Higher Diploma in Science in Data Analytics | Part-time
| Program start date | Application deadline |
| 2025-03-01 | - |
Program Overview
Higher Diploma in Science in Data Analytics | Part-time
Overview
The Higher Diploma in Science in Data Analytics provides the practical knowledge and skills in the area of computing and data science for learners who wish to upskill or reskill in this area. The programme aims to develop learners' knowledge of the theory and practice of Data Analytics necessary for them to secure employment and perform as graduate level ICT /Data Analytical practitioners in a broad range of commercial, industrial and public sector environments. Learners will benefit from theoretical knowledge fundamental to apply advanced analytics in web and business application, predictive modelling, statistics, programming, machine learning, and advanced visualisation to data sets through a variety of tools and techniques in order to generate actionable insights for stakeholders and support strategic decision making.
Objectives
- Develop learner’s criticality in order to analyse industry trends in Big Data.
- Develop learners who are capable of performing robust, significant reports on the future orientation of the field of data analytics with specific emphasis on the problem domain.
- Provide learners with a platform to develop the requisite technical and design skills required by industry and to deepen knowledge of statistical analysis and analytical models.
- Enable learners to implement scalable Big Data applications.
- Prepare learners to work effectively and collaboratively in the execution of common goals.
- Provide work opportunities where learners can apply knowledge to a real-world situation.
Teaching and Assessment
This variety of learning approaches noted above can be offered including face-to-face, live online, recorded online, and directed e-learning. The experiential and practical nature of the programme is reflected in the most common learning approach in the program being lab-based lecturers and tutorials, together with classroom-based lecturers and tutorials.
Assessment will reflect the applied nature of the programme and will include a combination of ‘take-home’ assignments, skills-based assessments, practical lab tasks, projects, demonstrations and presentations in addition to conventional examinations.
Entry Requirements
- A level 8 primary undergraduate honours degree with a minimum Pass classification from a recognised third level institution in a non-cognate area and ideally be able to demonstrate mathematical problem solving skills as part of previous programme learning i.e. maths at Leaving Certificate level would suffice.
- OR
- A minimum Level 7 Ordinary Bachelor's degree in a cognate area such as computer science, technology, networking, information systems, engineering, general science, mathematics, statistics, data science.
- OR
- Applicants who do not have a Level 8 qualification and who have at least 3 years work experience may also be considered through the college's normal RPL procedures. Relevant professional experience may be taken into account and individuals will be assessed on a case by case basis through DBS RPL procedures.
Recognition of Prior Learning (RPL)
Learners may also access this course on the basis of recognition of prior learning or by assessment of prior experiential learning/informal learning. For this particular programme applicants will be considered on a case by case basis based upon their educational record, work experience, their ability to demonstrate technical or mathematical problem solving skills and a capacity to successfully participate in the programme.
Course Content
The Higher Diploma in Science in Data Analytics has the following content:
- Advanced Analytics and Web Application
- Applied Data Analytics
- Big Data Managing and Processing
- Data and Network Mining
- Data Visualisation & Communications
- Databases for Business Applications
- Platforms for Data Analytics
- Programming for Data Analytics
- Project
- Statistics for Data Analytics
Structure
The Higher Diploma in Science in Data Analytics is a two year part-time programme.
Semester one lays the groundwork for the programme and encompasses mostly foundational modules that focus on providing a solid and comprehensive understanding of the relevant concepts, a proficiency in the use of programming for data analytics and Statistics for Data Analytics and Databases and Business Application.
Semester two builds on this by covering advanced modules in which the knowledge, understanding and skills acquired in the first semester can be employed. Semester two also comprises an elective module of project or placement module, which focuses on applied skills.
The programme delivery is part-time and will run over 2 academic years, 2 evenings per week from 6:15pm to 9:30pm and some weekends. This course will run wholly online and classes will be recorded.
Career Opportunities
As the ICT sector continues to grow so too does the demand for skilled personnel in this area. A target of delivering more than 47,000 graduates with high level ICT skills by 2022 has been set by the Government to meet Ireland's need for graduates in computing, electronic and electrical engineering.
Roles types that may be suitable for graduates include:
- Senior Data Analyst
- Data Engineering and Analytics
- Financial Analyst
- Power BI Data Analyst
- Consulting: Data Analyst
- Lead Business Analyst
Eligibility
For information on eligibility and funding eligibility requirements, visit the Springboard+ website.
Application Procedures
The application procedures are in 2 stages. First, DBS will contact you in relation to collecting your academic documents to ensure you meet the minimum entry requirements of the programme you have applied for. Then, closer to course commencement, we will contact you again in relation to information on the uploading of the required documentation in order to ensure you meet the Springboard+ Eligibility Criteria.
Award Details
- Awarding Body: Quality & Qualifications Ireland (QQI)
- Duration: 2 Academic Years
- Study Mode: Part-time: 2 evenings per week and Saturdays
- Award Level: Level 8 NFQ
- Award Type: Major
- ECTS Credits: 60
- 10% Contribution Fee (If applicable): €725
- Next Intake: March 2025
Program Outline
The Higher Diploma in Science in Data Analytics has the following content:
-
Advanced Analytics and Web Application
-
Applied Data Analytics
-
Big Data Managing and Processing
-
Data and Network Mining
-
Data Visualisation & Communications
-
Databases for Business Applications
-
Platforms for Data Analytics
-
Programming for Data Analytics
-
Project
-
Statistics for Data Analytics
Structure
The Higher Diploma in Science in Data Analytics is a two year part-time programme. Semester one lays the groundwork for the programme and encompasses mostly foundational modules that focus on providing a solid and comprehensive understanding of the relevant concepts, a proficiency in the use of programming for data analytics and Statistics for Data Analytics and Databases and Business Application. Semester two builds on this by covering advanced modules in which the knowledge, understanding and skills acquired in the first semester can be employed. Semester two also comprises an elective module of project or placement module, which focuses on applied skills.
Career Opportunities
As the ICT sector continues to grow so too does the demand for skilled personnel in this area.A target of delivering more than 47,000 graduates with high level ICT skills by 2022 has been set by the Government to meet Ireland's need for graduates in computing, electronic and electrical engineering. Technology Skills 2022, Ireland's third ICT Skills Action Plan was launched in February 2020 by Minister for Education and Skills Joe McHugh and Minister for Business, Enterprise and Innovation Heather Humphreys. Roles types that may be suitable for graduates include:
-
Senior Data Analyst
-
Data Engineering and Analytics
-
Financial Analyst
-
Power BI Data Analyst
-
Consulting: Data Analyst
-
Lead Business Analyst
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 procedures and criteria for the programme including procedures recognition of prior learning. The minimum entry requirements for the Higher Diploma in Science in Data Analytics are:
• A level 8 primary undergraduate honours degree with a minimum Pass classification from a recognised third level institution in a non-cognate area and ideally be able to demonstrate mathematical problem solving skills as part of previous programme learning i.e. maths at Leaving Certificate level would suffice.
OR
• Architecture A minimum Level 7 Ordinary Bachelor's degree in a cognate area such as computer science, technology, networking, information systems, engineering, general science, mathematics, statistics, data science.
OR
• Applicants who do not have a Level 8 qualification and who have at least 3 years work experience may also be considered through the college's normal RPL procedures. Relevant professional experience may be taken into account and individuals will be assessed on a case by case basis through DBS RPL procedures.
