Location:

Jeffery Hall

Room number:

310

Telephone:

Email:

Department Head:

Dr. Jamie Mingo

**Undergraduate Studies Chair:**G. Smith**Graduate Studies**J. Mingo**Coordinator**:

Mathematicians seek out patterns, construct rigorous arguments, articulate assumptions, appreciate the value of a precise definition, analyze mathematical models, and create beautiful structures. Statisticians produce trustworthy data, extract meaning and draw practical conclusions from data, test conjectures, provide mathematical evidence, and critique the reasoning of others. In both cases, these skills have a surprising ability to help make sense of the physical, biological, artistic, psychological, economic, social, and philosophical worlds. As a consequence, quantitative expertise is in high demand on the job market. Moreover, rankings of occupations invariably list multiple careers in mathematics and statistics among the very best.

Meet one of our Math Professors, Alan Ableson:

**Specialization in Biology and Mathematics**An intensive course of study with approximately two-thirds of your courses within the discipline with a combination of courses within Biology.

**Specialization in Computing and Mathematics**

An intensive course of study with approximately two-thirds of your courses within the discipline with a combination of courses within Computing.

**Specialization in Mathematical Physics**

An intensive course of study with approximately two-thirds of your courses within the discipline.

**Major in Mathematics or Statistics**A major is an intensive course of study in one discipline, with approximately half of your courses within the discipline with room for an optional minor in any other Arts and Science discipline.

**Minor in Mathematics or Statistics**A minor is a less intensive course of study in the discipline that must be combined with a major in another discipline.

**General in Mathematics or Statistics**

A less intense course of study leading to a 3-year degree.

**Medial in Mathematics or Statistics**A dual course of study in Mathematics or Statistics and any other Arts discipline.

**Minor in Mathematics or Statistics**

A minor is a less intensive course of study in the discipline that must be combined with a major in another discipline.

For a full list of Degree Plans, see the Academic Calendar

**MASc****MSc Pattern I (Thesis)****MSc Pattern II (Project)****PhD**

**MATH110: Linear Algebra** **(Full-year)**

For students intending a medial or major concentration in Mathematics or Statistics. Provides a thorough introduction to linear algebra up to and including eigenvalues and eigenvectors.

**MATH111: Linear Algebra** **(Full-year)**

An introduction to matrices and linear algebra. Emphasis on applications to biological and economic systems and to computer applications. Topics covered will include systems of equations, eigenvalues, recursions, orthogonality, regression analysis, and geometric transformations.

**MATH112: Introduction to Linear Algebra** **(Winter term)**

A brief introduction to matrix algebra, linear algebra, and applications. Topics include systems of linear equations, matrix algebra, determinants, the vector spaces R^{n} and their subspaces, bases, co-ordinates, orthogonalization, linear transformations, eigenvectors, diagonalization of symmetric matrices, quadratic forms.

**MATH120: Differential and Integral Calculus** **(Full-year)**

A thorough discussion of calculus, including limits, continuity, differentiation, integration, multivariable differential calculus, and sequences and series.

**MATH121: Differential and Integral Calculus** **(Full-year)**

Differentiation and integration with applications to biology, physics, chemistry, economics, and social sciences; differential equations; multivariable differential calculus.

**MATH124: Differential and Integral Calculus II** **(Winter term)**

Topics include techniques of integration, differential equations, and multivariable differential calculus.

**MATH126: Differential and Integral Calculus** **(Full-year)**

Differentiation and integration of the elementary functions, with applications to the social sciences and economics; Taylor polynomials; multivariable differential calculus.

The Mathematics and Statistics department at Queen’s is multi-faceted. It has several areas of study with ties to Applied Science, Arts & Science, Apple Math, and notable Mathematics and Engineering. Modern communications, control, electrical, mechanical and mechatronic systems require sophisticated mathematical models and analysis. This unique engineering program meets this challenge – the versatile graduates are not only qualified to pursue careers in engineering, but they possess the mathematical skills and insights needed to succeed in the ever changing workplace.

Some of our Math and Stats grads work in the following industries:

- Accounting
- Actuarial Science
- Aerospace
- Applied Science
- Architecture
- Astronomy
- Auditing
- Banking
- Biomedical Engineering
- Business Administration and Management
- Computer Engineering
- Credit Management
- Data Mining and Processing
- Demography
- Economics
- Education
- Electronics Engineering – Electrical, Mechanical, Industrial Environmental
- Epidemiology
- Financial Analysis
- Information Science
- International Development
- Investment
- Law
- Medicine
- Planning - strategic
- Real Estate & Property Development
- Risk Management
- Robotics
- Securities
- Software Design
- Statistics
- Surveying and Cartography
- Urban and Regional Planning

Career paths for Math and Statistics grads handout from Career Services >

MCV 4U Calculus and Vectors, or equivalent

Note: Subject of Specialization in Mathematical Physics also requires 4U Physics or recognized equivalent

**MATH 110/6.0 Linear Algebra**

MATH 110/6.0 is an advanced course in linear algebra, primarily designed for those students who intend to pursue a Mathematics or Statistics Plan. Even if they are not intending to study Mathematics or Statistics at an upper-year level, students with a strong interest or background in mathematics (particularly those planning to study Physics or Computing) are encouraged to consider this course. Any student intending to pursue a Plan in Mathematics or Statistics should choose this course. It is also a good elective for any Arts or Science student.

**MATH 111/6.0 Linear Algebra**

MATH 111/6.0 is a course in linear algebra, primarily designed for students who intend to pursue a science discipline other than Mathematics or Statistics. Students who are planning to pursue a Plan in Physics or Computing in upper-years should take this course, or MATH 110/6.0. Students intending to pursue studies in Chemistry may wish to consider this course in lieu of MATH 112/3.0. It may also be of particular interest to students in Economics who have a strong mathematical background. It is a good elective for any student in Arts or Science.

**MATH 112/3.0 Introduction to Linear Algebra**

MATH 112/3.0 is an introductory course in linear algebra. Students intending to pursue a Plan in Chemistry should take this course, or one of the full-year linear algebra courses noted above. It may also be of particular interest to students in Economics, Geography, Political Studies, Psychology, or Sociology, as it will help prepare students for the second-year courses in statistics required in these Plans. It is a good elective for any student in Arts or Science.

**MATH 120/6.0 Differential and Integral Calculus**

MATH 120/6.0 is an advanced course in calculus, primarily designed for those students who intend to pursue a Mathematics or Statistics Plan. Even if they are not intending to study Mathematics or Statistics at an upper-year level, students with a strong interest or background in mathematics (particularly those planning to study Physics, Chemistry, Geology or Computing) are encouraged to consider this course. It is also a good elective for any Arts or Science student.

**MATH 121/6.0 Differential and Integral Calculus**

MATH 121/6.0 is a course in calculus, primarily designed for students who intend to pursue a science discipline other than Mathematics or Statistics. Students who are planning to pursue a Plan in Physics, Chemistry, Computing, Geology or Environmental Science in upper-years should take this course, or MATH 120/6.0. It may also be of particular interest to students in Economics who have a strong mathematical background, instead of MATH 126/6.0. It is a good elective for any student in Arts or Science.

**MATH 124/3.0 Differential and Integral Calculus II**

This course in Calculus is designed primarily for students who hold advanced standing (IB, AP or GCSE-level) in differential calculus. The combination of the Transfer credit you receive (MATH 123/3.0) and this course (MATH 124/3.0) are equivalent to MATH 121/6.0 for all academic purposes. Students who are eligible will receive transfer credit for MATH 123/3.0 (Differential Calculus, which is only available as a transfer credit) and will register in MATH 124/3.0 (Integral Calculus) for the Winter Term. They will join the MATH 121/6.0 classroom in January and continue their integral calculus training.

**MATH 126/6.0 Differential and Integral Calculus**

This is an introductory course in calculus, primarily designed for students in Arts who have not previously taken calculus at the Grade 12 level. Science students should *not* register in this course. Students who are planning to pursue a Plan in Economics should take this course, or MATH 121/6.0. It is also a good elective choice for any Arts student. It may also be of particular interest to students in Geography, Political Studies, Psychology, or Sociology, as it will help prepare students for the second-year courses in statistics required in these Plans. This course is open only to Arts students.

One of our basic principles is that our graduate students acquire both breadth and depth of knowledge. Breadth is achieved by our system of core courses which provides students with the basis of modern mathematics and statistics. Integration into research teams and active participation in seminars leads to depth of knowledge and the opportunity to take part in cutting edge research in mathematics and statistics. Much of the research activity of the Department is centered around our seminars where faculty, grads and visitors develop and report on new research.

*“I can’t put a measure on how much I’m enjoying the experience. Queen’s is a fantastic place to be in terms of research opportunities. They have such a large number of well-respected researchers, and they never hesitate to share their expertise with you. Our department is big enough to do meaningful research and small enough to be close-knit. There’s nowhere else I’d rather be.” Patrick Reynolds, Ph.D., 2010*

**M.Sc. Pattern I **- 18-24 months**M.Sc. Pattern II- **12 months**M.A.Sc.: **18-24 months**Ph.D**.: 4 years

- Algebra and Number Theory
- Analysis, Geometry and Topology
- Applied Mathematics
- Mathematics & Engineering
- Probability and Statistics

**M.Sc, & M.A.Sc.**: Up to $21,750 per year

**Ph.D**.: $21,750 minimum per year. The funding package can consist of teaching assistantship or teaching fellowship, research assistantships, internal awards and external awards. We encourage all students to apply for additional funding through NSERC, OGS and other sources. Entering graduate students who are awarded federal government tri-council awards are automatically provided a top-up from Queen’s in the first year of their program.

Jennifer Read

Graduate Assistant**Phone:** (613) 533-2405**E-mail: **gradapp@mast.queensu.ca

Rhodes Scholar, **Nithum Thain**, completed his BScH in 2006, scoring a perfect GPA along the way while being the captain of the fencing team at Queen’s, where he won two provincial gold medals. He has enjoyed a wide range of professional opportunities – starting off at Empire Avenue as the VP of Research working on the algorithms that ran their online gaming platform, and followed by being a business development analyst at createLIVE. Currently running his own consulting company, Insight Capital Partners, Thain is helping both sides in the capital raising equation.