Master of Science (MSc) in Data Analyticsdrafted

Program Overview

The MSc in Data Analytics at Dublin Business School equips students with expert knowledge in data analysis skills and techniques, including statistical analysis, AI, data visualization, and machine learning. The program's focus on both business and technical aspects prepares graduates for careers as Data Analysts, Data Scientists, and other data-driven roles in various industries. The program's structure includes foundational concepts, advanced skills, and an Applied Research Project, providing a comprehensive understanding of data analytics.

Program Outline

Master of Science (MSc) in Data Analytics at Dublin Business School:

Degree Overview:

• Focus: Responds to the growing demand for specialists with data science and analytics skills.
Applies across industries and helps students develop an understanding of new and existing technologies like statistical analysis, AI, data visualization, and machine learning.
• Objectives:
• Develop expert knowledge in current and emerging data analysis skills and techniques.
• Provide deep understanding of business and technical data analytics strategies.
• Facilitate application of data analytics skills in the workplace.
• Develop autonomous learning skills specific to analytics.
• Foster a deep understanding of current research and analysis in data analytics.
• Equip students with advanced methodological knowledge to address real-world problems in data analytics.
• Provide a platform for career development, innovation, and further study in data analytics.
• Address ethical considerations related to data analytics trends and challenges.

Outline:

• Content:
• Programming for Data Analysis
• Statistics for Data Analytics
• Machine Learning & Pattern Recognition
• Advanced Data and Network Mining
• Data Storage Solutions
• Data Visualisation
• Applied Research Methods
• Applied Research Project
• Structure:
• Full-time: 3 semesters (9 months), 12 weeks each
• Part-time: 4 semesters (18 months), 12 weeks each
• Semester 1: foundational concepts, programming, statistics, machine learning
• Semester 2: advanced skills, data mining, databases, storage, data visualization, statistical applications
• Semester 3: Applied Research Project
• Modules:
• Programming for Data Analysis:
Covers Python programming for data analysis tasks.
• Statistics for Data Analytics: Develops strong statistical knowledge for data analysis.
• Machine Learning & Pattern Recognition: Introduces machine learning concepts and applications.
• Advanced Data and Network Mining: Explores advanced data mining and network analysis techniques.
• Data Storage Solutions for Data Analytics: Examines data storage options for data analysis projects.
• Data Visualisation: Focuses on effective data visualization techniques and tools.
• Applied Research Methods: Develops research design and methodology skills for data analysis projects.

Careers:

• Opportunities: Data Analyst, Data Scientist, AI Manager, IT Manager, Data Analytics Manager in various industries.
• Diversity of jobs: Core industry roles (Data Analyst, Business Analyst), Advanced roles (Data Science, Software/Python developer)

Other:

• The program is undergoing programmatic review.
• Eligibility: Related science/technology/computing/business/finance degree (level 8, 2.2 or higher).
• Advanced entry: Not permitted.
• English proficiency required.
• Applicants with disabilities can apply but should consider future career suitability in this field.
• Supports available for students with disabilities.

The course fees for the next academic year are €8,995 for one year, and €5,500 per annum for two years for EU students. This covers the cost of tuition, registration and examinations. Click here to view international fees. Click here to view EU fees.