OVERVIEW
The department of Computer Science and Engineering (Data Science) at Sri Venkateshwara College of Engineering, Tirupati was formed in the year 2020 and provides an outstanding research environment complemented by excellence in teaching. The department offers B.Tech. The Department has a comprehensive curriculum on topics related to all aspects of Computer Hardware and Software with an emphasis on practical learning. The course structure is up-to-date and includes courses on nascent topics to equip our students with the latest developments in Computer Science and Engineering (Data Science). The department of Computer Science & Engineering (Data Science) was started in the year 2020 with an annual intake of 60 students. The intake of students from the year 2022 is 120.The world of Computer Science is constantly evolving. With the emergence of new technologies in Computer Science, the possibilities for innovation and development in the tech world are endless. We offer comprehensive programs in Data Science, emphasizing the fusion of statistical analysis, machine learning, and domain expertise. Students learn to manipulate, analyse, and visualize data to extract meaningful patterns and trends. We will explore the latest technologies in Computer Science and how they are changing the world of technology. We will discuss the different types of Data Science in Computer Science, their applications, and the future of these technologies. The department is committed to build ethical and competent professionals with the support of highly qualified faculty, innovative novel curricula, and state of the art infrastructure. The curriculum includes courses on the latest technologies like Data Scientist, Machine Learning, Image Processing, Internet of Things, Natural Language Processing, and Robotic Process Automation, to name a few. Apart from the curriculum, a value-added course, CISCO, is also offered to meet the contemporary market demands. The Department is conducting the workshops and certifications under Microsoft and IBM. Various activities are conducted in collaboration with professional bodies like CSI, ISTE along with student branches of IEEE and CSI. The programs offered by the department enable students to be recruited by distinguished multinational companies namely Amazon, Cisco, Infosys, Wipro, IBM, Accenture, CTS, Capgemini, TCS & Misplaced Minds that offer students training programmes, internships and placements. The department has received a grant from AICTE under MODROBS and established DELL Server to carry out mini projects, major projects and research works. Seminars, workshops, theme-based projects and hackathons are conducted regularly to keep the students abreast in latest developments in Computer Science & Engineering. Furthermore, the department has been recognized as a research centre by the University of JNTUA. and two professors have been recognized as research supervisors.
Vision
- The Department of Computer Science and Engineering (Data Science) aspires to be a forefront leader in data-driven innovation and research. We envision producing skilled professionals who excel in leveraging advanced data analysis, artificial intelligence, and machine learning techniques to address real-world challenges.
Mission
- To develop industry conducive environment by providing state-of-art infrastructure to compete in data-driven world.
- To provide high-quality, value-driven education and contribute to the advancement of computing and Data Science, facilitating the transformation of data into actionable information that enhances decision-making processes.
- To produce ethical engineers and researchers by inculcate the values of humanity and courage in producing relevant solutions to address business and societal challenges.
OUR PROGRAMS
B-Tech In CSE-Data Science
Computer Science Department
UG PROGRAM
4 YEARS
PROGRAM DETAILS
LABORATORIES AND FACILITIES
STUDENT CLUBS AND ACTIVITIES
The CSE (Data Science) Department encourages students to participate in various clubs and activities that promote learning and innovation:
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DATA NUXES Club<: Organizes workshops, seminars, and Hackathon on the latest Data Science trends.
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Data Science Club: Provides hands-on training on data analytics, data visualization, and predictive modeling.
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Google Developer Student Club: Provides Workshops, Seminars and Courses and placements
HEAD OF DEPARTMENT
Dr. SURESH RAMAYANAM
M.Tech., Ph.D.
INFRASTRUCTURE
The Department of CSE (DATA SCIENCE) is equipped with state-of-the-art facilities that support academic excellence and holistic development. Key infrastructure highlights include:
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Spacious Classrooms:
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Well-furnished, air-conditioned classrooms with modern teaching aids such as LCD projectors and smart boards to ensure an interactive learning environment.
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Seminar Hall:
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A fully equipped seminar hall with high-quality audio-visual systems, accommodating up to 150 participants for guest lectures, seminars, and conferences.
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Computer Lab:
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A dedicated computer lab with high-speed internet, advanced software, and simulation tools catering to data analysis, business modeling, and decision-making exercises.
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Library and Learning Resource Center:
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A rich collection of management books, journals, and e-resources (including access to databases like EBSCO, ProQuest, and JSTOR) to foster research and learning.
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Case Study and Group Discussion Rooms:
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Specially designed rooms for group discussions, case study analysis, and brainstorming sessions to encourage collaborative learning.
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Wi-Fi Campus:
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High-speed Wi-Fi connectivity across the campus for seamless access to digital learning platforms.
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Innovation and Incubation Center:
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A dedicated space to promote entrepreneurship and innovation, providing mentoring and resources for student-led startups and business ideas.
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Student Activity Zones:
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Common areas for extracurricular activities, clubs, and professional networking events to foster peer interaction and leadership development.
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Cafeteria and Recreational Facilities:
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A modern cafeteria offering hygienic and nutritious food, along with recreational spaces for relaxation and informal discussions.
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Industry-Institute Collaboration Facilities:
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A dedicated placement and training center for organizing workshops, recruitment drives, and corporate engagement programs.
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Problem Solving using C Lab
IT Workshop
Data Structures Lab
Object Oriented Programming Through Java Lab
Database Management Systems Lab
Design and Analysis of Algorithms Lab
Python Programming Lab
Operating Systems Lab
Computer Networks Lab
Web Technologies Lab
DEPARTMENT R&D
PLACEMENT
Our dedicated placement cell works tirelessly to connect you with exciting job opportunities, internships, and industry interactions. Explore this section to learn more about our placement process, achievements, and how we equip you with the skills and confidence to thrive in the competitive job market
15
Recruiters
151
Offers
8.4 LPA
Highest Package
4 LPA
Average CTC
PUBLICATIONS
| S.No | Publication | Year | Department |
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| 1 | Dr. Keerthipati Kumar has published a research paper titled “DNA TRIKKY-Based Security Mechanism for Radio Frequency Identification” in the prestigious IETE Journal of Research (Taylor & Francis Group), an SCIE-indexed journal in April 2024. The paper presents a novel security mechanism leveraging DNA-based techniques to enhance the security of Radio Frequency Identification systems. | 2024 | CSE (Data Science) |
| 2 | Dr. Keerthipati Kumar has published a paper titled “Natural Language Processing: Bridging the Gap between Human Language and Machine Understanding” in the prestigious IEEE International Journal. The paper presents the insights of Natural Language Processing, Human Language, and Machine Understanding. | 2024 | CSE (Data Science) |
PATENTS
| S.No | ACY Year | Department | Patent Application Number | Status of Patent | Inventor/s Name | Title of the Patent | Applicant/s Name | Patent Filed Date (DD/MM/YYYY) | Patent Published Date / Granted Date (DD/MM/YYYY) | Patent Publication Number / Granted No. |
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| 1 | 2023-2024 | CSE (Data Science) | 388241-001 | Published & Granted | Dr R Suresh | IoT-based face mask detection | SVCE | 13/06/2023 | 12/10/2023 | 388241-001 |
| 2 | 2023-2024 | CSE (Data Science) | 202341063596 A | Published | Dr R Suresh | Implementation of interpretable machine learning models for improving bug assignment and developer allocation in software engineering | SVCE | 31/07/2023 | 01/09/2023 | 202341045468 A |
| 3 | 2023-2024 | CSE (Data Science) | 202441057974 | Published | Dr R Suresh | Deep neural network-based AI model for accurate lung cancer detection and classification | SVCE | 21/05/2024 | 31/05/2024 | 202441057974 |
| 4 | 2023-2024 | CSE (Data Science) | 202441039570 | Published | Dr. K. Kumar | Artificial intelligence-based multimodal image reconstruction system | SVCE | 24/01/2024 | 22/03/2024 | 202441039570 |
| 5 | 2023-2024 | CSE (Data Science) | 202441045607 | Published | Dr. K. Kumar | Machine learning-based methodology for database migration in cloud computing environment | SVCE | 13/06/2024 | 21/06/2024 | 202441045607 |
INDUSTRY COLLABORATIONS
| S.No | Name of the Organization | Date of MOU Signed | Validity | Purpose |
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| 1 | BrightGeeks | 21-12-2021 | 01-12-2027 | Skill-based training, education, industry visits, placements, certificate courses, recruitment, internships, certifications, and admission examinations. |
| 2 | Excel R | 10-10-2023 | 10-10-2025 | Prepare students for emerging challenges in the AI & ML domain by providing internships, hands-on projects, and placements tailored to AI & ML roles, online workshops, student development programs, guest lectures, skill development events, and software technologies training. |
RECRUITERS
| S.No | Companies Visited Recently |
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| 1 | Tata Consultancy Services (TCS) |
| 2 | Infosys |
| 3 | Wipro |
| 4 | Cognizant Technology Solutions (CTS) |
| 5 | Tech Mahindra |
| 6 | Accenture |
| 7 | Capgemini |
| 8 | Mindtree |
| 9 | IBM |
| 10 | HCL Technologies |
| 11 | Amazon |
| 12 | Microsoft |
| 13 | ZOHO |
| 14 | Deloitte |
DEPARTMENT ACTIVITIES
DEPARTMENT RESOURCES
Explore our collection of study resources, academic guides, and industry insights to enhance your learning experience and stay updated with the latest trends in the field of Computer Science and Engineering. Dive in and make the most of the resources available to help you excel in your academic journey.
