
Sharda University
Private|Estd. 2009|NIRF #101 (Engineering) 2025|NAAC Grade A+

The M.Tech. in CSE – Data Science program at Sharda University is designed to bridge the gap between advanced technology and data-driven decision-making. This program covers a wide range of topics, from data mining and data analysis to big data technologies and machine learning techniques, giving students a comprehensive knowledge base to become proficient data scientists.
The annual fee for the M.Tech. in CSE – Data Science program at Sharda University varies slightly depending on the specific batch, but it generally falls within the following range:
| Fee Type | Amount (INR) |
|---|---|
| Tuition Fee | 1,00,000 – 1,05,000 |
| Other Fees (Library, Laboratory, etc.) | 13,000 – 15,000 |
| Total Annual Fee | 1,13,000 – 1,16,390 |
The fee includes tuition, examination, library, laboratory, and other academic-related charges. The fee structure is designed to be competitive while ensuring high-quality education and infrastructure.
To be eligible for admission into the M.Tech. in CSE – Data Science program, candidates must meet the following criteria:
| Eligibility Criteria | Details |
|---|---|
| Academic Qualifications | B.Tech. in Computer Science, IT, Electronics & Communication, Electronics & Instrumentation, or Electrical & Electronics with a minimum of 60% marks. |
| Alternative Qualifications | MCA/M.Sc. in Computer Science or M.Sc. in Mathematics with a minimum of 60% marks. |
| Preferred Candidates | GATE/NET qualified students will be given preference during the selection process. |
Candidates who meet the above eligibility requirements will be considered for admission to the program, which aims to provide them with the necessary expertise to excel in the growing field of data science.
The curriculum of the M.Tech. in CSE – Data Science at Sharda University is carefully structured to provide students with the necessary academic foundation, practical skills, and industry exposure. Below is an overview of the key subjects and modules included in the course:
| Semester | Subject Name |
|---|---|
| Semester 1 | - Advanced Data Structures and Algorithms - Probability and Statistics - Data Science Fundamentals - Computer Networks |
| Semester 2 | - Machine Learning - Data Mining and Big Data Analytics - Software Engineering - Database Management Systems - Research Methodology |
| Semester | Subject Name |
|---|---|
| Semester 3 | - Deep Learning - Artificial Intelligence and Data Science - Big Data Technologies (Hadoop, Spark, etc.) - Cloud Computing |
| Semester 4 | - Data Visualization and Business Intelligence - Advanced Machine Learning - Internet of Things (IoT) - Industry Project/Dissertation |
The program is divided into four semesters over the span of two years. The first year focuses on building a strong foundation in the essential concepts of data science, machine learning, algorithms, and database management. The second year takes students deeper into specialized topics such as artificial intelligence, deep learning, and big data technologies, allowing them to focus on practical applications of the concepts learned.
Sharda University is well-known for its excellent academic reputation, experienced faculty, and state-of-the-art infrastructure. By choosing Sharda University for your M.Tech. in CSE – Data Science, you gain access to:
Sharda University’s M.Tech. in CSE – Data Science program is designed for students who are eager to make an impact in the rapidly expanding field of data science. With an industry-oriented curriculum, hands-on learning experiences, and strong placement support, this program offers an excellent opportunity for aspiring data scientists to advance their careers.

Greater Noida, Uttar Pradesh

Greater Noida, Uttar Pradesh
Greater Noida, Uttar Pradesh
Greater Noida, Uttar Pradesh

Greater Noida, Uttar Pradesh