UFV Academic Calendar 2013/14

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Mathematics and Statistics

Data Analysis Post-degree certificate

Data analysis is the science of correctly collecting data, assessing it for trustworthiness, extracting information from it, and presenting it in a comprehensible informative way. These skills are vital to institutions such as government, business, or health care where sound decisions must be made based on data and the way it is interpreted.

Students will acquire the skills needed to extract reliable information from large data sets. With carefully designed courses taken in both computing and statistics, students will gain the data-base skills needed to house, extract, manipulate, and maintain data, and will learn the statistical techniques needed to collect data correctly, assess its quality, analyze it, and present the information effectively to decision makers. The industry standard statistical software environments SAS and R will be used throughout.

Entrance requirements

1. A Bachelor's degree from a recognized institution.

Note: Students currently earning a university degree may enrol in the courses of the Data Analysis Post-degree certificate, provided they meet the course-prerequisites. They will be granted credit for having completed the certificate when they have met its requirements, and have fulfilled the requirements of their degree.

2. One of the following introductory statistics courses:

  • STAT 104, Introductory Statistics with at least a B+
  • STAT 106, Statistics I with at least a B
  • MATH 270/STAT 270, Introduction to Probability and Statistics
  • STAT 271, Introduction to Data Analysis and Statistical Modelling

3. One of the following programming courses:

  • COMP 150, Introduction to Programming
  • COMP 152, Introduction to Structured Programming
  • COMP 155, Object Oriented Programming (recommended)

When to apply

Applications are accepted for entrance to the Fall semester. For application deadlines, see Specific intake application process.

How to apply

Submit the application fee along with your UFV application for admission form to the Office of the Registrar (OReg). You can apply online or download an application form at ufv.ca/admissions/admissions/apply. Application forms are also available from any OReg or Student Services office.

International students can find information on how to apply at ufv.ca/international.

Additional documents required for a complete application:
• Official transcripts (or interim transcripts) of all post-secondary institutions attended showing grade/course achievement as per program entrance requirements. To be considered official, transcripts must be sent directly to UFV from the originating institution; see the Transfer Credit section for details.

Fees and additional costs

See the Fees and Other Costs section.

Program requirements

Students must complete nine courses, for a total of 27 credits. The certificate can be earned in about 10 months, beginning in September and ending in June.

Required courses:

Course Title Credits
STAT 271 Introduction to Data Analysis and Statistical Modelling 3
STAT 272 Statistical Graphics and Languages 3
CIS 230 Databases and Data Management Systems 3
COMP 331/STAT 331 Data Quality 3
STAT 315 Applied Regression Analysis 3

Four courses chosen from the following:

Course Title Credits
STAT 330 Design of Experiments 3
STAT 350 Survey Sampling 3
STAT 402 Applied Generalized Linear Models and Survival Analysis 3
STAT 430 Time Series and Forecasting 3
STAT 470 Applied Multivariate Statistical Analysis 3
STAT 431/COMP 431 Data Mining 3
CIS 430 Advanced Database Topics 3
CIS 385 Project Management 3

Course repetition

A maximum of three repeated courses are permitted without dean’s approval.


At least 21 credits toward the certificate must be taken at UFV.

Graduation requirements

Students must have a minimum GPA of 2.0 on all nine courses (27 credits) required to complete the program.

To graduate from the data analysis certificate, students must have completed the requirements of a university degree.

Course listings

For complete details on courses see the MATH or STAT course descriptions section.