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Bachelor of Science (Honours) in Applied Data Sciences

IT6-A08-23 Institute of Information and Communication Technology

Programme of Study offered on Full Time basis as per MCAST Course Offering – Prospectus 2026/27
It is recommended that you visit How to Apply for further information regarding how to submit an online application, as well as important Frequently Asked Questions (FAQs).
MQF / EQF LevelLevel 6
Duration3 Years Full-Time
ECTS Credits180 ECTS Credits
Work Based Learning

Apprenticeship

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 Opportunities
  • 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 subjects as A-Level passes and 2 subjects as I-Level passes

Compulsory A-Level: Computing

AND

Compulsory A-Level or I-Level:Mathematics (Pure or Applied) OR Accounting OR Economics

Other notes related to this programme

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 course

Information 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.

An Applicant aged 23 years and over, and not in possession of the above Entry Requirements, may wish to apply via the Maturity Clause route.  Applicants under Maturity Clause must still present clear documentation showing that they have a number of achievements in hand together with their School Leaving formal Certificate / document (to confirm their successful completion of compulsory schooling).  Age is not the only eligibility factor in such instances.  Besides documents showing their past achievements, applicants must present a detailed CV using the Europass format, as well as the most recent official JobsPlus Employment History.

 

Further important information can be found under the respective Admissions FAQ https://mcast.edu.mt/maturity-clause/.  

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