Computer Science & Engineering (Data Science)
About theDepartment
Data Science is the conceptual framework which is used in Analytics, this would include statistics, computational physics, algebra, CS and all allied subjects.
The interdisciplinary field of data science uses key skills of a wide range of fields including machine learning, statistics, visualization etc. It enables us to identify meaning and appropriate information from huge volumes of data to make informed decisions in technology, science, business etc.
For a simpler view on the relation between these technologies, data science is applied based on machine learning. And machine learning is a part of data science that draws features from algorithms and statistics to work on the data extracted from and produced by multiple resources. Thus, you can say data science merges together a bunch of algorithms obtained from machine learning to develop a solution, and during the process, lots of ideas from traditional domain expertise, statistics and mathematics are borrowed.
In a nutshell we can say other words, data science stands for an all-inclusive term that consists of aspects of ML for functionality. Interestingly, ML is also an element of data science, where a diverse set of purpose is achieved on a whole new level. ML and DS are a part and parcel of data science.
So a B.Tech. graduate in CSE& DS will be solving real life problems driven by data, applying machine learning algorithms and driven by DS concepts.
Vision
Mission
Highlights of theDepartment
ProgramsOffered
- B.Tech CSE(Data Science): Intake – 120
Head of theDepartment

Dr V M Subramanyam
- 23 Citations Affirmed
- 12 Papers Published
- 45 Workshops Attended
- 21 Consultancy Projects