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WijhaUniوجهة يوني
العربية

Other & Interdisciplinary · Bachelor's

Bachelor of Science (Honours) in Industrial Statistics

Sunway University

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Program overview

Sunway University’s BSc (Hons) in Statistical Data Modeling is a three-year homegrown program that explores advanced data modeling techniques and statistical theory, preparing students for leadership roles in the rapidly evolving data-driven industries. Data modeling serves as the foundation for effective data analytics and scientific research, allowing for clearer insights and more precise predictions. It also ensures data integrity, consistency, and accuracy, which enhances the reliability of analytical findings. Through data modeling, analysts and scientists can grasp the underlying relationships within the data and make informed decisions based on robust methodologies.

Entry Requirements

STPM

Average C+ or CGPA 2.33 (minimum 2 Principals)

For other qualifications and certificates (e.g., UEC, Foundation, STAM, etc..) please contact our educational consultants or submit your application for Admission assessment.

Future Careers

  • Chief statistician
  • Statistical data analyst
  • Statistical project consultant
  • Risk data analyst
  • Data scientist
  • Statistical quality control engineer
  • Biostatistician
  • Data analytics expert
  • Healthcare statistician
  • Quantitative analyst
  • Researcher

Curriculum

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Year 1

  • Advanced Calculus
  • Calculus
  • Elementary Statistics
  • English for Business
  • Introduction to Operations Research
  • Introduction to Probability
  • Principles of Economics
  • Linear Algebra & Applications
  • Principles of Business Finance
  • Programming Principles

Year 2

  • Communication Skills
  • Computer-Intensive Statistical Methods
  • Entrepreneurial Mindset & Skills
  • Free Elective 1
  • Introductory Econometrics
  • Mathematical Statistics I
  • Quality Control and Survey Sampling
  • Statistical Data Technologies and Fluency
  • Time Series & Forecasting

Year 3

  • Applied Econometrics
  • Free Elective 2
  • Internship
  • Machine Learning Techniques for Data Mining
  • Multivariate Analysis
  • Stochastic Processes

Electives (Choose 3)

  • Advanced Data Analytics
  • Applied Nonparametric Statistics
  • Applied Time Series Econometrics
  • Bayesian Forecasting
  • Big Data Technologies
  • Categorical Data Analysis
  • Design of Experiments
  • Research Project
  • Survival Analysis
  • Regression Analysis for Spatial Data

Additional MOHE compulsory General Studies subjects

For Local Students

  • Appreciation of Ethics and Civilisation
  • Bahasa Kebangsaan A (applicable to students who did not sit for SPM or did not obtain a Credit in SPM Bahasa Melayu) OR Critical Thinking
  • Community Service for Planetary Health
  • Integrity and Anti-Corruption
  • Philosophy and Current Issues

For International Students

  • Appreciation of Ethics and Civilisation
  • Community Service for Planetary Health
  • Critical Thinking
  • Integrity & Anti-Corruption
  • Malay Language for Communication 2

Entry requirements

Bachelor's: strong high-school results, a foundation, or a diploma.

Typically IELTS 6 or equivalent (TOEFL / PTE). Some universities offer a preparatory English program if you haven't reached the score yet.

Exact requirements vary by program, and an English certificate such as IELTS or an equivalent may be required.

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