Programs in Statistics

University of Toronto Scarborough
Department of Computer & Mathematical Sciences

Overview

Statistics is the science of collecting, analyzing, interpreting, and presenting data. Statisticians apply their expertise to a wide variety of fields such as biology, economics, medicine, marketing, business, and more; as a famous statistician put it “the best thing about Statistics is that you get to play in everyone else's backyard.” Therefore, studying Statistics is a great choice for students with strong quantitative skills and an interest in applying these skills to solve real world problems. The Department of Computer & Mathematical Sciences at UTSC offers the following programs in Statistics:

For detailed information about program requirements, please check the Calendar.

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Our Graduates

Our department is attracting some of the best students and faculty from Canada and abroad. This is reflected on the past graduates from our programs, who have been extremely successful in both industry and academia. Below are a few of our recent graduates' career paths:

  • Alex Chen ('10) continued his studies at University of Toronto's Department of Statistics, where he received his Master's degree in 2012. His work history includes Financial Analyst at China International Capital Corporation, IT Analyst at TD Bank, and Teaching assistant at the University of Toronto.
  • Edward Chow ('10) worked as a Mathematics/Physics/Statistics Teacher (Gr. 12) at Durham Secondary Academy, as a Statistician at Syncapse Corp., and he is currently a Data Analyst at the Canadian Institute.
  • Amy Jiang ('10) went on to study at Oxford University where she received her Computational Finance (Financial Engineering) degree in 2011. Her work history includes interns at Bell Canada, China Life Franklin Asset Management Co., Ltd and Beijing Olympics. She currently works as a IBD analyst at Morgan Stanley from 2012.
  • Andi Kerenxhi ('12) graduated from our department with a specialist degree in Quantitative Analysis. His favourite pastime activities include playing competitive beach volleyball, skydiving and reading. He previously worked as an Equity Analyst and is currently an Equity Trader at Extuple Inc.
  • Xiaofan Li ('10) went on to study at Carnegie Mellon University's Tepper School of Business, where received his Master's in Computational Finance in 2011. He currently works as a derivatives trader at Optiver, a top proprietary trading firm in Chicago.
  • Fengwei Sun ('12) went on to study at Tepper School of Business, Carnegie Mellon University, and will receive his Master's in Computational Finance in 2013. His current academic concentration is on the applications of quantitative and programming tools in the finance industry.
  • Chenxing (Tony) Wang ('10) went on to study at the University of Waterloo where he received his Master's of Mathematics in 2012. His work history includes QA Analyst at IBM Canada, Business Analyst at RBC Capital Markets, Project Analyst at Millennium Research Group. He currently works as a Software Engineer at TATA Consultancy Services in Toronto.
  • Zhe Zhou ('10) upon graduation worked as a business analyst at TD Securities, and later as a senior risk analyst at the Bank of Montreal. He then went on to study at the Massachusetts Institute of Technology's Sloan School of Management, where he received his Master of Finance degree in 2013.

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Statistics Specialist (starting Fall 2013)

The Specialist program in Statistics has two separate streams:

Quantitative Finance stream

Modern financial theory and practice routinely employ quantitative methods derived from Statistics, Mathematics and Computer Science. This program teaches students the required quantitative methods with a distinctive focus on practical financial applications. The program prepares students for employment in the financial industry in positions such as Quantitative Analyst, Risk Manager, and Financial Analyst.
For detailed information about the program's requirements, please check the Calendar.

Suggested program of study for Quantitative Finance stream
Year \ Semester Fall Winter
1st CSCA08 Intro to Computer Programming
MATA31 Calculus I
ECMA04 Intro to Microeconomics
CSCA48 Intro to Computer Science
MATA37 Calculus II
MATA23 Linear Algebra I
2nd ACTB40 Fund. of Investment & Credit
MATB24 Linear Algrebra II
MATB41 Multivariate Calculus I
STAB52 Intro to Probability
MATB42 Multivariate Calculus II
MATB61 Linear Programming & Optimization
STAB57 Intro to Statistics
STAB41 Financial Derivatives
3rd CSCC37 Intro to Numerical Algorithms
MATB44 Differential Equations I
STAC62 Stochastic Processes
STAC67 Regression Analysis
MATC46 Differential Equations II
STAC70 Statistics & Finance I
Elective *
4th STAD37 Multivariate Analysis
STAD70 Statistics & Finance II
STAD57 Time Series Analysis
Elective *

* Electives must be two of: APM462 Nonlinear Optimization, CSCC11 Machine Learning and Data Mining, MATC37 Introduction to Real Analysis, STAC51 Categorical Data Analysis, STAC58 Statistical Inference, STAC63 Probability Models, STAD68 Advanced Machine Learning and Data Mining, STAD94 Statistics Project

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Machine Learning & Data Mining Stream

Machine learning and Data Mining is a dynamic new field at the intersection of Statistics and Computational science, driven by the large-scale, heterogeneous data that are increasingly becoming available from social media, medical records, financial transactions etc. The stream concentrates on the theory and computational techniques for automatically gaining insight from such data. Typical career options include positions as a Business Intelligence Analyst/Developer, Data Scientist, and Predictive Modeler.
For detailed information about the program's requirements, please check the Calendar.

Suggested program of study for Machine Learning & Data Mining stream
Year \ Semester Fall Winter
1st CSCA08 Intro to Computer Programming
CSCA67 Discrete Mathematics for CS
MATA31 Calculus I
CSCA48 Intro to Computer Science
MATA37 Calculus II
MATA23 Linear Algebra I
2nd CSCB07 Software Design
MATB24 Linear Algrebra II
MATB41 Multivariate Calculus I
STAB52 Intro to Probability
CSCB20 Intro to Databases & Web Apps
MATB61 Linear Programming & Optimization
STAB57 Intro to Statistics
3rd CSCC11 Machine Learning and Data Mining
CSCC37 Intro to Numerical Algorithms
STAC62 Stochastic Processes
STAC67 Regression Analysis
STAC58 Statistical Inference
Elective *
Elective *
Elective *
4th STAD37 Multivariate Analysis
Elective *
STAD68 Advanced Machine Learning & Data Mining
Elective *

* Electives must be five C- or D-level CSC, MAT, or STA courses (excluding STAD29)

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Statistics Major

The Major program in Statistics integrates the study of three basic themes: a) the fundamental concepts and methods of statistical analysis, b) their theoretical foundations from mathematics and probability theory, c) the practical application of statistical data analysis using appropriate software tools. The program prepares students for careers as Statisticians/Biostatisticians, Data Analysts, and Market Researchers, in the government, business, health, and industry sectors, as well as for graduate study in Statistics or other subjects with strong quantitative focus.
For detailed information about the program's requirements, please check the Calendar.

Suggested program of study for Statistics Major
Year \ Semester Fall Winter
1st CSCA08 Intro to Computer Programming
MATA31 Calculus I
MATA37 Calculus II
MATA23 Linear Algebra I
2nd MATB24 Linear Algrebra II
MATB41 Multivariate Calculus I
STAB52 Intro to Probability
MATB42 Multivariate Calculus II
STAB57 Intro to Statistics
3rd STAC67 Regression Analysis
Elective *
Elective *
Elective *
4th Elective *
Elective *
Elective *

* Electives must be four C- or D-level STA courses plus an extra two C- or D-level ACT, CSC, MAT, or STA courses (excluding STAD29)

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Statistics Minor

This program offers students a deeper theoretical and practical knowledge of the statistical/quantitative methods applied in their respective major areas of study.
For detailed information about the program's requirements, please check the Calendar.

Suggested program of study for Statistics Minor
Year \ Semester Fall Winter
1st CSCA08 Intro to Computer Programming
MATA31 Calculus I
MATA37 Calculus II
MATA23 Linear Algebra I
2nd STAB52 Intro to Probability STAB57 Intro to Statistics
3rd STAC67 Regression Analysis Elective *

* Elective must be one C- or D-level STA course (excluding STAD29)

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Applied Statistics Minor (STARTING FALL 2013)

This program is designed for students in non-mathematical disciplines who want or need more statistical training. The program contains a suite of courses that are primarily application oriented. The courses in the program are focused on methods and interpretation as opposed to mathematics or theory.
For detailed information about the program's requirements, please check the Calendar.

Suggested program of study for Applied Statistics Minor
Year \ Semester Fall Winter
1st CSCA20 Computer Science for the Sciences
STAB22 Statistics I
STAB27 Statistics II
Elective *
2nd STAC32 Applications of Statistical Methods Elective *
3rd STAC50 Data Collection STAD29 Stats for Life & Social Scientists

* Electives must be two ACT, CSC, MAT, or STA courses

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Co-op Option

The specialist and major programs are eligible for UTSC's co-operative education program. The Co-Op option is designed to provide valuable work experience, by offering students the chance to complete three work-terms alongside their academic studies. For more information about ths option, please check the Co-Op website. Below are some of our students' recent work-term placements:

  • Student Business Analyst, BI and Planning Systems at Lafarge Canada (Summer '13)
  • Data Analyst at PricewaterhouseCoopers (Winter '13)
  • Analyst, Pension Outsourcing at Morneau Shepell (Winter '13)
  • Co-op, Commercial Operations at Sanofi Pasteur (Fall '12)
  • Data Analyst, Investment Finance Business at Ontario Teachers' Pension Plan (Summer '12)
  • Junior BI Developer at the Ministry of Health and Long Term Care (Fall '11)
  • Business Stystems Analyst at RBC Financial group (Summer '10)

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Contact

If you have questions about our programs, please email us below:
Dr. Sotirios Damouras (Statistics Specialist program supervisor)
Dr. Mahinda Samarakoon (Statistics Major & Minor program supervisor)
Dr. Ken Butler (Applied Statistics Minor program supervisor)

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