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 (Data Science) – SAITM Gurgaon

About the Course

The Bachelor of Technology in Computer Science & Engineering with specialization in Data Science at St. Andrews Institute of Technology & Management (SAITM), Gurugram is a four-year undergraduate engineering program. The course is designed to build a strong foundation in computer science while integrating advanced concepts of data science, analytics, and artificial intelligence.

The program focuses on developing problem-solving skills, programming expertise, and data-driven thinking. Students gain both theoretical understanding and practical exposure through laboratories, projects, and real-world applications. The course prepares graduates for modern technology roles where data analysis, intelligent systems, and computing play a critical role.


Course Overview

ParticularDetails
Institute NameSt. Andrews Institute of Technology & Management, Gurugram
Course NameB.Tech in Computer Science & Engineering (Data Science)
LevelUndergraduate
Duration4 Years
Academic Structure8 Semesters
Mode of StudyFull Time Regular
University AffiliationMaharshi Dayanand University (MDU), Rohtak
ApprovalAICTE Approved

Eligibility, Selection Process and Fee Structure

CategoryDetails
Eligibility10+2 passed with Physics, Chemistry and Mathematics
Minimum MarksMinimum 45 percent aggregate
Entrance ExamJEE Main accepted (not mandatory)
Selection ProcessMerit based as per university and institute norms
Tuition Fee Per Year1,05,000 INR
Total Tuition FeeApprox. 4,20,000 to 4,80,000 INR
Hostel and MessSeparate charges as per institute policy
Other ChargesRegistration and examination fees applicable

Curriculum

The curriculum is meticulously designed to offer a balanced mix of theoretical knowledge and practical experience.

Core Curriculum Subjects
Introduction to Computer Science – fundamentals of computing, programming and algorithm design
Data Structures and Algorithms – data organization, manipulation and efficient solutions
Database Management Systems – database design, management and SQL
Machine Learning – techniques and applications of machine learning algorithms
Big Data Technologies – tools and frameworks for handling large datasets
Data Visualization – methods and tools to visualize data and derive insights
Artificial Intelligence – principles of AI and their applications in data science

Career Scope After B.Tech CSE (Data Science)

Graduates of this program can explore career opportunities across IT, analytics, and data-driven industries.

Career Opportunities
Data Scientist
Data Analyst
Machine Learning Engineer
Software Developer
Business Intelligence Analyst
AI Engineer
Database Administrator
Research Associate
Higher Studies – M.Tech, MBA, Data Science specialization

Admission Process

StepProcess
1Apply for admission online or offline at SAITM
2Choose B.Tech CSE (Data Science) program
3Verify eligibility criteria
4Submit academic documents
5Merit based evaluation
6Pay registration and admission fee
7Admission confirmation
8Reporting to campus and commencement of classes

Placement and Training Support

SAITM has a dedicated Placement and Training Cell that supports students of all engineering programs including CSE (Data Science). The cell focuses on improving employability through technical training, soft skills development, internships, and placement drives.

Placement Support
Dedicated placement and training cell
Technical and aptitude training
Internship assistance
Resume building and interview preparation
On-campus and off-campus placement drives
Industry interaction and workshops

Summary

The B.Tech in Computer Science & Engineering (Data Science) at SAITM Gurgaon offers a strong combination of computer science fundamentals and data science specialization. With industry-relevant curriculum, practical exposure, and structured placement support, the program is suitable for students aiming to build careers in software development, analytics, artificial intelligence, and data-driven technologies.

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