CMIT Advanced Diploma in Business

Topics covered in this Professional Diploma in Digital Marketing

Component 1: Assessing Leadership

• Theories and models of leadership: Trait, behavioural, situational, and transformational approaches
• Leadership vs. management: Distinguishing direction-setting from planning and control
• Assessing leadership capability: Self-assessment tools, 360-degree feedback, and competency frameworks
• Emotional intelligence: Self-awareness, self-regulation, empathy, and social skills in leadership
• Leadership styles in practice: Matching style to team maturity, task, and organisational context
• Motivating and developing others: Delegation, coaching, and performance conversations
• Leading with integrity: Ethics, values, and building trust within teams
• Developing a personal leadership plan: Identifying strengths, gaps, and development actions

Component 2: Managing Projects

• Fundamentals of project management: Project life cycle, roles, and success criteria
• Project initiation and scoping: Business case, objectives, deliverables, and stakeholders
• Planning tools and techniques: Work breakdown structures, Gantt charts, and milestones
• Estimating time, cost, and resources: Building realistic schedules and budgets
• Risk management: Identifying, assessing, and responding to project risks
• Leading project teams: Communication, coordination, and managing stakeholder expectations
• Monitoring and controlling projects: Tracking progress, managing change, and reporting
• Project closure and review: Handover, evaluation, and capturing lessons learned

Component 3: Business Data Analytics

• Business analytics and big data: Categories of analytics and organisational context
• Secondary and primary data: Sources, limitations, and quality criteria
• Data types: Quantitative and qualitative data and implications for analysis
• The business analytics process: Problem definition through to reporting
• Dataset preparation and cleaning: Missing values, duplicates, and formatting issues
• Exploring data with Excel and AI tools: Pivot tables, charts, and AI-assisted analysis
• Key statistics and correlation: Descriptive statistics for business data
• Predictive analytics and reporting: Algorithms, forecasting, and evidence-based reports

Component 4: Leading Innovation

• Innovation in organisations: Types of innovation and why organisations must innovate
• Innovation and the hype cycle: How disruptive technologies reach mainstream adoption
• Consumer adoption of innovations: Rogers’ diffusion model applied to new products and services
• Building a culture of innovation: Leadership behaviours that enable creativity and experimentation
• Generating and screening business ideas: Ideation tools and prioritisation frameworks
• Digital business models: How technology reshapes value creation and delivery
• The Business Model Canvas: Analysing and designing business models
• Leading change: Overcoming resistance and embedding innovation in the organisation

Component 5: Problem Solving

• Structured approaches to problem solving: Defining, analysing, and framing business problems
• Root cause analysis: Five whys, fishbone diagrams, and cause-and-effect thinking
• Creative thinking techniques: Brainstorming, lateral thinking, and idea generation
• Decision-making frameworks: Criteria-based evaluation, weighting, and trade-off analysis
• Data-informed problem solving: Using evidence to test assumptions and options
• Group problem solving: Facilitating teams, managing bias, and building consensus
• Implementing solutions: Action planning, ownership, and measuring outcomes
• Reviewing and learning: Evaluating results and continuous improvement

Assessment

• This programme is assessed entirely through continuous assessment. There are no written examinations. Learners demonstrate their competence through three assessment types: (1) Assignments: Structured tasks requiring learners to demonstrate understanding of specific learning outcomes. Assignments are typically short-to-medium length written responses addressing a defined brief, (2) Projects: Larger structured tasks requiring planning, independent research, and problem-solving to produce a final output relevant to digital marketing practice, (3) Portfolios: Collections of work produced over time that demonstrate the learner’s developing skills, competencies, and achievement of learning outcomes across the programme.
• All assessments are submitted online through the CMIT eLearning platform. Tutor feedback is provided within 10 working days of each submission. Learners must receive feedback on a submitted assessment before proceeding to the next submission.
• Assessment work is marked by a CMIT Internal Assessor and subsequently reviewed by an Internal Verifier as part of CMIT’s quality assurance process.

Certification

• Learners who successfully complete all programme components and assessments within the 12-month programme duration are awarded the Advanced Diploma in Business by College of Management & IT (CMIT). The programme is benchmarked to Level 7 on Ireland’s National Framework of Qualifications and is not a registered NFQ qualification.