UU6461002: BACHELOR OF SCIENCE IN DECISION MATHEMATICS AND DATA ANALYTICS WITH HONOURS

UU6462002: BACHELOR OF SCIENCE WITH HONOURS (DECISION MATHEMATICS AND DATA ANALYTICS)

Description

Students will use modelling and prediction, then turn both masses of everyday information, and more specialized quantitative and qualitative data, into actionable insights. By using mathematical models and analytical reasoning, students able to examine problems in areas such as operations and supply chain management, information technology, marketing, finance, management, manufacturing, and economics. Students will learn how to solve these problems by using a number of mathematical techniques, including optimization methods (linear, integer, nonlinear), computer simulation, decision analysis, artificial intelligence, data-mining, and more.    

Aims

The aim of this programme is to produce graduates who possess in depth knowledge and skills for scientific decision making; possess sufficient knowledge in integrating other field areas such as economy, management, education and others, as well as having in-depth knowledge in Mathematics, Statistics, Decision Science/ Operational Research, and Information and Communication Technology (ICT); and are able to construct models and analyse them accordingly.

Program Learning Outcome (PLO)

  1. Apply basic and advanced knowledge of operational research/ decision science.
  2. Use advanced quantitative and qualitative approaches, modelling skills and other contemporary decision making tools for industries, public institutions and society.
  3. Design, model and solve real, hypothetical and complex problems using appropriate computer tools.
  4. Understand, evaluate, integrate and synthesize organizational issues towards suggesting potential solutions in the broader context of industries, public institutions and society.
  5. Communicate ideas orally, graphically and in writing to a range of audiences in different situations effectively.
  6. Use various digital technologies to design, analyze and evaluate potential solutions in various situations.
  7. Demonstrate the skills of designing and analysing data as well as evaluating and solving complex real-world problems.
  8. Practice excellent leadership, management and decision making skills in conducting projects or research.
  9. Participate in lifelong learning, career advancement activities, and keep abreast with knowledge of emerging technologies.
  10. Combine appropriate tangible and intangible entrepreneurial skills for decision-making processes.
  11. Carry out responsibilities professionally and ethically.

Details

Duration: 7 Semesters
Industrial Training: 3 Months

 

 

University Core Courses

Students must complete ALL university courses enlisted below

  • Philosophy and Contemporary Issues
  • Appreciation of Ethics and Civilization
  • Malaysian Nationhood
  • Basic Entrepreneurship
  • Integrity and Anti-Corruption
  • Co-Curriculum

English Core Courses

Students must take SIX (6) credit hours of English courses based on their achievements in any English Proficiency Test stated in the following equivalency chart.

demanticchart

List of English of Specific Purposes (ESP) courses:

  • English For Small Group Communication
  • Report Writing
  • Hospitality English
  • Public Speaking Skills
  • English For Professional Communication

Programme Core Courses

Students must complete ALL university courses enlisted below

  • Principle Economics
  • Basic Accounting
  • Programming in Business Applications
  • Data Modelling and Database
  • Computer Aided Decision Making
  • Data Mining
  • Linear and Non-linear Optimization
  • Deterministic and Probabilistic Modelling
  • Computer Modelling in Business
  • Heuristics Techniques
  • Multi Criteria Decision Analysis
  • Operations Engineering
  • Research Methodology in Quantitative Sciences
  • Academic Project
  • Discrete Mathematics
  • Calculus I
  • Linear Algebra
  • Intermediate Calculus
  • Probability and Statistics
  • Inferential Statistics
  • Industrial Training

Elective Courses

Students must choose only FOUR (4) courses from the list below.

  • Business Analytics Programming
  • Data Visualisation
  • Game Theory and Strategic Thinking
  • Productivity and Proficiency Analysis
  • Business Mathematics
  • Regression Modelling
  • Sampling Techniques

Field Elective Courses

Students must choose ONE (1) Field Elective from the list below and complete SIX (6) courses only.

Innovative Multimedia

  • Multimedia System Foundation
  • Visual Design Principles
  • Perception Studies
  • Human Computer Interaction
  • Graphic Computer Animation
  • Digital Video Technology

Contemporary Marketing

  • Introduction to Marketing
  • Marketing Management
  • Service Marketing
  • Sales Management
  • Global Marketing
  • Digital Marketing
  • Consumer Behavior Analytics

Human Resource Management

  • Human Resource Management
  • Staffing
  • Training and Development
  • Employee Performance Management
  • Change Management
  • Introduction to Occupational Safety and Health Management
  • Internation Human Resource Management

Logistics and Transportation

  • Fundamental of Transport and Logistics
  • Transport Planning and Policy
  • Road Transport Management
  • Maritime Management
  • Logistic Management
  • Air Transport Management

Finance

  • Financial Management
  • Advance Financial Management
  • Financial Statement Analysis and Valuation
  • Corporate Finance
  • Financial Market and Institutions
  • Personal Finance
  • Investment Analysis

Bank Management

  • Foundations of Banking
  • Bank Management
  • Commercial Bank Operations
  • Lending Management
  • Banking Securities
  • International Trade and Finance
  • Corporate Banking

Free Elective Course

Students to choose ONE (1) course offered by other schools, taking into account the following.

  • must meet course prerequisites if the course require prerequisites.

  • equivalent course cannot be chosen as free electives.

 

 

PROGRAMME

REQUIREMENTS BEGINNING

ACADEMIC SESSION 2025/2026

UU6461002

BACHELOR OF SCIENCE IN DECISION MATHEMATICS AND DATA ANALYTICS WITH HONOURS
3 years

(6 + 1 short semester)

A: STPM (Arts)
S: STPM (Sciences)

1.      Obtain at least a Grade C in ONE (1) subject at the STPM level:

·        Mathematics M/ Mathematics T

 

OR

 

Obtain at least a Grade C+ in any TWO (2) subjects at the STPM level:

and

Obtain at least a Grade C at the SPM level:

·        Additional Mathematics

 

2.      Obtain at least BAND 2.5 for results starting from Session 1, 2021 or BAND 2 for results from 2020 and earlier in the Malaysian University English Test (MUET), according to the validity period on the application date.

 

Note:

Candidates must not have disabilities related to hearing, vision, speech, physical, mental, or multiple impairments that hinder mobility or learning.

 

N: MATRICULATION (Science)
P: MATRICULATION (Accounting)

J: MATRICULATION (Engineering)

K: FOUNDATION (Engineering)

M: FOUNDATION (Social Sciences)

1.      Obtain at least  a Grade C+ in ONE (1) subject at the Matriculation/ Foundation level:

·        Mathematics

 

OR

 

Obtain at least a Grade C in Mathematics at the Matriculation/ Foundation level.

and

Obtain at least a Grade C in ONE (1) subject at the SPM level:

·        Mathematics/ Additional Mathematics

 

2.      Obtain at least BAND 2.5 for results starting from Session 1, 2021 or BAND 2 for results from 2020 and earlier in the Malaysian University English Test (MUET), according to the validity period on the application date.

 

Note:

Candidates must not have disabilities related to hearing, vision, speech, physical, mental, or multiple impairments that hinder mobility or learning.

 

T: STAM

1.      Obtain at least a Grade C+ in ONE (1) subject at the SPM level:

·        Mathematics/ Additional Mathematics

 

2.      Obtain at least BAND 2.5 for results starting from Session 1, 2021 or BAND 2 for results from 2020 and earlier in the Malaysian University English Test (MUET), according to the validity period on the application date.

 

Note:

Candidates must not have disabilities related to hearing, vision, speech, physical, mental, or multiple impairments that hinder mobility or learning.

 

G1: DIPLOMA FROM PUBLIC UNIVERSITIES (UA)
G2: DIPLOMA FROM POLYTECHNICS
E3: DIPLOMA FROM PRIVATE HIGHER EDUCATION INSTITUTIONS (IPTS)

1.      (i) Possess a Diploma in Statistics/ Mathematics or a programme recognized as equivalent by the Government of Malaysia and approved by the University Senate

 

OR

 

(ii) Possess another Diploma recognised as equivalent by the Government of Malaysia and approved by the University Senate

and

Obtain at least a Grade C in ONE (1) subject at the SPM level:

·        Mathematics/ Additional Mathematics

 

2.      Obtain at least BAND 2.5 for results starting from Session 1, 2021 or BAND 2 for results from 2020 and earlier in the Malaysian University English Test (MUET), according to the validity period on the application date.

 

Note:

Candidates must not have disabilities related to hearing, vision, speech, physical, mental, or multiple impairments that hinder mobility or learning.

 

Graduates from Decision Mathematics and Data Analytics programme is versatile and very marketable. The demand of our Decisiom Scientist is high in the fields of manufacturing, banking, finance, marketing, logistics, transportation, healthcare, telecommunication, forestry, military, data analytics, insurance, business consultancy, government services, graduate studies, human resources, energy, and others.

Prospect Job Title

  • Operational Engineer
  • Industrial Engineer
  • Financial Engineer
  • Technical Consultant
  • Financial Consultant
  • Business / Market Analyst
  • Programmer Analyst
  • System Analyst
  • Data Analyst
  • Risk Analyst
  • Investment Analyst
  • Budget Analyst
  • Supply Chain Analyst
  • Logistic Analyst
  • Decision Analyst
  • Purchasing Analyst
  • Quality Control Inspectors
  • Cost Estimator
  • Economist
  • Banker
  • Sales Officer
  • Purchase Officer
  • Executive
  • Planner
  • Researcher
  • Academician

sqs-sarjana-muda-sains-matematik-pemutusan-dan-analitik-data-dengan-kepujian-3-1