Computing, Mathematics and Analytics

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 Computing, Mathematics and Analytics at Queen's University equips you with a powerful interdisciplinary toolkit essential for tackling complex challenges in data science, artificial intelligence, and computational research. This undergraduate degree is designed for students passionate about understanding the fundamental principles of computing, the rigorous logic of mathematics, and the practical application of statistical analysis. You will explore core areas like discrete structures, algorithms, and programming paradigms, alongside essential mathematical concepts such as linear algebra and calculus, preparing you for advanced study or impactful careers in technology-driven fields.

You will study this programme full-time on campus over four years, engaging with a curriculum that balances theoretical depth with practical application. Your learning journey will involve completing units in computing, mathematics, and statistics, including foundational courses in data structures, logic, and introductory data science, progressing to advanced topics like operating systems, algorithms, and statistical inference. You will have the opportunity to choose electives from a wide range of advanced mathematics and computing topics, culminating in a comprehensive understanding of how to analyse complex data and develop sophisticated computational solutions, preparing you for roles in analytics, software development, and research.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program offers a comprehensive foundation in computing, mathematics, and analytics. Students will explore core concepts in discrete structures, programming, computer architecture, and software development. The curriculum also delves into essential mathematical topics such as linear algebra, calculus, probability, and statistics, alongside advanced areas like group theory, game theory, and coding theory. This blend prepares students for diverse roles in data science, software engineering, and quantitative analysis.

1 1. Core

Discrete Structures I
Introduction to Computing Science I
Introduction to Computing Science II
Discrete Structures II
Logic for Computing Science
Computer Architecture
Software Specifications
Data Structures
Software Architecture
Game Architecture
Operating Systems
Programming Paradigms
Algorithms I
Social, Ethical and Legal Issues in Computing
Linear Algebra
Introduction to Linear Algebra
Linear Algebra ll
Introduction to Data Science
Differential and Integral Calculus
Differential and Integral Calculus
Differential and Integral Calculus I and Differential and Integral Calculus II
Vector Calculus
Advanced Calculus
Introductory Applied Probability
Statistics and Probability I
Statistics and Probability II
Applied Methods in Statistics I
Fundamentals of Statistical Inference
Rings and Fields
Group Theory
Elementary Number Theory
Functions of a Complex Variable
Stochastic Models in Operations Research
Game Theory
Graph Theory
Enumerative Combinatorics
Introduction to Coding Theory
Introduction to Algebraic Geometry
Introduction to Galois Theory
Number Theory and Cryptography
Optimization Theory with Applications to Machine Learning
Information Theory

2 2. Option

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

Advertising Finance & OperationsAmusement & Recreation ServicesCloud Computing & InfrastructureCybersecurity & Network SecurityData Science & AnalyticsEdTech & E-LearningMaritime & ShippingMuseums & Cultural HeritagePublic RelationsUrban Mobility & Smart Transport

Top Employers Hiring for this course

Amazon Web Services

Electronic Arts

Google

Government of Canada

IBM

Microsoft

Peel District School Board

QMIND

Why Study Computing, Mathematics and Analytics 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 Computing, Mathematics and Analytics at Queen's University

Can I work while studying?

International students can work up to 24 hours per week off-campus during the term and unlimited hours during breaks. They can also work unlimited hours on campus without a separate work permit.

What English language score do I need for this course?

English test requirements include a Duolingo overall score of 120, a TOEFL overall score of 88, or an IELTS overall score of 6.5. Make sure to meet these standards for admission.

What jobs can I get after studying this course?

Graduates can pursue careers as Data Analysts, Software Engineers, Systems Architects, and Security Analysts.

What will I actually study in this course?

The Computing, Mathematics, and Analytics Specialization focuses on the theory of computing and applied areas like communications and security. This program combines computer science and mathematics, preparing students for advanced degrees or industry careers.

When can I start — what are the intake months?

The course intake month is September. Make sure to apply ahead of time to secure your admission.
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