Department Profile

The Department of Computer Science and Engineering (Data Science) at Sri Venkateswara College of Engineering and Technology offers an undergraduate program in CSE(DS). The department provides a B.Tech CSE program to assist students in becoming skilled professionals who can use statistical and analytical methods to extract business values from data.

The B.Tech in Computer Science & Engineering (Data Science) is to employ machine learning techniques to master CSE in the field of data science. The department is headed by Dr. M. Lavanya, who has extensive experience in teaching and research. Her area of expertise includes Data Mining, Web Mining, Machine Learning and Data Analytics.

The Department of Computer Science and Engineering (Data Science) is committed to providing a rigorous and challenging academic environment that fosters critical thinking, problem-solving, and innovation. The department actively engages in research and development activities, collaborating with industry and academia to advance the field of data science. The department aims to produce graduates who are not only technically proficient but also possess strong ethical, communication, and teamwork skills, making them valuable assets to the data science industry.

Our Objectives

• To provide high-quality education: Equip students with a strong foundation in computer science fundamentals and advanced data science concepts.
• To foster research and innovation: Encourage faculty and students to engage in cutting-edge research in areas like machine learning, deep learning, data mining, and big data analytics.
• To develop industry-ready professionals: Prepare graduates with the skills and knowledge demanded by the modern data science industry through internships, industry collaborations, and hands-on projects.
• To promote ethical and responsible use of data: Emphasize the ethical implications of data science and equip students with the knowledge and tools to address privacy, security, and fairness concerns.
• To foster a collaborative and supportive learning environment: Create a vibrant and inclusive community that encourages student interaction, faculty mentorship, and collaborative research.
• To stay at the forefront of technological advancements: Continuously update the curriculum and research areas to reflect the latest developments in data science and artificial intelligence.

Department Strength

• ✔ Focus on Data Science Specialization
• ✔ Experienced Faculty
• ✔ Industry Collaboration
• ✔ Research Opportunities
• ✔ Modern Infrastructure
• ✔ Academic Autonomy
• ✔ Focus on Practical Applications

Courses Offered