Data Science and Analytics Munster Technological University

Overview

The demand for skilled professionals in Data Science has surged in recent years, driven by the exponential growth of data generation across various sectors. As organisations increasingly rely on data-driven decisions, the need for adept data analysts and scientists has become paramount. The Higher Diploma in Science in Data Science and Analytics (Hons) at Munster Technological University (MTU) is designed to meet this demand by equipping graduates with the necessary expertise to thrive in this dynamic field.

Syllabus

This programme, which is offered as a part-time, blended course, spans a duration of two years and is recognised at Level 8 on the National Framework of Qualifications. It is a collaborative effort between the Department of Mathematics and the Department of Computer Science, ensuring that the curriculum is both comprehensive and relevant to industry needs. The course is structured to develop core competencies in programming, statistical analysis, machine learning, and data visualisation, among other critical areas.

Students will engage in a variety of practical and theoretical modules that will enhance their understanding of data science principles. The curriculum includes mandatory modules such as:

• Intro to R for Data Science
• Data Science and Analytics
• Scientific Programming in Python
• Applied Statistics and Probability
• Data Management Systems
• Mathematical Methods and Modelling
• Regression Analysis
• Distributed Data Management
• Data Visualisation and Analytics
• Data Science Analytics Project

Additionally, students have the option to choose from electives like Time Series and PCA, and Machine Learning, allowing for a tailored educational experience that aligns with their career aspirations.

Throughout the programme, students will have the opportunity to apply their theoretical knowledge in practical settings, culminating in a capstone project that enables them to tackle real-world data challenges. This hands-on experience is crucial for developing problem-solving skills and gaining familiarity with industry-standard software and programming languages, including R, Python, SQL, and Tableau.

Moreover, students are required to attend on-campus assessments and examinations at MTU's Bishopstown Campus, ensuring a robust learning environment. The programme is designed to foster independent learning and critical thinking, preparing graduates for various roles in the data science domain.