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Software Engineering (Dip)

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Course Overview

This fully online diploma provides a focused programme of study in the area of software design and development, providing an insight into technical skills and modern industry techniques. Computer programming and design are taught in the diploma, as well as a number of important software engineering methodologies.

Mode of Study: Online Learning - please visit our Online Learning webpage for further details on what is required to be an online learner.

You may also be interested in one of our other Computer Science and Software Engineering postgraduate programmes. 

Applications and Selections

Applications open from 1st April 2023.

Applications are made online via the University of Galway Applications System. This course is listed under Adult Learning & CPD Courses Application.

Please visit our How to Apply page for Application tips and Supporting Documents information. Software Engineering students are required to submit a current Curriculum Vitae along with other supporting documentation in their application.



Who Teaches this Course

Requirements and Assessment

This course is delivered entirely using online learning technology so students can study when and where they want according to a paced learning cycle. Course materials are easy to follow and are accompanied by continuous assessment exercises, research/review questions and recommended course textbooks. Modules are delivered one at a time, over an eight-week period via asynchronous online technologies using web-supported learning.

The programme facilitators provide a recommended outline of study for each of the eight-week modules to ensure students keep on track. Each module is individually assessed by online examinations and assignments. All assessments and examinations take place within the eight-week period.

There are no live teaching sessions, rather set tasks to be completed by specified days of the week, removing the requirement to be online at any particular time. Support will be provided to students to help them become familiar with the online learning environment. The assessments take the form of weekly online discussions and assignments, and a final online examination at the end of each eight-week module.

Key Facts

Entry Requirements

You are eligible to apply if you have a 3rd level qualification of Level 7 or higher on the National Framework of Qualifications - NFQ.  A qualification from any discipline is acceptable since this is a conversion course and it begins with the basics.  2-3 years of experience (in any field) improves your chances of being accepted.  Good computer skills and an interest in software knowledge are required prerequisites before starting an IT Online course.  An IELTS score of 6.5 or equivalent international qualification will be required, if applicable.  If you have an international qualification you can compare your qualifications to the Irish system, please refer to Academic Entry Requirements

The following website may also be consulted for further information: Recognition of foreign qualifications

Applicants who do not satisfy these academic entry requirements can apply for this course through Recognition of Prior Learning (RPL), follow this FAQ FAQ RPL for assistance.‌


Additional Requirements

Duration

1 year, part-time online

Next start date

September 2023

A Level Grades ()

Average intake

45

QQI/FET FETAC Entry Routes

Closing Date

July 2023

NFQ level

8

Mode of study

Online Learning

ECTS weighting

30

Award

Diploma in Software Engineering, University of Galway

CAO

Course code

DIP-DSE

Course Outline

Timetable 2023/24

This course is part-time and runs over one year. You will study one online module every eight weeks. Modules include:

  • Computer Architecture and Operating Systems [CORE]
  • Fundamentals of Programming [CORE]
  • Software Engineering [CORE]
  • Object Oriented Programming [CORE]
  • Object Oriented Design
  • Distributed Systems and the Cloud
  • Artificial Intelligence

CORE modules are those which you must take. All other modules are electives and you must choose one.

Curriculum Information

Curriculum information relates to the current academic year (in most cases).
Course and module offerings and details may be subject to change.

Glossary of Terms

Credits
You must earn a defined number of credits (aka ECTS) to complete each year of your course. You do this by taking all of its required modules as well as the correct number of optional modules to obtain that year's total number of credits.
Module
An examinable portion of a subject or course, for which you attend lectures and/or tutorials and carry out assignments. E.g. Algebra and Calculus could be modules within the subject Mathematics. Each module has a unique module code eg. MA140.
Optional
A module you may choose to study.
Required
A module that you must study if you choose this course (or subject).
Semester
Most courses have 2 semesters (aka terms) per year.

Year 1 (30 Credits)

Optional CT618: Object Oriented Design


15 months long | Credits: 5

This module will build on the knowledge acquired by students in their software engineering module, and provide a comprehensive introduction to the field of Object Oriented Design and the Unified Modelling Language (UML). Students will be introduced to the various object oriented analysis and design techniques which have developed over time, and will learn the industry-standard notation, UML (Unified Modelling Language). This industry standard notation is covered from its original inception, through its various constituent models, and on to its practical use in systems development (Note: this module is based on UML2, the latest version of the UML notation, approved in 2004). The application of UML is explored from analysis through design and on to final system implementation, highlighting the strengths of object orientation as an approach to systems development where the one notation is used throughout. Students will develop object oriented analysis and design models using Computer Aided Software Engineering (CASE) tools, similar to those developed in the software engineering module. The challenges of progressing seamlessly from system inception, through analysis, solution design and technical implementation will be addressed, while maintaining a focus on the delivery of a quality system within timescale and budget.
(Language of instruction: English)

Learning Outcomes
  1. Discuss and explain general concepts related to Object Orientation and particularly Object Oriented Analysis and Design
  2. Gather a clear set of requirements from clients for a software system
  3. Analyse a business’ requirements, and develop an object oriented domain model from those requirements, clearly identifying the domain classes
  4. Progress from the domain model to an object oriented application model for those requirements, clearly identifying the application artefacts required
  5. Evaluate the potential for reuse in the design of a system solution: from patterns to commercially available components
  6. Produce an object oriented design model for the proposed system solution
  7. Prepare relevant UML implementation models for this system solution
  8. Evaluate issues related to the implementation of the proposed system wrt resource usage, security, maintenance and performance
  9. Compare the Unified Process with agile process approaches
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Department-based Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module CT618: "Object Oriented Design" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional CT619: Object Oriented Programming


15 months long | Credits: 5

Object-Oriented Programming, provides detailed coverage of Object-Oriented (OO) programming principles. It focuses on programming in Java, an OO language that is modern, vendor-independent, and widely used in industry. Recognising that programming requires skill as well as knowledge, this module places emphasis on the practical aspects of developing significant Java programs using a professional development environment. Students also gain practical experience of program design, testing, and debugging. Specifically in this module, students learn how to model objects in software, define classes describing categories of objects, and make appropriate use of concepts such as inheritance, composition, encapsulation, polymorphism, abstract classes, and interfaces. As well as learning basic Java syntax and how to express OO concepts in Java, practical topics such as applets, graphics, data storage, multi-threaded programming, and exception handling are addressed.
(Language of instruction: English)

Learning Outcomes
  1. Describe in detail Object-Oriented Programming concepts (e.g. classes, inheritance, composition, modularity, polymorphism)
  2. Analyse and interpret complex Object-Oriented programs written in Java
  3. Develop Object-Oriented solutions to programming problems, implement them in Java, test and debug them
  4. Write code to demonstrate knowledge of array structures, files, applets, graphical programs, multi-threaded programming, and exceptions
  5. Evaluate and justify decisions made in programs (e.g. selection of data types, choice of decision and repetition structures, use of inheritance or composition)
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Department-based Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module CT619: "Object Oriented Programming" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional CT621: Artificial Intelligence


15 months long | Credits: 5

Artificial Intelligence (AI) is an introduction to some of the fundamental concepts and techniques in the area . The module begins by examining the concept of AI and as well highlighting some important real-world applications of AI. It then presents search strategies currently employed in AI research. This is developed further by the examination of the functional programming language Prolog. The second part of the module looks at Knowledge Representation and Machine Learning. It also deals with the topic of uncertainty in AI. The module finishes by examining future directions of AI research and associated philosophical dilemmas.
(Language of instruction: English)

Learning Outcomes
  1. Define Artificial Intelligence
  2. Use Predicate Calculus and outline the reasons for using Predicate Calculus
  3. Describe various search techniques, explaining the advantages and disadvantages of each
  4. Demonstrate the value of heuristics in a search
  5. Construct Prolog programs
  6. Create representations (e.g. demonstrate how to represent objects, actions, events and situations; discuss how to reason about knowledge; and justify the selection of appropriate representations for a given application)
  7. Explain the relevance of uncertainty to AI and outline approaches to handle uncertainty
  8. Provide Machine Learning techniques appropriate for a range of different applications
  9. Explain various applications of Artificial Intelligence, their strengths and limitations, and their position in relation to current research
  10. Outline the philosophical underpinnings of Artificial Intelligence
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Department-based Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module CT621: "Artificial Intelligence" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional CT609: Fundamentals of Programming


15 months long | Credits: 5

In MCT609, Fundamentals of Programming, students will receive a solid introduction to the art and science of computer programming. The emphasis is on the fundamentals of problem solving and program construction, with the high-level “C” language used as the vehicle for doing this. Upon successful completion, students will be capable of developing and maintaining useful software of reasonable size and complexity. The module is suitable for students with no previous experience of computer programming as well as those with moderate previous knowledge or knowledge of languages other than C. It will provide students with a solid foundation in the key concepts of functional programming, as well as an appreciation of object-oriented programming. The emphasis is on applied problem-solving skills as well as on the theoretical concepts underlying the programming activity. Although the module focuses specifically on the C language, students who have successfully completed it will typically find learning other high-level languages relatively easy, having learned the important skills and concepts of programming in this module.
(Language of instruction: English)

Learning Outcomes
  1. Design and develop well-structured, modular, maintainable software programs using the C language
  2. Understand and modify C programs written by other people
  3. Design and develop C programs of substantial size, involving multiple source files and libraries imported from other programmers
  4. Design and develop C programs of substantial algorithmic complexity, involving multiple nested control structures and multiple dimensioned arrays
  5. Make competent use of pointers and dynamic memory allocation for flexible data storage
  6. Make use of data structures and understand their relevance to object-oriented programming
  7. Develop C programs that make use of disk files for persistent data storage
  8. Transfer the principles of programming using C to other high-level programming languages
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module CT609: "Fundamentals of Programming" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Optional CT610: Software Engineering


15 months long | Credits: 10

Software Engineering, will provide students with the fundamental software engineering knowledge necessary to develop and deliver quality software products. It emphasizes a holistic and process based approach to the development of software systems, encompassing technology, business, organizational and human concerns. The module discusses various software components (technology) and the diverse issues impacting their development (process, project and people) and quality. Fundamental software process, project management, and product development skills are developed in this module. The challenges of successfully completing software development projects will be addressed practically, empirically, and theoretically. Upon successful completion, students will have a much greater understanding of software systems development from many perspectives. This understanding, combined with the practical product, process, and project management techniques learned, will equip the student to further develop their knowledge and skills in the field of software systems development both educationally and professionally.
(Language of instruction: English)

Learning Outcomes
  1. Evaluate the successes and failures of the Software industry
  2. Define and evaluate the importance of software engineering education and an agreed Code of Ethics for the future development of the discipline
  3. Appreciate the importance of Requirements & Quality management to Software Engineering
  4. Compare various software engineering process approaches and understand when to use them
  5. Model an unambiguous, prioritized set of requirements for a software system using an appropriate approach
  6. Initiate a software project (including scoping, estimation of effort and scheduling project tasks)
  7. Analyse approaches to managing people and teams in software projects
  8. Outline the evolution of analysis and design approaches from Structured through OO & UML
  9. Create a high level UML design for a case study from a requirements model
  10. Evaluate the usefulness of Design Patterns
  11. Evaluate approaches to Software Configuration Management (SCM) and Change Control
  12. Design a test strategy and risk management strategy for a software project
  13. Describe the changes in software development in the past two decades
  14. Explain SWEBOK and SEEK and how they categorize the knowledge requirements of software engineers
  15. Distinguish between software engineering licensing and certification
  16. Define and outline the main components of the IEEE/ACM Code of Ethics for Software Engineers and the importance of ethics
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Department-based Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module CT610: "Software Engineering" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional CT5114: Distributed Systems and The Cloud


15 months long | Credits: 5

Distributed Systems and the Cloud brings together many strands of study: database applications, software engineering, middleware, architecture, and Java programming. Students will deploy a simple Web application to a cloud platform. They will follow this with a critical analysis of that cloud platform thus building practical, critical and analytical skill for designing and building these systems. Students will become very familiar with the challenges of building Distributed Systems by building an evaluative framework that can be applied to almost any Distributed Systems scenario. Students will spend time on a number of important evolutions in Distributed Systems including relational and non-relational database systems, Web Services and Java EE - gaining an appreciation of legacy systems like CORBA, RMI and RPC, and Sockets.
(Language of instruction: English)

Learning Outcomes
  1. Create a Cloud deployment environment
  2. Evaluate the core design goals of any Distributed System
  3. Demonstrate the relevance of MapReduce & Hadoop to parallel processing of ‘Big Data’
  4. Analyse the role of the Database in Distributed Systems design and evaluate alternatives to Relational Database Management Systems (RDBMS)
  5. Apply the technologies and concepts of Distributed Systems to real problems
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Department-based Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module CT5114: "Distributed Systems and The Cloud" and is valid from 2017 onwards.
Note: Module offerings and details may be subject to change.

Optional CT611: Computer Architecture and Operating Systems


15 months long | Credits: 5

This module introduces the structure and operation of the various system components including the CPU, system buses and internal/external memory, with an emphasis on programming techniques and/or access mechanisms for those components. An overview of numbering systems and digital logic will complete the architecture section. In the second part of this module, students will apply their acquired knowledge to the design of an operating system (OS). Students will also learn how various OS features are applied in the Windows 2000/XP and UNIX operating systems.
(Language of instruction: English)

Learning Outcomes
  1. Explain the structural elements of a computer.
  2. Write simple programs illustrating how instructions are processed by a Central Processing Unit (CPU).
  3. Explain how instructions are processed by a CPU.
  4. Convert between different number systems, including decimal, binary, and hexadecimal.
  5. Construct digital circuits (using 'logic-gates').
  6. Design a memory module.
  7. Describe the purpose of the memory-types in a computer system and how they are managed.
  8. Explain how to organise processes and threads efficiently.
  9. Describe how process scheduling algorithms work.
  10. Show how concurrency can be effectively managed.
  11. Discuss how an operating system manages its attached devices.
  12. Recommend methods to manage various system security requirements.
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Department-based Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module CT611: "Computer Architecture and Operating Systems" and is valid from 2022 onwards.
Note: Module offerings and details may be subject to change.

Why Choose This Course?

Career Opportunities

The software industry includes businesses involved in the development, maintenance and publication of computer software, as well as software services such as training, documentation, and consulting. At the heart of this industry is the activity of actually building and producing computer software, which is the emphasis of this diploma. Opportunities for software developers are excellent within Ireland and internationally.

Who’s Suited to This Course

This is an ideal course for students who wish to:

  • Update their software development and ICT skills
  • Study in a flexible, online environment
  • Engage with an interesting and challenging curriculum
  • Improve their employability by re-skilling in the area of software development
  • Develop key professional skills of critical thinking, problem-solving and communications skills

Learning Outcomes

Transferable Skills Employers Value

Work Placement

Study Abroad

Related Student Organisations

Course Fees

Fees: EU

€4,758 p.a. 2023/24

Fees: Tuition

€4,688 p.a. 2023/24

Fees: Student levy

€70 p.a. 2023/24

Fees: Non EU

€5,258 p.a. 2023/24

 

*Next Level Skillnet funding (40% fee subsidy) is available for this course. You also may be eligible for the Adult Learning Tuition Scholarship, find out more

For more information on Next Level Skillnet please contact:
Sue Davis
Email: sue@nextlevel.ie

Find out More

Aisling Monahan
IT Online
T: + 353 91 495 698
E: mscsed@universityofgalway.ie or aisling.monahan@universityofgalway.ie

Majella O’Dea 
IT Online
T: + 353 91 495 041
E: majella.odea@universityofgalway.ie

Downloads

  • Postgraduate Prospectus 2023

    Postgraduate Prospectus 2023 PDF (20.6MB)