Best AI and Machine Learning College in Ghaziabad | Top Artificial Intelligence Colleges

B.Tech – CS (Artificial Intelligence & Machine Learning) (CS-AI&ML)

Sanskar College of Engineering & Technology

College Code	Student Intake	Duration
215	60	4 years

As the Best AI and Machine Learning College in Ghaziabad, Sanskar Educational Group offers a 4‑year B.Tech – CS (Artificial Intelligence & Machine Learning) program that blends strong computer science fundamentals with next‑generation AI and ML skills. The course is affiliated with Dr. APJ Abdul Kalam Technical University (AKTU), Lucknow and approved by AICTE, ensuring your B.Tech degree is recognised across India and abroad.

Artificial Intelligence and Machine Learning at Sanskar focus on real‑world applications such as speech recognition, computer vision, natural language processing, recommendation engines and intelligent automation, preparing students for high‑growth technology careers. This makes the program a strong choice for students comparing B.Tech AI intelligence colleges Ghaziabad and looking for a future‑ready curriculum in Delhi‑NCR.

AI applications include advanced web search engines (e.g., Google Search), recommendation systems (used by YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Waymo), generative or creative tools (ChatGPT and AI art), automated decision-making and competing at the highest level in strategic game systems (such as chess and Go).

Sanskar Educational Group offers 4 Years, Engineering Under-Graduate Program in the domain of Artificial Intelligence & Machine Learning (AI & ML), in affiliation with Dr. APJ Abdul Kalam Technical University (AKTU), Lucknow and approved by All India Council for Technical Education (AICTE), New Delhi.

Why study B. Tech – CS (AI & ML) from Sanskar Educational Group?

Sanskar Educational Group is positioned among the Top Artificial Intelligence Colleges in Ghaziabad, offering a modern campus in the Delhi‑NCR region with well‑equipped AI & ML labs, smart classrooms and a student‑friendly learning environment.
With more than 210+ recruiters, SEG recorded an average CTC of Rs. 3.30 Lakhs in Academic Session 2024-25.
SEG offers extraordinary assistance to students in form of scholarships, on the basis of their academic performance.
Study at one of the most beautiful campus in Delhi NCR, with well equipped labs and smart classrooms, for a better learning experience.

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Dr. Dharmendra Singh

Director – Sanskar College of Engineering & Technology

The Department of Engineering at Sanskar Educational Group began with a clear mission to evolve into a centre of excellence that responds to changing industry needs and nurtures highly skilled engineers. Under the guidance of experienced leadership, the B.Tech CS (AI & ML) program focuses on outcome‑based education, practical problem‑solving and continuous upskilling in emerging technologies.

Faculty members bring a blend of academic depth and industry exposure, mentoring students through projects, hackathons, certifications and research initiatives in Artificial Intelligence and Machine Learning. This guided environment strengthens the credibility of Sanskar as one of the Top Artificial Intelligence Colleges in Ghaziabad for serious, career‑oriented learners.

Placement Opportunities

In recent years, SEG has recorded the highest package of about Rs. 8.6 LPA and an average package of around Rs. 3.30 LPA across disciplines, with over 200 recruiters visiting the campus. This strong placement ecosystem reinforces the standing of Sanskar as one of the best AI and Machine Learning college in Ghaziabad for students focused on employability and long‑term career growth.

The 2024 – 25 Academic Year has been a great success, in terms of campus placement, as the institute recorded.

210+

Companies

More than 210+ Companies offered jobs to students at SEG, Delhi NCR

7.00

Lakhs

Highest CTC of Rs. 7.00 Lakhs offered by Investoxpert.

3.30

Lakhs

Average CTC of Rs. 3.30 Lakhs, a 15% increase from last academic session.

180+

Students

180+ Students secured placement in 2024-25 academic session.

Notable Alumni

Aman Bhardwaj
Netsmartz
Mohit
Maxtra Technologies
Akansha Kansal
Systaldyn
Renu Rani
Tekshapers
Gaurav Mehra
Webkul
Anjali Choudhary
HDFC Life
Abdul Rahman
Appinventive
Priya Som
Hike Education

Recruiters

With more than 210+ companies on campus spread across varied sectors, profiles and country, we ensure that our students are well equipped to meet industry requirements the moment they step out of our gates. We partner with and support our students every step of the way; right from their selection to their final placements.

Check out our Placement Report

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Course Curriculum

The Artificial Intelligence& Machine Learning (AI & ML), Department, offers curriculum as prescribed by Dr. APJ Abdul Kalam Technical University, Lucknow which is designed in consultation with industry experts. The curriculum divided over 8 Semesters is as follows:

Semester 1

Sr. No	Course Code	Course Title	Internal Marks	External Marks	Total Marks	Credits
1	KAS101T	Engineering Physics	50	100	150	4
2	KAS103T	Engineering Mathematics-I	50	100	150	4
3	KEE101T	Basic Electrical Engineering	50	100	150	3
4	KCS101T	Programming for Problem Solving	50	100	150	3
5	KMC101T	AI For Engineering	25	25	50	2
6	KNC101T	Soft Skill I	25	25	–	–
7	KAS151P	Engineering Physics Lab	25	25	50	1
8	KEE151P	Basic Electrical Engineering Lab	25	25	50	1
9	KCS151P	Programming for Problem Solving Lab	25	25	50	1
10	KCE151P	Engineering Graphics & Design Lab	50	50	100	1
					900	20

Semester 2

Sr. No	Course Code	Course Title	Internal Marks	External Marks	Total Marks	Credits
1	KAS102T	Engineering Chemistry	50	100	150	4
2	KAS103T	Engineering Mathematics-I	50	100	150	4
3	KEC101T	Emerging Domain in Electronics Engineering	50	100	150	3
4	KME101T	Fundamentals of Mechanical Engineering & Mechatronics	50	100	150	3
5	KMC102	Emerging Technology for Engineering	25	25	50	2
6	KNC101T	Soft Skill I	25	25	–	–
7	KAS152P	Engineering Chemistry Lab	25	25	50	1
8	KEC151P	Electronics Engineering Lab	25	25	50	1
9	KAS154P	English Language Lab	25	25	50	1
10	KWS151P	Mechanical Workshop Lab	50	50	100	1
					900	20

Semester 3

Sr. No	Course Code	Course Title	Internal Marks	External Marks	Total Marks	Credits
1	KCS301	Data Structure	50	100	150	4
2	KCS302	Computer Organization and Architecture	50	100	150	4
3	KCS303	Discrete Structures & Theory of Logic	50	100	150	4
4	KNC301/ KNC302	Computer System Security / Python Programming	50	100	150	3
5	KOE034	Sensor & Instrumentation	50	100	150	3
6	KAS301	Technical Communication	50	100	150	3
7	KCS351	Data Structures Using C Lab	25	25	50	1
8	KCS352	Computer Organization Lab	25	25	50	1
9	KCS353	Discrete Structure & Logic Lab	25	25	50	1
10	KCS354	Mini Project or Internship	50	–	50	1
					950	22

Semester 4

Sr. No	Course Code	Course Title	Internal Marks	External Marks	Total Marks	Credits
1	KCS401	Operating Systems	50	100	150	3
2	KCS402	Theory of Automata and Formal Language	50	100	150	4
3	KCS403	Microprocessor	50	100	150	4
4	KCS451	Operating Systems Lab	25	25	50	1
5	KCS452	Microprocessor Lab	25	25	50	1
6	KCS453	Python Language Programming Lab	25	25	50	1
7	KNC402/ KNC401	Python Programming / Computer System Security	25	50	–	–
8	KOE041-48	Engg. Science Course	50	100	150	4
9	KVE401/ KAS301	Universal Human Values / Technical Communication	50	100	150	3
					900	21

Semester 5

Sr. No	Course Code	Course Title	Internal Marks	External Marks	Total Marks	Credits
1	KCS501	Database Management System	50	100	150	4
2	KCS502	Compiler Design	50	100	150	4
3	KCS503	Design and Analysis of Algorithm	50	100	150	4
4	KCS054	Object Oriented System Design	50	100	150	3
5	KCS056	Application of Soft Computing	50	100	150	3
6	KCS551	Database Management System Lab	25	25	50	1
7	KCS552	Compiler Design Lab	25	25	50	1
8	KCS553	Design and Analysis of Algorithm Lab	25	25	50	1
9	KCS554	Mini Project or Internship Assessment	–	50	50	1
10	KNC501/ KNC502	Constitution of India, Law and Engineering / Indian Tradition, Culture and Society	25	50	–	–
					950	22

Semester 6

Sr. No	Course Code	Course Title	Internal Marks	External Marks	Total Marks	Credits
1	KCS601	Software Engineering	50	100	150	4
2	KCS602	Web Technology	50	100	150	4
3	KCS603	Computer Networks	50	100	150	4
4	KCS064	Data Compression	50	100	150	3
5	KOE068	Software Project Management	50	100	150	3
6	KCS651	Big Data and Analytics Lab	25	25	50	1
7	KCS652	Web Technology Lab	25	25	50	1
8	KCS653	Computer Networks Lab	25	25	50	1
9	KNC601/ KNC602	Constitution of India, Law and Engineering / Indian Tradition, Culture and Society	25	50	–	–
					900	21

Semester 7

Sr. No	Course Code	Course Title	Internal Marks	External Marks	Total Marks	Credits
1	KHU701	Rural Development: Administration And Planning	50	100	150	3
2	KCS071	Artificial Intelligence	50	100	150	3
3	KCS713	Cloud Computing	50	100	150	3
4	KCS751A	Artificial Intelligence Lab	25	25	50	1
5	KCS752	Mini Project or Internship Assessment*	–	50	50	1
6	KCS753	Project	–	150	150	4
					850	18

Semester 8

Sr. No	Course Code	Course Title	Internal Marks	External Marks	Total Marks	Credits
1	KHU802	Project Management & Entrepreneurship	50	100	150	3
2	KOE084	Introduction To Smart Grid	50	100	150	3
3	KOE093	Data Warehousing & Data Mining	50	100	150	3
4	KCS851	Project 1	100	300	400	9
					850	18

Admission Eligibility

Passed 10+2 examination with Physics, Chemistry, Maths as the three subjects.

AND

Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.

Passed min. 3 years Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted.

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Fee Structure

Fee structure

Scholarship

Particulars	Year 1	Year 2	Year 3	Year 4
Tuition Fee	90,000	93,000	96,000	99,000
Examination Fee	7,500	7,500	7,500	7,500
Training and Placement charges	1,000	1,000	1,000	1,000
Uniform Charges	7,000	–	–	–
University Enrollment Charges	1,000	–	–	–
Total	1,06,500	1,01,500	1,04,500	1,07,500

Important Note:

The University Fee (as applicable) is not part of the Institute Fee structure and is directly payable by the student. Furthermore, if there is any increase in the University Fee, as mentioned above, the same has to be paid by the student.

Particulars	More than 90.00 %	80.00 % – 89.99 %	70.00 % – 79.99 %	60.00 % – 69.99 %
Scholarship Amount	35,000	25,000	15,000	5,000

Important Note:

The Marks % will be calculated on the basis of results of Students in any of the National Examinations such as XII Boards, JEE, NATA, UPCET etc. and the best result will be considered for scholarship disbursement to the student.
In case of consideration of class XII Boards for scholarship amount calculation, best of Top 5 subjects will be considered.
The scholarship facility provided to student at the time of admission will be applicable on all years, as applicable for a program.
The scholarship facility will be adjusted in the student’s fee structure only at the end, after the payment of balance fee.

What
Students say

The entire faculty and department leaves no stone unturned to shape one’s future. The college not only helps student to excel in academics but also encourages them for extracurricular activities. SEG provides spectrum of opportunities for the students for their overall development and grooming their personality.
Deeksha
Student
I can say that SEG has made me a better person. It has helped me developed a positive attitude towards my studies and discover more about myself. From knowledgeable faculties to laying as much importance to the extra-curricular activities and language development.
Navya Agarwal
Student
Life in Sanskar has been a fantastic experience. As a hosteller, I would say it is actually a “Home away from Home”. I will always cherish the memories created at this place. It gives me great pleasure to say with pride that I am a part of Sanskar Family. This year spent here have been splendid so far…
Stuti
Student
As a student, I can say that Sanskar College of Engineering & Technology is the best college to be at! The staff and teachers are very passionate and show their genuine desire to help students to achieve their goals. The college has great modern facilities which promotes great learning environment and flexible schedules that suit to meet the needs of a student like me.
Mehboob Ali Ansari
Student

courses

B.Tech – CS (Artificial Intelligence & Machine Learning) (CS-AI&ML)

Dr. Dharmendra Singh

Placement Opportunities

210+

7.00

3.30

180+

Notable Alumni

Aman Bhardwaj

Mohit

Akansha Kansal

Renu Rani

Gaurav Mehra

Anjali Choudhary

Abdul Rahman

Priya Som