DIPLOMA IN INFORMATION SYSTEMS (BUSINESS COMPUTING)

KPT/JPS (N/482/4/0098)12/20 | MQA/PA 7555

Course Duration

Full time 3 Years (6 Long Semesters + 2 Short Semesters)

Intakes

Feb / May / Sept

Course Fees

RM 23,000 (Malaysian)
RM 26,000 (International)

Email us for details

Overview

This is a multidisciplinary programme that combines the fundamentals of computing and business. It aims to equip students with technical skills in systems analysis and design, information processing and analytics, as well as essential business knowledge in accounting, marketing and management. Graduates of the programme are expected to be skilled IT professionals with software related skills coupled with a solid understanding of how businesses function. They will be capable of creating a competitive advantage by developing meaningful business solutions with the use of cutting-edge technologies to support the tactical, operational and strategic needs of a business.

Entry Requirements

Academic Requirements
  • SPM: PASS WITH AT LEAST CREDIT in any 3 subjects inclusive of Mathematics

  • IGCSE / O-LEVEL: PASS WITH A MINIMUM OF GRADE C in 3 subjects inclusive of Mathematics

  • UEC: PASS WITH A MINIMUM OF GRADE B in any 3 subjects inclusive of Mathematics

English Language Requirements

​FOR MALAYSIAN STUDENTS

  • SPM/SPMV: Minimum pass; OR

  • IGCSE: Minimum pass; OR

  • Any equivalent qualifications recognised by the Malaysian Government

 

FOR INTERNATIONAL STUDENTS

  • IGCSE: Minimum pass; OR

  • MUET: Minimum band 2; OR

  • IELTS: Minimum band 4.0; OR 

  • TOEFL: Minimum score of 397; 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 and conduct research literature reviews as well as analyse complex engineering problems to reach 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 as well as 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. Being able to comprehend and write effective reports and design documentation as well as create engaging presentations in addition to the ability to give and receive clear instructions;

 

P11    Project Management and Finance - Demonstrate knowledge, understanding, and application of engineering management and economic decision making to manage projects. Able to utilise mentioned principles as a team member or team leader across 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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YEAR 1

  • Introduction to Computing

  • Cognitive Process and Problem Solving

  • Problem Solving and Programming

  • Computing Mathematics I & II

  • Business Statistics I

  • Computer Architecture

  • Information Systems

  • Systems Analysis and Design

  • Decision Support with Spreadsheets

  • Introduction to Accounting

  • Introduction to Finance

  • Pengajian Malaysia II

YEAR 2

  • Networking Fundamentals

  • Management Information Systems

  • Database Management Systems

  • Operating Systems Concepts

  • Cyberpreneurship

  • Basic Concepts of Marketing

  • Introduction to Management

  • Introduction to Economics

  • e-Business Management

  • Issues in Malaysian Economy

  • Co-Curriculum

  • *Elective Subjects

YEAR 3

  • Introduction to Human Resource Management

  • Operation Management

  • *Elective Subjects

  • Final Year Project

  • Practical Training

ELECTIVE SUBJECTS* (choose 3)

  • Introduction to Human Computer Interaction

  • Business Analytics

  • Enterprise Systems

  • Business Process Management

  • Project Management Fundamentals

  • Business Mathematics I

  • Introduction to Business Laws

  • Introduction to Investment

  • Introduction to Business Ethics

  • Web Applications Development

  • Effective Communication

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

  • Entrepreneur

  • Techno-Strategist

  • Business Analyst

  • Business Process Analyst

  • Business Consultant

  • Solutions Architect

  • Business Development Executive / Manager

  • Software Application Developer

  • Application Support Analyst

  • Enterprise Resource Planning Consultant

  • Information Systems Specialist

  • Business Analytics Specialist

  • Business Analytics Technology Consultant