Sharda University

B.Tech in CSE (Data Science & Analytics) at Sharda University

The B.Tech in Computer Science Engineering (CSE) with a specialization in Data Science & Analytics, in collaboration with Oracle, is a highly specialized undergraduate program designed to prepare students for a future in the rapidly evolving field of data science. This 4-year course combines the core principles of computer science with the advanced concepts of data analysis, machine learning, and artificial intelligence, providing students with an opportunity to gain in-depth knowledge and practical experience.

The association with Oracle, a leading multinational technology corporation, adds significant value to the program by providing students with access to cutting-edge tools, technologies, and resources in data science and analytics. The course focuses on both theoretical and practical applications of data science, enabling students to apply their knowledge in real-world scenarios, and offers ample opportunities for internships, projects, and industry interactions.

B.Tech CSE (Data Science & Analytics) Course Highlights

B.Tech in CSE (Data Science & Analytics) Fee Structure

Here is a table displaying the annual fee breakdown:

Eligibility Criteria for B.Tech in CSE (Data Science & Analytics)

To be eligible for admission to the B.Tech in CSE - Data Science & Analytics program at Sharda University, candidates must meet the following requirements:

1. Academic Requirements:

   • Matriculation (10th) with a minimum of 60% marks.
   • Senior Secondary (12th) with a minimum of 60% marks (aggregate) in Physics, Chemistry, and Mathematics (PCM) or Physics, Chemistry, and Biology (PCB).
   • Candidates must have completed their 12th grade without any gap between 10th and 12th.

2. Entrance Exam:

   • Candidates must appear for the Sharda University Admission Test (SUAT), followed by a Personal Interview.
   • Alternatively, candidates who have appeared for JEE-Mains and have an All India Rank (AIR) up to 3 lakh are eligible for direct admission.

3. Bridge Course Option:

   • A bridge course is available for students from a PCB (Non-Biotech) background who wish to pursue a non-biotech branch such as Data Science & Analytics. This course helps bridge the knowledge gap and prepares students for the technical requirements of the B.Tech program.

B.Tech in CSE (Data Science & Analytics) Outline

The B.Tech in CSE - Data Science & Analytics program is spread over eight semesters and includes a mix of core subjects, elective subjects, project work, and internships. The curriculum is designed to ensure that students gain deep knowledge in both computer science fundamentals and data science, along with essential hands-on experience.

First Year: Foundation of Computer Science and Mathematics

In the first year, students are introduced to the fundamentals of computer science, mathematics, and engineering concepts. The emphasis is on building a strong base that is critical for understanding complex data science topics in subsequent years.

Second Year: Core Data Science Subjects

In the second year, students begin focusing on data science and analytics. Topics such as programming languages, databases, and basic machine learning algorithms are introduced.

Third Year: Advanced Data Science and AI Techniques

In the third year, the course curriculum introduces more advanced topics in data science, machine learning, deep learning, and big data analytics. Students also start gaining hands-on experience through workshops and internships.

Final Year: Industry-Specific Applications and Project Work

The final year of the program is designed to provide students with the opportunity to apply the knowledge they have gained throughout the course. Students will work on a final year project and may also participate in internships with industry leaders like Oracle.

Career Opportunities in Data Science & Analytics

Graduates of the B.Tech in CSE - Data Science & Analytics program will be well-prepared for careers in various domains, including:

• Data Scientist
• Data Analyst
• Machine Learning Engineer
• AI Specialist
• Business Intelligence Analyst
• Big Data Engineer
• Cloud Computing Specialist
• Software Engineer in Data Science

The program equips students with the skills necessary to work across multiple industries, including finance, healthcare, e-commerce, technology, and more.