D553: Data Analytics for Accountants II

Data Analytics for Accountants II moves from analytics literacy to analytics application — equipping students to analyze and present data in ways that actually forecast and recommend, not just describe.

What D553 covers

The course reframes the accountant's role: no longer just chronicling profits and expenses, accountants increasingly leverage data to predict the future and advise leadership on the right course of action. Coverage spans auditing, managerial accounting, tax accounting, and financial reporting, as students complete a professional scenario requiring predictive analysis and a presented course of action.

Notably, this course explicitly covers content that appears in the data-analysis portions of both the CPA and CMA exams, giving it direct professional-certification relevance beyond the M.S. Accounting degree itself.

The D553 performance assessment

Expect a performance assessment involving a professional scenario that spans one or more accounting sub-disciplines (audit, tax, managerial, or financial reporting), requiring predictive analysis of the given data and a clearly presented, data-supported recommendation for a course of action.

Key topics in D553

• Predictive analytics applied across accounting sub-disciplines
• Forecasting techniques
• Data-driven recommendations for auditing, tax, and financial reporting scenarios
• CPA and CMA exam-aligned data-analysis content

Writing tips for D553

Follow the task instructions and rubric line by line

WGU performance assessments for D553 are graded against a fixed rubric, not classroom "vibes" — every rubric line has to be visibly addressed, usually with a labeled heading that mirrors the rubric language. Skipping a rubric point because it seems minor is the single most common reason a competent task submission comes back "Not Yet Competent" for revision.

Use real, specific numbers and named scenarios, not generalities

WGU evaluators are trained to distinguish genuine analysis from a paraphrased textbook summary. Ground your submission in the specific company, dataset, or scenario the task provides (or that you're asked to select), and show your work — calculations, journal entries, or supporting schedules — rather than only stating a conclusion.

Because WGU is self-paced, don't let "no deadline pressure" become no submission

There's no weekly due date forcing progress, which means procrastination costs more at WGU than at a traditional term-based school — a stalled task can quietly eat weeks of a term. Treat your own target date for each D553 assessment as a real deadline.

Why students seek help with D553

Because this course explicitly aligns with CPA and CMA exam content, students sometimes underestimate how rigorously the predictive-analysis component is graded — a recommendation without quantified, data-supported justification behind it falls short of what both the rubric and the professional-exam-aligned standard expect.

How GradeEssays helps with D553

Send your professional scenario and data, and your writer will build a properly quantified predictive analysis and a clearly justified recommendation — matching the rigor this CPA/CMA-aligned course is specifically designed to build.

Prerequisites and program context

D553 requires Data Analytics for Accountants I (D552) as a prerequisite.

• Master of Science in Accounting, Auditing Specialization
• Master of Science in Accounting, Financial Reporting Specialization
• Master of Science in Accounting, Management Accounting Specialization
• Master of Science in Accounting, Taxation Specialization

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