To become a center of Excellence offering quality education and innovation in Computer Science and Information Technology to meet out the societal needs.
1. To develop the students to excel in the field of Computer Science and Information Technology.
2. To motivate and prepare the students to pursue higher studies and to develop sustainable innovative solutions for the society.
Kalasalingam Academy of Research and Education decided to launch its Data Science programme to meet the global needs of industrial world. With this aim, Master of Science in Data Science programme was offered from the year 2018. This Programme aim to attract bright students throughout the worldfor quality education at post-graduate level. This programme is designed to provide a learning ambience to enhance innovations, problem solving skills, leadership qualities, team-spirit, ethical responsibilities and to equip the graduates with the necessary skills in statistical data analysis andto understand the computing for data science.It is envisioned to apply mathematics, logic, and statistics to the design,development and analysis of software systems.
M.Sc (Data Science) programme is rigorous in the implementation of current IT-related technologies and skills in demand.With encroachment of technology in society, there will be more and more demand for Data Science in diverse sectors. It enables the integration of theory and practice to build a strong foundation for professional employment or research in the discipline. The department has qualified faculty who teach specialized areas likeMachine Learning, Deep Learning, Linear Predictive Analysis, Advanced Database Management Systems and RProgramming. Being a pervasive discipline for all science courses it encourage students to pursue diverse inter-disciplinary interests.Companies are earnestly seeking data scientists to deal with the challenges of Big Data.Be it financial services, healthcare, retail, education or even security and governance, data science is now increasingly used.This PG Programme will lay a persuasive theoretical foundation that will empower the students to develop their own customized data science algorithms desired for deriving insights from very large data sets, which are now continuously generated, thanks to IoT, Social Media and Digitisation.
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PEO1: Graduates will be capable to become leaders, equipped with managerial and analytical skills needed for data driven decision making
PEO2: Graduates are prepared to meet industry demand in the field of Data Science with proficiency in statistical methods and data analytics tools.
PEO3: Graduates will be engaged in lifelong learning and progress into research and development in Data Science and Big Data
PO1: Understand the concepts that lead to various advanced theories in Mathematics, Statistics and Computer science.
PO2: Demonstrate methodologies to design solutions for complex data science problems.
PO3: Apply Mathematical sciences and recent technologies in Computer Science to solve real life problems
PO4: Acquire the skills in handling data analytics tools towards problem solving and solution analysis.
PO5: Enhance and spread knowledge in data science to society with ethical, moral and social values
PO6: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO7: Interpret data findings effectively to any audience, orally, visually and in written formats.
PO8: Apply research- based knowledge to analyse and manage projects in data science.
I take this opportunity to thank my professors and mentors of KARE who showed me the path to reach heights. I graduated from KARE during 2013 with not only academics but also with skills which is very much required by the Industries. Our institution has a wonderful curricula which focuses both on CGPA and Non-CGPA as well, which fired the inherent design skills in me. The quality faculty and the evergreen environment made me to grow further to achieve many laurels in my career.
Er. S. Mohammed Sabiq
Senior Engineer
Renault Nissan Pvt Ltd.
Chennai
2009-2013 batch