Business & Product · Advanced Career Track
Business Analysis (Advanced)
Frame ambiguous business problems, model processes and data, define testable requirements, and lead an end-to-end analysis case from discovery through UAT and change readiness.
Discover the real problem. Align stakeholders. Turn evidence into requirements teams can deliver.
Advanced layer includedIndustry Edge tools and scenario-based labs beyond the recognized core. Curriculum v1.1 • Updated Aug 2026
Recognized curriculum, prerequisites, assessments, and public fees disclosed before counselling.
Industry Edge Lab includedAdvanced tools, emerging patterns, and scenario-based labs beyond the recognized core.Registration and admissions follow-up continue securely in BharatCampus ONE.
Included beyond the published curriculum
The recognized core is your foundation—not the finish line.
Every Business Analysis (Advanced) cohort also enters the CohortAI Industry Edge Lab: an evolving layer of advanced tool categories, emerging architecture and production patterns, and scenario-based labs. A guided counselling preview connects the most relevant capabilities to your target role, followed by a release-governed lab sequence after enrollment.
Release-governed advanced tools Emerging architecture patterns Scenario-based labs
Fit before enrollment
Who should join
Graduates and working professionals with exposure to business operations or software delivery who want to lead discovery, requirements, process, data, product, and change conversations with defensible evidence.
Role pathways
Your starting point
Comfort with spreadsheets, business communication, and structured problem solving is expected. Prior exposure to a business process or software project is recommended; SQL and delivery foundations are bridged.
This is not an exclusion filter. It helps us confirm whether you can start directly or would benefit from a short bridge before the cohort.Recognized core
Skills and technology stack
These employability foundations are part of the public learning promise and remain visible before registration.
IIBA-aligned business analysis Requirements engineering Stakeholder analysis BPMN 2.0 UML Agile and Scrum Jira Confluence Excel SQL Power BI Wireframing API and data mapping UAT
Build-first curriculum journey
8 missions. One defensible portfolio.
Mentor-led hybrid learning with stakeholder simulations, process and data labs, requirements reviews, delivery ceremonies, and a version-controlled capstone.
M012 weeks · 15 live hours
Business problem framing and analysis practice
Ambiguity to Alignment: separate symptoms from the business need before anyone commits to a solution.
- Business analysis purpose, value and professional mindset
- Change, need, solution, value, stakeholder and context
- Problem statements, outcomes and measurable value
- Strategy context, capability analysis and root causes
Guided labTurn an ambiguous operational complaint into a governed analysis charter with a value hypothesis, scope, measures, risks and decision rights.
Portfolio evidenceBusiness analysis charter, problem frame, value tree and governance plan.
AssessmentProblem-framing review and evidence-based scope defence.
M022 weeks · 15 live hours
Stakeholder research and requirements elicitation
Conflicting Voices Workshop: surface the needs behind positions and earn agreement on what must be learned next.
- Stakeholder identification, influence and engagement
- Interviews, observation, workshops and surveys
- Question design, facilitation and active listening
- Elicitation planning, preparation and confirmation
Guided labPlan and facilitate a simulated discovery workshop with conflicting stakeholder goals, then confirm findings and unresolved questions.
Portfolio evidenceStakeholder map, elicitation plan, workshop pack, findings log and confirmation record.
AssessmentFacilitated stakeholder interview and synthesis review.
M032 weeks · 15 live hours
Process modelling and improvement
Follow the Work: reveal where value waits, loops, fails or becomes invisible across teams.
- SIPOC, value streams and process discovery
- BPMN 2.0 events, activities, gateways and lanes
- As-is and to-be process models
- Cycle time, handoffs, queues and failure demand
Guided labModel an admissions-to-enrolment process in BPMN, quantify its delays and failure points, and design a controlled future-state workflow.
Portfolio evidenceValidated as-is and to-be BPMN models, issue register, measures and improvement rationale.
AssessmentProcess-model correctness and improvement-options review.
M042 weeks · 15 live hours
Data analysis and decision support
Metric Courtroom: defend what each number means, where it came from and what it cannot prove.
- Decision questions, metrics and analytical framing
- Excel data quality, lookup, pivot and scenario analysis
- SQL querying, joins, aggregation and validation
- Data models, definitions and lineage
Guided labInvestigate a conversion and retention dataset, reconcile metric definitions, test hypotheses in SQL, and present a decision-ready Power BI narrative.
Portfolio evidenceData dictionary, validated queries, decision dashboard, insight memo and limitations log.
AssessmentData-reconciliation practical and executive insight briefing.
M052 weeks · 15 live hours
Requirements, user stories and acceptance criteria
No Vague Requirements: make every need understandable, feasible, valuable and testable before delivery begins.
- Business, stakeholder, solution and transition requirements
- Functional and non-functional requirements
- Use cases, user stories and job stories
- Acceptance criteria, examples and business rules
Guided labTransform discovery evidence into a prioritised, testable requirements pack with models, business rules, acceptance examples and bidirectional traceability.
Portfolio evidenceVision and scope, requirements catalogue, story map, acceptance criteria and traceability matrix.
AssessmentRequirements Quality Gate with ambiguity, conflict and change scenarios.
M062 weeks · 15 live hours
Product, UX, APIs and systems analysis
Translate Across Teams: preserve business intent as it moves from user need to interaction, contract, data and control.
- Product outcomes, personas and journey maps
- Prototypes, wireframes and usability evidence
- UML context, activity, sequence and state models
- API contracts, payloads, errors and integrations
Guided labSpecify an API-enabled workflow using a journey, wireframe, system context, sequence model, data mapping and non-functional requirements.
Portfolio evidenceProduct discovery pack, wireframes, system models, API mapping and quality-attribute checklist.
AssessmentCross-functional design review with UX, engineering, security and operations challenges.
M072 weeks · 15 live hours
Agile delivery, UAT and change readiness
Value Through Change: keep the outcome traceable when time, evidence and stakeholder expectations shift.
- Agile analysis, refinement and delivery collaboration
- Backlog prioritisation, slicing and dependency management
- Definition of ready, done and evidence
- UAT strategy, scenarios, test data and defect triage
Guided labRun refinement and UAT for a changing feature, triage defects and scope decisions, and prepare a measurable adoption and change-readiness plan.
Portfolio evidencePrioritised backlog, refinement evidence, UAT pack, defect decisions and change-readiness scorecard.
AssessmentDelivery simulation covering scope change, failed acceptance and stakeholder readiness.
M082 weeks · 15 live hours
End-to-end business analysis capstone
From Need to Measurable Value: defend not only what should change, but why this option, for whom, with what evidence and how success will be measured.
- Discovery planning and stakeholder alignment
- Strategy, process and data evidence
- Requirements and design architecture
- Option assessment and recommendation
Guided labLead a simulated initiative from an ambiguous business need through discovery, modelling, recommendation, delivery-ready requirements, UAT and value-evaluation planning.
Portfolio evidenceVersion-controlled capstone evidence pack, decision log, executive recommendation and stakeholder presentation.
AssessmentBusiness Analysis Review Board, artifact audit and role-based interview simulation.
The week feels different here
A repeatable rhythm from concept to evidence
Weekly rhythm
- 1Concept sprint and business-context briefing
- 2Stakeholder, process or data discovery lab
- 3Independent analysis artifact challenge
- 4Requirements review and delivery clinic
- 5Evidence demo, skill check and reflection
Learner experience
CohortAI Skill Passport with milestone badges
Role-played stakeholder interviews, workshops and negotiation scenarios
Weekly peer review of process, requirements and decision evidence
Mentor office hours and all-day supervised practice-lab access
Capstone Review Board with an executive narrative, artifact walkthrough and interview-style defence
Responsible AI-assisted learning policy: validate sources, disclose assistance and own every recommendation
Interview-ready proof
What you will be able to show—not merely claim
These are tangible outputs you can demonstrate, explain, and defend through a technical walkthrough, business narrative, or interview conversation.
Stakeholder discovery and analysis dossier
BPMN process-improvement case
Requirements, user-story and acceptance-criteria pack
SQL and Power BI decision-analysis case
API mapping and UAT specification
End-to-end business-analysis capstone
Transparent evaluation
How your progress is assessed
Completion standard
Minimum 70% overall, mandatory capstone pass, at least 80% evidence-pack submissions, and a stakeholder-facing solution defence.
CohortAI Industry Edge Lab
Your published curriculum is the foundation. The Industry Edge is what keeps it moving forward.
The Business Analysis Edge Lab adds responsible AI-assisted discovery, requirements-quality checks, process intelligence, analytics narratives, and traceability workflows while preserving human validation and stakeholder accountability.
Your counselling preview connects relevant capability categories to your target role. The complete release-governed lab sequence becomes part of the enrolled learning plan.Version-controlled learning promise
BUSINESS-ANALYSIS@1.1.0
Released 14 August 2026 under catalog CAT-2026.09.1. This page presents the approved curriculum, learner outcomes, duration, and public fee for informed comparison.
Straight answers
Frequently asked questions
Who is the Business Analysis (Advanced) program designed for?
Graduates and working professionals with exposure to business operations or software delivery who want to lead discovery, requirements, process, data, product, and change conversations with defensible evidence.
What prerequisites do I need?
Comfort with spreadsheets, business communication, and structured problem solving is expected. Prior exposure to a business process or software project is recommended; SQL and delivery foundations are bridged.
What is included in the public curriculum?
The public curriculum includes the recognized stack, all 8 module themes, guided labs, portfolio artifacts, assessment model, duration, and public fees. The Industry Edge Preview explains how advanced capability categories extend this foundation for your target role.
Where do counselling and enrollment happen?
CohortAI supports public discovery and program comparison. Registration, consent, counselling follow-up, application updates, and enrollment are managed securely in BharatCampus ONE.