DEPARTMENT OF DATA ANALYTICS
About the Department
The Department of Data Analytics was established in the year 2020 with an objective of imparting quality education in the field of Data Science. It aims to train students to develop interdisciplinary skills and gain a deep understanding of technical and applied knowledge in data science and analytics. Also, the department boasts a rich knowledge pool of faculty and has modern facilities for teaching, learning and research.
To ensure that students are up-to-date with trends and changes, the department rhythmically conducts workshops on the latest technology like Machine learning, Data Analytics, Big Data, Natural Language processing, Business Analytics for the students. The industrial alumni of the college will deliver lectures on latest topics periodically for updating the skill sets of the students.
Currently department of data analytics offers masters programme in Data Analytics and it was inaugurated by Honourable Dr Sabu Thomas, Vice Chancellor, Mahatma Gandhi University Kottayam on 18th January 2021. In addition, the Department also offers both lecture-based and hands-on lab learning environments where students can develop and apply their skills to complex, real-world datasets and data science and analytics problems. Faculty members in the department possess the diverse skill sets needed for this emerging discipline. Thus, the Department of Data Analytics strives to shape highly trained, qualified data analyst who can go on to pursue careers in industry, government or research with ethical and human values.
Email- pgdatanalytics@macollege.in
Vision
To achieve excellent standards of quality education using latest tools, nurturing collaborative culture and disseminating customer-oriented innovations to relevant areas of academia and industry towards serving the greater cause of society.
Mission
To provide advanced training in data science and analytics principles and methodologies, and strives to shape highly trained, qualified data analyst who can go on to pursue careers in industry, government or research with ethical and human values.
Message from the HOD
Young Friends and Parents,
Heartiest greetings!
“The expert at anything was once a beginner.” – Helen Hayes
In lights of Helen Hayes words, I am delighted to welcome you all to the Department of Data Analytics. We started our journey in the year of 2020, with the objective to train students to develop interdisciplinary skills and gain a deep understanding of technical and applied knowledge in data science and analytics.
Data science is an interdisciplinary field that combines expertise from several domains. Data scientist is the unicorn that needs to possess diverse skills such as statistics, math, machine learning, operations research, data visualization, communication and domain expertise. Our program is unique in its interdisciplinary design where you will learn how data science and analytics can help improve decisions throughout an organization’s value chain, understand how recommendations lead to tangible actions through prescriptive analytics techniques, gain a good understanding of methods used in building such data-driven models, and acquire hands-on experience with analytics tools that are widely used in practice.
The masters program provides advanced training in data science and analytics principles and methodologies, and highlights their applications in solving problems in various industry, government and research domains. Technical skills such as mathematics, statistics, operations research, and programming are core competencies that are in the greatest demand in the marketplace. The masters program is designed to provide these competencies.
This program prepares students to work in the growing and dynamic field of Data Analytics. Students will learn the techniques and tools of analytical decision making and utilize these skills to drive the competitiveness of an organization. Students will be exposed to various fields of data analytics modelling as well as courses in the areas Machine learning, Big Data, Natural Language processing, Business Analytics etc. Through applied learning techniques such as problem-based learning and work placement, students will be able to apply their learning to real-world problems.
Data Analytics experts are currently in high demand, especially with the opportunity to leverage high volume and variety of data, available in today’s digital world, to support business strategy, enhance customer experience, and, solve real-life problems in real-time.
It is a great pleasure for me to serve as the Head of the Department of Data Analytics. I invite you to join us and discover the fascinating world of data science and analytics in this vibrant institution by interacting with leading academics and professionals.
Thank you for visiting us.
