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

College Code Student Intake Duration
215 60 4 years

Sanskar College of Engineering & Technology

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.

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.

Read More →

Placement Opportunities

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.

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

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.

OR

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.

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