New-age, Industry-integrated

B. Tech in Computer Science with AI

A high-impact 4 year engineering degree jointly developed and delivered through an industry-academia partnership between Galgotias University and Accenture LearnVantage, designed for the AI-powered world.

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Industry-Academia Partnership

Industry Academia Collaboration Framework

Accenture Centre of Advanced Studies

Accenture is the world’s largest professional services company and stands at the forefront of global innovation, driving reinvention at scale and building the next generation of industry-ready talent.

100+ Innovation centres

500+ Institutional & academic partnership

200Mn Professionals empowered

We work with leading organisations across industries and have the first-hand understanding of how technology is reshaping the skills required for success. Through this collaboration, we are bringing deep industry perspective directly into the student learning experience, empowering them to build capabilities aligned with the future of work.

Anurag Bansal

Managing Director, Accenture LearnVantage Asia-Oceania

Galgotias University

Galgotias University stands at the forefront of higher education in India, offering global-standard academics designed to empower students for success in the evolving world of work.

#16th Amongst top private universities in India

#3rd Amongst private universities in Uttar Pradesh

#46th Amongst top private and Government universities in India

Universities must prepare students for a world that has already changed and continues to evolve rapidly. As part of this collaboration we are bringing cutting-edge industry expertise directly into our classrooms. This will empower students to build practical capabilities, adapt with confidence and become lifelong learners in an AI-powered world.

Dr. Dhruv Galgotia

CEO, Galgotias University

Vibrant campus ecosystem Industry relevant curriculum Futuristic specializations Industry hands-on projects

Inside the Degree

Curriculum built for technology driven world

Build techno-management skills through a future-focused curriculum that combines core management education with AI-integrated specializations.

Semester I

Total Credits: 22

Code	Course Title	Type	L	T	P	Credits	Hours
CLA101	Programming Fundamentals with Python	Blended	3	0	1	4	5
CLA102	Mathematics for Computing	Blended	2	1	1	4	5
CLA103	Computer Networks Fundamentals	Blended	3	0	1	4	5
CLA104	Database Management Systems	Blended	2	0	1	3	4
CLA105	Communication Skills	Theory	2	0	0	2	2
CLA106	Innovation Lab	Practical	0	0	1	1	2
CLA107	Professional Readiness-I	Practical	0	0	2	2	4
CLA108	Computational Thinking	Theory	2	0	0	2	2

Semester II

Total Credits: 20

Code	Course Title	Type	L	P	Credits	Hours
CLA201	Data Structures	Blended	3	1	4	5
CLA202	Machine Learning Foundations	Blended	3	1	4	5
CLA203	Cloud Fundamentals (AWS/Azure/GCP)	Blended	2	1	3	4
CLA204	Discrete Mathematics	Theory	3	0	3	3
CLA205	AI Literacy and Prompt Engineering	Blended	2	1	3	4
CLA206	Next Generation Innovation Lab	Practical	0	1	1	2
CLA207	Indian Knowledge System	Theory	2	0	2	2

Semester III

Total Credits: 20

Code	Course Title	Type	L	P	Credits	Hours
CLA301	Linux and System Administration	Blended	2	1	3	4
CLA302	Cloud Infrastructure and Virtualization	Blended	3	1	4	5
CLA303	DevOps Fundamentals Lab	Practical	0	3	3	6
CLA304	Networking and Security Fundamentals	Blended	3	1	4	5
CLA305	Operating Systems Fundamentals	Blended	3	1	4	5
CLA306	Design Thinking and Innovation-1	Theory	2	0	2	2

Semester IV

Total Credits: 20

Code	Course Title	Type	L	P	Credits	Hours
CLA401	Containerization and Orchestration (Docker & Kubernetes)	Blended	2	1	3	4
CLA402	Cloud Databases and Storage Systems	Blended	2	1	3	4
CLA403	Infrastructure as Code (Terraform/Ansible)	Blended	2	1	3	4
CLA404	Distributed Systems Fundamentals	Blended	3	1	4	5
CLA405	Deep Learning Foundations	Blended	2	1	3	4
CLA406	Python for Cloud Automation	Blended	2	1	3	4
CLA407	Cloud FinOps and Cost Optimization	Practical	0	1	1	2

Semester V

Total Credits: 20

Code	Course Title	Type	L	P	Credits	Hours
CLA501	MLOps and AI Infrastructure	Blended	2	1	3	4
CLA502	Cloud Security and Compliance	Blended	2	1	3	4
CLA503	Serverless Computing	Blended	2	1	3	4
CLA504	Site Reliability Engineering	Blended	2	1	3	4
CLA505	Elective 1	Blended	2	1	3	4
CLA506	Multi-Cloud and Hybrid Architectures	Blended	2	1	3	4
CLA507	Research Methodology and IPR	Blended	1	1	2	3

Semester VI

Total Credits: 20

Code	Course Title	Type	L	P	Credits	Hours
CLA601	Generative AI on Cloud Platforms (Bedrock/Vertex/Azure OpenAI)	Blended	2	1	3	4
CLA602	Cloud-Native AI Deployment	Blended	1	1	2	3
CLA603	Edge Computing and IoT Integration	Blended	3	1	4	5
CLA604	Elective 2	Blended	2	1	3	4
CLA605	Cloud Governance and Responsible AI	Theory	2	0	2	2
CLA606	Cloud-Native Product Lab	Practical	0	2	2	4
CLA607	UG Research	Theory	3	0	3	3
CLA608	Emerging Cloud Technologies Seminar	Practical	0	1	1	2

Semester VII

Total Credits: 24

Code	Course Title	Type	L	P	Credits	Hours
CLA701	Capstone Project Phase 1	Project	0	7	7	14
CLA702	Summer Internship	Project	0	3	3	6
CLA703	Elective 3	Blended	3	1	4	5
CLA704	Elective 4	Blended	3	1	4	5
CLA705	Open Elective 1	Theory	3	0	3	3
CLA706	Open Elective 2	Theory	3	0	3	3

Semester VIII

Total Credits: 24

Code	Course Title	Type	P	Credits	Hours
CLA801	Capstone Project Phase 2	Project	15	15	30
CLA802	MOOC Certification	Practical	3	3	6
CLA803	Industrial Training	Project	6	6	12

Total Semester Credits Summary

Overall Programme Credits: 170

Semester	Credits
Semester I	22
Semester II	20
Semester III	20
Semester IV	20
Semester V	20
Semester VI	20
Semester VII	24
Semester VIII	24
Total	170

Semester I

Total Credits: 22

Code	Course Title	Type	L	T	P	Credits	Hours
DSA101	Programming Fundamentals with Python	Blended	3	0	1	4	5
DSA102	Mathematics for AI (Linear Algebra, Calculus, Probability)	Blended	2	1	1	4	5
DSA103	Database Management Systems	Blended	3	0	1	4	5
DSA104	Foundation of Data Science	Blended	2	0	1	3	4
DSA105	Communication Skills	Theory	2	0	0	2	2
DSA106	Innovation Lab	Practical	0	0	1	1	2
DSA107	Professional Readiness-I	Practical	0	0	2	2	4
DSA108	Computational Thinking	Theory	2	0	0	2	2

Semester II

Total Credits: 20

Code	Course Title	Type	L	T	P	Credits	Hours
DSA201	Machine Learning	Blended	3	0	1	4	5
DSA202	Probability and Statistics	Blended	2	1	1	4	5
DSA203	Cloud Fundamentals for AI Workloads	Blended	2	0	1	3	4
DSA204	Data Visualization and Storytelling	Blended	3	0	1	4	5
DSA205	AI Literacy and Prompt Engineering	Blended	1	0	1	2	3
DSA206	Next Generation Innovation Lab	Practical	0	0	1	1	2
DSA207	Indian Knowledge System	Theory	2	0	0	2	2

Semester III

Total Credits: 21

Code	Course Title	Type	L	P	Credits	Hours
DSA301	Deep Learning	Blended	2	2	4	6
DSA302	Data Engineering and Pipelines	Blended	3	1	4	5
DSA303	Design and Analysis of Algorithms	Blended	3	1	4	5
DSA304	Statistical Learning and Predictive Analytics	Blended	2	1	3	4
DSA305	Data Structures	Blended	3	1	4	5
DSA306	Design Thinking and Innovation-1	Theory	2	0	2	2

Semester IV

Total Credits: 20

Code	Course Title	Type	L	P	Credits	Hours
DSA401	Natural Language Processing	Blended	3	1	4	5
DSA402	MLOps and Model Deployment	Blended	3	1	4	5
DSA403	Operating Systems	Blended	3	1	4	5
DSA404	Big Data Analytics	Blended	2	1	3	4
DSA405	Ethical and Responsible AI	Theory	2	0	2	2
DSA406	Computer Vision Lab	Practical	0	2	2	4
DSA407	Data Governance and Privacy	Theory	1	0	1	1

Semester V

Total Credits: 20

Code	Course Title	Type	L	P	Credits	Hours
DSA501	Generative AI and Prompt Engineering	Blended	2	1	3	4
DSA502	Data Mining and Warehousing	Blended	2	1	3	4
DSA503	Computer Networks	Blended	3	1	4	5
DSA504	Elective 1	Blended	3	1	4	5
DSA505	AI Product Development Lab	Practical	0	2	2	4
DSA506	Research Methodology and IPR	Blended	1	1	2	3
DSA507	Competitive ML and Kaggle Practicum	Project	0	2	2	4

Semester VI

Total Credits: 21

Code	Course Title	Type	L	P	Credits	Hours
DSA601	Agentic AI and RAG	Blended	2	1	3	4
DSA602	Time Series Analytics and Forecasting	Blended	2	1	3	4
DSA603	Software Engineering for AI Systems	Blended	3	1	4	5
DSA604	Elective 2	Blended	2	1	3	4
DSA605	Data Ethics, Cyber Law and Governance	Theory	2	0	2	2
DSA606	AI Product Development Studio	Blended	1	2	3	5
DSA607	UG Research	Theory	3	0	3	3

Semester VII

Total Credits: 23

Code	Course Title	Type	L	P	Credits	Hours
DSA701	Capstone Project Phase 1	Project	0	7	7	14
DSA702	Summer Internship	Project	0	3	3	6
DSA703	Elective 3	Blended	3	1	4	5
DSA704	Elective 4	Blended	3	1	4	5
DSA705	Open Elective 1	Theory	2	0	2	2
DSA706	Open Elective 2	Theory	3	0	3	3

Semester VIII

Total Credits: 24

Code	Course Title	Type	P	Credits	Hours
DSA801	Capstone Project Phase 2	Project	15	15	30
DSA802	MOOC Certification	Practical	3	3	6
DSA803	Industrial Training	Project	6	6	12

Total Semester Credits Summary

Overall Programme Credits: 171

Semester	Credits
Semester I	22
Semester II	20
Semester III	21
Semester IV	20
Semester V	20
Semester VI	21
Semester VII	23
Semester VIII	24
Total	171

Semester I

Total Credits: 22

Code	Course Title	Type	L	P	Credits	Hours
DEN101	Foundations of Design (Visual Design, Colour, Typography)	Blended	3	1	4	5
DEN102	Programming Fundamentals with Python	Blended	3	1	4	5
DEN103	Mathematics and Statistics for Designers	Theory	3	0	3	3
DEN104	Introduction to Human-Computer Interaction	Blended	2	1	3	4
DEN105	Communication Skills	Theory	2	0	2	2
DEN106	Design Studio Lab-I (Sketching & Ideation)	Practical	0	2	2	4
DEN107	Professional Readiness-I	Practical	0	2	2	4
DEN108	Computational Thinking	Theory	2	0	2	2

Semester II

Total Credits: 21

Code	Course Title	Type	L	P	Credits	Hours
DEN201	User Research and Design Thinking	Blended	3	1	4	5
DEN202	Interaction Design Fundamentals	Blended	3	1	4	5
DEN203	Frontend Development for Designers (HTML/CSS/JS)	Blended	2	1	3	4
DEN204	Data Structures and Web Basics	Blended	2	1	3	4
DEN205	AI Tools for Design and Prototyping	Blended	2	1	3	4
DEN206	Design Studio Lab-II (Wireframing & Prototyping in Figma)	Practical	0	2	2	4
DEN207	Indian Knowledge System	Theory	2	0	2	2

Semester III

Total Credits: 20

Code	Course Title	Type	L	P	Credits	Hours
DEN301	Visual Interface Design and Design Systems	Blended	3	1	4	5
DEN302	Information Architecture and Usability	Blended	2	1	3	4
DEN303	Database Management Systems	Blended	1	1	2	3
DEN304	Design Research Methods	Blended	2	2	4	6
DEN305	Motion Design and Micro-interactions	Blended	2	1	3	4
DEN306	Design Studio Lab-III (End-to-End Product Design)	Practical	0	2	2	4
DEN307	Accessibility and Inclusive Design	Theory	2	0	2	2

Semester IV

Total Credits: 20

Code	Course Title	Type	L	P	Credits	Hours
DEN401	Service Design and Systems Thinking	Blended	3	1	4	5
DEN402	Design for AI Products (Human-AI Interaction Design)	Blended	3	1	4	5
DEN403	Front-End Engineering for Product Teams (React)	Blended	2	1	3	4
DEN404	Usability Testing and Evaluation Methods	Blended	2	1	3	4
DEN405	Generative AI for Design (AI Image/Content Generation)	Blended	2	1	3	4
DEN406	Design Studio Lab-IV (AI-Augmented Design Sprint)	Practical	0	2	2	4
DEN407	Design Ethics and Responsible AI	Theory	1	0	1	1

Semester V

Total Credits: 22

Code	Course Title	Type	L	T	P	Credits	Hours
DEN501	Design Strategy and Product Management	Blended	2	1	1	4	5
DEN502	Advanced Prototyping and Design Engineering Tools	Blended	2	0	1	3	4
DEN503	Design Systems at Scale (Component Libraries)	Blended	2	0	1	3	4
DEN504	Agentic AI Interfaces and Conversational Design	Blended	2	0	1	3	4
DEN505	Elective 1	Blended	2	0	1	3	4
DEN506	Brand and Visual Identity Design	Blended	2	0	1	3	4
DEN507	Research Methodology and IPR	Blended	2	0	1	3	4

Semester VI

Total Credits: 20

Code	Course Title	Type	L	P	Credits	Hours
DEN601	Design Leadership and Team Management	Theory	3	0	3	3
DEN602	AI-Augmented Design Ops	Blended	2	1	3	4
DEN603	Data-Informed Design (Analytics for Design Decisions)	Blended	2	1	3	4
DEN604	Elective 2	Blended	2	1	3	4
DEN605	Design Ethics, Privacy and Dark Patterns	Theory	2	0	2	2
DEN606	Portfolio Design Studio Lab	Practical	0	2	2	4
DEN607	UG Research	Theory	2	0	2	2
DEN608	Future of Design Seminar (AR/VR/Spatial Design)	Blended	1	1	2	3

Semester VII

Total Credits: 22

Code	Course Title	Type	L	P	Credits	Hours
DEN701	Capstone Project Phase 1	Project	0	7	7	14
DEN702	Summer Internship	Project	0	3	3	6
DEN703	Elective 3	Blended	3	1	4	5
DEN704	Elective 4	Blended	3	1	4	5
DEN705	Open Elective 1	Theory	2	0	2	2
DEN706	Open Elective 2	Theory	2	0	2	2

Semester VIII

Total Credits: 24

Code	Course Title	Type	P	Credits	Hours
DEN801	Capstone Project Phase 2	Project	15	15	30
DEN802	MOOC Certification	Practical	3	3	6
DEN803	Industrial Training	Project	6	6	12

Total Semester Credits Summary

Overall Programme Credits: 171

Semester	Credits
Semester I	22
Semester II	21
Semester III	20
Semester IV	20
Semester V	22
Semester VI	20
Semester VII	22
Semester VIII	24
Total	171

Semester I

Total Credits: 22

Code	Course Title	Type	L	T	P	Credits	Hours
FSA101	Programming Fundamentals with Python	Blended	3	0	1	4	5
FSA102	Mathematics for Computing	Blended	2	1	1	4	5
FSA103	Web Foundations (HTML, CSS, JavaScript)	Blended	2	0	1	3	4
FSA104	Database Management Systems	Blended	3	0	1	4	5
FSA105	Communication Skills	Theory	2	0	0	2	2
FSA106	Innovation Lab	Practical	0	0	1	1	2
FSA107	Professional Readiness-I	Practical	0	0	2	2	4
FSA108	Computational Thinking	Theory	2	0	0	2	2

Semester II

Total Credits: 20

Code	Course Title	Type	L	P	Credits	Hours
FSA201	Data Structures	Blended	3	1	4	5
FSA202	Object-Oriented Programming with Java	Blended	3	1	4	5
FSA203	Frontend Development with React	Blended	2	1	3	4
FSA204	Discrete Mathematics	Theory	3	0	3	3
FSA205	Software Engineering Principles	Theory	3	0	3	3
FSA206	Next Generation Innovation Lab	Practical	0	1	1	2
FSA207	Indian Knowledge System	Theory	2	0	2	2

Semester III

Total Credits: 21

Code	Course Title	Type	L	P	Credits	Hours
FSA301	Backend Development with Node.js	Blended	3	1	4	5
FSA302	Algorithms and Complexity	Blended	3	1	4	5
FSA303	Operating Systems	Blended	3	1	4	5
FSA304	AI-Assisted Coding and Prompt Engineering	Blended	3	1	4	5
FSA305	Cloud Fundamentals (AWS/Azure/GCP)	Blended	2	1	3	4
FSA306	Design Thinking and Innovation-1	Theory	2	0	2	2

Semester IV

Total Credits: 20

Code	Course Title	Type	L	P	Credits	Hours
FSA401	Full Stack Development (MERN Stack)	Blended	3	1	4	5
FSA402	API Design and Microservices	Blended	3	1	4	5
FSA403	Computer Networks	Blended	3	1	4	5
FSA404	DevOps and CI/CD Fundamentals	Blended	2	1	3	4
FSA405	Generative AI for Product Features (LLM APIs & RAG)	Blended	2	1	3	4
FSA406	Software Testing and QA Automation Lab	Practical	0	2	2	4

Semester V

Total Credits: 21

Code	Course Title	Type	L	P	Credits	Hours
FSA501	System Design and Scalable Architectures	Blended	3	1	4	5
FSA502	Mobile App Development	Blended	2	1	3	4
FSA503	Security and Authentication Engineering	Blended	2	1	3	4
FSA504	Agentic AI for Software Products	Blended	2	1	3	4
FSA505	Elective 1	Blended	2	1	3	4
FSA506	Advanced Cloud-Native Development (Docker & Kubernetes)	Blended	2	1	3	4
FSA507	Research Methodology and IPR	Blended	1	1	2	3

Semester VI

Total Credits: 20

Code	Course Title	Type	L	P	Credits	Hours
FSA601	Software Product Management	Theory	3	0	3	3
FSA602	AI-Powered DevSecOps	Blended	2	1	3	4
FSA603	Real-Time and Event-Driven Systems	Blended	2	1	3	4
FSA604	Elective 2	Blended	2	1	3	4
FSA605	Responsible Engineering and Data Ethics	Theory	2	0	2	2
FSA606	Software Product Development Lab	Practical	0	2	2	4
FSA607	UG Research	Theory	2	0	2	2
FSA608	Next-Gen Tech Trends Seminar	Practical	0	2	2	4

Semester VII

Total Credits: 22

Code	Course Title	Type	L	P	Credits	Hours
FSA701	Capstone Project Phase 1	Project	0	7	7	14
FSA702	Summer Internship	Project	0	3	3	6
FSA703	Elective 3	Blended	3	1	4	5
FSA704	Elective 4	Blended	3	1	4	5
FSA705	Open Elective 1	Theory	2	0	2	2
FSA706	Open Elective 2	Theory	2	0	2	2

Semester VIII

Total Credits: 24

Code	Course Title	Type	P	Credits	Hours
FSA801	Capstone Project Phase 2	Project	15	15	30
FSA802	MOOC Certification	Practical	3	3	6
FSA803	Industrial Training	Project	6	6	12

Total Semester Credits Summary

Overall Programme Credits: 170

Semester	Credits
Semester I	22
Semester II	20
Semester III	21
Semester IV	20
Semester V	21
Semester VI	20
Semester VII	22
Semester VIII	24
Total	170

An immersive on-campus learning experience

Uniquely blended with live online sessions with industry experts, hands-on learning and preparing students for the new-age careers.

Learn

▶ Academic Foundations
▶ Faculty-led Learning
▶ Core Concepts

Apply

▶ Hands-on labs
▶ Virtual Simulations
▶ Case Studies

Experience

▶ Industry Projects
▶ Practitioner Sessions
▶ Interships

Prepare

▶ Career Readiness
▶ Placement Support
▶ Professional Development

Comprehensive Career Services

Career readiness-training
that gives you the perfect start

Aptitude training sessions and test

Resume building sessions

Communication training sessions

LinkedIn profile creation

Personalized mock interviews

Career readiness reports

B. Tech in Computer Science with AI graduate ready for the world of technology

Learning Outcomes

Graduate with business acumen and AI awareness

✓ Develop techno-managerial understanding
✓ Attain skills that are in high demand
✓ Experience practical and hands-on learning
✓ Gain real-world business experience
✓ Get ready for jobs of the future

Eligibility Criteria

Candidates must have secured a minimum of 60% marks in Class X and a minimum of 60% marks in Physics, Mathematics, and any one of the following subjects in Class XII: Chemistry, Computer Science, Information Technology, Informatics Practices, Electronics, Engineering Graphics, or Technical Vocational Subjects, followed by a Personal Interview.

Fee details

Fee Structure

B. Tech in Computer Science with AI fee structure breakdown
Duration	4 Years (8 Semesters)
Tuition Fee (per annum)	₹2,50,000
Exam Fee (per annum)	₹20,000
Accidental Insurance (per annum)	₹650
Caution Money (One Time)	₹2,000
Student ID Card	₹1,000

Application Fee*

₹1,200

Scholarship - Students admitted to these programs will be eligible for scholarships as per the policy of Galgotias University. *Application fees paid are non-refundable and non-transferable.

Disclaimer: The tuition fee is subject to revision in accordance with university policies. Additional charges, if applicable, will be communicated separately.

Financial aid and loan facilities

Access quality education without financial worries. Galgotias University partners with leading banks and NBFCs to provide convenient education loan options, helping students finance their academic journey with ease.

Punjab National Bank education loan partner

Talk to a Career Advisor

Application Process

Step-By-Step Admission Process

Online/Offline Registration

Apply through the admissions portal or visit the on-site admission office. Verify your email and pay the application fee.

Selection Process

Admissions are merit-based. Selected students receive a Provisional Admission Offer Letter.

Check Eligibility

Review the eligibility criteria and fee structure for your chosen program before applying.

Personal Interview

Some programs require a GU entrance exam or accept national-level entrance tests, depending on the course.

Document Verification & Fee Payment

Visit the Admission Office with the required original documents and photocopies. Pay the program fee to confirm admission.

Start your B. Tech in Computer Science with AI journey

Build the techno-managerial edge to lead business in an AI-driven world

B. Tech in Computer Science with AI students

New-age, Industry-integrated

B. Tech in Computer Science with AI

Industry Academia Collaboration Framework

Accenture Centre of Advanced Studies

Galgotias University

Curriculum built for technology driven world

Semester I

Semester II

Semester III

Semester IV

Semester V

Semester VI

Semester VII

Semester VIII

Total Semester Credits Summary

Semester I

Semester II

Semester III

Semester IV

Semester V

Semester VI

Semester VII

Semester VIII

Total Semester Credits Summary

Semester I

Semester II

Semester III

Semester IV

Semester V

Semester VI

Semester VII

Semester VIII

Total Semester Credits Summary

Semester I

Semester II

Semester III

Semester IV

Semester V

Semester VI

Semester VII

Semester VIII

Total Semester Credits Summary

An immersive on-campus learning experience

Career readiness-training that gives you the perfect start

Graduate with business acumen and AI awareness

Eligibility Criteria

Fee details

Step-By-Step Admission Process

Online/Offline Registration

Selection Process

Check Eligibility

Personal Interview

Document Verification & Fee Payment

Start your B. Tech in Computer Science with AI journey

Career readiness-training
that gives you the perfect start