credits for each subject)

  • Performance analysis of queueing systems

  • Cloud computing

  • Information security

  • Service-oriented architecture

  • Compiler construction

3.3 Knowledge Systems Domain (3 credits for each subject)

  • Intelligent multi-agent systems

  • Data mining

  • Machine learning

  • Computational linguistics

3.4 Software Engineering Domain (3 credits for each subject)

  • Requirements engineering

  • Software testing and quality assurance

  • Software design methodologies

  • Interface design methodology

* Master project (10 credits):

  • Abundant Data Applications, Algorithms, and Architectures

  • Data Science Research

  • Information Security and Cryptography

  • Security of Computer Systems and Support for Digital Democracy

  • Programming Languages, Software Engineering and Mobile Computing

  • Machine Learning and Intelligent Systems

  • Internet of Things

  • Graphics and Visual Computing

Students Project

Students Testimonial

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Education Pathway

Upon completing this course, students can proceed to pursue further study in the following courses:

Career Prospects

  • Systems manager

  • Information analyst

  • Software engineer

  • Web engineer

  • Data warehouse consultant

  • User interface designer

  • Systems specialist

  • IT consultant

  • Policy advisor

  • Project manager

  • Academician​