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 by | Gordon Institute Open School |
| Academic lead | Gordon AI Tutor |
| Level | Foundation–Intermediate |
| Format | Online · Self-paced |
| Expected study | 10–14 hours |
| Language | English |
| Prerequisites | No formal prerequisites |
| Assessment | Exercises and final assessment |
| Recognition | Certificate of completion |
| Last reviewed | September 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.
| Unit | Subject | Principal questions |
|---|---|---|
| 1 | Question | What exactly should the article or report explain? |
| 2 | Evidence plan | Which sources and analyses are required before drafting? |
| 3 | Argument structure | How should claims be ordered so that each step follows from the previous one? |
| 4 | Charts and tables | When does a visual add evidence rather than decoration? |
| 5 | Drafting | How should facts, inference and uncertainty be distinguished in prose? |
| 6 | Revision | How 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.
| Component | Purpose | Weight |
|---|---|---|
| Short exercises | Check understanding of the principal concepts | 40% |
| Applied investigation | Use the course framework on a new problem or dataset | 30% |
| Final assessment | Integrated reasoning across the course | 30% |
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.