Overview
The Focus in Data Analytics at the University of Toronto is designed for students who wish to gain advanced proficiency in applied empirical economics. This programme provides hands-on exposure to the essential tools used by modern economists to build and interpret complex datasets. By integrating rigorous theoretical knowledge with practical technical training, the curriculum prepares undergraduates for the data-driven demands of the global economy.
Why Focus in Data Analytics at University of Toronto?
Students benefit from a curriculum that emphasises the use of industry-standard programming languages and software. The programme offers direct experience with Python, alongside specialised tools for data management and visualisation such as Stata, R, GIS, and Excel. This technical focus ensures that graduates are not only well-versed in economic theory but are also capable of performing sophisticated quantitative analysis in a variety of professional contexts.
Tuition Fee Breakdown
- International fee: CAD 63570 per year
- National fee: CAD 6100 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum includes a range of core and elective modules designed to build empirical expertise. Modules may include:
- Big-Data Tools for Economists
- Data Analysis and Applied Econometrics in Practice
- Forecasting and Time Series Econometrics
- Applied Econometrics
- Empirical Industrial Organization
- Political Economy of Media
- Economics of Inequality
- Empirical Methods in Microeconomics
- Machine Learning Applications in Macroeconomic Finance
Careers with Focus in Data Analytics
Graduates are equipped for roles that require high-level data literacy and economic insight. The programme prepares students for careers in industries such as finance, public policy, and market research. By mastering tools like machine learning and geospatial visualisation, students are well-positioned for positions as data analysts, economic consultants, and policy advisors within both governmental and private organisations.
Programme Structure
Courses:
- Computer Programming
- Computer Science
- Geographic Information and Mapping
- Big-Data Tools for Economists
- Data Analysis and Applied Econometrics in Practice
- Labour Economics: The Distribution of Earnings
- Empirical Macroeconomics and Policy
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Toronto, Canada
Disciplines
Data Analytics View 20 other Bachelors in Data Analytics in CanadaWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- All applicants are required to present a senior level/Grade 12 English course for admission consideration
- An International Baccalaureate Diploma, including English HL or SL is required for admission
- English is the language of instruction and examination at U of T, and success in our degree programs requires a high level of English language proficiency
Student Insurance via Studyportals Partner
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Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Toronto and/or in Canada, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents63570 CAD / year≈ 63570 CAD / year -
Domestic Applies to you
Applies to youCitizens or residents6100 CAD / year≈ 6100 CAD / year
Living costs
Toronto
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Bachelor's scholarship opportunities for Focus in Data Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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