Duration: 1 Year
To develop competent research professionals capable of designing, conducting, and managing research projects, applying advanced data analysis techniques, and contributing to innovation and development initiatives.
1. Analyse research problems and develop appropriate methodologies (Analyse)
2. Design and conduct research projects (Create)
3. Evaluate data using analytical tools (Evaluate)
4. Apply innovation frameworks in R&D (Apply)
5. Produce professional research reports and presentations (Create)
Module 1: Advanced Research Concepts
• Research philosophy:
o Positivism
o Interpretivism
• Research paradigms and approaches
• Formulating research problems and objectives
• Literature review techniques:
o Academic databases
o Critical analysis
Module 2: Research Design & Methodology
• Advanced qualitative and quantitative methods
• Experimental and non-experimental designs
• Mixed-method research
• Sampling design and size determination
• Ethical approval processes
Module 3: Data Collection & Instrument Design
• Questionnaire design (scales, Likert scale)
• Interview techniques (structured, semi-structured)
• Observation methods
• Pilot testing
• Reliability and validity testing
Module 4: Data Analysis & Statistics
• Descriptive statistics
• Introduction to inferential statistics
• Correlation and regression basics
• Use of tools:
o Excel (advanced)
o Introduction to SPSS or similar
• Data interpretation and reporting
Module 5: Innovation Management
• Innovation lifecycle
• R&D management in organizations
• Technology and product development
• Intellectual property (IP) basics:
o Patents
o Copyrights
• Commercialization of research
Module 6: Project Management in R&D
• Project planning and scheduling
• Budgeting and resource allocation
• Risk management
• Monitoring and evaluation
Module 7: Academic Writing & Publication
• Advanced research writing
• Journal article structure
• Referencing styles (Harvard, APA)
• Plagiarism detection tools
• Peer review process
Module 8: Research Ethics & Professional Practice
• Ethical standards in research
• Data protection and confidentiality
• Responsible research practices
• Professional conduct in R&D