Trent University Canada

Applied Modelling & Quantitative Methods

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Next Intake TBA

Course Overview

Embark on a transformative academic journey with the Applied Modelling & Quantitative Methods Masters Degree at Trent University. This postgraduate program is meticulously crafted for individuals driven to master the complex quantitative and computational techniques essential for tackling multifaceted challenges across natural and social sciences. You will delve into the core principles of modelling, exploring diverse approaches from statistical methods and computational simulation to data analytics and big data applications. By engaging with subjects like statistical aspects of modelling, data analytics with R, and information literacy in data science, you will develop a robust analytical toolkit.

This intensive, full-time, on-campus Masters program is structured over 24 months, providing you with a comprehensive learning experience. You will engage in practical application through courses such as Data Analytics with R and Data Science With Python, gaining hands-on experience with industry-standard tools. The curriculum emphasizes developing your ability to design, implement, and analyze models, culminating in a significant research project or thesis. You will graduate with advanced skills in computational modelling, statistical analysis, and data interpretation, preparing you for impactful careers in research, quantitative analysis, and data-driven decision-making roles.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This course provides a comprehensive introduction to the principles and applications of quantitative methods and modelling. Students will explore the foundations of modelling, computational and statistical aspects, and gain practical skills in data analytics using R and Python. The curriculum also covers big data, data visualization, data mining, and database management, alongside specialized topics in financial econometrics, portfolio management, and financial management. The program culminates in a major research paper or a specialized financial analytics research project, complemented by seminars on the applications of modelling.

1 Year 1 / Semester 1

The Foundations of Modelling
Computational Aspects of Modelling
Statistical Aspects of Modelling
Data Analytics With R
Info Literacy & Comm in Data Science
Reading Course
Reading Course
Big Data
Data Visualization
Data Mining
Intro. to Databases
Data Science With Python
Mathematical Finance Modelling
Portfolio & Risk Management
Financial Econometrics
Financial Management
Big Data Major Research Paper
Big Data Financial Analytics Research
1st Seminar on Applications of Modelling
2nd Seminar on Applications of Modelling

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 16,161.00
Second Year Fee Tuition fee
USD 16,161.00
Total Program Cost Estimated total tuition
USD 32,322.00

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

Living Costs

Accommodation
USD 435.00 - USD 543.00
Food & Groceries USD 1,734.00 - USD 5,981.00
Transport USD 477.00 - USD 651.00
Utilities & Bills USD 867.00 - USD 1,301.00
Estimated Total USD 3,078.00 - USD 7,933.00

Living cost estimates are based on Peterborough Campus.

Outcomes & Employability

What happens after you graduate

92%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

DevOps & Site Reliability EngineeringEarly Childhood & Primary EducationEconomic Research & PolicyFood Safety & Quality AssuranceHealth Technology & Digital HealthHigher Education & UniversitiesIT Support & Systems AdministrationInsurance & Risk ManagementRetail & GroceryTax & Legal Compliance

Top Employers Hiring for this course

Outlier

RBC

Statistics Canada

TD Bank

Walmart

Why Study Applied Modelling & Quantitative Methods at Trent 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 Trent 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 Applied Modelling & Quantitative Methods at Trent University

Can I work while studying?

International students may work up to 24 hours per week off-campus during term time, and unlimited hours during breaks. They can also work an unlimited number of hours on campus without needing a separate work permit.

What English language score do I need for this course?

English test requirements include a Duolingo overall score of 110 and specific minimum scores for TOEFL (80 overall), IELTS (6.5 overall), and PTE (59 overall). Ensure you meet these scores to qualify for admission.

What jobs can I get after studying this course?

Graduates can pursue careers as Data Scientists, Data Analysts, Quantitative Researchers, Statistician, or Business Intelligence Analysts.

What will I actually study in this course?

This program includes a thesis stream for M.A. or M.Sc. students and course-based streams in Data Science and Big Data Analytics. Students will collaborate on interdisciplinary research, enhancing their skills in various fields such as economics, computer science, and psychology.

When can I start — what are the intake months?

The Applied Modelling & Quantitative Methods program offers intakes in September for thesis streams and Fall and Winter for course-based streams. This timing allows you to align your studies according to your preferences and commitments.
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