MQF/EQF Level 5

Certificate in Advanced Data Analysis

Knights College
Malta
TBA
Certificate in Advanced Data Analysis
Mode
Part Time
Delivery
Class-Based Learning
Duration
9 Months
Location
Malta
Credits
30 ECTS/ECVET
Language
English
Price Early Submission (EU Students)
Price Full (EU Students)
€3,500

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

Price International (Non-EU Students)

The MQF Level 5 Certificate in Advanced Data Analysis course is developed for students who wish to pursue a career in the IT industry.

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.

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.

Target Audience

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.

Modules

Welcome to the Module/Syllabus Area.
Please note that the modules displayed below are subject to change based on scheduling.
This is the course outline
Module
ECTS
Duration
Statistical Data Analysis
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.
6
ECTS
30
hours
SQL
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.
6
ECTS
30
hours
Python Scripting
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.
6
ECTS
30
hours
Semester 1
This is the course outline
Module
ECTS
Duration
Power BI
In this module Power BI is used to facilitate the transformation of disparate data into an easier consumable format.
6
ECTS
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.
6
ECTS
30
hours
Semester 2
Module
ECTS
Duration
No modules listed
Module
ECTS
Duration
No modules listed
Module
ECTS
Duration
No modules listed
Module
Total Credits
Core Modules
30
Credits to graduate
30 ECTS/ECVET

Awarding &
Accrediting Bodies

Awarding Body
Validating Body
Knights College

Knights College

This qualification is awarded by Knights College.
Accrediting Body
Malta Further and Higher Education Authority

Malta Further and Higher Education Authority

This qualification is accredited by the Malta Further and Higher Education Authority.

Course Information

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.
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Entry Requirements

The below are the requested 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.

Funding Schemes

Welcome to the Module/Syllabus Area.

Scholarships & Facilitations

Get Qualified Scheme

Get Qualified Scheme

Governed by the Malta Enterprise, this scheme gives the student up to 70% of the total fees paid for the course in tax credits. Get Qualified is an initiative that supports the personal development of individuals for the achievement of qualifications and certifications required by industry.
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