Master Computational Design Course For Real-World Application

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Course Overview

Become a Computational Design Specialist and accelerate your career in the AEC industry.

Involving data-driven processes like automation, Computational Design allows architects and engineers to work more efficiently, accurately, and creatively. This 10-months course helps you launch into a successful career as a Computational Design Specialist, no matter how little experience you currently have. Our flexible curriculum features an engaging mix of weekly live sessions, mentor interactions, an elective specialisation, and capstone project.

You will learn alongside a vibrant, international community to become proficient in all essential tools and workflows.

Tailored to fit your busy life, this course lets you learn flexibly. By the end of 10 months, you will have gained a computational design certificate, an impressive portfolio, and access to new job opportunities.

About Computational Design

Who is a Computational Designer?

A computational designer uses data-driven processes like automation, parametric modelling, and generative design to create complex geometric forms and optimise design workflows. While designers traditionally rely on intuition and experience to solve design problems, computational designers can enhance that process by encoding design decisions using a computer language.

Today, computational design finds application far beyond the AEC industry, including product design, gaming experience and Metaverse design, automation and robotics, and automobile design.

Earn 50% more than the industry average

Computational designers enjoy excellent career prospects as well as a competitive advantage in the job market.

Unlock your creativity and improve productivity

Computational processes let you breeze through iterations so you can solve real-world design problems using automation.

Specialisations

A world of opportunities awaits you

Build a specialisation of your choice, unlock new job roles, and join the league of the world’s top 1% architects and engineers.

High Performance Building Analysis

High Performance Building Analysis

In this specialisation, you'll learn to evaluate and optimise the energy efficiency, indoor environmental quality, and other performance characteristics of a building through an integrated design workflow.

Career Levels Unlocked

Career Level

Building Sustainability Consultant

Working closely with architects and engineers to provide sustainable design solutions to optimise the energy performance of a building by analysing its overall performance.

Career Level

Building Performance Analyst

Analysing, evaluating, and optimising the energy performance of buildings by running various simulations to improve the energy efficiency of buildings.

Career Level

Sustainability Analyst

Identifying and analysing the overall energy performance of the building and its lifecycle. Running energy simulations to optimise the design to achieve the sustainable goals.

Computational BIM Workflow

Computational BIM Workflow

This Studio looks into industry-specific knowledge of BIM and computational design technologies and their application through interoperability, data management and automation.

Career Levels Unlocked

Career Level

Computational Design Specialist

Designing innovative designs on a data-driven approach by leveraging new computer software and programming. Achieving efficient design process workflows by automating routine tasks.

Career Level

Design Technology Specialist

Strategic implementation of the cutting-edge tools in architectural technology for the firm. Using technology to assist the design process of architectural and engineering projects.

Career Level

BIM Specialist

Strategizing, developing, and implementing design technology workflows for efficient project delivery. Engaging with teams to develop complex geometry and parametric design models.

How you Learn

Get ahead by doing

1. Learn
- Attend weekly live sessions with expert mentors.
- Reinforce your learnings with assignments and activities.
- Get quick query resolution and personalised feedback.
2. Specialise
- Choose and build on a specialisation of your choice.
- Work on a immersive architecture spine project
- Map your skill development with detailed reports and feedback.
3. Achieve
- Prepare yourself for placements once you graduate.
- Sit for mock interviews and optimise your portfolio and LinkedIn.
- Connect with our network of hiring partners for job opportunities.

1. Learn
- Revise Content
- Revise Content
- Revise Content
- Attend weekly live sessions with expert mentors.
- Reinforce your learnings with assignments and activities.
- Get quick query resolution and personalised feedback.
2. Specialise
- Revise Content
- Revise Content
- Revise Content
- Choose and build on a specialisation of your choice.
- Work on a immersive architecture spine project
- Map your skill development with detailed reports and feedback.
3. Achieve
- Revise Content
- Revise Content
- Revise Content
- Prepare yourself for placements once you graduate.
- Sit for mock interviews and optimise your portfolio and LinkedIn.
- Connect with our network of hiring partners for job opportunities.

Curriculum

A learning journey that unlocks advanced career roles for you.

00.
Onboarding to the Novatr platform
- 0.5 Week
- 0 Activities
WEEK 00-01

Onboarding to Novatr platform

Before the course kicks off, get acquainted with the platform, your course mentors and peers. Learn all about how your learning journey will unfold over the next couple of months.
01
Computational Design Thinking
- 0.5 Week
- 0 Activities
WEEK 01-02

Computational Design Thinking

Understand the computational and algorithmic approaches to design in general and in the fields of architecture, and industrial design through an engaging lecture series.
02.
Basic Modelling in Rhino 3D
- 2 Week
- 4 Activities
WEEK 02-03

Basic Modelling in Rhino 3D

Learn the basics of organic and fluidic modelling in Rhino. Get acquainted with the interface, geometry types, quick modelling tips, essential commands, visualisations and more.
03.
Introduction to Grasshopper
- 5 Week
- 8 Activities
WEEK 04-08

Introduction to Grasshopper

Learn the fundamentals of visual programming and dive head first into your first Grasshopper definition.
04.
Data Structures
- 3 Week
- 4 Activities
WEEK 09-11

Data Structures

Learn to work with complex data structures, including advanced operations and modification operators.
05.
Parametric Forms
- 3 Week
- 4 Activities
WEEK 12-14

Parametric Forms

Hone your visual programming skills by recreating famous parametric pavilions in great detail using grasshopper. Learn to use grasshopper for documenting projects and generating fabrication geometries.
06.
Rhino for Professional Practice
- 2 Week
- 3 Activities
WEEK 15-16

Rhino for Professional Practice

Get acquainted with advanced architectural modelling in Rhino including essential tips for accurate modelling, layering conventions, model management, visualisation and professional processes.
07.
Facade Design & Geometry Rationalisation
- 2 Week
- 4 Activities
WEEK 17-18

Facade Design & Geometry Rationalisation

Learn to panelise building facades, second skin and rationalise facade geometries.
08.
Generative Design - Optioneering
- 3 Week
- 4 Activities
WEEK 15-16

Generative Design Optimisation

Learn the generative approach to design exploration and goal-oriented optimisation using Evolutionary Solver.
09.
Automated Design Systems
- 3 Week
- 4 Activities
WEEK 22-23

Automated Design Systems

Create design systems to automate optioneering workflow based on defined algorithm logic. This is helpful in conducting early design stage feasibility studies critical for determining projects economical and spatial viability.
10.
Introduction to GH Python
- 2 Week
- 4 Activities
WEEK 24-25

Introduction to GhPython

Learn concept and parametric modelling approach for Stadium Design.
11.
Pick your specialisation
- 1 Week
- 0 Activities
Introduction to Studio Specialisation

WEEK 26

This session will give you a brief introduction to both specialisations. This will allow you to make an informed decision about choosing your specialisation based on your interests and aptitude.

WEEK 27-40

High Performance Building Analysis

This studio looks into the study of solar, thermal, wind and luminous behaviour of built environments through an integrated design workflow that allows for real-time performance analysis.
WEEK 27-40

Computational BIM Workflow

This studio looks into industry-specific knowledge of BIM and computational design technologies and their application through interoperability, data management and automation.

Revit Fundamentals - Geometry + Data

Programmable BIM Objects

Rhino.Inside - Interoperability

Speckle - Data Integration

Dynamo - Visual Scripting in BIM

Revit API - PyRevit
12-16A
High Performance Building Analysis
- 14 Week
- 24 Activities
Week 27-28

M12A. Climate & Comfort Principles

• Understanding climatic zone and Reading Standard Weather Data
• Basics of Thermal Comfort
• Universal Thermal Climate Index
• Psychometric Charts and Adaptive Comfort
• Predictive Mean Vote
• Predicted Percentage of Dissatisfied

Week 29-30

M13A. Solar Studies and Simulations

• Sunpath model
• Radiation analysis (solar photovoltaic potential)
• Solar hour analysis (outdoor design)
• Shading design and optimization

Week 31-33

M14A. Daylighting Studies and Simulations

• Industry Standards around daylighting
• Daylight Simulations
• Daylight factor
• Useful daylight illuminance
• Daylight autonomy
• Daylight glare probability

Week 34-37

M15A. Building Energy Modelling

• Science behind thermal gains
• Building material properties
• Importance of Space Definition and User Profile
• Building Energy Simulation and Comparative Analysis

Week 38-40

M16A. Lifecycle Carbon Analysis and Net Zero Assessment

• Building Embodied Carbon
• Carbon Life Cycle Assessment
• Project Net Zero Assessment
12-17B
Computational BIM Workflow
- 14 Week
- 24 Activities
Week 27-28

M12B. Revit Fundamentals - Geometry + Data

• Understanding fundamental concepts of Revit elements
• Revit heirarchy – category, type, instance
• Revit elements as geometry and data
• Revit families
• Adaptive components and families
• Parameters – Project, Shared, Type and Instance

Week 29-31

M13B. Programmable BIM Objects

• Understanding which Revit elements can be programmed
• Revit Floors, Walls, Roofs, Curtain Walls, Curtain Systems (BIM objects)
• Understanding Base Geometry Requirements of BIM objects
• Revit Heirarchy - category, Type, Instance
• Creating sophisticated Revit families (adaptive and system)

Week 32-34

M14B. Rhino.Inside - Interoperability

• Linking design (Rhino + Grasshopper) and delivery (Revit + Dynamo) software
• Rhino.Inside.Revit (Grasshopper) - UI, components, workflows
• Driving sophisticated Revit geometry or families from simplified Rhino geometry
• Converting Rhino geometry to Revit geometry through Grasshopper
• Querying Revit elements and data through Grasshopper

Week 35-36

M15B. Speckle - Data Integration

• Integrating data between many platforms and viewing it on the web
• Simplified efficient interoperability without Grasshopper
• Speckle theory - Commits, Branches, Streams and Versioning
• Speckle web viewer
• Speckle connectors - Rhino, Revit, Dynamo, Grasshopper, Excel, PowerBI

Week 37-38

M16B. Dynamo - Visual Scripting in BIM

• Introduction to Dynamo
• Visual scripting in Dynamo
• Automating project tasks using Dynamo
• Information management using Dynamo

Week 39-40

M17B. Revit API - PyRevit

• Extending Revit Functionality for a firm with Custom Tools
• Tools to impact and aid multiple teams in a firm

For the full course structure and learning outcomes, download the syllabus.

Download Syllabus

Expert Mentors

Learn from experts who designed large-scale projects across the world using the Computational Design process.

Sahej Bhatia

Sahej Bhatia

Associate | Co-Founder
Studio Wood

Handel Architects

Co-founded Studio wood an award wining boutique Space and furniture design studio in New Delhi.
Giuseppe Dotto

Giuseppe Dotto

BIM Coordinator

UNStudio, Amsterdam, NL

Specialized in digital design technology - computational design, programming language and software development.
Rahul Grover

Rahul Grover

Senior Building Physics and Sustainability Engineer

Buro Happold, London, UK

Experienced in high performance building design and architecture, aiming to bridge the gap between two disciplines WITH an integrated approach towards built environment.
Brice Pannetier

Brice Pannetier

Founder at Atelier Designa

Atelier Designa

Founded Atelier Designa with an intend to assist Architects and Builders with Computational design and BIM.

Career Services

Unlock Your Full Potential with Our Comprehensive Career Support

From scouting for jobs to nailing your interviews, you’ll have our support every step of the way so that you’re set up for success.

01.

Network with hiring partners

Network with hiring partners via a dedicated placements team.

02.

Choose your career counsellor

Choose your career counsellor to get personalised career guidance.

03.

Sit for 1:1 mock interviews

Sit for 1:1 mock interviews and application guidance sessions.

04.

Get structured feedback

Get structured feedback on your resume and portfolio.

01.

Network with hiring partners

Network with hiring partners via a dedicated placements team.
02.

Choose your career counsellor

Choose your career counsellor to get personalised career guidance.
03.

Sit for 1:1 mock interviews

Sit for 1:1 mock interviews and application guidance sessions.
04.

Get structured feedback

Get structured feedback on your resume and portfolio.

Tenure (Monthly)	EMI
3	Rs. 53,333
6	Rs. 26,667
9	Rs. 17,778
12	Rs. 13,333

Institution	Industry Relevant Curriculum	Practising Professional Mentors
Master Computational Design Course	INR 3,45,000	8 months
CMU School of Architecture, USA	18X More	24 months
Columbia University, USA	21X More	18 months
Architectural Association, UK	10X More	16 months

FAQ

Have any questions?

Why is the course 8 months long?

The course is designed to help you transition from basic 3D CAD modelling to parametric modelling and advanced computational workflows. In 8 months, we ensure a comprehensive understanding of Rhino, parametric modelling through Grasshopper, topic specialisation based on your field, and a collaborative capstone project.
How much time should I dedicate in a week?

Every week, you will have two live classes. In addition, you will have recorded lessons throughout the week with small activities. We expect you to put in a minimum of 8–10 hours of effort (depending on your speed) in a week to fully grasp and apply the concepts of computational design.
Is the course content recorded or live?

The course offers an engaging mix of both. Throughout the week, recorded content and practice files will be available to you for learning at your own pace and schedule. Live sessions will be conducted on Wednesdays and Saturdays for mentor interaction, query resolution, guest lectures and hands-on activities.
In which language is the course delivered?

The course content will be delivered in English.
How do I get my queries resolved during the course?

We have a 24x7 query resolution service. You will be assigned a learning coordinator whom you can contact for any query during the course.
Do I get assistance once the course is completed?

On joining a Novatr course you get lifetime access to a closed messaging group that includes your batchmates and learning coordinators. This means you always have a group of people with whom you can discuss ideas and troubleshoot problems.
Does the program guarantee a job?

The course provides you with practical experience on a live project that significantly enhances your job prospects. Our team also provides guidance on building your resume and portfolio for a successful BIM career. In addition, Novatr's hiring partners recruit graduates directly to their companies. Successful completion of the course therefore equips you for growth in the BIM field.
Is the certificate accepted by AEC firms?

Yes, this certificate stands as proof of your skills in industry-relevant computational tools and workflows. Coupled with the new additions to your portfolio made during the course, it will suffice for jobs in AEC firms.
Does the course cover artificial intelligence and machine learning in architecture?

This course does not explore data-intensive concepts like artificial intelligence (AI) and machine learning (ML). However, the skills acquired in this course will build a strong foundation for learners to explore these concepts within the AEC context.
I am interested in both specialised elective studios. Can I pursue both?

Learners may opt to attend only one Specialised Elective Studio as part of their curriculum.
Who can attend this course?

This course is designed for both professionals and students of architecture and engineering.
Do I need to have any pre-requisite knowledge to attend the course?

Prior knowledge of computational tools and workflows is not required as the course is structured in a beginner-friendly way. However, it is expected that you would have a basic understanding of architectural/engineering principles, 3D modelling, and Revit (only for Computational BIM specialisation).
I don't have software installed on my laptop. Can I still attend the course?

We understand that some of you might be new to the software. Our support team will be available to guide you throughout. Before the course commences, we make sure to help you install the relevant softwares and plugins and also get acquainted with them so that you're well-prepared.
What hardware do I need to attend this course?

The required hardware specifications are as followsWindows System64-bit Intel or AMD processor (Not ARM)8 GB memory (RAM) minimum; 16 GB memory (RAM) recommended40 GB disk spaceOpenGL 4.1 capable video card is recommended4 GB Video RAM or more recommendedA multiple-button mouse with a scroll wheel is recommendedApple Intel hardware with Boot Camp optional (Boot Camp is not supported on Apple Silicon M1 Macs)Operating System: Windows 10 or higher
What is the refund policy for this course?

For information on refund and cancellations, please refer to this document
How do I pay for the course?

Indian nationals can pay the full amount via online banking, debit/credit cards, UPI or opt for EMI. Foreign nationals can pay the full amount via debit/credit cards or PayPal, or in instalments via credit card. For any payment-related queries, please contact our team at +91-9315788823 or write to support@novatr.com
Can I pay the course fee in instalments?

Yes. Indian nationals can opt for either a 6-month EMI (₹21,000 per month) or a 12-month EMI (₹10,500 per month) after a down payment of ₹19,000. Foreign nationals can opt for a 6-month instalment plan (USD 250 per month) after a down payment of $500.
How does fee payment in instalments work?

To understand the instalment options available, please refer to the fee structure section of this page. Candidates must complete the loan/instalment approval process within 7 days of making the down payment and pay the first instalment 15 days before the course-commencement. Failure to do so will result in the enrolment being rescinded.
Will I have to pay any extra amount if I opt for EMI?

Note that candidates who make the full payment in advance are able to avail a fee waiver. However, if you prefer EMI, you can find the details on the fee structure section of this page.
What is the refund policy for this course?

As stated in our Terms and Conditions, any down payment made is not refundable. However, if you have made a partial or full payment and would like a refund, please send an email to support@novatr.com with the subject line 'Refund'. Please note that this should be done at least 25 days before the course commencement date. We will initiate the refund within 30 working days of accepting the refund request. Also, please be informed that a refund will not be possible once the EMI loan has been processed. You will be liable to complete the loan process even if you discontinue the course. Failure to pay back the loan will affect the participants' CIBIL score.
What is the refund policy on the EMI scheme?

A refund will not be possible once the EMI loan has been processed. You will be liable to complete the loan process even if you discontinue the course. Failure to pay back the loan will affect the participants' CIBIL score.

Can’t find an answer to your question?

We’re always happy to answer any queries. Write to us at contact@novatr.com

Request a callback

Master Computational Design Coursefor Real-World Application

Registrations Closing Soon

Download Course Syllabus

Build a Core Specialisation Unlock New Design Careers

Build a Core Specialisation Unlock New Design Careers

Master 6+ software and 15+ plugins used in the industry in just 10 months.

Learn from the best

Learn from the best

Tech-focussed education

Tech-focussed education

Build a specialisation

Build a specialisation

Guaranteed career guidance

Guaranteed career guidance

Learn from the best

Tech-focussed education

Build a specialisation

Guaranteed career guidance

Download Syllabus

Become a Computational Design Specialist and accelerate your career in the AEC industry.

You will learn alongside a vibrant, international community to become proficient in all essential tools and workflows.

Who is a Computational Designer?

Why learn Computational Design?

Earn 50% more than the industry average

Unlock your creativity and improve productivity

Specialisations

A world of opportunities awaits you

High Performance Building Analysis

Career Levels Unlocked

Building Sustainability Consultant

Building Performance Analyst

Sustainability Analyst

Computational BIM Workflow

Career Levels Unlocked

Computational Design Specialist

Design Technology Specialist

BIM Specialist

Get ahead by doing

1. Learn

2. Specialise

3. Achieve

1. Learn

2. Specialise

3. Achieve

A learning journey that unlocks advanced career roles for you.

00. Onboarding to the Novatr platform 0.5 Week 0 Activities

Onboarding to Novatr platform

01 Computational Design Thinking 0.5 Week 0 Activities

Computational Design Thinking

02. Basic Modelling in Rhino 3D 2 Week 4 Activities

Basic Modelling in Rhino 3D

03. Introduction to Grasshopper 5 Week 8 Activities

Introduction to Grasshopper

04. Data Structures 3 Week 4 Activities

Data Structures

05. Parametric Forms 3 Week 4 Activities

Parametric Forms

06. Rhino for Professional Practice 2 Week 3 Activities

Rhino for Professional Practice

07. Facade Design & Geometry Rationalisation 2 Week 4 Activities

Facade Design & Geometry Rationalisation

08. Generative Design - Optioneering 3 Week 4 Activities

Generative Design Optimisation

09. Automated Design Systems 3 Week 4 Activities

Automated Design Systems

10. Introduction to GH Python 2 Week 4 Activities

Introduction to GhPython

11. Pick your specialisation 1 Week 0 Activities

Introduction to Studio Specialisation

High Performance Building Analysis

Computational BIM Workflow

12-16A High Performance Building Analysis 14 Week 24 Activities

M12A. Climate & Comfort Principles

M13A. Solar Studies and Simulations

M14A. Daylighting Studies and Simulations

M15A. Building Energy Modelling

M16A. Lifecycle Carbon Analysis and Net Zero Assessment

12-17B Computational BIM Workflow 14 Week 24 Activities

M12B. Revit Fundamentals - Geometry + Data

Master Computational Design Course
for Real-World Application

00.
Onboarding to the Novatr platform

0.5 Week

0 Activities

01
Computational Design Thinking

0.5 Week

0 Activities

02.
Basic Modelling in Rhino 3D

2 Week

4 Activities

03.
Introduction to Grasshopper

5 Week

8 Activities

04.
Data Structures

3 Week

4 Activities

05.
Parametric Forms

3 Week

4 Activities

06.
Rhino for Professional Practice

2 Week

3 Activities

07.
Facade Design & Geometry Rationalisation

2 Week

4 Activities

08.
Generative Design - Optioneering

3 Week

4 Activities

09.
Automated Design Systems

3 Week

4 Activities

10.
Introduction to GH Python

2 Week

4 Activities

11.
Pick your specialisation

1 Week

0 Activities

12-16A
High Performance Building Analysis

14 Week

24 Activities

12-17B
Computational BIM Workflow

14 Week

24 Activities

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