Springboard+ BSc (Hons) in Computing (Award Stage)

  • Overview
  • Course Content
  • Structure
  • Career Opportunities
  • Eligibility
  • Next Steps



**Courses have now started, we are no longer accepting applications.**


Click here to view Spring 2018 calendar. 

Dublin Business School, in conjunction with Springboard+, have developed a one year part-time Level 8 programme leading to a BSc (Hons) in  Computing (Award Stage) award.

This is the Digital Age and Computer Science lies at the heart of the Digital World.  Computer Professionals play an integral part in the shaping of the exciting digital world of today and will continue to play a key role in shaping the future world that you will work, play, communicate and live in. 

One of the most important aspects of computer science is problem solving; an essential skill for life.  When you develop knowledge and skills in these areas you will belong to a group of talented people, with highly sought-after qualifications and competencies.

Why study Computer Science?

The BSc (Hons) in Computing  (Award Stage) will prepare you for a career in a wide variety of sectors.  Computer Science qualifications are global, they have no boundaries. You will build skills, competence and knowledge in current technologies, gain practical work experience and specialise in Data Analytics and Big Data - a fast-growing area in the Computing sector.

The Digital Universe is growing at a phenomenal pace. Big Data comes from everywhere, posts to social media sites such as Facebook, Twitter and Snapchat, mobile phones GPS signals, your online footprint and many more.  As a result, there is a high demand for graduates in Data Analytics to support this rapidly growing phenomenon.

The BSc (Hons) in Computing (Award stage) will provide you with the technical skills to investigate large amounts of data to uncover hidden patterns, correlations and other insights. With these skills, you will analyse data and get answers from it almost immediately.  As a graduate of this discipline you will have a clear understanding of the practical and theoretical foundations of data analytics.  You will experience using current technologies for interpreting, analysing and visualising Big Data to solve problems involving big data sets.

Entry Requirements

This programme is aimed at those with an ICT Level 7 qualification such as Computing or Bachelor of Technology seeking to up-skill from a Level 7 to a Level 8, regardless of their employment status and whether or not in receipt of Social Welfare. Applications without this will be considered on the basis of approved prior experience and learning (RPL).


Course Content

The BSc (Hons) Computing (Award Stage) with Data Analytics and Big Data has the following content:

Distributed Systems
This module introduces students to the theory and practical aspects in the area of distributed systems. Students are encouraged to consider the suitability of a model, service or technique to deliver a distributed system in different circumstances. Students will be introduced to methods to control problems that naturally arise from distribution. It provides students with skills necessary to develop distributed applications and introduces the learner to cluster and grid computing.

Computer Security
Modern computing environments are particularly susceptible to the adverse threats of computer security issues such as malware, viruses and eavesdropping. This module will attempt to address these issues by providing detailed understanding of the threats to and vulnerabilities of modern computer systems and networks.

Data Mining and Analytics
Students will gain knowledge in the fundamental concepts in data science and business intelligence. Data Mining and Analytics involves processes and activities designed to obtain and extract useful information from available data stores.

Students will also gain an appreciation of how high quality data and discovering patterns is an essential component of a modern organisation and how enterprises now rely on their data assets to make informed and increasingly effective decisions.

Managing and Processing Big Data
This module is about scalable approaches to managing and processing large amounts of data (terabytes and petabytes). The module will focus on the entire ecosystem of Apache Hadoop tools and techniques encompassing the Big Data paradigm which is the most accessible and practical means of computing at this scale but will discuss alternatives. Hadoop is built on well known principles in functional programming and distributed computing.

The project is a capstone module providing learners with the opportunity to integrate accumulated learning and apply a range of techniques to deliver a computing artefact. The project will involve the analysis of a substantive issue or opportunity and subsequently the production of a solution. The project will be related, where possible, to their work placement and relevant to the final year electives. It is envisaged that the learner will produce a useful artefact, with significant challenges and depth that will enhance the learners’ future job prospects.

Teaching and Assessment

Throughout the programme, learners will experience a varied range of teaching and learning strategies. Modules will be delivered through a mix of lectures and hands on lab sessions, with tutorials in place to support where necessary. Emphasis will be placed on practical skills by allowing the students to examine problem descriptions and try possible solutions in lab scenarios. This teaching approach is reflected in the assessment of modules with a mixture of individual projects, lab based exams, group assignments, continuous assessments, reflective reports and group project work. These assessments will also be accompanied by end of year examinations.

DBS Employability Pillar

In line with the DBS philosophy of ensuring its graduates have a suite of knowledge, skills and competence that make them readily employable, the programme contains an Employability Pillar of modules that complement the programme specific modules. This pillar of modules ensures students are aware of employer expectations on graduating, enhances their communication skills and time management while positioning the student for academic development during the course of their degree studies.

Year 1

Learning to Learn

Communication For Personal Success

Communication For Personal Success

The DBS Employability Pillar, will demonstrate an awareness of transferable skills and their applicability in ‘real-life’ situations, projects undertaken and how they are applied in different circumstances so that students can take ownership of your own career management. Students will be able to develop realistic career plans and initiate and sustain professional networks and relationships to encourage opportunities for employment and internships. Students will present themselves and their skills, attributes, experiences and qualifications, through effective job applications, CVs, interviews and voluntary activities. This will enable students to develop the necessary skills to compete effectively for a broad range of employment, postgraduate study options and innovative opportunities available to them and further develop lifelong learning and continuous professional development.



The course duration is one Academic Year. Typically students attend classes on two evenings per week.


Career Opportunities


The BSc (Hons) in Computing (Data Analytics and Big Data) is intended to position graduates for recruitment into positions in the areas of:

·        Data Administrator

·         Data Analyst

·         Database Engineer

·         Database Support Engineer

·         Systems Engineer

·         Big Data Engineer

·         Data Architect

·         Business Intelligence Analyst

·         Database Developer

·         SQL Database Administrator

·         NoSQL DB Administrator

·         MySQL DB Administrator

·         SQL Analyst

·         Data Warehouse Engineer



There is no requirement to be in receipt of Social Welfare payments to apply for this programme and applicants can be employed or unemployed to apply for this part-time programme.

Please note the following new eligibility terms which apply to all 2017 applicants:

  • Those who have completed a Springboard+ course within the past two years (i.e. graduated from a 2015 or 2016 Springboard+ call course ) are not eligible to apply in 2017 (unless the participant is seeking to progress their qualification level in the same discipline, e.g. level 7 to level 8). 

  • Participants who enrolled in more than one Springboard+ course since the inception of Springboard in 2011, and did not complete any course, are not eligible to apply in 2017. 

  • Participants who enrolled in just one course, since the inception of Springboard+ in 2011, but did not complete, are eligible to apply in 2017, but will be required to meet all eligibility criteria as outlined below.

Full details of eligibility criteria are available under the ‘Am I eligible’ section on the Springboard+ website www.springboardcourses.ie

Apply online via the Springboard portal.

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. The process is implemented within the relevant school, by the relevant Head of School/Department or nominee, and is overseen by The Registrar. 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.



Next Steps 

Apply online via the Springboard portal here.



  • Part-Time
  • Information Technology
  • FREE Springboard+ Programmes
  • FREE ICT Skills Programmes

Course overview


Awarding Body:
Quality & Qualifications Ireland (QQI)
1 Academic Year
Study Mode: 
Course Commencement Date: 
W/C March 20th 2018
Award Level: 
Level 8 Major Award
ECTS Credits:


  • Download brochure
  • Contact

    We are now accepting applications for programmes taking place in 2018. Contact our admissions team for more information

    Email: admissions@dbs.ie
    Phone: 01 417 7500
    Opening times:
    Monday to Friday: 8:45am to 5:15pm