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Students
Tuition Fee
EUR 6,350
Per year
Start Date
Medium of studying
On campus
Duration
48 months
Program Facts
Program Details
Degree
Bachelors
Major
Data Analysis | Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 6,350
About Program

Program Overview


BSc (Hons) Computing (Data Analytics & Big Data)

CAO Code: DB502

Overview

This is the Digital Age and Computer Science lies at the heart of the Digital World. Computer Science 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.


Computer Science provides you with expertise in a variety of exciting disciplines such as programming, networking, analytics, and cloud computing. One of the most important aspect 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.


Computer Science qualifications are global as they have no boundaries. A degree in computing will provide you with the opportunity to work in in a wide variety of sectors for companies at home and abroad. Future opportunities in computing are varied and with a computing degree your future in a creative, innovative industry is assured.


An exciting feature of this programme is that it incorporates work placement. This provides you with the opportunity to build practical skills in industry and gain ‘real-world’ experience that will provide you with a smooth transition to the workplace upon graduation.


The BSc (Hons) in Computing (Data Analytics & Big Data) will prepare you for a career in a wide variety of sectors. You will build skills, competence and knowledge in current technologies, gain practical work experience and specialise in Data Analytics - a fast-growing area in the Computing sector.


Data Analytics

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 (Data Analytics & Big Data) 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.


Delivery

All learners are expected to attend in person in class.


Categories:


  • International
  • Information Technology
  • Full-time Degrees/ Certificates
  • Full-Time
  • Business & Management
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Course overview

Awarding Body:Quality & Qualifications Ireland (QQI)


Award: Honours Bachelor Degree**
NFQ Level: Level 8Award Title:
BSc (Hons) ComputingAward Type: MajorDuration: 4 YearsCAO Code: DB500, DB501, DB502Next Intake:**
September 2025


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We are now accepting applications for programmes taking place in 2025. Contact our Admissions Team for further information.


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BSc (Hons) Computing (Software Development)

CAO Code: DB503

Overview

The Bachelor of Science (Hons) in Computing (Software Development) programme aims to provide the academic knowledge and practical skills needed for a foundational computing qualification with specialisation in the area of software development. The programme focuses on theoretical knowledge and practical skills in core areas such software development, database technology, computer networking, operating systems, computer security and web technologies while also offering applied skills in contemporary topics such as processing big data, cloud platform development and problem solving and algorithms.


Programme Objectives

The specific aims of the programme are to:


  • Provide learners with the underpinning academic knowledge to enhance their educational and employment opportunities and provide computing skills that will be of lasting value in the dynamic field of computing.
  • Guide the learner through a programme of study, which allows them to develop an understanding of the theory and practical applications of the essential computing disciplines.
  • Provide the learner with an overall grounding in computing in order to lead to a variety of pathways in this discipline.
  • Develop in learners a methodical and rational approach to problem solving and decision making, with the capability to apply acquired knowledge and skills to practical business situations.
  • Provide learners with a substantial opportunity to apply learned knowledge and skills in a business environment and to reflect on the relevance of prior learning to the real world of work via a work placement in an IT role.
  • Develop in learners a range of intellectual skills, encompassing team work, reasoning and evaluative skills, reporting, presentation and communication skills that develop as fully as possible their interpersonal abilities.
  • Supervise the full-time learner in carrying out a capstone project, gaining experience in the research, formulation, implementation and evaluation of a problem and its solution.
  • Help address the ICT national skills shortages by providing honours degree graduates with the necessary skills to begin to work effectively in a variety of IT roles, or progress to further study in their chosen area.

Delivery

All learners are expected to attend in person in class.


Course Content

The Bachelor of Science (Hons) in Computing (Software Development) has the following content:


  • Year 1
    • Introduction to Cloud Computing
    • Information and Communications Technology Essentials
    • Programming Fundamentals
    • Mathematics and Statistics for Computing
    • Fundamentals of Information Systems
    • Computer Architecture
    • Introduction to Web Development
    • Logic & Problem Solving
  • Year 2
    • Software Engineering
    • Web Development
    • Object-Oriented Programming
    • Algorithms and Data Structures
    • Data Communications & Networks
    • Database Systems
    • IT Project Management
    • Operating Systems
  • Year 3
    • Advanced Web Development
    • Foundations in Data Science
    • Systems Analysis & Design
    • Work Placement
  • Year 4
    • Cyber Security
    • Mobile and Social Computing
    • Cloud Platform Development
    • Project

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. While modules will be delivered through a mix of lectures, workshops, tutorials, and practical sessions, teaching and learning will focus on the learner applying problem-solving skills and undertaking critical reflection and critique of case studies.


Structure

It’s a full-time four year programme delivered across 8 semesters comprised of twelve weeks each. It is also offered as a part-time five year programme comprised of ten semesters of twelve weeks each.


Career Opportunities

Computer Science qualifications are global as they have no boundaries. A degree in computing will provide you with the opportunity to work in in a wide variety of sectors for companies at home and abroad. Future opportunities in computing are varied and with a computing degree your future in a creative, innovative industry is assured.


Fees

The fees for Full-time BSc (Hons) Computing (Software Development) are €6,350 per annum for EU students.


Next Steps

Before making an application please ensure you are aware of all entry requirements.


BSc (Hons) Computing

CAO Code: DB500

Overview

This is the Digital Age and Computer science lies at the heart of the Digital World. Computer Science 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.


Why study Computer Science?

Computer Science qualifications are global as they have no boundaries. A degree in Computing will provide you with the opportunity to work in in a wide variety of sectors for companies at home and abroad. Future opportunities in computing are varied and with a computing degree your future in a creative, innovative industry is assured.


Aims & Objectives

  • Display knowledge of hardware devices, software development, programming languages and communication mechanisms currently in use in a computing environment.
  • Exhibit detailed knowledge and understanding of the nature of relevant theories, techniques, process and tools specifically available to professionals in the discipline of computing.
  • Demonstrate knowledge and use of a range of fundamental computing methods and tools, and acquire related skills in emerging tools, trends and technologies with respect to computing.
  • Apply analytical problem solving skills to solve complex problems through the use of suitable research and implementing standard techniques.
  • Demonstrate comprehension of the trade-off involved in design choice, using appropriate skills diagnostics to display knowledge and understanding related to the implementation of computer-based systems.
  • Work effectively both as an individual, and as a member of a development team.
  • Be guided by the personal and professional requirement to identify knowledge gaps, undertake self-learning and lifelong learning to supplement existing skillsets.

Delivery

All learners are expected to attend in person in class.


Course Content

The BSc (Hons) in Computing has the following content:


  • Year 1
    • Computer Architecture
    • Fundamentals of Information Systems
    • Information and Communication Technology Essentials
    • Introduction to Cloud Computing
    • Introduction to Web Development
    • Logic & Problem Solving
    • Mathematics and Statistics for Computing
    • Programming Fundamentals
  • Year 2
    • Algorithms and Data Structures
    • Data Communications & Networks
    • Database Systems
    • IT Project Management
    • Object-Oriented Programming
    • Operating Systems
    • Software Engineering
    • Web Development
  • Year 3
    • Advanced Web Development
    • Foundations in Data Science
    • Systems Analysis & Design
    • Work Placement / Project
  • Year 4 (Core Modules)
    • Cyber Security
    • Project
  • Year 4 (Elective Modules)
    • Data Analytics Stream
      • Data Mining & Big Data Analytics
      • Big Data: Achieving Scale
    • Software Development Stream
      • Mobile and Social Computing
      • Cloud Platform Development

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.


Structure

This four year, full-time course is divided into eight mandatory modules in year 1 and eight mandatory modules in year 2. In year 3, students will undertake three taught modules before undertaking a 10 week work placement. In year 4, students will undertake a mandatory module and two elective modules, before undertaking a capstone project.


Career Opportunities

Graduates will be equipped with the skills and knowledge that make them highly attractive to potential employers.


Fees

The fees for Full-time BSc (Hons) Computing are €6,350 per annum for EU students.


Next Steps

Before making an application please ensure you are aware of all entry requirements.


Program Outline

BSc (Hons) in Computing (Data Analytics) - Full Extraction:


Degree Overview:


Overview:

This four-year program aims to equip students with the necessary academic knowledge and practical skills for a career in data analytics. It focuses on theoretical knowledge and practical skills in core areas such as software development, database technology, computer networking, operating systems, computer security and web technologies. It also offers applied skills in contemporary topics like processing big data, cloud platform development, problem solving, and algorithms.


Objectives:

  • Provide a critical understanding of core computing concepts and practices, alongside enterprise ICT design, development, and management aspects.
  • Enhance the practical, transversal, vocational and soft skills of learners to ensure their success in the corporate environment.
  • Equip students with a substantial opportunity to apply learned knowledge and skills in a business environment via a work placement in an IT role.
  • Develop in students a range of intellectual skills, encompassing teamwork, reasoning and evaluative skills, reporting, presentation and communication abilities.
  • Support the completion of a capstone project, gaining experience in research, formulation, implementation, and evaluation of a problem and its solution.
  • Address national IT skills shortages by providing honours degree graduates with the necessary skills to begin working effectively in a variety of roles, or progress to further study in their chosen area.

Other:

  • This program incorporates a 10-week work placement in year 3.
  • Graduates are highly attractive to potential employers due to their work experience and industry-relevant skills.

Outline:


Year 1:

  • Introduction to Cloud Computing
  • Information and Communications Technology Essentials
  • Programming Fundamentals
  • Mathematics and Statistics for Computing
  • Fundamentals of Information Systems
  • Computer Architecture
  • Introduction to Web Development
  • Logic & Problem Solving

Year 2:

  • Algorithms and Data Structures
  • Data Communications & Networks
  • Database Systems
  • IT Project Management
  • Object-Orientated Programming
  • Operating Systems
  • Software Engineering
  • Web Development

Year 3:

  • Advanced Web Development
  • Foundations in Data Science
  • Systems Analysis & Design
  • Work Placement / Project

Year 4:

  • Big Data: Achieving Scale
  • Cyber Security
  • Project
  • Data Mining & Big Data Analytics (Data Analytics Stream)
  • Mobile and Social Computing (Software Development Stream)
  • Cloud Platform Development (Software Development Stream)

Assessment:

The program uses a variety of assessment methods, including:

  • Individual projects
  • Lab-based exams
  • Group assignments
  • Continuous assessments
  • Reflective reports
  • Group project work
  • End-of-year examinations

Teaching:

  • Teaching and learning strategies include lectures, hands-on lab sessions, and tutorials.
  • Emphasis is placed on practical skills through problem examination and solution attempts in lab scenarios.
  • The teaching approach aligns with the assessment methods used.

Careers:

Graduates of the BSc (Hons) in Computing (Data Analytics) are well-positioned for a variety of career opportunities in data analytics, with the program preparing them for roles such as:

  • 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

Additional Information:

  • This program is offered in both full-time and part-time modes.
  • The part-time mode takes five years to complete.
  • The program emphasizes developing transferable skills across all modules, including teamwork, troubleshooting, communication, problem-solving, reflective thinking, and analytical reasoning.
  • The work placement is crucial for gaining authentic industry experience and enhancing employability.
  • The DBS Employer Liaison Officer assists with finding relevant and meaningful work placements for students.
  • Graduates are well-prepared for the growing demand for data analytics skills.
  • The program offers a comprehensive and rigorous education in data analysis, equipping graduates with the necessary knowledge and practical skills for success in this rapidly growing field.
  • ## Summary: The BSc (Hons) in Computing (Data Analytics) at Dublin Business School is a comprehensive and rigorous program that prepares students for successful careers in the field of data analytics. The program combines strong academic foundations with practical experience through work placements and industry-aligned projects. Graduates of the program are highly sought after by employers and are well-equipped to contribute significantly to the growing field of data analysis.

The fees for Full-time BSc (Hons) Computing are €6,300 per annum for EU students

Click here to view international fees.

Click here to view EU fees.

Fees quoted cover the annual cost of tuition, registration and examinations and are EU fees only.Non-EU students please refer to the International section of the website.Please note also that tax relief is available on fees for Irish income tax payers at the standard rate of 20% on all fees exceeding €3,000 and up to €7,000.

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