MSc in Computer Science (Data Science) draft

Program Overview

The MSc in Computer Science (Data Science) empowers graduates with the skills to analyze and interpret vast data sets. With flexible study options and a wide range of specialist and option modules, students can tailor their studies to specific career aspirations in the high-demand field of data science.

Program Outline

Degree Overview:

The MSc in Computer Science (Data Science) course aims to produce graduates with the knowledge and skills to work with large amounts of raw data and extract meaningful insights from it. Graduates are equipped with deep technical skills (in data management, data mining, probability and statistics, and machine learning), but also with the softer skills (in communications, research and problem solving) required to work effectively within organisations.

Outline:

Specialist Core Modules:

• Probability & Statistical Inference
• Machine Learning
• Working with Data
• Data Management
• Data Mining
• Data Visualisation

Critical Skills Core Modules:

• Research Writing & Scientific Literature
• Research Methods and Proposal Writing
• Universal Design
• Problem Solving, Communication and Innovation
• Social Network Analysis
• User Experience Design
• Deep Learning
• Speech & Audio Processing
Students can also take specialist core modules from the Advanced Software Development stream as option modules, subject to availability and schedules.

Schedule:

Students have the option to complete modules in 1 Year or 1.5 Years Teaching hours will take place Monday to Friday. Attendance in the evening is required for some modules. In general students complete 30 ECTS in Semester 1 (Sept-Jan), 30 in Semester 2 (Feb-May) and 30 in Semester 3 (Sept-Jan) for the dissertation or Team Project. Option to complete the dissertation over the summer period, allowing completion in a 12-month period (Sept to Sept calendar year)

Careers:

Data Science has been highlighted in a range of recent reports as an area of strategic importance both nationally and internationally. Areas in which opportunities for data analytics practitioners exist include retail, financial services, telecommunications, health, and government organisations.

Other:

Students can choose to exit with a Postgraduate Certificate on completion of 30 ECTS or a Postgraduate Diploma on completion of 60 ECTS. Students who wish to complete the MSc dissertation or Team Project to achieve the MSc award will be eligible to do so on successful completion of all core modules and the achievement of an average grade of at least 50% over all core modules.

€5,600 Total Fee Fees (Non-EU) €21,750 Total Fee