PROGRAMMES / SCHOOL

Learn across disciplines. Build capability.

TUTOR School Programmes organise school learning into a coherent progression: durable subject knowledge, stronger reasoning, computing and intelligent systems, practical work, projects and increasingly independent creation — with curriculum mapping available across national, CISCE, Cambridge, IB and AP-aligned pathways.

Students working together in a computer laboratory

01 / CURRICULUM COMPATIBILITY

Choose the curriculum context first.

Begin with the curriculum context the learner follows. TUTOR then maps the relevant subjects, levels and learning outcomes into its own learning architecture while preserving the TUTOR-native layers for interdisciplinary learning, computing, AI and Frontier exploration. A mapping identifies the source curriculum, subject, level, learning outcome, corresponding TUTOR learning object and coverage status.

CBSE

Board-mapped school learning across languages, humanities, mathematics, sciences, skill subjects, general studies and health / physical education.

WBBSE / WBCHSE

Curriculum mapping for relevant school pathways, including science, commerce and humanities subjects and associated specialisations.

ICSE / ISC

Compatibility for broad school science, commerce, humanities and language coverage while keeping TUTOR's own progression architecture.

Cambridge

Cambridge IGCSE and related school pathways can be represented as curriculum mappings, retaining their subject structure and cross-curricular perspective.

IB

IB MYP and IB DP can be mapped into TUTOR while preserving programme-specific structures such as interdisciplinary work, Theory of Knowledge, Extended Essay and CAS where relevant.

AP · Advanced Placement

TUTOR can provide AP-aligned study and preparation across selected AP subjects. Official AP course designation and AP provider authorization remain with the authorised school or provider.

  • Select the curriculum context, stage, class and discipline. TUTOR then shows the appropriate learning context before sending the learner into a published course or programme.
  • Selected: CBSE · Middle school · Class 6 · Science & Scientific Thinking · Batch · Monthly
  • The fee is calculated automatically from the learning format and payment cycle you select above. Curriculum and class selections are carried into the checkout summary.

02 / PROGRAMME ARCHITECTURE

Subject → Thinking → Creating.

The school layer is not a loose collection of lessons. It gives learners a common academic structure, then lets each subject or pathway become more specialised as capability grows. Advanced exploration is connected to foundational learning instead of being treated as a separate world.

01 / SUBJECT

Core Knowledge

Build durable understanding through concepts, examples, practice and structured assessment.

02 / THINKING

Reasoning

Strengthen mathematical, scientific, linguistic, computational and critical reasoning.

03 / COMPUTING

Digital Capability

Use programming, data, software and digital tools as instruments for learning and creation.

04 / INTELLIGENCE

Intelligent Systems

Introduce AI and intelligent systems through problem formulation, use, evaluation and responsible practice.

05 / PROJECT

Creation

Turn learning into artefacts: experiments, models, code, analyses, presentations and prototypes.

06 / FRONTIER

Advanced Inquiry

For learners ready to go deeper: research-style work, interdisciplinary challenges and emerging fields.

03 / PROGRAMME TRACKS

Choose a pathway. Keep the ecosystem connected.

Each track is a structured programme family. Selecting one does not isolate the learner: the TUTOR model makes connections to other disciplines explicit.

Students in a science laboratory

Science & Scientific Thinking

Physics, chemistry, biology and scientific reasoning through concepts, experimentation, modelling, measurement and evidence.

ExperimentsModellingEvidence
Computer laboratory for student learning

Computer Science & Computing

Programming, algorithms, data, software systems and computing practice with progression toward more advanced systems work.

ProgrammingAlgorithmsSystems
Artificial intelligence and generative systems work on a computer

AI & Intelligent Systems

Foundational AI concepts, data, models, generative systems, intelligent applications, evaluation and applied project work.

AIModelsGenerative systems
Student studying in a classroom

Knowledge Systems

Language, textual study, structured knowledge, interpretation and interdisciplinary inquiry through a distinct knowledge architecture.

LanguageTextsInterpretation
Students in a business school classroom

Business & Commerce

Accounting, business studies, financial reasoning and enterprise, connected to data, computing and organisational practice.

AccountingEnterpriseFinance
Athlete training on a running track

Physical & Health Education

Movement, fitness, sport performance, health knowledge, discipline and structured physical practice across school stages.

MovementFitnessSport

04 / CAPABILITY PROGRESSION

Depth grows with what the learner can do.

TUTOR uses a six-level capability architecture. School learners may progress through it at different rates; the level describes capability, not simply age or grade.

Foundations

Core concepts, vocabulary, basic methods and disciplined study.

Practice

Structured exercises, experiments, problem solving and guided application.

Build

Projects, models, software, analyses and other learner-created artefacts.

Professional

Complex tasks, clearer judgement, communication and disciplined workflows.

Architect

Design interconnected systems, methods or projects with greater independence.

Frontier

Research-style questions, emerging tools and advanced interdisciplinary work.

04 / EVIDENCE & PRACTICE

School learning should leave evidence.

Progress is made visible through work. The exact evidence depends on the programme family, but the learner should gradually accumulate artefacts that demonstrate understanding and capability.

Students conducting a laboratory experiment

PRACTICE / PROJECT / PORTFOLIO

Examples of evidence

  1. 01Concept notes, worked problems and reflective explanations
  2. 02Experiments, measurements, observations and laboratory records
  3. 03Programming and computational artefacts
  4. 04Business cases, data analyses and structured reports
  5. 05Presentations, demonstrations and oral explanations
  6. 06Interdisciplinary projects and prototypes
  7. 07Portfolio-ready evidence of progression

06 / DELIVERY FORMATS

One academic structure. Different learning formats.

Delivery is layered inside each format. Online, hybrid, laboratory-supported or other practical delivery can be used according to the programme and learner's needs.

BATCH

Structured Batch

From ₹999/month

Cohort teaching, scheduled sessions, shared practice and structured progression.

ONE-TO-ONE

Individual

From ₹7,000/month

Personalised pacing, targeted instruction and closer project or progression support.

SELF-DIRECTED

Independent Study

Fee by pathway

Structured resources, project briefs and progression pathways for independent learners.

Programme fees depend on the pathway and its practical requirements. Admissions confirm the exact fee for your pathway and format before you pay.

07 / SCHOOL LIBRARY

Resources organised by purpose.

The library supports teaching rather than replacing it: core references, practice material, tools, project resources and advanced reading are organised around learner purpose.

CORE

Texts & Notes

Structured explanations, reference material, subject notes and recommended readings.

PRACTICE

Problems & Exercises

Question sets, worked examples, tutorials and progressive challenge.

LAB

Experiments

Science and technical practical activities with evidence capture and review.

TOOLS

Digital Resources

Programming environments, simulations, datasets and digital systems.

PROJECTS

Project Studio

Briefs, milestones, rubrics, examples and portfolio guidance.

FRONTIER

Advanced Reading

Research-style material and specialist resources for learners ready to go deeper.

08 / ECOSYSTEM CONNECTIONS

School is the entry layer — not the boundary.

A learner can begin with a school pathway and later move into deeper discipline or programme environments. The connections remain explicit throughout the ecosystem.

01

Business & Commerce

Accounting, enterprise, financial reasoning and organisations.

02

Physical & Health

Movement, fitness, sport, health knowledge and practice.

03

Computer Science

Programming, algorithms, software, data and computing systems.

04

Knowledge Systems

Language, textual study, interpretation and structured knowledge.

05

AI & Intelligent Systems

AI foundations, generative systems and intelligent applications.

Start with the learner. Then choose the depth.

Use a school programme as the structured entry point, then extend into a discipline, project or advanced capability pathway as the learner progresses.