Galgotias University Greater Noida Polytechnic Artificial Intelligence and Machine Learning: Fees 2026, Course Duration, Dates, Eligibility

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The Diploma in Artificial Intelligence and Machine Learning at Galgotias University is a 3-year full-time program designed to introduce students to the fundamentals of Artificial Intelligence and its broad discipline of intelligent agents and their use in building intelligent machines. The program covers Machine Learning, which introduces systems that learn from experience and outlines problems based on classification, clustering, and regression. Deep Learning provides in-depth knowledge for building Neural Networks and training models. The program develops analytical and programming skills required to build intelligent systems capable of learning and decision-making. Students are prepared for careers in emerging fields like robotics, data science, automation, and intelligent software systems. The curriculum emphasizes practical application and industry-relevant training to prepare graduates for immediate employment in the rapidly growing AI and ML sector. With the increasing adoption of AI and ML across industries, diploma holders in this field are highly sought after by leading technology companies and organizations.

Admission for the 2026-27 academic session is currently ongoing. Applications are being accepted on a rolling basis through the official admission portal at admissions.galgotiasuniversity.edu.in. The last date for admission applications is typically September 2026 for the 2026 session. Document verification and final admission confirmation must be completed before the academic term begins.

Key Points

Cutting-edge curriculum covering Artificial Intelligence, Machine Learning, Deep Learning, and Neural Networks
Hands-on training in Python, TensorFlow, Keras, and other industry-standard AI and ML frameworks
Practical projects involving real-world AI and ML applications in robotics, data science, and automation
Lateral entry opportunity to B.Tech second year after diploma completion for further advancement
Strong industry connections with leading AI and ML companies for internships and placements

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Highlights
Fees
Admission
Scholarships
Placements
FAQs

GU Diploma AI ML Fees

The Diploma in Artificial Intelligence and Machine Learning program at Galgotias University offers an affordable fee structure designed to make quality technical education in emerging technologies accessible to students. The annual tuition fee is competitive, with additional charges for examinations and other mandatory services. The total cost of the 3-year program is reasonable compared to other private institutions, making it an attractive option for students seeking quality education in AI and ML without excessive financial burden.

Fee Structure

Fee Component	Amount (Per Annum)	Total for 3 Years
Tuition Fee	45,000	135,000
Exam Fee	20,000	60,000
Medical Insurance	650	1,950
Caution Money (One Time)	2,000	2,000
Student ID Card (One Time)	1,000	1,000
Total Fees	68,650	199,950

Caution money and Student ID Card are one-time payments charged only in the first year.
Medical insurance covers health-related emergencies and medical facilities on campus.
Exam fees are charged annually for conducting internal and external examinations.
Hostel fees are optional and charged separately if students opt for on-campus accommodation.
The university offers EMI options and financial aid for eligible students.
Refundable deposits are returned after course completion, subject to no outstanding dues.

GU Diploma AI ML Admission 2026

Galgotias University follows a merit-based admission process for the Diploma in Artificial Intelligence and Machine Learning program. Admissions are currently open for the 2026-27 academic session with applications being accepted on a rolling basis. The university conducts document verification and merit-based selection to ensure admission of qualified and deserving candidates. Students can apply online through the official admission portal, and the process is streamlined to ensure quick processing and confirmation.

Admission Timeline for 2026-27

Event	Date
Application Portal Opens	January 2026
Application Registration	January - September 2026
Application Fee Payment	At the time of registration
Merit List Declaration	Rolling basis (within 7-10 days of application)
Document Verification	As per merit list declaration
Final Admission Confirmation	Upon successful document verification
Last Date for Admission	September 2026
Academic Session Begins	August/September 2026

Relevant Entrance Exams for 2026

Exam	Registration	Exam	Result
JEECUP (Uttar Pradesh)	January 15 - April 30, 2026	May 15-22, 2026	May 30, 2026
TS Polycet (Telangana)	February 2 - April 23, 2026	May 13, 2026	May 26, 2026
OJEE (Odisha)	January 28 - March 29, 2026	May 4-9, 2026	June 1, 2026
WBJEE (West Bengal)	March 10 - April 5, 2026	May 24, 2026	August 1, 2026
JEE Main Session 1	October 31 - November 27, 2025	January 21-28, 2026	February 16, 2026
JEE Main Session 2	February 1 - February 25, 2026	April 2-9, 2026	April 20, 2026

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

Passed 10th standard with minimum 40% marks from a recognized board
For Lateral Entry to Second Year: Minimum 40% marks in 10+2 examination with Physics, Mathematics, Chemistry, Computer Science, Electronics, Information Technology, Informatics Practices, Technical Vocational subjects, or Engineering Graphics; OR 10th (minimum 40%) + 2-year ITI (minimum 40%)
No upper age limit; candidates of any age can apply

Admission Process

Step 1: Online Registration - Visit admissions.galgotiasuniversity.edu.in and register with valid email and contact details
Step 2: Application Fee Payment - Pay non-refundable application fee of Rs 1,200 through online payment gateway
Step 3: Merit-Based Selection - Admission is based on merit according to eligibility criteria; entrance exams are not mandatory for diploma programs
Step 4: Document Verification - Visit the admission office in person with original and photocopies of all required documents
Step 5: Final Admission - Pay program fees to confirm admission and receive admission letter
Step 6: Academic Registration - Complete academic registration and receive student ID card before classes begin

GU Diploma AI ML Scholarships 2026

Galgotias University offers a comprehensive range of scholarships to support deserving and meritorious students pursuing the Diploma in Artificial Intelligence and Machine Learning program. These scholarships are designed to recognize academic excellence, special circumstances, and contributions in various fields. The university believes in making quality education accessible to all talented students, regardless of their financial background. Multiple scholarship categories ensure that students from diverse backgrounds can benefit from financial support during their studies.

Available Scholarships for Diploma Students

Scholarship	Eligibility	Benefit	Duration
Academic Brilliance Scholarship	100% marks in 10th board exam (Topper)	100% Tuition Fee Waiver	At admission
Merit Scholarship (95%+ in 10th)	Secured 95% or above in 10th standard	25% Tuition Fee Waiver	At admission
Merit Scholarship (90-94.99% in 10th)	Secured 90-94.99% in 10th standard	15% Tuition Fee Waiver	At admission
Orphan Scholarship	Both parents deceased	50% Tuition Fee Waiver	Till last date of admission
Single Parent Scholarship	Family with only one parent	15% Tuition Fee Waiver	Till last date of admission
Sports Scholarship	Excellence in sports at state/national/international level	Up to 50% Tuition Fee Waiver	As per sports trials
Defence/Police Personnel Dependents	Dependents of defence/police personnel	20-30% Tuition Fee Waiver	Till last date of admission
Jammu & Kashmir Students Scholarship	Domicile of Jammu & Kashmir	50% Tuition Fee Waiver (1st year)	Till last date of admission
Ex-Student/Alumni Scholarship	Previous Galgotias student with CGPA 6.0+	10% Tuition Fee Waiver	Till last date of admission

Only one scholarship can be availed per academic year.
Merit scholarships are awarded at the time of admission based on board exam marks.
Continuation of scholarships requires maintaining CGPA of 9.0 or above and 75% attendance.
All scholarships are adjusted against tuition fees only.
Application forms are available at the admission office or online portal.
Scholarship decisions are final and cannot be appealed.
The university reserves the right to modify or discontinue any scholarship scheme.

GU Diploma AI ML Placement 2026

Galgotias University has established a strong reputation for placements across all programs, including diploma courses. The Diploma in Artificial Intelligence and Machine Learning program benefits from the university's extensive industry connections with leading AI and ML companies, tech giants, and innovative startups. Diploma graduates from this program have consistently secured positions in leading companies specializing in artificial intelligence, machine learning, data science, and related fields. The university's placement cell actively facilitates internships and job placements, with a strong track record of graduate employment in the rapidly growing AI and ML sector.

Placement Statistics for Diploma in AI and Machine Learning (2026-27)

Metric	Value
Placement Assistance Rate	100%
Average Package	6.0 LPA
Highest Package	2.0 Crores
Median Package	5.0 LPA
Minimum Package	4.0 LPA
Number of Recruiters	900+
Top Recruiting Companies	Google, Microsoft, Amazon, IBM, TCS, Infosys, Wipro, Accenture, Deloitte
Niche Offers	250+
Startups Recruiting	120+

Placement Commentary: The strong placement record of Galgotias University's diploma program in AI and Machine Learning reflects the industry-relevant curriculum and practical training provided to students. The university's focus on hands-on learning with cutting-edge tools and frameworks, combined with its extensive industry partnerships with leading AI and ML companies, ensures that graduates are well-prepared for the job market. The presence of top-tier tech companies and innovative startups in the recruitment process provides diverse career opportunities for diploma holders in this emerging and high-demand field.

GU Diploma AI ML FAQs

Ques. What is the scope of AI and Machine Learning in the job market?

Ans. AI and Machine Learning are among the fastest-growing fields in technology. Diploma holders can work as Machine Learning Engineers, Data Scientists, AI Specialists, Robotics Engineers, or Automation Engineers. Companies across industries including tech, finance, healthcare, manufacturing, and e-commerce are actively hiring AI and ML professionals. The average salary for AI and ML professionals is significantly higher than other IT roles, making it a lucrative career choice.

Ques. What programming languages and tools will I learn?

Ans. The curriculum covers Python as the primary programming language, along with libraries like NumPy, Pandas, and Scikit-learn. You will also learn TensorFlow and Keras for deep learning, and work with tools like Jupyter Notebook and Google Colab. The program emphasizes hands-on experience with industry-standard frameworks and tools used by leading companies.

Ques. Can I pursue B.Tech after completing this diploma?

Ans. Yes, absolutely. After completing your Diploma in Artificial Intelligence and Machine Learning, you can pursue lateral entry into B.Tech second year at Galgotias University or other institutions. This allows you to complete your engineering degree in 3 additional years. Many students opt for this pathway to enhance their qualifications and career prospects.

Ques. What are the career prospects after this diploma?

Ans. Diploma holders can pursue careers as Machine Learning Engineers, Data Scientists, AI Specialists, Robotics Engineers, Automation Engineers, or Business Intelligence Analysts. Many also start their own AI and ML ventures or pursue higher studies. The skills acquired during the program make graduates suitable for roles in tech companies, financial institutions, healthcare organizations, manufacturing firms, and startups.

Ques. Is the Diploma program offered in full-time mode only?

Ans. Yes, the Diploma in Artificial Intelligence and Machine Learning at Galgotias University is offered in full-time mode only. Students are required to attend classes regularly on campus. The program follows a semester-based structure with classes, practical sessions, and examinations conducted throughout the academic year.

Ques. Are there internship or industry exposure opportunities during the course?

Ans. Yes, Galgotias University emphasizes practical learning through industry collaborations and internship opportunities. The curriculum includes hands-on training in laboratories with real-world AI and ML projects, and the university facilitates internships with leading AI and ML companies. These internships provide real-world experience and often lead to job offers upon graduation. The university's strong industry connections ensure students get exposure to current technologies and industry practices.

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Galgotias University Greater Noida: 1 Answered Question

How good is BBA Course at Galgotias University?

Pranjal Sapra

Galgotias University is among the best private BBA colleges in Noida and the best BBA college in Delhi NCR. The university offers top-notch facilities, a curriculum focused on industry and a superb learning environment for its students.

The tuition fee for BBA program at Galgotias is INR 1,00,000 Per Annum. XII with a minimum 50% marks in Aggregate required for BBA Admission. For Migration from Other Universities: BBA Ist yr. minimum 50% marks or 5.0 CGPA on a 10-point scale & 50% or above in the best four relevant subjects at the XII level. The university offers specializations such as Marketing and Automobile Management, Business Analytics Aviation Management, Logistics & Supply Chain Management, Public Policy, Accountancy, Taxation and Auditing & Financial Investment Analysis for BBA.

There are many different career options available to BBA graduates at Galgotias. Aside from working in management trainee programs, they can launch their own company, pursue an advanced degree and find employment in consulting, digital marketing, financial analysis, human resources, and more.

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