Program Overview

Master of Science in Computing in Applied Data Science & Analytics

Overview

The Master of Science in Computing in Applied Data Science & Analytics is a part-time, online program designed to accelerate careers in data science while fitting with a busy schedule. The program has gained a significant reputation for its high quality, practical approach, and relevance to industry contexts.

Key Points

• Geared towards professionals
• High completion rates
• High likelihood of peer-reviewed publications from course work
• International network of students
• Alumni network working in senior data science roles

Course Content

Year 1 Semester 1

• Business Intelligence
• Data Mining Algorithms

Year 1 Semester 2

• Data Pre-processing and Exploration
• Data Science Applications

Year 2 Semester 3 (Electives)

• Text Mining and Web Content Mining
• Geospatial Data Mining and Knowledge Discovery
• Programming for Big Data
• Statistics
• Multimedia Mining

Year 2 Semester 4

• MSc Research Project

Schedule

• Online Year 1: Tuesday and Wednesday 6pm-9pm
• Online Year 2: Monday and Wednesday 6pm-9pm

Admission Criteria

• Minimum entry requirement: Second Class Honours Grade 2 (GPA 2.5 or equivalent) in a NFQ Level 8 Degree in Computing, Science, Engineering, Business with IT, or equivalent qualification.
• Acceptance of candidates with Third Class Honours degrees and appropriate work experience and industrial certification will be considered.

Application Requirements

• Curriculum Vitae
• Copy of level 8 award, transcripts for each year showing modules studied and classification of the award.
• Answers to five questions relating to experience in working with data, statistics, interest in the course, etc.
• Evidence of English language proficiency (minimum IELTS 6.5 overall or equivalent).

Tuition Fees

• €4,250 Per Year
• €8,500 Total Fee

Career Opportunities

• Graduates are equipped for employment in sectors where data analysis is a critical component, such as insurance, retail, pharmaceutical, biotechnology, business, travel, telecommunication, government, and intelligence sectors.
• Former students have taken up data analytics jobs with Accenture, SAP, FBD Insurance, Deutsche Bank, IBM, Eircom, Emirate airlines, and PayPal, among others.