Data Analytics for Business
6 Credits (ECTS)
Data Analytics for Business
Get 70% back via Tax Credit
€280 refund on this module
Module Description
This module focuses on the essential skill of data analytics, crucial for management personnel in today’s data-intensive industries.
Participants will learn various fundamental concepts and methodologies in data analytics, enabling them to develop a rigorous, data-driven approach to decision-making.
The module covers techniques for analyzing and interpreting large volumes of data, ensuring that all managerial decisions are informed and supported by solid data conclusions.
By mastering these skills, participants will be better equipped to leverage data for strategic planning and operational efficiency, enhancing their overall effectiveness in a data-centric business environment.
Entry Requirements
Candidates who apply for this course must possess:
- a qualification at MQF Level 4 (one ‘A’ Level or equivalent in any subject)
AND
- a pass in English* and Mathematics at MQF Level 3 (‘O’ Level or equivalent).
Preference is given to applicants having a year of work experience related to the field of study.
*Students whose first language is not English will be required to demonstrate evidence of an adequate level of English proficiency.
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:
- Supervisors
- Coordinators
- Assistant Managers
- Junior Managers
- Middle Managers
- Project Coordinators/ Project Managers
The target group can also be extended to groups that have significant management experience but lack a formal qualification, such as managing directors and officers.
Career Paths
The programme aims to help you progress from first–level supervisory positions to higher managerial roles such as:
- Manager
- Senior Manager
- Head of Department
- Director etc. of any organisation both in the private and public sector.
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.
Additional Info
Upon successful completion of this course, students will be eligible for a 70% refund of the cost through the ‘Get Qualified’ scheme.**
Due to the modular structure of the course, you may also opt to take individual modules as stand-alone. The entry requirements still apply.***
*Prices are applicable to students who reside in Malta at the time of applying.
Learning Outcomes
Competences:
At the end of the module/unit the learner will have acquired the responsibility and autonomy to:
- Evaluate importance of data analytics for business.
- Prepare data analysis plan and critically analyse it upon its gathering.
- Critically appraise different data analysis techniques & methodologies.
- Report the findings from data analysis.
Knowledge:
At the end of the module/unit the learner will have been exposed to the following:
- The fundamentals and importance of data analytics.
- The data analysis plan.
- Data gathering.
- Data analysis techniques & methodologies.
- Data visualisation and reporting.
- Real world use cases of data analytics.
Skills:
At the end of the module/unit the learner will have acquired the following skills:
- Evaluate importance of data analytics.
- Gather data based on presented case study.
- Apply various data analysis techniques and methodologies.
- Critically apply report writing skills and research methods to report results from data analysis.
Judgment Skills and Critical Abilities:
The learner will be able to:
- Analyse own level of professional and academic skills and apply techniques for further improvement of those skills.
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.