CSE (Data Science)
Department of Computer Science & Engineering • RVIT Autonomous Guntur
Data Science transforms massive streams of unstructured business data into high-value strategic intelligence, automated predictive models, and enterprise insights.
The B.Tech CSE (Data Science) program at RVIT Autonomous combines mathematical statistics, distributed cloud pipelines, predictive modeling, machine learning, and business analytics. Students master Apache Spark, Hadoop, SQL, NoSQL, Tableau, Python, and R to solve complex data challenges.
Program Vision
"To produce world-class data engineering professionals and analytical leaders capable of driving evidence-based decisions and innovation across global industries."
M1: Analytical Depth
Provide strong conceptual mastery in statistical theory, machine learning, and big data architecture.
M2: Engineering Rigor
Impart hands-on skills in deploying scalable cloud pipelines, SQL/NoSQL databases, and real-time visualization.
M3: Ethical Analytics
Promote ethical data governance, data privacy compliance, and societal responsibility in automated systems.
UN Sustainable Development Goals Mapping
Mapped with UN SDGs for Sustainable Cities (SDG 11), Industry Innovation & Infrastructure (SDG 9), Decent Work & Economic Growth (SDG 8), and Climate Action Analytics (SDG 13).
| S.No. | Faculty Name | Designation | Qualification | Exp. (Yrs) |
|---|---|---|---|---|
| 1 | UGGAM SUKANYA | Assistant Professor | M.Tech | 4 Yrs |
| 2 | K V V S SANTHOSH REDDY | Assistant Professor | M.Tech | 2 Yrs |
| 3 | T NANDINI | Assistant Professor | M.Tech | 2 Yrs |
| 4 | M VENKATA NARASAIAH | Assistant Professor | M.Tech | 4 Yrs |
| 5 | KAKUMANU NARESH | Assistant Professor | M.Tech | 7 Yrs |
| 6 | DR KATAKAM VENKATESWARA RAO | Professor | Ph.D | 23 Yrs |
| 7 | VENKATA LAKSHMI KOMMURI | Assistant Professor | M.Phil (English) | 8 Yrs |
| 8 | LAKSHMI KOTHAKOTI | Assistant Professor | M.Sc, M.Phil | 13 Yrs |
| 9 | REDDY SRAVANTHI | Assistant Professor | M.Tech | 7 Yrs |
| 10 | M VAGDEVI SRI AMRUTHAVALLI | Assistant Professor | M.Tech | 2 Yrs |
| 11 | SUDHAKAR GANNAVARAM | Assistant Professor | M.Sc (Chem) | 1 Yrs |
| 12 | KASULA ARUNA | Assistant Professor | M.Sc (Maths) | 6 Yrs |
| 13 | GOGINENI JAYA SREE | Assistant Professor | M.Tech | 2 Yrs |
| 14 | YETURI SRIDHAR | Assistant Professor | MBA | 5 Yrs |
| 15 | KOYI HARI BABU | Assistant Professor | M.Sc | 11 Yrs |
| 16 | YANDRATI JYOTSHNA | Assistant Professor | M.Tech | 2 Yrs |
| 17 | NAMBURI MANOHAR | Assistant Professor | M.Tech | 2 Yrs |
| 18 | KOLLI EDUKONDALU | Assistant Professor | M.A (English) | 2 Yrs |
Distributed Big Data Lab
- Apache Hadoop 3.x cluster & Apache Spark distributed analytics
- Scalable NoSQL databases (MongoDB, Cassandra, Redis)
- Cloud data lake integration on AWS & Azure
Business Intelligence & Visualization Lab
- Tableau Desktop, Microsoft PowerBI & QlikView environments
- Python statistical toolkits (Pandas, NumPy, Seaborn, Plotly)
- RStudio for advanced econometric forecasting and time-series
Master exploratory data analysis, hypothesis testing, regression forecasting, and predictive modeling.
Architect distributed pipelines using Apache Spark, Hadoop MapReduce, Kafka, and cloud data warehouses.
Equipped to lead digital transformation, design secure data governance, and build interactive Tableau dashboards.
Deploy scalable scikit-learn, TensorFlow, and PyTorch models for classification, clustering, and NLP.
Core Required Courses
- Programming for Problem Solving (Python & C)
- Object Oriented Design & Data Structures
- Discrete Mathematical Structures & Linear Algebra
- Computer Organization & Operating Systems
- Theory of Computation & Algorithm Design
- Database Management Systems & SQL/NoSQL
- Computer Networks & Web Technologies
- Data Analytics & Data Mining Techniques
Focused & Elective Courses
- Statistical Modelling & R Programming
- Big Data & Business Analytics (Spark / Hadoop)
- Machine Learning & Neural Networks
- Business Intelligence & Data Visualization
- Social Media & Text Sentiment Analytics
- Information Retrieval & Recommendation Systems
- Scalable Cloud Systems for Data Science
- Deep Learning & Cognitive Computing