

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
| Particular | Details |
|---|---|
| Institute Name | St. Andrews Institute of Technology & Management, Gurugram |
| Course Name | B.Tech in Computer Science & Engineering (Data Science) |
| Level | Undergraduate |
| Duration | 4 Years |
| Academic Structure | 8 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 | 10+2 passed with Physics, Chemistry and Mathematics |
| Minimum Marks | Minimum 45 percent aggregate |
| Entrance Exam | JEE Main accepted (not mandatory) |
| Selection Process | Merit based as per university and institute norms |
| Tuition Fee Per Year | 1,05,000 INR |
| Total Tuition Fee | Approx. 4,20,000 to 4,80,000 INR |
| Hostel and Mess | Separate charges as per institute policy |
| Other Charges | Registration 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
| Step | Process |
|---|---|
| 1 | Apply for admission online or offline at SAITM |
| 2 | Choose B.Tech CSE (Data Science) program |
| 3 | Verify eligibility criteria |
| 4 | Submit academic documents |
| 5 | Merit based evaluation |
| 6 | Pay registration and admission fee |
| 7 | Admission confirmation |
| 8 | Reporting 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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