DEPARTMENT
OF
DATA ANALYTICS
Visitor's Count
Department of Data Analytics, Simats Engineering is awarded as "Top Department for Swayam Courses" Completed on 18.07.23
Saveetha Common Admission Test ( SCAT 2023 - Online examination ) for Undergraduate programs in health, technical, liberal arts and sciences is scheduled on 23/04/2023. Last date for application is 15/04/2023.
The link for the application is
http://182.19.38.182:8009/appform.aspx
VISION
To support, foster and participate in the creation and evolution of an experience, expertise and data analytic driven decision making process.
To embraces the idea of a subsequent action being made fueled by the business insight, knowledge and understanding derived from data analysis.
To transform a world of data into a world of intelligence.
MISSION
To grow through optimizing our every move and bring a suite of knowledge in integrating scientific investigation and analytics.
To empower and inspire with the most trusted analytics.
To serve the Vision through a compelling, easy-to-use, visual and ubiquitous Data Analysis Suite empowering and enabling our students to enhance their skills.
ABOUT THE DEPARTMENT
We the department of Data Analytics strives to create Data Scientist, Data Analyst, Data Engineers and Data Architects also to build new ideas on research and evolve new leaders for better tomorrow.
The department is emerging with 8 faculties and 135 students. There are 20 Research scholars doing research in various fields like Data Science in machine Learning, healthcare and Gene data analysis.
The department has signed 3 MoU's with leading companies. We frequently conduct various seminars and guest Lectures to make the students aware about the present trends. Our students are also placed in leading companies like Wipro, CTS and TCS.
Dr.Rashmita Khilar
Professor, HOD
The Department of Data Analytics is a new department at SSE. This department is an intersection of Information Technology, Statistics and Business. The department connects Data science (Statistics, Mathematics, Machine Learning, Deep Learning, Statistical Learning, Artificial Intelligence) with business and economics research (finance, accounting, marketing, information management, operations, micro- and macroeconomics, policy design) in order to help businesses and organizations succeed.
The responsibilities of a data analyst are
* Data Architect * Applications Architect * Infrastructure Architect * Enterprise Architect * Data Scientist* Data Analyst * Data Engineer * StatisticianThe students will learn about
* Python * Tableau * Machine Learning * MySQL * Predictive ModelingProgram highlights:
* Convenient learning formats * Dedicated career services * Learn from the best* Structured program with dedicated support * Hands on Learning * Safe ClassroomsABOUT US IN PRESS
