UU6462002: BACHELOR OF SCIENCE WITH HONOURS (DECISION SCIENCE)

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: 8 Semesters
Practicum: 4 Months

 

 

University Core Courses

  • Philosophy and Current Issues
  • Appreciation of Ethics and Civilization
  • Malaysian Nationhood
  • Fundamental of Entreprenuership
  • Co-Curriculum

English Core Courses

Students must take an English courses of NINE (9) credit hours. The courses that must be taken depend on the MUET results obtained by the students as below

  • MUET Band 2 : English Proficiency I, II, III
  • MUET Band 3 : English Proficiency II, III and 1 ESP course
  • MUET Band 4 : English Proficiency III and 2 ESP courses
  • MUET Band 5 or 6 : 3 ESP courses

List of ESP courses:

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

Programme Core Courses

  • Introduction to Management
  • 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
  • Quantitative Science Research Project
  • Discrete Mathematics
  • Calculus I
  • Linear Algebra
  • Intermediate Calculus
  • Probability and Statistics
  • Inferential Statistics

Elective Courses

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

  • Introduction to Social Science
  • Ethics and Science of Thinking
  • Principles of Economics
  • Introduction to Marketing
  • Organisational Behaviour and Development
  • Production and Operations Management
  • Financial Management
  • Advance Financial Management
  • Business Analytics Programming
  • Data Visualization
  • System Dynamics Modeling
  • Games, Strategies and Decision Making
  • Productivity and Efficiency Analysis
  • Business Mathematics
  • Calculus II
  • Actuarial Mathematics I
  • Multivariate Calculus
  • Ordinary Differential Equation
  • Numerical Analysis
  • Actuarial Mathematics II
  • Data Exploratory and Generalization
  • Regression Modelling
  • Sampling Techniques
  • Statistical Quality Improvement
  • Design and Analysis Of Experiment
  • Multivariate Analysis
  • Non Parametrics Methods
  • Forecasting Methods

Minor

Students must select ONE (1) Minor from the list offered by the University to meet the programme structure requirements for graduation.

Free Elective

Students can choose ONE (1) course from any courses offered by other study programmes at the same School or other School courses.

 

 

Graduates from Decision Science programme will be able to go on to work in the areas of banking, finance, data analytics, insurance, business consultancy, manufacturing, government service, and graduate studies.

Prospect Job Title

  • Operational Engineer
  • Industrial Engineer
  • Financial Engineer
  • Technical Consultant
  • Financial Consultant
  • Business / Market Analyst
  • Programmer Analyst
  • System Analyst
  • Data Analyst
  • Risk Analyst
  • Sales Officer
  • Purchase Officer
  • Executive
  • Planner
  • Researcher
  • Academician