Data-Driven Decision Making and Analytics
10 Credits (ECTS)
Data-Driven Decision Making and Analytics
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€280 refund on this module
Module Description
This module equips learners with the analytical mindset and technical competencies required to make informed, data-driven decisions.
It introduces the foundations of data literacy, guiding learners through the processes of collecting, cleaning, analysing, and interpreting data to support strategic and operational decision-making.
Entry Requirements
Candidates who apply for this course (which does not lead to a regulated profession) will possess:
- A qualification at MQF Level 4 (one ‘A’ Level or equivalent in any subject) and a pass in English Language* and Mathematics at MQF Level 3 (‘O’ Level or equivalent).
- In the case of students who do not possess all the formal required academic qualifications, then the Recognition of Prior Learning (RPL) process could be applied such that if evidence of equivalent learning is found then the applicant could still be accepted on the course. Such RPL process will subject applicants to an interview held with a board of experts within the field, chosen specifically by IDEA College, so as to verify their experiences and prior learning.
*Students whose first language is not English and do not possess an ‘O’ level pass in English Language will be required to demonstrate English language capability through certifications such as IELTS certificate with a score of 6.0 or OET with a minimum score of B in speaking and at least C+ in listening, reading and writing.
Target Audience
This course is targeted at people who wish to have a thorough background in management in order to progress further in their careers, such as:
- Individuals aspiring to build fundamental knowledge and skills in Management as part of a first-cycle (undergraduate) degree.
- Individuals aiming to pursue diverse career paths in areas such as business administration, marketing, human resource management, operations, entrepreneurship, and project management.
- Individuals seeking employment or career progression in sectors including private enterprise, public administration, non-governmental organisations (NGOs), retail, finance, hospitality, and emerging industries.
- Individuals interested in developing transferable skills such as leadership, communication, problem-solving, and strategic thinking, which are applicable across multiple professional contexts.
Career Paths
This programme does not lead directly to a regulated profession. However, it equips graduates with the academic background and practical competencies required to pursue professional development opportunities.
The possible positions for which this programme aims to prepare, are middle-management to senior posts such as: Manager / Senior Manager / Head of Department / Director etc., of any organisation both in the private and public sector.
The programme also provides a foundation for further studies at postgraduate level in management or related disciplines.
How you’ll be assessed
The course comprises:
- Evening classes for part-time courses.
- Classes held throughout the day for full-time courses.
- Guided learning, presentations, comprising synchronous online discussions, tutorials and/or videos.
- Self-study hours comprising research, reading and assignment work.
Assessment
Assessment is carried out via two mandatory components:
- Modular Assessment
- Summative Assessment
The programme includes different forms of assessment which allow for and promote students’ critical engagement. The formative and summative assessment tasks may include an in-class assignment and/or a home-based written assignment using diverse assessment tools which may take the form of online and in-class discussions, examinations, case studies, reports, proposals, essays, and presentations, etc., as applicable to the diverse modules.
Learning Outcomes
Competences:
At the end of the module/unit the learner will have acquired the responsibility and autonomy to:
- Evaluate data collection and preparation techniques.
- Apply descriptive and predictive analytics methods.
- Develop and present data insights using business intelligence tools.
- Integrate analytical thinking and data-informed strategies to support effective decision-making.
Knowledge:
At the end of the module/unit the learner will have been exposed to the following:
- Evaluate data collection and preparation techniques.
- Apply descriptive and predictive analytics methods.
- Develop and present data insights using business intelligence tools.
- Integrate analytical thinking and data-informed strategies to support effective decision-making.
Skills:
At the end of the module/unit the learner will have acquired the following skills:
- Interpret data sets to extract meaningful insights that support strategic and operational decisions.
- Build interactive dashboards and data visualisations using tools such as Excel or Power BI.
- Apply basic analytics techniques to solve real-world business problems.
- Communicate analytical findings clearly and persuasively to a range of stakeholders.
- Evaluate the quality and relevance of data sources used in business analysis.
- Apply analytical reasoning to explore and interpret data patterns, trends, and relationships relevant to business contexts.
Module-Specific Learner Skills:
At the end of the module/unit, the learner will be able to:
- Interpret and analyse business data to support evidence-based decision-making.
- Create dashboards to visualise and report business performance metrics.
- Apply analytics methods to identify trends, risks, or opportunities in business scenarios.
- Present own discussion and developments in a logical and organised manner through approaches of critical feedback and self-reflection.
- Engage with peers and/or team members to share and reflect on own development.
Module-Specific Digital Skills and Competences:
The learner will be able to:
- Navigate through the online learning platform to benefit from assignments, discussion boards, literature, tutorials etc.