LEC Abroad

Bachelor of Science (Statistics)

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The University of Newcastle

Course Level
Foundation
Course Subject
Statistics

Course Description

Overview

The Bachelor of Science (Statistics) provides a rigorous grounding in mathematical theory, data analysis, and quantitative reasoning. Taught at The University of Newcastle, this foundational program explores how statistical methodologies transform complex raw information into actionable insights across diverse disciplines. Mastering these analytical tools is crucial for identifying patterns, managing uncertainty, and making evidence-based decisions in a data-driven world.

What You'll Learn

  • Core mathematical foundations, calculus, and linear algebra techniques

  • Probability theory, statistical distribution models, and random variables

  • Applied data analysis, regression modeling, and hypothesis testing

  • Computational programming methods for managing and processing large datasets

Learning Outcomes

Upon completing this degree, graduates will formulate rigorous statistical models to solve empirical problems, interpret complex data distributions using specialized computational tools, and communicate quantitative findings clearly to support data-informed decision-making.

Requirements

Kuwait: Completion of High School / Shahadat Al-Thanawiya Al-A'ama (General Secondary Education Certificate) with a minimum overall average of 60%.
IELTS (Academic) 5.5 with no band below 5.0 (or approved equivalent English language test)
TOEFL iBT (0-120) 50 with 15 in Writing, 15 in Speaking (or approved equivalent English language test)
PTE (Academic) 46 with no communicative skill below 42 (or approved equivalent English language test)
Engineering, Science & IT Stream
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Tuition fee
Apply by October 16, 2026
Start dates
Feb 2027, Sep 2027
Duration
2 semesters (11 months)
Campus
Newcastle College of International Education
Mode of study
Full Time
Fees and deadlines depend on the selected options.
Fees and currency conversion are approximate.
⏳ Offer response
3 Days
📄 Backlogs accepted
This course does not accepts backlogs