Statistics

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 4 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Next Intake TBA

Course Overview

The Bachelor of Science in Statistics at Queen's University equips you with the essential skills to navigate and interpret the complex data-driven world. This undergraduate degree is ideal for students fascinated by the science of decision-making under uncertainty, offering a deep dive into the mathematical and computational study of randomness and variability. You will explore foundational concepts in probability, distributions, and statistical inference, preparing you for a field that significantly impacts nearly every sector where data is collected and analysed. This program provides a robust understanding of statistical methods and their applications.

You will study this full-time, on-campus program over four years, engaging with core statistical topics alongside practical applications. The curriculum covers introductory applied probability, statistical methods, and delves into advanced areas such as regression analysis, statistical learning, and Bayesian methods, utilizing tools like R for data science. You will develop expertise in areas like probability theory, hypothesis testing, and data manipulation, culminating in the ability to apply these techniques to real-world problems. Graduates are prepared for diverse career paths as statisticians and data scientists in various industries.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This course provides a comprehensive introduction to the field of statistics, covering fundamental concepts in probability and statistical inference. Students will explore various statistical methods, including regression, time series analysis, and Bayesian approaches. The curriculum also emphasizes practical application through programming with R, SAS, and other tools, preparing students for data-driven analysis and decision-making.

1 Year 1 / Semester 1

Introductory Applied Probability
Introduction to Statistics
Statistics and Probability I
Statistics and Probability II
Probability I
Probability II
Applied Methods in Statistics I
R for Data Science
Stochastic Processes and Applications
Bayesian Analysis
Statistical Learning II
Statistical Learning I
Fundamentals of Statistical Inference
Discrete Time Series Analysis
Quality Management
Statistical Programming with SAS and Applications
Sampling and Experimental Design
Generalized Linear Models
Survival Analysis
Topics in Statistics
Topics in Statistics II

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 40,113.00
Second Year Fee Tuition fee
USD 40,113.00
Third Year Fee Tuition fee
USD 40,113.00
Fourth Year Fee Tuition fee
USD 40,113.00
Total Program Cost Estimated total tuition
USD 160,454.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 411.00 - USD 1,164.00
Food & Groceries USD 2,167.00 - USD 3,901.00
Transport USD 781.00 - USD 1,214.00
Utilities & Bills USD 1,041.00 - USD 1,561.00
Estimated Total USD 3,989.00 - USD 6,676.00

Living cost estimates are based on Kingston Campus.

Outcomes & Employability

What happens after you graduate

95%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Adult & Continuing EducationAmusement & Recreation ServicesBanking & Financial ServicesBrand ManagementDigital MarketingHardware & Semiconductor EngineeringPrivate Equity & Venture CapitalSecondary & High School EducationSpecial & Inclusive EducationSupply Chain & Freight Management

Top Employers Hiring for this course

Amazon Web Services

Electronic Arts

Google

Government of Canada

IBM

Microsoft

Peel District School Board

QMIND

Why Study Statistics at Queen's University

What makes this program stand out

Top 20 in UK For Computer Science

Exeter's Computer Science department consistently ranks among the top 20 in the UK for both teaching quality and research output.

Fast Offers Quick turnaround

Exeter typically responds to applications within 2-3 weeks, giving you clarity on your options quickly.

Flexible Intakes September start

Primary intake in September with January start available for some pathways through the INTO foundation program.

Accredited Industry recognized

Accredited by BCS, The Chartered Institute for IT, meeting requirements for Chartered IT Professional (CITP) status.

Life at Queen's University in Canada

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Statistics at Queen's University

Can I work while studying?

International students can work up to 24 hours per week off-campus during term time and unlimited hours during breaks. On-campus work is also available without a separate permit.

What English language score do I need for this course?

For admission, applicants must meet specific English test requirements, including scores from Duolingo, TOEFL, IELTS, or PTE. Ensure you achieve the minimum scores in all sections to qualify.

What jobs can I get after studying this course?

Career opportunities include Statistician, Data Scientist, Biostatistician, Quantitative Analyst, and Market Research Analyst.

What will I actually study in this course?

Statistics is the science of decision-making under uncertainty, focusing on randomness and data variability. It significantly impacts fields like healthcare and business, where data collection is vital.

When can I start — what are the intake months?

The Statistics course starts intake in September every year, allowing students to enroll and begin their studies.
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