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Applied Data Analytics Diploma

Programs Page

Turn Data into Insights. Turn Insights into Better Decisions.

Organizations today generate more data than ever before—but data only creates value when people know how to analyze it, uncover meaningful insights, and communicate findings that drive action.

The Applied Data Analytics Diploma prepares you with the practical technical, analytical, and business skills needed to transform complex data into clear, actionable intelligence. Through hands-on learning, you'll work with industry-relevant tools and techniques to collect, analyze, visualize, and interpret data that supports better decision-making across a wide range of industries.

Whether you're interested in business, technology, healthcare, finance, government, or research, you'll graduate prepared to help organizations solve problems, identify opportunities, and make confident, data-informed decisions.

Why Data Analytics?

Data has become one of every organization's most valuable assets. Businesses, governments, healthcare organizations, financial institutions, and non-profits all rely on data analytics to improve operations, understand customers, reduce risk, and guide strategic decisions.

As organizations continue investing in artificial intelligence, business intelligence, and digital transformation, professionals who can interpret data and communicate meaningful insights are increasingly in demand.

The Applied Data Analytics Diploma prepares you with the practical skills needed to meet that demand and build a career in one of today's fastest-growing fields.

Industry Demand: Data Skills Power Every Industry

From predicting customer behaviour and improving healthcare outcomes to optimizing supply chains and supporting business strategy, data analytics plays a critical role in how organizations operate.

Graduates can apply their skills across industries including:

  • Business and Finance
  • Healthcare
  • Government
  • Manufacturing
  • Technology
  • Insurance
  • Retail
  • Supply Chain
  • Marketing
  • Research and Consulting

Because every organization collects data, professionals who can analyze and communicate it are needed almost everywhere.

Throughout the program you will learn how to:

  • Collect, prepare, and manage data for analysis
  • Apply statistical methods to solve real-world business problems
  • Build predictive models to support decision-making
  • Create compelling dashboards and data visualizations
  • Translate complex data into clear business recommendations
  • Evaluate the ethical, legal, and social implications of data use
  • Design end-to-end analytics solutions for organizational challenges

Why PACE?

Learn from experienced industry professionals while developing the practical analytical and technical skills employers are looking for. Through hands-on projects, real-world datasets, and industry-relevant tools, you'll graduate ready to turn data into meaningful business insights.

Program highlights include:
  • Hands-on learning using real-world data and business scenarios
  • Curriculum focused on data analytics, visualization, predictive modeling, and decision support
  • Exposure to industry-relevant analytics tools and technologies
  • Industry-recognized instructors with practical analytics experience
  • Resume building and career preparation to support your transition into the workforce
  • Student membership opportunities with Transforming Data With Intelligence (TDWI) and Tech Manitoba
  • Career-focused learning that prepares graduates to solve real business problems using data.

       

    Domestic
    In-Class
    Tue, 01/12/2027 Fact SheetInternational Students

    Next Start Dates

    Tuesday, January 12, 2027

    Tuition & Fees

    $13,100: Tuition cost includes the $100.00 UWSA Fee. Costs are tentative.

    $1,000-$1,500: Textbook costs may vary depending on new, rental, used, or electronic purchasing choices. Textbooks are a requirement

    For more information regarding tuition & fees and payment options, click here.

    Click here for more information on Tuition & Fees for International Students.

    Duration

    12 months in duration, Mon-Fri, hours may vary.

    Two breaks of one week throughout the program and two weeks off for winter break.

    Who Attends

    Is This Program Right for You?

    This program is ideal if you:

    • Enjoy solving problems using data and evidence
    • Are curious about patterns, trends, and decision-making
    • Want to combine technical skills with business strategy
    • Are interested in analytics, business intelligence, or artificial intelligence
    • Want practical, career-focused skills that are in demand across industries

    Hybrid Program

    This program follows a blended learning model, combining in-class sessions, live online instruction, and scheduled online coursework to create a dynamic and adaptable educational experience.

    Courses are carefully structured to balance in-person interaction with the convenience of online learning. Live online sessions allow students to engage with instructors and classmates in real-time, while scheduled online coursework provides flexibility in when they complete assignments within set deadlines. The number and format of online courses may vary based on program needs and scheduling.

    This multi-modal approach ensures that students stay connected with their peers and instructors while developing essential workplace skills such as digital collaboration, adaptability, accountability, and effective communication. While students must follow the program’s set schedule, this blended format allows them to engage with learning in different ways, whether attending classes on campus, participating in live online discussions, or completing coursework independently. 

    Objectives & Outcomes

    Objectives

    The Applied Data Analytics Diploma prepares graduates to collect, analyze, interpret, and communicate data that supports strategic decision-making. Through hands-on learning and industry-relevant technologies, students develop the analytical, technical, and business skills needed to solve organizational challenges and generate actionable insights.

    Outcomes

    Graduates of this program will be able to:

    • Prepare and Manage Data by designing and implementing data acquisition, preparation, and management processes that support analytics initiatives.
    • Analyze Complex Data using statistical techniques and analytical methods to identify trends, patterns, and opportunities.
    • Visualize Insights by creating clear, compelling dashboards and data visualizations that support informed decision-making.
    • Develop Predictive Models to forecast outcomes and solve business and operational challenges.
    • Design Analytics Solutions by developing end-to-end analytics workflows that support organizational goals.
    • Apply Ethical Data Practices by evaluating legal, ethical, privacy, and societal considerations in data analytics.

    Admission Requirements

    Academic Requirements

    a. Undergraduate degree or college diploma in Business, Computer Science, Engineering, Mathematics, Statistics, or Physics
    or
    b. In lieu of a degree/diploma; significant work experience involving analysis of data in an organizational or applied research context may be considered on an exceptional basis

    Programming knowledge is strongly recommended.

    Work Experience

    • Applicants who have completed an IT degree or college diploma within the past two years, with coursework in Python, JSON, and SQL, are not required to have work experience.

    • For applicants without a related degree, a minimum of one year of work experience within the last five years is required using Python and SQL. Additional work experience in Java and XML is preferred.

    English Language Requirements

    Applicants whose previous education was completed outside of Canada and where English may or may not have been the medium of instruction, must submit proof of meeting one of the accepted English language proficiency measures.

    Download the UWPACE English Language Requirements (PDF) for additional English proficiency tests and programs and waiver options for the English language requirement.

    International Students

    Please visit our detailed Admission Requirements for international students.

    The University reserves the right to request English language proficiency testing result documentation for any international applicant.

    Accreditation

    Professional Certifications

    Graduates will be academically prepared to pursue industry-recognized certifications, including:

    • Certified Analytics Professional (CAP)
    • Certified Business Intelligence Professional (CBIP)

    These credentials can further demonstrate your expertise and commitment to the profession as your career progresses.

    Courses & Descriptions

    Applied Statistics for Data Science

    - -
    • Read more about Applied Statistics for Data Science

    Big Data Platforms

    - -
    • Read more about Big Data Platforms

    Business Fundamentals

    - -
    • Read more about Business Fundamentals

    Data Acquisition & Management for Data Science

    - -
    • Read more about Data Acquisition & Management for Data Science

    Data Analytics Theory & Practice

    - -
    • Read more about Data Analytics Theory & Practice

    Data Visualization for Analytics

    - -
    • Read more about Data Visualization for Analytics

    Database & Programming Essentials for Data Science

    - -
    • Read more about Database & Programming Essentials for Data Science

    Effective Oral Communication

    - -
    • Read more about Effective Oral Communication

    Effective Written Communication

    - -
    • Read more about Effective Written Communication

    Foundations of Data Science

    - -
    • Read more about Foundations of Data Science

    Generative AI in the Workplace

    - -
    • Read more about Generative AI in the Workplace

    Indigenous Insights

    - -
    • Read more about Indigenous Insights

    Project in Data Analytics

    - -
    • Read more about Project in Data Analytics

    Project Management Fundamentals

    - -
    • Read more about Project Management Fundamentals

    Resume Building & Job Search Techniques

    - -
    • Read more about Resume Building & Job Search Techniques

    Topics in Data Science

    - -
    • Read more about Topics in Data Science

    Writing for Academic Success

    - -
    • Read more about Writing for Academic Success

    Student Life

    At PACE, your success extends beyond the classroom. From the day you apply until after you graduate, you'll have access to a wide range of services designed to help you achieve your academic and career goals.

    As a PACE student, you'll benefit from:

    • A dedicated Recruitment Coach to guide you through the application and admissions process
    • Academic support services to help you succeed throughout your studies
    • Career advising including resume development, interview preparation, and job search support
    • Networking opportunities with classmates, instructors, alumni, and industry professionals
    • Student events and activities that help you build connections and engage with the PACE community
    • Access to the University of Winnipeg's downtown campus, including modern learning spaces and student amenities
    • Full access to the University Library, research resources, and academic supports
    • Accessibility Services to ensure an inclusive and supportive learning environment
    • Dedicated Indigenous Student Services, offering cultural, academic, and personal supports
    • International student supports, including settlement resources and student success services (where applicable)

    Whether you're beginning a new career, advancing in your current role, or transitioning into project management, PACE provides the resources, guidance, and community to support your success every step of the way.

    Find more information on student life at PACE here.

    Career Opportunities

    • Data Scientist
    • Data Engineer
    • Quantitative Analyst
    • Qualitative Research Analyst
    • Data Analyst
    • IT Systems Analyst
    • Business Analyst
    • Business Intelligence Analyst/Specialist
    • Data Warehouse Analyst/Developer

    Certifications

    Academic Credentials

    Upon completion of this program students will earn the Applied Data Analytics Diploma

    The Applied Data Analytics 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

    Tech Requirements

    Students must have a laptop that meets the following requirements for their program (not included in tuition).

    ⚠️ Tablets are not recommended for use in any program. Some required software may not be fully compatible with tablets, particularly Android devices. Students should ensure they have access to a laptop that meets the specifications below.
    PC hardware
    • OS: Windows 11 (64 Bit) Pro or Home version (Windows 10 would be accepted).
      Note: Windows should be up to date (e.g. 23-24H2)
    • Processor: 12th Gen Intel core i5+
    • Graphics: A strong graphics card is recommended for IT and programs that require multimedia design (e.g., NVIDIA GeForce technology); for other programs, an Intel graphics card (e.g., Intel Iris Xe Graphics) is recommended.
    • Memory (RAM): 16+ GB, DDR4+.
    • Hard Drive: 500+ GB, M.2, PCIe NVMe, SSD.
    • Connectivity: Intel Wi-Fi 5-6 AX201, 2x2, 802.11ax, Bluetooth wireless card, HDMI, USB type A and Type C.
    • Should include an HD (720P+) webcam for Zoom classes.
    Apple hardware
    • MacOS: Ventura or later
    • Processor: Apple’s M1, M2 or M3 chip with at least 8 Core CPU.
    • Graphics: 10 core GPU.
    • Memory (RAM): 16+ GB.
    • Hard Drive: 500+ GB, SSD.
    • Should include FaceTime HD (720P+) webcam for zoom classes.
    • Software to run Virtualization for Microsoft Windows:
      • Parallels Desktop or Virtual box

    Additional Comments

    Connect with the Analytics Community

    As a student in the Applied Data Analytics Diploma, you'll receive membership opportunities with leading industry organizations, providing access to professional networks, events, learning resources, and emerging trends.

    Membership opportunities include:

    • Transforming Data With Intelligence (TDWI)
    • Tech Manitoba

    These connections help you build your professional network while staying current in the rapidly evolving field of data analytics.

    Internship

    Apply what you've learned in a professional workplace through a supervised internship with one of PACE's industry partners.

    Your internship allows you to:

    • Apply your skills to real organizational challenges
    • Build practical experience before graduation
    • Expand your professional network
    • Strengthen your resume with relevant work experience
    • Develop confidence transitioning into your career

    Many students identify their internship as one of the most valuable parts of the program, providing hands-on experience that complements classroom learning.

     

    Student Success Story

    Chioma Onyekpere
    Applied Data Analytics Diploma
    Read More

    Apply Today
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