
Who should enroll in BA (Hons.) Culinary Arts, GD Goenka University, Gurugram?
Educational Qualification: 10+2 from a recognized board (any stream).
Minimum Marks: Typically 50%-60% aggregate in 12th grade (varies by institution).
Why Should You Learn This course?
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Future relevance
Abundant career opportunities -
Societal impact
Automation and efficiency -
Innovation and problem-solving
Personal and professional growth
Hiring Company






What you will learn
Fundamentals of Culinary Arts
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Basics of cooking techniques, knife skills, and kitchen management.
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Food Science & Nutrition
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Understanding the chemistry of food and creating healthy recipes.
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International Cuisines & Gastronomy
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Cooking styles and dishes from French, Italian, Chinese, Indian, and Mediterranean cuisines.
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Baking & Patisserie Arts
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Bread making, cake decoration, pastry techniques, and dessert preparation.
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Menu Planning & Food Costing
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Designing menus with cost-effective strategies and balancing flavors.
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Food Safety & Sanitation
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HACCP guidelines, kitchen hygiene, and food handling standards.
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Restaurant & Kitchen Operations Management
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Managing staff, supply chains, and kitchen efficiency in restaurants.
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Food Presentation & Plating Techniques
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Enhancing dish aesthetics with modern plating trends and styling.
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Molecular Gastronomy & Food Innovation
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Experimenting with new-age cooking techniques like sous vide, spherification, and foaming.
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Entrepreneurship & Business Development in Culinary Arts
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Starting a food business, catering service, or cloud kitchen.
Technologies you'll Master







Project

This project takes parameters such as temperature, humidity and wind to forecast weather.

This project use a set of different strategies and algorithms to help users find the most relevant films.

In this project we will use tensor flow frame work created by Google for creating Deep learning models.

This project will apply Machine learning algorithm and Linear Regression to predict Healthcare insurance costs.

This project refers to detect whether a person is wearing a mask or not.

In this project we build our own plagiarism checker to search vast database for stolen content.

This project aimed to predict breast cancer using different Machine learning approaches.

In this Project we build a chatbot program that stimulates human conversation “chatter” through text or voice interactions.