GMAT Data Insights Format and Syllabus

Anchor the plan to the official structure: 20 questions in 45 minutes and five question families. Data Insights contributes to the current GMAT Total Score alongside Quantitative and Verbal Reasoning, so it should not be postponed until the end of preparation. A diagnostic should report performance by question type, content demand, information selection, calculation, inference and time rather than giving only one DI total.

Data Sufficiency asks whether the information supplied is enough to answer a quantitative question, not necessarily for the final value. Define the target, list the conditions and test each statement independently before combining them under the official answer framework. Avoid assuming a diagram is drawn to scale or adding facts not given. Counterexamples are especially useful when deciding whether more than one value remains possible.

Multi-Source Reasoning requires candidates to move among text, tables, graphics or other tabs, notice agreements and conflicts and answer several questions from the source set. Build a short source map identifying purpose, units, dates and viewpoint. Read the exact question before collecting details. When a source is irrelevant, excluding it is part of the reasoning rather than a failure to read everything.

Table Analysis and Graphics Interpretation require accurate filtering, sorting, unit control and inference. For a table, identify the columns, definitions and relevant condition before sorting. For a graph, read axes, scales, legends and category boundaries before estimating or calculating. The on-screen calculator can reduce arithmetic burden, but it cannot choose the correct denominator, unit or comparison. Write the relationship first.

Two-Part Analysis may be quantitative, verbal or mixed and can ask for dependent or independent decisions. Read both column headings and the complete task, then determine whether one choice can satisfy both columns. Multi-part questions require careful completion of every response component. During review, classify errors as task interpretation, missing evidence, calculation, interface selection, unit or timing so the next practice set targets the real cause.

MKS Education teaches Data Insights through physical, online and hybrid classes, recordings in every mode, iOS and Android practice, physical books, an eight-week guided course, six-month access and continued support. Students needing another suitable explanation may join suitable classes without another class charge subject to schedules and seats. MKS can provide practice and feedback but cannot guarantee a score, admission, scholarship or funding.

Diagnose first

Use a current official-format baseline and classify Quant Verbal and Data Insights errors before choosing weekly priorities.

Match the goal

Connect the test date and preparation schedule to official programme and scholarship deadlines.

Verify claims

Use mba.com and official business-school pages for changing format, fees, dates and score-use policies.