

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
| Particular | Details |
|---|---|
| Institute Name | St. Andrews Institute of Technology & Management, Gurugram |
| Program Name | B.Tech in Computer Science & Engineering (AI & ML) |
| Level | Undergraduate (UG) |
| Duration | 4 Years |
| Academic Structure | 8 Semesters |
| Mode of Study | Full Time Regular On Campus |
| Affiliation | Maharshi Dayanand University, Rohtak |
| Approval | AICTE-Approved |
Eligibility, Selection Process and Fee Structure
| Category | Details |
|---|---|
| Eligibility | Passed 10+2 with Physics, Chemistry and Mathematics |
| Minimum Marks | Minimum 45 percent aggregate in qualifying examination |
| Entrance Exam | JEE Main accepted (if applicable) |
| Selection Process | Merit based as per SAITM / University norms |
| Annual Tuition Fee | Approx. INR 1,05,000 per year |
| Total Tuition Fee | Approx. INR 4,20,000 to 4,80,000 |
| Hostel and Mess | Charged separately as per institute policy |
| Other Charges | Registration/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
| Step | Process |
|---|---|
| 1 | Visit the SAITM admission portal or the admission office |
| 2 | Select the B.Tech CSE (AI & ML) undergraduate program |
| 3 | Verify eligibility criteria (10+2 with PCM) |
| 4 | Fill the application form (online/offline) |
| 5 | Upload or submit required academic documents |
| 6 | Merit based evaluation as per institute & university norms |
| 7 | Pay registration/admission fee |
| 8 | Confirm 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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