Sign In
Sign Up

Applied Data Analytics Diploma

  • //applyindex.com/wp-content/uploads/2021/09/canada.png Canada
  • University/Institute Name University of Winnipeg
  • Attendance Type Hybrid (Full Time)
  • Position Duration1 year
  • Unspecified Unspecified
Apply
Get Cover Letter

Position Details (Master's)

The Applied Data Analytics Diploma equips students with the technical and strategic skills needed to turn data into actionable insights. Through hands-on learning in data modeling and visualizationgraduates gain the expertise to solve real-world problems and support data-driven decision-making across industries.

The demand for skilled professionals who can interpret, model, and operationalize data continues to grow across sectors. The Applied Data Analytics Diploma builds a strong foundation in data science, emphasizing the practical use of data analyticmodels to generate insights and inform strategic decision-making.uccessful graduates of this program shall be able to:

  • Design and implement data acquisition, management, and preparation pipelines to support analytics applications.
  • Use effective data visualizations to communicate insights, trends, and patterns.
  • Apply statisticaltechniques in real-world data science projects.
  • Evaluate legal, ethical, and societal implications of applied data analytics.
  • Recommend and apply predictive modeling approaches to solve business and operational problems.
  • Architect end-to-end solutions for deploying analytics in organizational settings.
  • Design, test, and implement data models that support forecasting and data-informed decision-making.

The Applied Data Analytics Post-Degree Diploma prepares students to seek the following professional certifications:

  • Certified Analytics Professional (CAP)
    • For more information on obtaining the CAP credential click here.
  • Certified Business Intelligence Professional (CBIP)
    • For more information on obtaining the CBIP Credential click here

Applied Statistics for Data Science, Big Data Platforms, Business Fundamentals, Data Acquisition & Management for Data Science, Data Analytics Theory & Practice, Data Visualization for Analytics, Database & Programming Essentials for Data Science, Effective Oral Communication, Effective Written Communication, Foundations of Data Science, Generative AI in the Workplace, Indigenous Insights, Project in Data Analytics, Project Management Fundamentals, Resume Building & Job Search Techniques, Topics in Data Science

Research Areas & Fields of Study involved in the position

Position Start Date

Jan 2026