Programs
UG Degree
B.Tech CSE AIML - in Partnership with Microsoft
4 Years
Syllabus PDF
Download BrochureOverview
Focused on AI/ML, Deep Learning, Generative AI, data engineering, and ethical AI. Emphasis on model development, system design, MLOps exposure, and cloud AI services. Students prepare for Azure certifications and build deployable AI solutions with industry mentorship.
Eligibility Criteria
10+2 with Physics & Mathematics + Eng/CS; 65% in PCM/English combo, 50% overall
Academic Fee
- 1st Year : INR.2,45,000/-
- 2nd Year : INR.2,50,000/-
- 3rd Year : INR.2,55,000/-
- 4th Year : INR.2,60,000/-
Scholarship
For B Tech Students On the basis of PCM percentage
Candidates eligible for scholarship on the basis of Physics, Chemistry & Mathematics percentage at 10+2 level as mentioned below:
Note: The scholarship amount received in the first year will be applicable for all subsequent years. The student must maintain a minimum CPI of 8.00 to avail the scholarship in the next year of his/her studies.
Top-Tier Companies in Our Placement Network
Programs
B.Tech CSE AIML - in Partnership with Microsoft
4 Years
Syllabus PDF
Download BrochureOverview
Focused on AI/ML, Deep Learning, Generative AI, data engineering, and ethical AI. Emphasis on model development, system design, MLOps exposure, and cloud AI services. Students prepare for Azure certifications and build deployable AI solutions with industry mentorship.
Eligibility Criteria
10+2 with Physics & Mathematics + Eng/CS; 65% in PCM/English combo, 50% overall
Academic Fee
- 1st Year : INR.2,45,000/-
- 2nd Year : INR.2,50,000/-
- 3rd Year : INR.2,55,000/-
- 4th Year : INR.2,60,000/-
GLdvantage
Designed to Produce Future-Ready Engineers
At GLA University, we emphasize education beyond classrooms with project-based learning to ensure our students imbibe what the industry requires.
Specialisation in Artificial Intelligence and Machine Learning
The programme integrates the core principles of computer science with specialised knowledge in Artificial Intelligence and Machine Learning, enabling students to understand intelligent systems and data driven technologies.
Strong Computer Science Foundation
Students study essential subjects such as programming, data structures, algorithms, operating systems, computer networks, and database management systems.
Focus on Emerging Technologies
The curriculum introduces concepts related to machine learning, artificial intelligence, and data analysis that support modern technological innovation.
Practical and Project Based Learning
Laboratory sessions, coding exercises, and technical projects allow students to apply theoretical concepts to real computing problems.
Industry Oriented Skill Development
The programme encourages analytical thinking, logical reasoning, and programming skills required for modern technology driven careers.
Rankings & Accreditations
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UGC
12B Status by UGC
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NAAC A+
Accredited
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#200
NIRF Ranking 2025
Listed among the Top 200 Engineering Institutes in India
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#781-790
Overall Asia Rank
Ranked in the 781–790 Band in Asia Overall
Career Prospects
Graduates specialising in Artificial Intelligence and Machine Learning have growing opportunities as organisations increasingly adopt intelligent technologies and data driven solutions
Graduates may also pursue higher studies in computer science, artificial intelligence, data science, or related specialised fields.
Students can explore opportunities in
- Software development and IT companies
- Artificial intelligence and data driven organisations
- Technology consulting firms
- Financial technology and e commerce companies
- Research and development organisations
Common career roles include
- AI Engineer
- Machine Learning Engineer
- Software Developer
- Data Analyst
- Application Developer
- System Analyst
- Software Engineer
- Technology Consultant
Research
Think Beyond Innovation in a Research-Driven Environment
Our researchers pushing the frontiers of knowledge and discovery to explore complex problems and find solutions.
850+
Patents
Published
14
Research
Centres
12k+
Publications in
SCI & Scopus
Outcomes & Objectives
Apply knowledge of mathematics, computing fundamentals, and engineering principles to solve computer science problems.
Analyse complex computing challenges and design appropriate software based solutions.
Develop software systems and computational models using programming languages and modern development tools.
Conduct experiments, analyse computing data, and interpret results to support intelligent system development.
Use contemporary tools and technologies related to computing, artificial intelligence, and data processing.
Understand professional ethics, cybersecurity awareness, and the broader societal implications of computing technologies.
Communicate technical concepts effectively and work collaboratively within multidisciplinary teams.
Engage in continuous professional development to stay updated with emerging computing technologies.
Equip students with a solid understanding of computer science fundamentals along with specialised knowledge in Artificial Intelligence and Machine Learning.
Prepare graduates to develop intelligent computing solutions and contribute effectively to technology driven industries.
Encourage students to understand the ethical and societal impact of artificial intelligence and computing technologies.
Motivate graduates to adapt to evolving technologies and pursue lifelong learning through professional practice or higher studies.
Apply concepts of artificial intelligence and machine learning to analyse data and develop intelligent solutions.
Design and implement software systems using programming techniques, algorithms, and data structures.
Use computational methods and analytical thinking to solve real world problems through intelligent technologies.
Use contemporary programming tools, development environments, and computing frameworks in technology projects.
Why B.Tech CSE (AI & ML) in Partnership with Microsoft?
B.Tech CSE (AI & ML) in Partnership with Microsoft is a future-focused program designed to equip students with cutting-edge skills in artificial intelligence, machine learning, and data-driven technologies. The collaboration with Microsoft ensures exposure to globally recognized tools, platforms, and industry practices, preparing students to excel in the rapidly evolving digital landscape.
The program combines strong fundamentals in computer science with specialized training in AI, data science, and intelligent systems. Students gain hands-on experience through industry projects, labs, and real-world case studies using modern technologies and platforms. Guided by expert faculty and supported by industry insights, the course prepares graduates to innovate and lead in advanced technology domains.
What else can you do while studying at GLA
GLA University offers a wide range of campus extra-curricular activities across all domains.
These activities are organized through student clubs, departmental societies, university festivals, and regular institutional programs. Typical categories and representative examples
B.Tech CSE AIML - in Partnership with Microsoft Frequently Asked Questions
Admission Process
How to apply to GLA
Registration
Register online by filling in your basic details on the admission portal.
https://
student.glauniversity.in/
Main/Admission
That’s it — your journey with GLA begins here.
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