Course Description

The degree in Applied Data Sciences is designed for individuals who are interested in utilizing data to solve complex challenges in various fields. With a focus on applied methodology, analytical skills, and hands-on experience, students will learn how to use advanced analytical tools and techniques to uncover hidden trends and patterns that can lead to business success. The programme covers a range of topics related to software engineering, data organization, and data analysis using the latest technologies in business intelligence, reporting, machine learning, and big data. In addition, the degree includes a strong emphasis on text mining and natural language processing (NLP), which are key tools for extracting insights from unstructured data.The program also covers critical thinking skills, building strategies for promoting businesses, understanding consumer behaviour, computational linguistics and the laws governing business processes. A work-based component provides an opportunity for students to gain valuable industry experience and learn from real-world professionals. At the end of the programme, students will undertake a research component in the form of a dissertation. The degree is ideal for individuals who are passionate about leveraging technology to drive business performance and make data-driven decisions.

Career Prospects

Data Analyst, Business Analyst
Data Scientist, Data Engineer*,
Machine Learning Engineer*,
Big Data Engineer*,
Data Architect
Data Mining Engineer*,
Data Visualization Specialist

*The term Engineer shall not carry or imply the meaning attributed to the term “Engineer” in Article 2 of the Engineering Profession Act (Chapter 321 of the Laws of Malta)

Entry Requirements

Internal Progression Route….
MCAST MQF level 4 Advanced Diploma in IT

OR

2 A-Level passes and 2 I-Level passes
Compulsory A-Level: Computing
AND
Compulsory A-Level or I-Level:Mathematics (Pure or Applied) OR Accounting OR Economics OR Marketing

(Note that as from Admissions 2026, Marketing will no longer be considered as one of the compulsory subejcts considered for entry into this Degree programme)

Other Important matters to be noted and considered:

Experience in a programming language (Python or similar) is considered essential.Applicants with a good working knowledge of Computing, Mathematics and Statistics will better benefit from a more fruitful learning experience throughout the courseInformation Technology at A or I Level (or similar) is not a substitute for the Compulsory Subject/s as shown in the Entry Requirements for this degree programme.