Applied Modelling & Quantitative Methods M.A. or M.Sc.
Thesis Stream (Offers Fall, Winter and Spring intakes)
This interdisciplinary thesis-based option offers fresh perspectives for students pursuing an M.A. or M.Sc., bringing together scholars from across economics, computer science, math, and psychology to exchange ideas and share knowledge.
Collaborate on individualized, interdisciplinary research with faculty members in a wide range of disciplines, including Anthropology, Biology, Business Administration, Chemistry, Computer Science, Economics, Geography, Humanities, Mathematics, Physics & Astronomy, Philosophy, or Psychology. This demanding research program builds a solid foundation of modelling skills that will prepare graduates interested in pursuing a Ph.D. program in the discipline of their choice.
Course-Based Streams (Offers Fall, Winter and Spring intakes)
Data Science and Analytics M.Sc.
This new 12-month, course-based M.Sc. program covers a wide array of data science topics, aiming to equip graduates with the tools and techniques needed to handle and analyze complex data sets across various scientific and social science fields. Students will complete a research practicum during their final term of study ensuring they gain practical experience essential for their academic and professional development.
Big Data Analytics M.Sc.
Trent is one of the first universities in Canada to fill the training gap for professionals in data science. This stream equips you with the tools and techniques required to analyze complex data sets, with emphasis on practical skills in visualization, data mining, cloud-based approaches and parallel programming skills.
Complete this skills-boosting program in 16 months and prepare for in-demand careers, including chief data officer, data scientist, data solutions architect, business manager and business analyst.
Big Data Financial Analytics M.Sc.
Learn theory alongside practical skills as you prepare for a career in equity analysis, financial forecasting, investment banking, commercial banking, corporate planning, portfolio management, pension fund management and other opportunities in the financial sector.
From mathematical finance to linear programming, this career-accelerating professional program makes graduates future-ready in just 16 months.
Earn an M.A. or M.Sc. at one of Canada’s top research universities in this cutting-edge data-driven applied modelling program through one of four dynamic streams designed to set you up for career success. Pursue the thesis stream to collaborate across disciplines and prepare for Ph.D. studies or choose a course-based option in Data Science & Analytics, Big Data Analytics, or Big Data Financial Analytics to fast-track your career with in-demand expertise. Whether your interests lie in research, data-driven discovery, or the financial sector, this multi-stream program equips you with advanced modelling skills and real-world experience to excel in today’s data-driven economy.
Experiential learning is fundamental to graduate programs. Across the various streams AMOD has the following experiential opportunities for students:
- Capstone projects
- Industry or community agency-sponsored research projects
- Teaching and research assistantships.
Trent has been home to 2 Nobel Prize winners
10 Canada Research Chairs conduct innovative research at Trent
We are proud to be one of the top 3 greenest campuses in Canada
Eligibility Requirements
- Honours bachelor degree (a four-year undergraduate bachelor’s degree) in a traditional discipline
- Minimum B+ (77%) or equivalent in the last two years of full-time study, or last ten full academic credits
- A university course in differential and integral calculus, and one in probability and statistics or equivalent
- Some familiarity with linear algebra, and capabilities in programming at an elementary level in at least one computational language
- A course in either differential equations or advanced statistics is required, depending on whether the student’s area of research will be mathematics or statistics based
Eligibility Requirements
- Honours bachelor's degree (a four-year undergraduate bachelor’s degree) in a traditional discipline
- Minimum B+ (77%) or equivalent in the last two years of full-time study, or last ten full academic credits
- A university course in differential and integral calculus, and one in probability and statistics or equivalent
- Some familiarity with linear algebra, and capabilities in programming at an elementary level in at least one computational language
- A course in either differential equations or advanced statistics is required, depending on whether the student’s area of research will be mathematics, or statistics based
- Proof of English Proficiency: All international applicants must provide proof of an adequate level of English proficiency regardless of their citizenship status or country of origin. Please visit our How to Apply: International page for details on English Language Proficiency requirements.
- A GRE test score is not required for admission into this program
All applicants, domestic and international, must submit the following documents to complete their application:
- Transcripts: Unofficial copies of all post-secondary transcripts
- 2 letters of reference: Academic references are preferred; however, professional references will be accepted. Reference forms will be emailed to the referees that you have appointed on OUAC
- Plan of Study/Personal Statement: 1-2 pages outlining your objectives in a graduate program. Any specific research interests, relevant experiences, and/or career aspirations can be included
- Detailed Resume or Curriculum Vitae (course-based streams only)
- Proof of Citizenship (ie. copy of passport or birth certificate)
- Supervisor (thesis-stream only): A potential supervisor must be chosen as an admission requirement for this program. Please list your supervisor on your OUAC application and discuss this in your plan of study. Please visit the program's Faculty and Research page for a listing of faculty and areas of research. Applicants are responsible for reaching out to a faculty member
For more information on submitting transcripts, re-sending reference links and other application questions, please visit our How to Apply: Domestic or International pages and review Step 4, as well as review our Frequently Asked Questions (FAQ).
Learn more about tuition & fees
Thesis stream
Eligible full-time students are offered minimum funding packages during their funded period of $18,000 annually, which includes a Graduate Teaching Assistantship employment offer valued at approximately $13,000 annually. Specific funding details are included in individual admission letters.
Students are supported in competing for external awards during their studies, such as the Ontario Graduate Scholarship. A full list of external awards is available on our Scholarships and Awards page.
Course-based streams
Top scholar applicants may be awarded a Graduate Distinguished Entrance Scholarship, of up to $3,000, based on academic excellence. No scholarship application is required. This one-time award is available for domestic and international students.
Financial Aid can provide information about provincial loan programs for domestic students, as well as bursary opportunities for both domestic and international students.
Trent has clear pathways for graduate students to apply and be admitted to study for their master's or doctorate at either of our campuses. Please review admission requirements for your program before applying.
The Big Data Analytics stream at Trent helped me to understand that clean and meaningful data only exists when you know what problem you’re using the data to solve. Connecting the dots between theory and applied analytics, this program teaches the fundamentals of working with big data, while also preparing you for the evolution of data analytics alongside artificial intelligence. The learning environment is genuinely supportive, respectful, and friendly, which I found incredibly valuable for my learning process.
Dr. Parker is a leading expert in psychometrics and test development, with a particular focus on emotional and social competencies, such as emotional intelligence. His recent work explores leveraging large language models to create computational representations of personality constructs using natural language processing. These innovative machine learning techniques provide objective and complementary information to the findings offered by traditional psychometric tools.
Dr. Zhang’s research focuses on corporate finance, investments, and financial institutions. She has published work in corporate misconduct, currency hedging, bank liquidity creation, non-performing loans, corporate innovation, and share repurchases in finance journals such as British Accounting Review, Accounting and Finance, Finance Research Letters, International Review of Finance, Asia-Pacific Journal of Financial Studies, and Applied Economics. Her recent interests include climate finance, generative AI in Finance, and indigenous study in finance.
*Domestic application deadline for Fall 2026 extended to May 1