Award in Data Analytics

This module provides students with an overview to the importance of big data as the combined collection of traditional and digital data from inside and outside the organisation. It shows how big data has allowed businesses to have access to significantly larger amounts of data, all combined and packaged for analysis.

 This data offers useful and interesting insights businesses, as owners can extract information from big data to study trends that will help them increase their customer base and streamline operations for success. This module outlines these concepts and illustrates how eCommerce businesses can analyse, understand and use online data. It guides students to understand better the concept of analytics, how to increase conversion rates , benchmark performance, digital marketing analytics, big data and business intelligence.

This module will cover the following 6 topics:

1. Understanding analytics

2. ncreasing your conversion rate

3. Benchmarking your performance

4. Digital marketing analytics

5. Big Data

6. Business Intelligence

Hours of Total Learning for this module:

• Contact Hours: 10
• Self-Study Hours: 11
• Assessment Hours: 4
• Total Learning Hours: 25

Learning Outcomes:

At the end of the module/unit the learner will have acquired the following skills:

1. Identify how the technology driven process of business intelligence is used to analyze data and presenting actionable information to help executives, managers and other corporate end users make informed business decisions.
2. Understand the different concepts of analytics and implement them in business for getting better insights on business future.
3. Understand how bigdata works and to provide better solutions for the big data management faced in the organizations.
4. Use the key performance indicators to check whether a business is going in relation to the marketing and advertising goals.
5. Evaluate the analytic tools used in business and implement embedded analytic capabilities in business.
6. Interact with various online data analytic tools to analyze the eCommerce business growth.

Each module will be assessed based on the following components:

1. Quality of Contributions in Forums: 30%
   • Evaluation of participation and the quality of insights shared in online discussion forums.
2. Quality of Contributions in Tutorials: 20%
   • Assessment of engagement and contributions during tutorial sessions.
3. Assignment/Case Study: 50%
   • Completion and quality of assignments that demonstrate understanding and application of the course material.

Passing Criteria:

• Students must achieve an aggregate of 50% or higher across the three components to pass each module.

Scholarship Schemes for Maltese residents:

• MySkills Scheme: Malta residents are eligible for up to 80% reimbursement, capped at €5,000, subject to eligibility criteria. International students would be able to apply for the MySkills Scheme once they obtain their Student Temporary Residence Card (TRC). (For individual modules only)
• Get Qualified Scheme ( Scheme available for Maltese residents ) – 70% refund of course fee as a tax rebate