Computer Science and Engineering (Data Science)
“Transforming Data into Decisions”
Established in 2020, our Data Science program combines computer science, mathematics, and statistics to prepare students for careers in data analysis, engineering, and science through cutting-edge curriculum and hands-on projects.
About the Department
The Department of Data Science was established in 2020 with an initial intake of 60 students, offering a unique blend of computer science, mathematics, and statistics. Our experienced faculty members possess domain expertise and global certifications in cutting-edge technologies, supported by modern infrastructure that enables students to work on diverse Data Science use cases.
We emphasize active learning strategies through project-based learning, internships with domain-specific organizations, and funding for innovative projects. Students are encouraged to develop technology solutions for community problems, aligning with our vision of socially responsible data science.
The Role of a Data Science Engineer
Data Science is one of the most sought-after fields today, processing voluminous data to gain insights for strategic decisions. Our graduates are prepared for emerging roles like Data Analyst, Data Engineer, and Data Scientist across industries including healthcare, logistics, business intelligence, and more.
Key Focus Areas:
- Predictive Analytics
- Machine Learning
- Big Data Processing
- Statistical Modeling
- Data Visualization
- Business Intelligence
- Natural Language Processing
- Cloud Computing
Teaching Staff
| SNo | Faculty Name | Qualification | Designation | |
|---|---|---|---|---|
| 1 | Dr. K. MURALI BABU | Ph.D | PROF | muralibabu.cseds@abrcet.edu.in |
| 2 | K. SIVA RAMAKRISHNA | M.Tech | ASST PROF | ksivaram.cseds@abrcet.edu.in |
| 3 | K.RAMYA | M.Tech | ASST PROF | kramya.cseds@abrcet.edu.in |
| 4 | Y.SREEKANTH | M.Tech | ASST PROF | ysreekanth@abrcet.edu.in |
| 5 | K.PADMAJA | M.Tech | ASST PROF | padmaja.cseds@abrcet.edu.in |
| 6 | M.VASANTHA LAKSHMI | M.Tech | ASST PROF | mvasantha.cseds@abrcet.edu.in |
| 7 | P.SURESH | M.Tech | ASST PROF | psuresh@abrcet.edu.in |
| 8 | D. V SUBBARAO | M.Tech | ASST PROF | dvsrao.cseds@abrcet.edu.in |
| 9 | SK.ARIFSULTAN | M.Tech | ASST PROF | shaikarif.cseds@abrcet.edu.in |
| 10 | D.BALAKOTAIAH | M.Tech | ASST PROF | dbkotaiah.cseds@abrcet.edu.in |
Non-Teaching Staff
| SNo | Staff Name | Qualification | Designation |
|---|---|---|---|
| 1 | V.manikanta | B.Tech | Lab Programmer |
| 2 | C. Srinivasa Rao | B.Tech | Lab Programmer |
Vision & Mission
Vision
To be a centre of expertise in computer science and engineering (Data Science) and develop nifty professionals as data analytic and researchers, serving students in an atmosphere of innovation and critical thinking.
Mission
- To endow students with innovative and cognitive skills in the field of data science.
- Stimulating students to solve societal problems through Data Analytic techniques and to appraise their knowledge in the field of Data Science.
- Enhance employability and entrepreneurial abilities in the domain of DS through realistic and self-driven learning.
- To encourage dynamic research ability through project based learning.
Programme Educational Outcomes (PEOs)
| PEO1 | Professional Excellence: Students will establish themselves as effective professionals by solving real problems through the use of computer science knowledge and with attention to team work, effective communication, critical thinking and problem solving skills. |
|---|---|
| PEO2 | Career Preparation: Students will develop professional skills that prepare them for immediate employment and for life-long learning in advanced areas of computer science and related fields. |
| PEO3 | Adaptability: Students will demonstrate their ability to adapt to a rapidly changing environment by having learned and applied new skills and new technologies. |
| PEO4 | Leadership Development: Students will be provided with an educational foundation that prepares them for excellence, leadership roles along diverse career paths with encouragement to professional ethics and active participation needed for a successful career. |
Programme Outcomes (POs)
| PO1 | Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
|---|---|
| PO2 | Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
| PO3 | Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations. |
| PO4 | Conduct Investigations: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. |
| PO5 | Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations. |
| PO6 | The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice. |
| PO7 | Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. |
| PO8 | Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
| PO9 | Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
| PO10 | Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. |
| PO11 | Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. |
| PO12 | Life-Long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. |
Programme Specific Outcomes (PSOs)
| PSO1 | Build skills to develop software applications in specialized areas of Computer Science and Engineering such as Artificial Intelligence, Machine Learning, Data Science, Web Development, Gaming, Augmented Reality / Virtual Reality (AR/VR). |
|---|---|
| PSO2 | Focus on exploring supervised, unsupervised and reinforcement learning and apply them to a range of AI problems. |
| PSO3 | Make use of AI techniques for industrial applications in the areas of Autonomous Systems, IOT, Cloud Computing, Robotics, Natural Language Processing and emerging areas. |
Laboratories
- 1. Programming for Problem Solving using C Lab
- 2. Computer Engineering Workshop LAB
- 3. Python Programming Lab
- 4. Data Structures Lab
- 5. Object Oriented Programming through C++ Lab
- 6. Operating Systems Lab
- 7. Software Engineering Lab
- 8. Web Application Development Using Full Stack – Frontend Development – Module-I
- 9. Database Management Systems Lab
- 10. R Programming Lab
- 11. Java Programming Lab
- 12. Web Application Development Using Full Stack – Frontend Development – Module-II
- 13. COMPUTER NETWORKS LAB
- 14. DATA WAREHOUSING AND DATA MINING LAB
- 15. Continuous Integration and Continuous Delivery using DevOps LAB
- 16. MACHINE LEARNING LAB
- 17. COMPILER DESIGN LAB
- 18. FUNDAMENTAL OF DATA SCIENCE LAB
- 19. INTRODUCTION TO ARTIFICIAL INTELLIGENCE LAB
- 20. ADVANCE DATA STRUCTURES LAB
- 21. OPERATING SYSTEMS & COMPILER DESIGN LAB
- 22. BIG DATA ANALYSIS LAB
- 23. MEAN STACK LAB
KUNCHAM RAMYA
Head of Department
Assistant Professor
Professional Highlights
- Specialization: Data Science
- Experience: 8+ Years
- Research Areas: Big Data Analytics
- Industry Collabs: 6+ Projects
- ABRCET Tenure: Since 2020
Head of Department Message
Kancham Ramya
Assistant Professor & HOD
The Department of Data Science, started in 2020, builds on our institution’s two decades of experience in quality engineering education. Data Science has been identified by AICTE and Govt. of India as one of nine critical emerging areas.
The explosion of data from smartphones, social media, and online applications has created an unprecedented need for professionals who can store, process, and analyze this heterogeneous data. Our program uniquely blends statistics with computer science engineering to meet this demand.
With an acute shortage of skilled Data Science professionals, our graduates enjoy unlimited opportunities. As department head, I lead a team of certified faculty members committed to ensuring professional career success for all our Data Science students.
We provide a rigorous curriculum emphasizing practical skills through hands-on projects, industry collaborations, and research opportunities that prepare students to extract meaningful insights from complex datasets.
