St. Andrews Institute of Technology & Management (SAITM) Gurgaon

St. Andrews Institute of Technology & Management (SAITM) Gurgaon

Gurgaon , Haryana
|
4.4 Ratings
|
Private|Estd. 2007

Written By Aliya Khan

Updated on – 20 Dec, 2025

B.Tech in Computer Science & Engineering (Artificial Intelligence and Machine Learning) – SAITM Gurgaon

About the Course

The Bachelor of Technology in Computer Science & Engineering with specialization in Artificial Intelligence and Machine Learning (AI & ML) at St. Andrews Institute of Technology & Management (SAITM), Gurugram is a four-year full-time undergraduate engineering program. The course blends core computer science fundamentals with cutting-edge concepts in artificial intelligence, machine learning, data analytics, and intelligent computing systems.

Students in this program gain strong theoretical foundations in computing along with hands-on practice in building intelligent systems, data modeling, predictive analytics, and automation frameworks. The curriculum includes programming skills, algorithm design, AI principles, deep learning techniques, neural networks, and real-world project implementations. Graduates are prepared for careers in areas such as AI development, machine learning engineering, data science, robotics, and advanced IT roles.


Course Overview

ParticularDetails
Institute NameSt. Andrews Institute of Technology & Management, Gurugram
Program NameB.Tech in Computer Science & Engineering (AI & ML)
LevelUndergraduate (UG)
Duration4 Years
Academic Structure8 Semesters
Mode of StudyFull Time Regular On Campus
AffiliationMaharshi Dayanand University, Rohtak
ApprovalAICTE-Approved

Eligibility, Selection Process and Fee Structure

CategoryDetails
EligibilityPassed 10+2 with Physics, Chemistry and Mathematics
Minimum MarksMinimum 45 percent aggregate in qualifying examination
Entrance ExamJEE Main accepted (if applicable)
Selection ProcessMerit based as per SAITM / University norms
Annual Tuition FeeApprox. INR 1,05,000 per year
Total Tuition FeeApprox. INR 4,20,000 to 4,80,000
Hostel and MessCharged separately as per institute policy
Other ChargesRegistration/Exam fees as applicable

Curriculum

The curriculum for B.Tech CSE (AI & ML) is designed to provide both core computing knowledge and specialized training in artificial intelligence and machine learning concepts.

Key courses include:

  • Introduction to Computer Science – fundamentals of computing, programming, and algorithm design

  • Data Structures and Algorithms – study of data organization and efficient algorithmic techniques

  • Database Management Systems – database design, management, and SQL

  • Machine Learning – techniques and applications of machine learning algorithms

  • Deep Learning – neural networks and layered learning architectures

  • Artificial Intelligence – AI principles and applications

  • Data Analytics – foundations of analytics and data processing

  • AI Tools and Frameworks – practical tools used in AI and ML projects

(The above subjects summarize the course’s instructional intent and key learning areas.)


Career Scope After B.Tech CSE (AI & ML)

Graduates of the B.Tech in CSE with specialization in AI & ML have various opportunities in both core and emerging technology domains.

Potential Career Roles
Artificial Intelligence Engineer
Machine Learning Engineer
Data Scientist
AI Research Associate
Software Developer with AI specialization
Robotics Programmer
Data Analyst
Business Intelligence Developer
Higher Studies (M.Tech, Ph.D., MBA)

Admission Process

StepProcess
1Visit the SAITM admission portal or the admission office
2Select the B.Tech CSE (AI & ML) undergraduate program
3Verify eligibility criteria (10+2 with PCM)
4Fill the application form (online/offline)
5Upload or submit required academic documents
6Merit based evaluation as per institute & university norms
7Pay registration/admission fee
8Confirm admission and report to campus

Placement and Training Support

SAITM provides placement support to students in all engineering programs, including CSE (AI & ML), through its dedicated Placement and Training Cell. The cell focuses on preparing students for the professional environment through training, internships, and recruitment activities.

Placement Support Areas
Technical and soft skill training
Aptitude and interview preparation
Internship coordination
Industry interaction sessions
Resume building support
Campus placement drives with recruiters

Placement outcomes vary with company participation and student performance; SAITM emphasizes continuous career support rather than guaranteed packages.

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