Our department is adopting a long run approach for academic excellence by thriving to be a leading academic department in Business Intelligence and Data Analytics, fostering innovation, research excellence, and producing industry-ready graduates. Also to provide high-quality education and research in Business Intelligence and Data Analytics, equipping students with the knowledge, skills, and ethical principles to address complex business challenges in the digital age.

Our Strategy is moving up from the following 5 pillars:

1. Curricular Excellence:

  • ​Develop and update curricula to align with industry trends and emerging technologies (e.g., AI, machine learning, big data).
  • Offer specialized tracks within the programs (e.g., data science, business analytics, data engineering). 
  • Integrate hands-on projects and real-world case studies into courses.
  • Promote interdisciplinary collaboration with other departments (e.g., computer science, statistics, economics).​

2. Faculty Development:

  • Recruit and retain top-tier faculty with expertise in both theoretical and applied aspects of BI and DA.
  • Support faculty research through grants, fellowships, and sabbaticals.
  • Encourage faculty to engage in industry collaborations and consulting projects.
  • Provide professional development opportunities to enhance teaching and research skills.

3. Student Success:

  • Offer academic advising and mentoring to guide students' academic and career paths.
  • Establish industry partnerships for internships, co-op programs, and career placement.
  • Create a supportive learning environment that fosters critical thinking, problem-solving, and teamwork.
  • Encourage student participation in research projects, competitions, and hackathons.

4. Research and Innovation:

  • Promote research in cutting-edge areas of BI and DA (e.g., predictive analytics, data mining, data visualization). 
  • Establish research centers and labs to facilitate collaborative research and innovation.
  • Seek external funding to support research projects and initiatives.
  • Disseminate research findings through publications, conferences, and workshops.

5. Industry Partnerships:

  • Build strong relationships with industry partners to inform curriculum development and provide real-world insights.
  • Organize industry seminars, workshops, and guest lectures to expose students to industry trends and challenges.
  • Collaborate with industry partners on joint research projects and technology transfer initiatives.

​Key Performance Indicators (KPIs):

  • Student enrollment and retention rates
  • Graduate employment rates and starting salaries
  • Faculty research productivity and citations
  • Industry partnerships and collaborations
  • Program accreditation and rankings
  • Student satisfaction and engagement

By focusing on these strategic goals and KPIs, the Business Intelligence and Data Analytics department can position itself as a leader in the field and contribute to the development of a data-driven workforce.

Our vision:

Our students are real precious assets, our department is an incubator for leadership and unique mindsets that provide reliable outputs to the globe, our faculty are a role model in their academic performance and ethical behaviour.

Our mission:

To equip humanity with fresh blood graduates, open minded and global citizens who are capable of leading the chainage the world to be better place for all.