MQF/EQF LEVEL 5

Certificate in Advanced Data Analysis

Table of Contents

The MQF Level 5 Certificate in Advanced Data Analysis course tackles several tasks related to handling data, which is why it is ideal for students who wish to pursue a career as IT System Analysts, Data Scientists and Data Analysts, among others. It shall help its learners identify and define various approaches to gathering and managing data and information. Furthermore, it will allow learners to gain the necessary competencies to collaborate with peers when it comes to generating reports and monitoring changes in data.

Awarding Body

This qualification is awarded by Central Mediterranean Business School (CMBS).

Accrediting Body

This qualification is accredited by the Malta Further and Higher Education Authority. MFHEA deems this Certificate in Data Analysis to be at Level 5 in the Malta Qualifications Framework and the European Qualifications Framework for lifelong learning.

Entry Requirements

To be eligible for this course, students should be in possession of minimum ECDL Advanced Spreadsheets (or similar) and English Language (EU Self Assessment level C). If you do not meet the standard entry requirements and are adequately prepared to succeed in this programme, we welcome and encourage you to contact us for an interview.

Mode of Assessment

There will be three types of assessments for this course:

  • Time-constrained assignment – Students will have to do the assignment in class. This will be a practical assignment that needs to be done on a computer.
  • Home assignment – Students will have a period of time to prepare work at home backed up by research and self-study.
  • Presentation – Some of the work will have to be presented in class.

Who is this course for?

This course is intended for those who are aged 18+ and aspire to work or are already working as data scientists, machine learning engineers, business intelligence analysts, logistics analysts, data architects, business systems analysts, or marketing analysts.

Delivery

Face-to-face/Hybrid

Language

This programme will be delivered in English.

Tutor

Location

Key Info

Duration

9 Months

Starting

TBA

Credits

30 ECTS/ECVET

Full Price (EU Students)

€3,500
Up to €2,450 refunded via the Get Qualified Scheme.

Modules

This unit aims at providing general knowledge and the skills needed for a researcher to perform statistical analysis on a dataset in order to prepare a number of hypothesis and perform due research. By using a number of editing and visualisation tools, this unit allows researchers to interface with a number of data storage applications, create data models, and perform the necessary data transformations and analysis. Finally, this unit covers various techniques for how data can be visualised and prepared in dynamic reports.                      

30 hours

The unit starts off with an overview of the basic database principles and the setting up of a simple database environment. Database design practices are introduced using Entity Relationship Diagrams (ERD) which follow commonly used normalisation rules. Attention is later directed towards the actual implementation of designed databases through SQL.

30 hours
In this module Python is used to introduce scripting as a tool to gather, clean, analyse and visualise data. The module does not assume any prior knowledge of Python or any other scripting/programming language.
30 hours
 
Power BI

In this module Power BI is used to facilitate the transformation of disparate data into an easier consumable format. 

30 hours
 
Data Analysis Project

In this highly practical module, all the skills learned in the previous four modules, together with some new ones, will be applied in a project that covers all the aspects of a real-world data project.

30 hours

Have questions?

Email us at admissions@cmbs.edu.mt or call on +356 9912 1110 to learn more.

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