Dr Sanela Lazarevski, Course Director

Dr Sanela Lazarevski

Course Director

Sanela is a passionate researcher contributing valuable insights to computing, data science and field of computing education. Her completion of a Professional Doctorate in Education (EdD) February 2023, focused on understanding students' conceptions of independent digital learning, using phenomenographic approach.

As a Senior Fellow in the Higher Education Academy (HEA), Sanela exemplifies commitment to higher education standards. In her roles as Course Leader for postgraduate awards and Academic Advisor for both postgraduate and undergraduate students, Sanela actively supports the integration of students into the university environment. Teaching and leading modules at levels 5, 6, and 7, she covers diverse topics, including databases, systems thinking, data analytics, programming, data warehousing, data governance, data mining and visualization. Her commitment to teaching and research underscores her role in promoting inclusivity within academia.

Notable projects she supervised include the development of a data governance strategy for athlete performance optimization, data quality procedure in the ETL automation process, and a comparative study of Big Data vs Small Data in different scientific fields.

Current Teaching

  • BSc (Hons) Data Science
  • BSc (Hons) Computer Science
  • BSc (Hons) Cyber Security
  • BSc (Hons) Cyber Security and Forensics

Degree Apprentice:

  • BSc (Hons) Digital and Technology Solutions
  • MSc Data Science
  • MSc Information and Technology

Research Interests

Sanela's research interests lie in sociological approaches in understanding computing students, particularly their perceptions of the role of digital technology and AI in their independent digital learning. Her current research projects encompass areas of data management, data governance, data provenance and data quality characteristics important for the trustworthiness of data in healthcare.

Dr Sanela Lazarevski, Course Director

Ask Me About

  1. Phenomenography
  2. Data science
  3. Artificial intelligence
  4. Computing
  5. Creative technologies
  6. Education
  7. Governance
  8. Sociology