This programme has been designed as a platform for statistics enthusiasts to explore various statistical methods while being equipped with key skills to solve real-life problems. The structured courses which include inferential statistics, regression modelling, and sampling techniques, among many others, will empower students to conduct analytical research methods. Therefore, able to identify and work with patterns in data, eventually interpreting the results, and making informed conclusions. Students are then able to translate information into meaningful insights that can be used by companies and organisations in various areas like banking, finance, data analytics, insurance, business consultancy, manufacturing as well as in the government service. Ultimately, students are well prepared for the data-driven world.


The aim of the programme is to provide graduates a broad education and skills in mathematics and statistics techniques that appropriate and may assist them in solving problems that related to the focused industrial areas.

Program Learning Outcomes (PLO)

  1. To demonstrate knowledge and understanding of a concept, theories, and research related to industrial statistics.
  2. To apply critical, creative thinking skills and problem-solving strategies using theories, concepts, principles, and methods of statistics in addressing key issues in a variety of situations and industries such as logistics, manufacturing, and other sectors.
  3. To apply and integrate the knowledge and skills of statistics relating to the various situations and issues.
  4. To demonstrate good interpersonal skills in a professional relationship with colleagues and society.
  5. To demonstrate effective communication and interaction using various platforms (oral, writing, and visualization).
  6. To demonstrate competency in the use of statistical software, and able to integrate a wide range of resources and digital technology to address issues and practice related to statistics.
  7. To be able to perform statistical analyses critically and analytically, while evaluating and solving problems scientifically.
  8. To demonstrate a capability to lead and work together with high accountability in executing responsibilities.
  9. To be adept at managing information and seeking job opportunities and life-long learning for enhanced professionalism.
  10. To demonstrate entrepreneurial skills by using statistical skills in planning and making a decision.
  11. To practice professionalism, noble and good ethics in fulfilling the industrial needs of the country.


Duration: 8 Semesters
Practicum: 6 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

  • Economic Principles
  • Introduction to Management
  • Calculus I
  • Calculus II
  • Linear Algebra
  • Ordinary Differential Equations
  • Decision Modelling
  • Data Exploration and Generalization
  • Probability and Statistics
  • Inferential Statistics
  • Regression Modelling
  • Sampling Techniques
  • Design and Analysis of Experiment
  • Multivariate Analysis
  • Industrial Statistics (Project I)
  • Industrial Statistics (Project II)
  • Introduction to Programming
  • Information Systems in Organizations

Elective Courses

Students must choose TWO (2) courses from each of the following industrial field domain

a. Transportation Industry

  • Transportation Theory and Practice
  • Rail Transportation Management
  • Seaport Management
  • Maritime Transport Management

b. Manufacturing Industry

  • Production Planning and Operation
  • Industrial Engineering
  • Manufacturing System Engineering
  • Production Planning and Control

c. Services Industry

  • Human Resources Management
  • Planning Recruitment
  • Change Management
  • Negotiation
  • Industrial Relation

Quantitative Courses

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

  • Numerical Analysis
  • Survival Analysis
  • Non Parametrics Methods
  • Forecasting Methods
  • Official Statistics
  • Special Topic in Statistics
  • Computerized Modeling in Business

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 Industrial Statistics programmes 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