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Domestic students should apply using a Conestoga College Program Application Form.

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International students should apply online. Note: not all programs are open to international students.

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Courses - September 2022

Level 1

Course Details

Conestoga 101
CON0101

Description:

This self-directed course focuses on introducing new students to the supports, services, and opportunities available at Conestoga College. By the end of this course, students will understand the academic expectations of the Conestoga learning environment, as well as the supports available to ensure their academic success. Students will also be able to identify on-campus services that support their health and wellness, and explore ways to get actively involved in the Conestoga community through co-curricular learning opportunities.

  • Hours: 1
  • Credits: 0
  • Pre-Requisites:
  • CoRequisites:

Project Management
MGMT8665

Description:

Project management has become central to the operations of any organization. This course focuses on the general principles of project management as well as Agile Project Management and its methodologies. This course takes a holistic, integrated approach to managing projects, exploring both technical and managerial challenges. Students will apply skills gathered from examining real-world cases into simulated projects done in the classroom. This course will help prepare students to write the Project Management Institute (PMI) exams to become a Certified Associate in Project Management (CAPM).

  • Hours: 56
  • Credits: 4
  • Pre-Requisites:
  • CoRequisites:

Fundamentals of Programming
PROG8490

Description:

Dynamic object-oriented programming language can be used in many kinds of software development. Python is designed with features to facilitate data analysis and visualization. We will design, code, test, visualize, analyze, and debug Python functions and programs. We will focus on the problem-solving ability and creativity that companies are increasingly looking for.

  • Hours: 56
  • Credits: 4
  • Pre-Requisites:
  • CoRequisites:

Data Modelling and Programming for Analytics
PROG8500

Description:

Before large data sets can be useful to the stakeholder you need to utilize a variety of useful libraries for analytics and descriptive analytics programs. This course will show you how to explore, grasp, and draw meaning from data sets including how to deal with missing data as well as visualizing the data for ease of communication.

  • Hours: 70
  • Credits: 5
  • Pre-Requisites:
  • CoRequisites:

Statistical Applications for Data Analytics I
STAT8020

Description:

The field of statistics is the science of learning from data that can offer essential insight to determine which data and conclusions are trustworthy. When statistical principles are correctly applied, statistical analyses tend to produce accurate results. With a variety of mathematical theories needed throughout the predictive analytics field, students will review areas including matrix algebra, hypothesis testing, linear and non-linear regression modelling, estimation models and bootstrapping.

  • Hours: 70
  • Credits: 5
  • Pre-Requisites:
  • CoRequisites:

Multivariate Statistics I
STAT8030

Description:

Through the use of theory and applications students will be introduced to various multivariate statistical analysis methods. An emphasis will be placed on multiple regression, correlation, discriminate analysis, classification and ANOVA/MANOVA. Students will work to develop models for multivariate data and use samples of data to predict behaviour about unknown variables.

  • Hours: 56
  • Credits: 4
  • Pre-Requisites:
  • CoRequisites:

Level 2

Course Details

Career Management
CDEV8130

Description:

This course focuses on career management skills needed to navigate the evolving workplace. Students will evaluate their skills, attitudes, and expectations within their chosen careers and explore emerging trends in the workplace. Students will refine their networking strategies and create marketing documents to position them for success. Mock interviews will provide the opportunity for practice, feedback, and reflection as students prepare for future interviews. Students will explore communication strategies that support workplace success and advancement. By the end of this course, students will have created a personalized career management plan.

  • Hours: 28
  • Credits: 2
  • Pre-Requisites:
  • CoRequisites:

Management and Leadership Essentials
MGMT8760

Description:

In this course, students will enhance their understanding of leadership and management approaches in Canadian organizations. Emphasis on developing effective management strategies including, professional communication, planning, decision making, conflict resolution, effective team building and navigating change. Key concepts include professionalism, adaptability, boundaries and resourcefulness.

  • Hours: 42
  • Credits: 3
  • Pre-Requisites:
  • CoRequisites:

Programming Statistics for Business
PROG8510

Description:

Using statistical computing software, students will learn to delve into data sets and draw conclusions using statistical techniques such as confidence intervals, t-tests, and statistical inference. Students will also practice visualizing their findings in a way that will effectively communicate their conclusions to the business stakeholders.

  • Hours: 70
  • Credits: 5
  • Pre-Requisites:
  • CoRequisites:

Advanced Data Modelling and Programming
PROG8520

Description:

This course will build on the predictive analytics tool kit by utilizing both supervised and unsupervised learning methods to predict both events and quantities. Building models such as linear and logistic regression, time series analysis, and k-means will be covered.

  • Hours: 42
  • Credits: 3
  • Pre-Requisites:
  • CoRequisites:

Multivariate Statistics II
STAT8040

Description:

Based on the principles of multivariate statistics, students will use multivariate analysis to address the situations where multiple measurements are made on each experimental unit and the relations among these measurements and their structure. Students will focus on the study and measurement of relationships, data and patterns, and computations of multidimensional regions.

  • Hours: 56
  • Credits: 4
  • Pre-Requisites:
  • CoRequisites:

Statistical Applications for Data Analytics II
STAT8050

Description:

Statistics are important for business so stakeholders can be informed about risks, evaluate the credibility and usefulness of information, and make appropriate decisions. This course will cover technical aspects of key areas that generate and use data such as management and finance, healthcare, graphs and networks, Internet of Things, Big Data standards, and bench-marking of systems.

  • Hours: 56
  • Credits: 4
  • Pre-Requisites:
  • CoRequisites:

Program outcomes

  1. Develop high quality software solutions to collect, manipulate and mine data sets that satisfy the business requirements of organizations
  2. Analyze different system architectures and data storage technologies in order to select appropriate solutions that support data analytics requirements.
  3. Design data models that meet the needs of the predictive analysis process.
  4. Develop software solutions that align with the predictive analysis process to produce desired reports.
  5. Analyze existing data visualization methods used in business to recommend customizations that align with the predictive process.
  6. Customize business intelligence tools to support evidence-based decision making based on the predictive process.
  7. Employ environmentally sustainable practices within the field of data analytics.
  8. Predict industry trends and collect insights to expand the organization’s entrepreneurial strategies and generate new opportunities.
  9. Examine relationships among multiple variables simultaneously to predict the effect of proposed changes to business.