M.Sc. Data Science
Job-ready data science education, revised every year to match current technology.
Introduction
M.Sc. Data Science department courses are designed in a way that the students are job ready.
This curriculum will be annually revised, so it is relevant to the present technology and requirements at any workspace. The syllabus is designed along with university nominee, subject expert, and industrial expert. Industry academician interaction with the students is arranged to guide, motivate, and give inputs on current trends.
Vision & Mission
- To facilitate the highest quality data science education, committed to excellent teaching, innovative research, and the personal and intellectual growth of students in a diverse academic Community.
- To make students data science professionals engaging in data science related activities, particularly those students with a computer science, statistics background.
- The program helps students to acquire the type of technical skills, critical thinking and competencies needed in data Science.
- The program objectives are to train student with the tools that are in demand and urgently needed to engage in leading edge activities and research in data science.
- To impart fundamental knowledge and skills related to data science solutions. Designing tools and methods to perform data analytics including data collection, data management, specification, data cleaning, data transformation, data modeling, big data analytics, data visualization, data security, data quality evaluation.
Faculty Profiles
Dedicated mentors guiding academic and research excellence.
Dr. Ch. Suryakanthi
Dr. G. Anitha Mary
Ms. D. Banu Kranthi*
Ms. N. R. Rashmi*
Department Overview Video
Take a virtual tour of our classrooms, labs, and student activity spaces.
Consolidated Scheme & Syllabus
View or download the official credit distribution scheme and the course syllabus for AY 2026–27.
Department Gallery
Glimpses of seminars, workshops, and student activities.
