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Award in Foundations of Data Science - Principles and Tools

Award in Foundations of Data Science - Principles and Tools

  • MQF Level 5
  • 5 ECTS
Fact Sheet (EU/Maltese)

Course Overview

This module aims to equip students with a comprehensive understanding of the computational and algorithmic aspects of data science. It distinguishes itself from the statistical focus covered in Probability and Statistics Foundations with Applications by emphasizing the practical tools and technologies necessary for data handling, manipulation, and the application of machine learning techniques. The course covers a wide range of topics, including data engineering, the use of databases for big data analytics, and the end-to-end machine learning workflow from data preparation to deployment. Additionally, students will learn about data pipelines, workflow management, data cleaning, and integration from various sources.

The module also addresses big data technologies like Hadoop and Spark, SQL and NoSQL databases, and query optimization. Furthermore, it covers programming skills in Python and R, data manipulation libraries such as Pandas and Dplyr, and visualization tools like Matplotlib, Seaborn, and Tableau. Ethical and legal considerations in data science, including data privacy, security, and responsible AI practices, are also emphasized to ensure students are well-versed in responsible data practices.

The main assessment method will be as follows: 100% Assignment (Word Count: 4,000 – 6,000 words)

Accredited

MQF Level 5

Award

5 ECTS

  • Individuals seeking a comprehensive education in software design, including foundational and advanced topics in artificial intelligence and cloud computing.
  • Students are interested in developing a broad understanding of software development principles and technologies, with options to specialize through various awards within the programme.
  • Professionals aiming to enhance their skills and qualifications in software design, AI, and cloud computing to advance their careers.
  • Anyone passionate about technology and innovation, looking to gain knowledge and practical experience in cutting-edge software solutions and computing technologies.

Hybrid classes (subject to change)

You can register for programs either online or in-person. For further details, please feel free to contact us.

  • Students must be in possession of a minimum MQF Level 4 full qualification or higher related to Software Design, IT, or Computing
  • While not mandatory, any relevant experience in IT, software development, or related areas will be considered a benefit.
  • A demonstrated interest in artificial intelligence, cloud computing, and software design, along with a commitment to successfully completing the programme.
  • In the case of international students, where English is not an official language, students need to demonstrate proficiency in the English language through IELTS (Score: 6.0) (International English Language Testing System) or equivalent.

YES this course falls under the

  • GET QUALIFIED scheme which is an initiative that supports the personal development of individuals for the achievement of qualifications and certifications required by industry. The incentive is applicable to individuals following a course of studies leading to a Certification, Diploma, Degree, or Post-Graduate Degree Courses. Upon successful completion, the student will benefit from a tax credit enabling them to recover part of the costs incurred.

Discover more on website: https://maltaenterprise.com/support/get-qualified-2017-2023

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"The online classes have been very easy to follow and the website to view the material is very user-friendly."
Jennifer Micallef
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Sharona Vidal
Euro (EU / Maltese)440.00
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Course Length

1 Month

Intakes

To obtain information about the current intakes dates, we invite you to get in touch with our office.

Class Schedule

Twice weekly, from 18:30 pm till 20:30 pm (subject to change)

Language

English

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Inquiry

Registration Fees: €250

Assignment Submission Fees: €50 per assignment

Fees include

1. Overall qualification certificate

2. Course material tutorial support notes

3. Access to online course resources