| Program start date | Application deadline |
| 2024-04-01 | - |
| 2024-09-01 | - |
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.
Dublin Business School: A Summarization
Overview:
Dublin Business School (DBS) is an independent college located in the heart of Dublin, Ireland. It is part of Kaplan Inc., a global provider of education services. DBS has a strong reputation for its quality of teaching and its commitment to providing a positive learning experience.
Services Offered:
DBS offers a wide range of services to its students, including:
Academic Programs:
Full-time and part-time degrees, certificates, diplomas, postgraduate programs, professional accountancy programs, and online courses.Student Support:
Academic support, career advice, personal attention, disability support, and student welfare services.Campus Life:
Sports clubs, societies, student events, and a thriving student community.Library Resources:
Access to a vast collection of print and online books, journals, and databases.Virtual Learning Environment:
Moodle platform for lecture notes, support materials, and online learning resources.Student Life and Campus Experience:
DBS provides a vibrant and supportive campus environment. Students have the opportunity to join sports clubs and societies, participate in student events, and connect with a diverse student community. The college is located in the heart of Dublin, offering easy access to the city's cultural attractions, entertainment venues, and employment opportunities.
Key Reasons to Study There:
Ladder of Opportunity:
DBS offers a flexible range of programs that allow students to progress their careers.City Centre Location:
The college is situated in the heart of Dublin, providing a dynamic and convenient learning environment.Student Support:
DBS provides comprehensive support services to ensure students succeed academically and personally.World-Class Teaching:
The college has a strong reputation for its high-quality teaching and commitment to student learning.Academic Programs:
DBS offers a wide range of academic programs across various disciplines, including:
Business & Management:
Accounting & Finance, Marketing & Event Management, Business & Management, Professional Accountancy.Arts:
Psychology & Social Science, Counselling and Psychotherapy, Media & Journalism.Information Technology:
Computing, Data Analytics, Fintech.Law:
Law.Other:
DBS is recognized and accredited by Quality & Qualifications Ireland (QQI). The college also offers free and partially funded Springboard+ and HCI courses in various fields, including Business and Digital, Computing, Analytics, Fund Accounting, and Fintech.
Entry Requirements:
For EU/Irish students:
- A Level 8 honours bachelor's degree with a minimum second-class second-division (2.2) award or above in a cognate area. Cognate subjects include computer science, data science, technology, networking, information systems, engineering, general science, mathematics, statistics, data analytics or related discipline.
- A Level 8 Higher Diploma within a minimum 2.2 or above in a cognate area. Cognate subjects include computer science, data science, technology, networking, information systems, engineering, general science, mathematics, statistics, data analytics or related discipline.
- A Level 8 honours bachelor's degree with a minimum 2.2 or above in a non-cognate area plus 3-5 years' professional experience in a related field. Learners can also access this programme through RPL. Such applicants will be assessed on a case-by-case basis.
For International students (non-EU):
- Due to the mathematical nature of the content, candidates will be required to show sufficient competency in mathematics, based on prior learning or professional experience.
- This can be further defined as a module of mathematics/mathematics and statistics equivalent to a minimum of 10 ECTS in their primary degree.
- This knowledge/qualification should be acquired within the last ten years from the date of qualification.
- In addition, for applicants whose first language is not English and who have not undertaken their undergraduate degree through English the following is required: *The minimum requirement for a non-native English speaker is greater or equal to B2+ in the Common European Framework of Reference for Languages for Admission.
