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Course profile

Analytical Writing

A workflow for turning a research question, evidence and analysis into a clear and defensible article or report.

  • Writing
  • Research
  • Analysis
  • Foundation–Intermediate

Course facts

Offered byGordon Institute Open School
Academic leadGordon AI Tutor
LevelFoundation–Intermediate
FormatOnline · Self-paced
Expected study10–14 hours
LanguageEnglish
PrerequisitesNo formal prerequisites
AssessmentExercises and final assessment
RecognitionCertificate of completion
Last reviewedSeptember 2026

Overview

Analytical writing is not simply prose added after the analysis is complete. The structure of the argument should shape what evidence is collected, which charts are built and which uncertainties are addressed.

This course follows the full workflow from question formulation to sources, evidence, analysis, visual support, drafting and revision. Learners practice making the logic of an argument visible to the reader.

The approach is suitable for research notes, policy pieces, strategy articles and evidence-based public writing across the Gordon ecosystem.

Good analytical writing makes the chain from question to evidence to conclusion easy to inspect.

Learning objectives

By the end of the course, learners should be able to:

  • turn a broad topic into a tractable analytical question;
  • build an evidence plan before drafting;
  • organize sections around claims rather than chronology;
  • use charts and tables only when they advance the argument;
  • distinguish sourced facts from inference and interpretation;
  • revise for logical continuity, evidence quality and concise expression.

Intended participants and prerequisites

Intended participants

  • students writing analytical essays or reports;
  • researchers preparing public-facing summaries;
  • contributors and editors producing evidence-based articles;
  • professionals who convert analysis into decision documents.

Prerequisites

No formal prerequisites.

The course is designed for independent online study. Learners should be prepared to check assumptions, reproduce key reasoning and complete the final assessment rather than treat the material as passive reading.

Course structure

The course is organised into six units. Each unit combines concise explanation, worked examples and short analytical exercises.

UnitSubjectPrincipal questions
1QuestionWhat exactly should the article or report explain?
2Evidence planWhich sources and analyses are required before drafting?
3Argument structureHow should claims be ordered so that each step follows from the previous one?
4Charts and tablesWhen does a visual add evidence rather than decoration?
5DraftingHow should facts, inference and uncertainty be distinguished in prose?
6RevisionHow can an analytical draft be stress-tested before publication?

Teaching and assessment

Teaching is delivered through concise lectures, technical notes, worked examples and guided exercises. AI-supported interaction may be used to explain concepts, generate additional practice and challenge a learner's reasoning, but assessment remains based on the learner's demonstrated understanding.

ComponentPurposeWeight
Short exercisesCheck understanding of the principal concepts40%
Applied investigationUse the course framework on a new problem or dataset30%
Final assessmentIntegrated reasoning across the course30%

A certificate of completion is issued only when the required assessments have been completed at the stated standard. Participation alone does not constitute completion.

Faculty

Gordon AI Tutor

AI course tutor created by professors at Gordon School of Business at Swiss Institute of Artificial Intelligence (SIAI)

Gordon AI Tutor is designed to support structured explanation, guided questioning and practice across Gordon courses. The tutor follows course materials and assessment logic developed by faculty and is intended to supplement, not replace, academic judgment.

Materials and technical requirements

Learning environment

Learners need a current web browser and access to the Gordon learning platform. Where a course uses code, spreadsheets, datasets or external readings, the relevant requirements are identified inside the unit.

Course materials

Required readings, datasets and practice materials are identified within each unit. Public courses are designed so that required core materials can be accessed without a separate tuition charge.

Continue to the course

Enter the learning platform to access the lectures, readings, exercises and assessments for this course.