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Computational Design

Computational Design is an innovative approach that integrates computational tools and algorithms with design processes, enabling designers to explore complex possibilities, optimize solutions, and generate intricate forms. It merges creativity with computation, allowing for data-driven insights and parametric variations, revolutionizing architecture, engineering, and product design.

Why Computational Design?

Increased Sustainability

Ensures eco-friendly design with energy efficiency and sustainability

Unlock your creative potential

Transform impossibilities into achievable designs through AI-powered software innovation.

Fast and Multiple Design Analysis

Software accelerates architects' creative process, optimizing designs for efficiency.

Career opportunities

limitless architectural possibilities and a hike in salary for future success

Before and After Industry Analysis 

Before Computational Design: 70%
reliance on manual processes, 30%
utilization of digital tools.

After Computational Design: 30%
reliance on manual processes, 70%
utilization of digital tools.

Course Highlights

Master Advanced Computational Design in just 6 months.

Technology for Success

Expert-led industry insight and direction, and prepare for success with advanced technology.

Mastering Cutting Edge Designing

Excel in Parametric
Modeling, Generative Design, and Simulation to create efficient solutions.

Unlock Computational Careers

Integrate your career as a Computational Designer, unlocking high paying job roles.

This course covers parametric modeling, generative design, scripting, programming, algorithmic thinking, digital fabrication techniques, etc, for architecture, engineering, and product design.

What Do We Offer?

Industry Relevant Certification

Collaborative Project Experiences

Lifetime Placement Assistance & Career Support

Training by Industry Experts

Are you a budding architect?
Or, have an astounding professional architectural career? Then this course is for you.

Course Curriculum

Module 1:

24 Hours

3D BIM Model Authoring

Exposure to authoring BIM tools where a professional will learn about initial project setup to complete modeling of Architecture.
Module 2:

14 Hours

3D BIM Model Coordination

Exposure to BIM tools where a professional will learn about complete BIM coordination and Cloud collaboration.
Module 3:

30 Hours

Parametric Designing & Modeling using Rhino 3D

In this module, a professional will learn the basics, intermediate, and advanced tools of Rhinoceros software.
Module 4:

15 Hours

Parametric Design Analysis

In this module, a professional will learn the basics, intermediate, and advanced tools of Grasshopper plug-in for Rhinoceros.
Module 5:

06 Hours

Building Performance Analysis

Perform daylight simulation Solar radiation Analyze shading design options to make recommendations to Architects to improve daylight distribution.
Module 6:

24 Hours

Parametric Design Analysis

This module aims to provide hands-on experience in the latest trending BIM technologies.
Module 7:

25 Hours

Advanced Computational Design

1) Introduction to the course (1 hour)

Introduction to generative design and what the students will be learning

2) Professional Visual Scripting (2 hour)

Autograph / Clustering / Naming /Data viewer / Good Practices 

3) Advanced Parametric Data Management 1 (1 hour)

Elefront: blocks, annotations, filters, baking and reading attributes

4) Advanced Parametric Data Management 2 (1 hour)

Elefront: Advanced Data Management. Filter and organise by attributes

5) Python Basics (1 hour)

Introduction to GH Python. Variable types and simple functions (Practical examples)

6) Python - Conditional Statements, Lists, Tuples and sets (1 hour)

Conditional Statements. Loops. Complex functions.(Practical examples)

7) Python: Loops and the Random Module (1 hour)

Random. Seeds. Complex functions. (Practical examples)

8) Python: Rhinoscript Syntax (1 hour)

Rhinoscript Syntax integration and useful functions.(Practical examples)

9) Parametric Model Iteration (2 hour)

TT toolbox (Collibri 2.0) / Python Loops / Automated CSV reading and writing / Sql3 (python)

10) Parametric Model Iteration Masterplanning Scale (3 hour)

Large Area. Quad Meshing. Offsets for Masterplanning Requirements. Complying with typology requirements. Decoding Spaces.

11) Data Visualization  (2 hour)

Parameter Space / Squid / Three.js - Triceratops

12) Environmental Analysis  (1 hour)

Ladybug: lighting and script implementation

13) Algorithm Development 1 (Generative Design) (5 hour)

Elk, Cadmapper, Blosm add on for context importing

14) Optimization (2 hour)

Galapagos - Wallacei: genetic algorithms - Modular System Facade

15) Further study directions (1 hour)

Rhino Inside Revit. Hops. Quick demonstrations.


Course Instructors

The BIM-Ready Architecture Advance course presents four expert course instructors, who guide you through computational design techniques for innovative solutions in architecture and engineering.


Ismael Sanz

Professor at the University of Miami

He is a Spanish architect, who specializes in parametric and generative design. With a career spanning Spain, Mexico, India, China, Hong Kong, and the United States, his innovative approach incorporates computational algorithms to push architectural boundaries.


Alex Christodoulou

PhD Candidate Researcher

With over a decade's experience, he's a Computational Design Engineer with degrees from Patras, TU Delft, and Southampton. Formerly at Arup Amsterdam, now a Freelance Parametric Design Specialist and PhD Candidate at the University of Thessaly.


Debjit Kundu

M.Arch in Business Science, University of Southern California

Green Building analyst skilled in BIM & business development. Applies interdisciplinary expertise to streamline preconstruction processes and coordinate stakeholders.


Parth Makwana

Masters in Science (MS),Civil Engineering from Purdue University

Began as Field Engineer, now Technical BIM Head at TechnoStruct LLC. Expert in BIM/VDC services, US codes, and project management. Diligent, goal-oriented professional. TechnoStruct excels in prestigious Northern California projects like Google Bayview, Apple HQ, SFO Airport, and more.

As course instructors for the BIM-Ready Architecture Advance course, they bring a wealth of knowledge and practical experience to guide students in mastering the fundamentals of Building Information Modeling (BIM) and exploring the intersection of technology and design.

Career Prospects

Computational Design encompasses various career paths, offering architects and engineers numerous opportunities to specialize and excel in their preferred areas of expertise. Some of the career roles
are listed below-

Computational Design Specialist

Utilizes advanced algorithms, and collaborates effectively.



Creates, and maintains digital building models.



 Utilizes Grasshopper, and Rhino for adaptable designs, stakeholder collaboration, and performance analysis.


Immersive 3D

Designs immersive AR/VR experiences collaboratively

Listen to what our Alumni have to say

Fees & Registration

Course Fee

INR 2,00,000

Register Here

(Follow an easy-to-navigate enrollment process using the provided Enrollment Form)

Accepted Payment Methods

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