About Us

The School of Data Analytics (SDA), established in 2020, is a pioneering center dedicated to excellence in teaching, research, and innovation in the rapidly evolving fields of Data Science, Artificial Intelligence, and Analytics. SDA serves as a hub where academic knowledge meets real-world application, preparing students to become skilled professionals and researchers who can drive data-driven transformation across industries.

Vision

Harness the power of data using the tools of Data Science & Analytics to accelerate innovation in problem-solving, decision making, resource management and translational research.

Mission

• To enhance data literacy among the public and decision-makers to foster the growth of a welfare society.
• To bring out innovations in data visualization, analysis and interpretation for forecasting and effective project implementation.
• To democratize data access to nurture a culture of genuine and impactful interdisciplinary research and consultancy.
• To train skilled manpower with values and ethics to meet the emerging challenges of both academia and industry.
• To emerge as a Centre of Excellence in Data Science and Analytics with global standards and expertise through National/International collaboration and linkage

Academic Programs

SDA offers postgraduate program in Data Science and Analytics, with a curriculum designed to integrate:

• Statistical foundations
• Machine learning and artificial intelligence
• Big data analytics
• Cloud Computing
• Real-world case studies and industry projects

Our programs emphasize both theoretical rigor and practical skills, ensuring graduates are career-ready for roles in research, academia, and industry.

Future Goals

SDA aspires to evolve into a Global Centre of Excellence in Data Science and Artificial Intelligence, driving impactful research, international collaborations, and nurturing the next generation of innovators and leaders.

School of Data Analytics – Brochure -2023

VISION AND MISSION

 

Department IQAC

Committee

• 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 

NAAC SSR

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

Quality Initiatives Faculty Development Curriculum Review Student Engagement Student Feedback Faculty-Student Interaction

STRATEGIC PLAN

1. Academic Excellence

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

Objectives:

• 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.

Objectives:

• 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.

Objectives:

• 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.

Objectives:

• 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.

Objectives:

• 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.

Objectives:

• 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.

Objectives:

• 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.