Business Analytics
6 Credits (ECTS)
Business Analytics
Get 70% back via Tax Credit
€683 refund on this module
Module Description
This module is designed to equip participants with the fundamental skills in data analytics, which are increasingly vital for effectively managing organizations that generate large volumes of data during their day-to-day operations. In today’s data-driven world, the ability to analyze and interpret data is paramount for making informed decisions and gaining competitive advantages.
Throughout this module, participants will delve into various concepts and methodologies essential for data analytics, covering a comprehensive range of topics. From understanding the basics of data collection and processing to advanced techniques in statistical analysis and predictive modeling, this module provides a robust framework for harnessing the power of data.
By immersing themselves in real-world case studies and practical exercises, participants will develop a deeper understanding of how data analytics can drive strategic decision-making processes across different organizational functions. They will learn how to extract actionable insights from complex datasets, identify trends and patterns, and ultimately leverage data-driven conclusions to optimize performance and achieve organizational objectives.
Moreover, this module fosters a more rigorous thinking methodology among participants, emphasizing the importance of evidence-based decision-making. By adopting a data-centric approach, participants can mitigate risks, capitalize on opportunities, and drive innovation within their organizations.
In summary, this module empowers participants to become proficient in data analytics, equipping them with the knowledge and skills needed to navigate the complexities of today’s data-rich environments. By embracing data-driven decision-making, participants can position themselves and their organizations for sustained success in an increasingly competitive landscape.
Entry Requirements
Candidates who apply for this course must possess one of the following:
- a Level 6 degree related to AI/Computer-Science/Mathematics/Electronics;
OR
- a Level 6 degree not related to AI/Computer Science/Mathematics/Electronics and a minimum of two years’ relevant experience;
OR
- a Level 5 diploma or higher diploma and five years’ of relevant work experience.
Target Audience
This course is targeted at:
- Industry professionals working in different domains, including Technology, Engineering, Science, IT, Finance, Accountancy, Management, Marketing, Insurance, Banking, Gaming, Healthcare, Medicine, Pharmaceutical, Human Resources, Psychology, Blockchain, Legal, Administration, Policy Making, Digital Art, Archaeology, Architecture, Education and other related areas.
- Recent graduates with degrees in Computer Science, Technology, Marketing, Finance, Economics, Accountancy, Management, HR, Law, Engineering, Science, Medicine, Psychology, Digital Art, Game Development, Archaeology, Architecture or Business.
- Mid-career-break professionals looking for opportunities to return to or change their career.
The target group may also be extended to positions such as that of wedding manager, transport manager, maintenance manager, operations manager, marketing manager, conference manager and even that of general manager.
Career Paths
The programme prepares for positions such as and not limited to:
- Compliance Supervisor/Manager/Officers
- Anti-Money Laundering Managers
- Money Laundering Reporting Officer and their deputies
- Law enforcement agencies and supervisory and regulatory authorities
- Managers with responsibilities for internal AML controls
- Risk Managers
- Director of Compliance
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.
**Terms and conditions apply.
Learning Outcomes
Competences:
At the end of the module/unit the learner will have acquired the responsibility and autonomy to:
- Critically analyse and evaluate the importance of data analytics for business.
- Appropriately apply data analysis skills.
- Rigorously appraise different data analysis techniques & methodologies.
- Report the findings from data analysis to specialist and non-specialist audiences.
Knowledge:
At the end of the module/unit the learner will have been exposed to the following:
- Examine the fundamentals and importance of business analytics.
- Discuss the data analysis plan and data gathering.
- Compare and contrast Data analysis techniques & methodologies.
- Discuss real world use cases of business analytics.
Key indicative topic areas cover:
- The fundamentals and importance of data analytics
- Business Analytics in practice
- Big Data
- Descriptive Statistics
- Data visualisation and reporting
Skills:
At the end of the module/unit the learner will have acquired the following skills:
- Gather data-based case study and present it using data visualization and reporting techniques.
- Apply various data analysis techniques and methodologies.
- Judiciously apply report writing skills.
- Thoroughly analyse quantitative research results and present them to the specialist and non-specialist audience.
Judgment Skills and Critical Abilities:
The learner will be able to:
- Collect, analyse and interpret data/information to support arguments, and to develop solutions and apply problem-solving related to business analytics.
Module-Specific Communication Skills:
The learner will be able to:
- Communicates ideas, problems, and solutions to both specialist and non-specialist audiences using a range of techniques involving qualitative and quantitative information.
Module-Specific Learner Skills:
The learner will be able to:
- Undertake independent and self-directed study through primary and secondary research.
Module-Specific Digital Skills and Competences:
The learner will be able to:
- Navigate through the online learning platform to find assignments, discussion boards, literature, tutorials etc.