# Statistics, Bachelor of Science

1 year at RDC - 3 years at most universities

### Contact Information

**One Year University Transfer Program:**

For the most current university program and transfer information, see the Planning Guides in Academic Advising.

Red Deer College offers the first year of studies toward BSc Specialization in Actuarial Sciences, Mathematics, Computational Science, Mathematics & Economics, and Mathematics & Finance; BSc Specialization or Honors in Statistics.

The courses offered in this program can be transferred to most universities.

**Related Link:** Admission requirements for specific programs will often refer to Alberta Grade 12 course groups. Visit the Admissions page for detailed group descriptions.

1. Minimum average of 60% and no mark below 50% in:

- ELA 30-1
- Mathematics 30-1
- Mathematics 31
- One of Biology 30, Chemistry 30, Physics 30, Computing Science (CSE) Advanced Level - Career and Technology Studies (CTS) (5 credits)
- 30-level subject from Group A or C (science recommended)

**OR**

2. Mature Student:

You must be 19 years of age or older, out of school for at least one full year before the program starts, and have a minimum average of 60% and no mark lower than 50% in the following courses or their equivalents:

- ELA 30-1
- Mathematics 30-1
- Mathematics 31
- One of Biology 30, Chemistry 30, Physics 30, Computing Science (CSE) Advanced Level - Career and Technology Studies (CTS) (5 credits)

**Note:** At least one other 30-level science subject will be required for science options.

**Note:** Applicants whose first language is not English must demonstrate English language proficiency in addition to the program admission requirements.

You must pass 20 term university transfer courses or a minimum of 60 credit hours, and achieve a minimum cumulative GPA of 2.00 to receive a Diploma in University Transfer Studies.

Apply for Bachelor of Science Math or Statistics or Math and Economics

Please note these credits are U of A credits.

**Suggested Pattern Year 1 Mathematics, Computational Science (Mathematics) & Specialization or Honors in Statistics**

**ENGL 219/ENGL 220**(6 credits)**MATH 203/MATH 204/MATH 221**(9 credits)**CMPT 201**(3 credits)- 4 Options (12 credits)

## ENGL 219

Explore university-level essay composition and the skills related to critical reading, interpretation, and argument. Prerequisite: ELA 30-1 or equivalent. NOTE: Credit will not be granted for both ENGL 219 and ENGL 210.

## ENGL 220

The course explores a range of literary genres while continuing to focus on deepening the required structural and critical skills related to thinking and writing about literature. Pre-requisite: Engl 219 NOTE: Credit will not be granted for both ENGL 220 and 210.

## CMPT 201

This course provides an overview of computing science concepts for students with little or no programming background. Topics include: representation of data; machine architecture; operating system concepts; properties of algorithms and computational, problems; syntax of a high level procedural programming language; basic data types and control structures. Student do introductory programming for a portion of the course. Intended for students with no computing experience.

## MATH 203

Introduction to Calculus. Review of analytic geometry. Differentiation of elementary, trigonometric, exponential, and logarithmic functions. Applications of the derivative. Integration. Fundamental Theorem of Calculus. Prerequisite: Math 31 or equivalent. Note: You should take MATH 202 instead if you have less than 70% in Math 31. You cannot have credit in both MATH 202 and 203.

## MATH 204

Differentiation and integration of trigonometric, exponential, and logarithmic functions. Indeterminate forms and improper integrals. Techniques of integration. Applications. Prerequisite: MATH 202 or 203 or equivalent. Note: You cannot have credit in both MATH 204 and MATH 213.

## MATH 221

Solving linear systems of equations, matrix algegra, determinants, vectors, lines and planes, subspaces of n-space, and applications. Introduction to linear transformations, eigenvalues and eigenvectors. Prerequisite: Math 30-1

**Suggested Pattern Year 1**

**Mathematics and Statistics**

**MATH 202**(or**MATH 203**)**/MATH 204/MATH 221**(9 credits)- 5 Non-Science Options (15 credits)
- 2 Options (6 credits)

## MATH 202

Introduction to Calculus with skill development lab. Review of analytic geometry. Differentiation of elementary, trigonometric, exponential, and logarithmic functions. Applications of the derivative. Integration. Fundamental Theorem of Calculus . Prerequisite: Math 30-1. Note: You should take Math 203 instead if you have at least 70% in Math 31. You cannot have credit in both Math 202 and 203.

## MATH 203

Introduction to Calculus. Review of analytic geometry. Differentiation of elementary, trigonometric, exponential, and logarithmic functions. Applications of the derivative. Integration. Fundamental Theorem of Calculus. Prerequisite: Math 31 or equivalent. Note: You should take MATH 202 instead if you have less than 70% in Math 31. You cannot have credit in both MATH 202 and 203.

## MATH 204

Differentiation and integration of trigonometric, exponential, and logarithmic functions. Indeterminate forms and improper integrals. Techniques of integration. Applications. Prerequisite: MATH 202 or 203 or equivalent. Note: You cannot have credit in both MATH 204 and MATH 213.

## MATH 221

Solving linear systems of equations, matrix algegra, determinants, vectors, lines and planes, subspaces of n-space, and applications. Introduction to linear transformations, eigenvalues and eigenvectors. Prerequisite: Math 30-1