St. Andrews Institute of Technology & Management (SAITM) Gurgaon
B.Tech in Computer Science & Engineering (Artificial Intelligence and Machine Learning) – Lateral Entry – SAITM Gurgaon
About the Course
The B.Tech in Computer Science & Engineering with specialization in Artificial Intelligence and Machine Learning (Lateral Entry) at St. Andrews Institute of Technology & Management (SAITM), Gurugram is a three-year undergraduate engineering program designed for diploma holders and eligible graduates. The program allows students to enter directly into the second year of the B.Tech course and gain advanced knowledge in artificial intelligence, machine learning, and core computer science disciplines.
The course focuses on intelligent systems, data-driven technologies, automation, and advanced computing techniques. It combines theoretical foundations with hands-on learning through laboratories, projects, and practical applications. The program prepares students for emerging technology roles in AI, ML, analytics, and software engineering, along with opportunities for higher education and research.
Course Overview
| Particular | Details |
|---|---|
| Institute Name | St. Andrews Institute of Technology & Management, Gurugram |
| Course Name | B.Tech in Computer Science & Engineering (AI & ML) – Lateral Entry |
| Level | Undergraduate |
| Duration | 3 Years |
| Entry Level | Direct Admission in 2nd Year |
| Academic Structure | 6 Semesters |
| Mode of Study | Full Time Regular |
| University Affiliation | Maharshi Dayanand University (MDU), Rohtak |
| Approval | AICTE Approved |
Eligibility, Selection Process and Fee Structure
| Category | Details |
|---|---|
| Eligibility | Diploma in Engineering or B.Sc in relevant discipline |
| Minimum Marks | As per university and institute norms |
| Entrance Exam | Not mandatory |
| Selection Process | Merit based admission |
| Tuition Fee Per Year | 1,05,000 INR |
| Total Tuition Fee | Approx. 3,15,000 INR |
| Hostel and Mess | Separate charges as per institute policy |
| Other Charges | Registration and examination fees applicable |
Course Curriculum
The curriculum for B.Tech CSE (AI & ML) – Lateral Entry is designed to provide advanced computing knowledge along with specialized training in artificial intelligence and machine learning.
| Core Curriculum Areas |
|---|
| Advanced Programming Concepts |
| Data Structures and Algorithms |
| Database Management Systems |
| Operating Systems |
| Computer Networks |
| Artificial Intelligence |
| Machine Learning |
| Deep Learning Concepts |
| Data Analytics |
| AI Tools and Frameworks |
| Laboratory Practicals and Major Project |
Career Scope After B.Tech CSE (AI & ML) – Lateral Entry
Graduates of this program can explore career opportunities in advanced technology and AI-driven domains.
| Career Opportunities |
|---|
| Artificial Intelligence Engineer |
| Machine Learning Engineer |
| Data Scientist |
| AI Developer |
| Software Engineer |
| Automation Engineer |
| Research Associate |
| Business Intelligence Analyst |
| Higher Studies – M.Tech, MBA, Research |
Admission Process
| Step | Process |
|---|---|
| 1 | Apply for admission through SAITM admission office or portal |
| 2 | Select B.Tech CSE (AI & ML) – Lateral Entry program |
| 3 | Submit diploma or B.Sc academic documents |
| 4 | Merit based evaluation |
| 5 | Document verification |
| 6 | Pay registration and admission fee |
| 7 | Admission confirmation |
| 8 | Join second year of the program |
Placement and Training Support
SAITM provides structured placement and career support to lateral entry students through its dedicated Placement and Training Cell.
| Placement Support |
|---|
| Dedicated placement and training cell |
| Advanced technical skill development |
| Internship and industry exposure |
| Resume building and interview preparation |
| On-campus and off-campus placement drives |
| Career guidance and counseling |
Summary
The B.Tech in Computer Science & Engineering with specialization in Artificial Intelligence and Machine Learning (Lateral Entry) at SAITM Gurgaon is an ideal choice for diploma holders and eligible graduates seeking to build careers in emerging technologies. With an industry-relevant curriculum, practical exposure, and strong placement support, the program enables students to succeed in AI-driven and technology-focused roles.
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