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Post-Baccalaureate Diploma - Business Analytics

Program Code : NA | Institute : University of the Fraser Valley | Campus : Abbotsford
University of the Fraser Valley
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$ 150.00 CAD
Superfast Offer Speed
99.3% Offer Letter Success Rate
  • Program Level2-Year Graduate Diploma
  • Duration2 Year
  • Program Fee $ 20700.00 CAD |
  • Waitlisted Intakes Jul 2026
  • Post Graduation Work PermitNo
  • Spouse OWP During Study Not Eligible
  • Co-op AvailabilityNo
  • ScholarshipNO

Institute Features


  • Institute TypePublic
  • DLI Number O19395299642
  • Campus Address : 33844 King Rd, Abbotsford, BC V2S 7M7, Canada

Program Description

<p>The <strong>Post-Baccalaureate Diploma in Business Analytics</strong> at the University of the Fraser Valley (UFV) is designed to equip students with the knowledge and technical skills necessary to transform data into valuable insights for strategic business decision-making. Business Analytics helps organizations use technology, data, and statistical techniques to uncover patterns, predict trends, and optimize operational efficiency.</p><p>This interdisciplinary program brings together expertise from the <strong>School of Business</strong>, <strong>School of Computing</strong>, and the <strong>Department of Statistics</strong> (Faculty of Science) to offer a well-rounded curriculum. Students will learn how to structure unstructured data sources, apply predictive modeling techniques, and deliver data-driven recommendations in an ethical and responsible manner.</p><p>The program is delivered in-person and provides a comprehensive blend of business, computing, and statistical courses. Through carefully designed courses, learners will master the art of data extraction, manipulation, and interpretation. They will also gain expertise in the use of cutting-edge tools and technologies, such as SQL, R, Python, and data visualization software, to tackle complex data problems and support decision-making processes.</p><p>Graduates of this program will be well-prepared for roles such as Data Analysts, Business Analysts, or Data Scientists, and they will have the foundational skills to pursue further studies or certifications in analytics and related fields.</p>

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Admission Requirements

<p>To be eligible for admission into the Post-Baccalaureate Diploma in Business Analytics at UFV, applicants must have completed an undergraduate degree in a relevant field with a minimum overall average of <strong>60% or above</strong>.<br></p>

Overall Band 6.5
Reading 6.0
Writing 6.0
Speaking 6.0
Listening 6.0

Overall Score 61.0
Reading 50.0
Writing 60.0
Speaking 50.0
Listening 50.0

Overall Score 88.0
Reading 20.0
Writing 20.0
Speaking 20.0
Listening 20.0

Overall Score 110.0
Overall Score 110.0

Career Opportunities

<p>Graduates of the Post-Baccalaureate Diploma in Business Analytics will be well-equipped to pursue various roles in the rapidly growing field of data analytics and business intelligence. Potential career paths include:</p><ul><li><p><strong>Data Analyst</strong><br>Analyze data to provide actionable insights for business decisions.</p></li><li><p><strong>Business Analyst</strong><br>Bridge the gap between business operations and IT by analyzing processes and systems.</p></li><li><p><strong>Data Scientist</strong><br>Use advanced algorithms and machine learning to extract meaningful patterns from large datasets.</p></li><li><p><strong>Data Visualization Specialist</strong><br>Create visual representations of data to help organizations make informed decisions.</p></li><li><p><strong>Operations Analyst</strong><br>Improve operational efficiency by analyzing data related to processes and workflows.</p></li><li><p><strong>Market Research Analyst</strong><br>Analyze market conditions to help companies understand product potential and consumer preferences.</p></li><li><p><strong>Business Intelligence Analyst</strong><br>Use data to help organizations develop strategies and improve performance.</p></li><li><p><strong>Consultant (Business Analytics/Big Data)</strong><br>Provide expert advice to organizations on how to optimize data use for better business outcomes.</p></li></ul>

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