Monday, April 22, 2024
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About Us

School of Data Analytics – Brochure -2023



Department IQAC


  • Dr.K K Jose
  • Dr.Ancy Joseph
  • Ms. Abseena Habeeb
  • Dr.Sharon Susan Jacob
  • Mr. Jiby Joseph

Student IQAC

  • Abhirami  Sabu
  • Nehamol Varkey
  • Nakul G
  • Vishnupriya 


  • Dr.K K Jose
  • Dr.Ancy Joseph
  • Ms. Abseena Habeeb

Quality Initiatives

  • Faculty Development
  • Curriculum Review
  • Student Engagement
  • Student Feedback
  • Faculty-Student Interaction


1. Academic Excellence

Goal: To offer a world-class MSc in Data Science and Analytics program that prepares students for success in the field.


  • Develop and maintain a rigorous and up-to-date curriculum.
  • Recruit and retain outstanding faculty with expertise in data science.
  • Establish strong connections with industry to ensure program relevance.
  • Maintain a high graduation and job placement rate.

2. Research and Innovation

Goal: To be a center for cutting-edge research and innovation in data science.


  • Promote research activities among faculty and students.
  • Establish research centers or labs dedicated to data science and analytics.
  • Encourage collaboration with industry partners for research projects.
  • Publish and present research findings at conferences and journals.

3. Inclusivity and Diversity

Goal: To create an inclusive and diverse learning environment.


  • Implement diversity and inclusion initiatives to attract a diverse student body.
  • Foster an inclusive culture that respects and values differences.
  • Provide support and resources for underrepresented groups in data science.
  • Monitor and assess the effectiveness of diversity and inclusion efforts.

4. Industry Engagement and Partnerships

Goal: To build strong partnerships with industry for internships, projects, and job placements.


  • Forge partnerships with local and global companies in various industries.
  • Establish internship programs and experiential learning opportunities.
  • Facilitate networking events and career fairs for students.
  • Gather feedback from industry partners to enhance the curriculum.

5. Infrastructure and Technology

Goal: To provide state-of-the-art facilities and technology resources.


  • Upgrade and maintain modern classrooms and computer labs.
  • Invest in cutting-edge software and hardware for data analysis.
  • Ensure a reliable and high-speed internet connection.
  • Provide access to a well-equipped library and online resources.

6. Continuous Improvement and Assessment

Goal: To regularly assess and enhance the quality of the program.


  • Establish a system for program assessment and evaluation.
  • Collect feedback from students, faculty, and alumni for improvement.
  • Adapt the curriculum to address emerging trends in data science.
  • Seek accreditation and recognition from relevant professional bodies.

7. Financial Sustainability

Goal: To ensure the long-term financial sustainability of the school.


  • Develop a diversified revenue model, including tuition, grants, and donations.
  • Maintain responsible fiscal management and budgeting practices.
  • Seek external funding opportunities for research and program development.
  • Implement cost-saving measures where possible.