Course Details

Course Code:
MSSOENTFAD
Available:
Full-Time
Duration:
1 Year
Award:
Masters (MSc)
Faculty: Science and Engineering
Course Type: Taught
Fees: For Information on Fees, see section below.

Contact(s):

Name: Dr. Michael English
Address: Department of Computer Science and Information Systems Email: michael.english@ul.ie Telephone: 353-61-202772

Express Interest

Register your interest here for more information or to be notified when applications are open.

Brief Description

The MSc in Software Engineering includes the application of specialised knowledge and skills to develop different kinds of large, complex software systems. The programme also provides the opportunity to specialise in data analytics, extracting knowledge from large data sets. There is continuous demand for software engineers and data analysts both internationally and nationally. This award will provide an opportunity for students, to gain up-to-date  knowledge and skills in software engineering and/or data analytics, including machine learning. The course consists of both a taught component and a project.

*New Data Analytics stream (stream 2)

Programme Objectives:

To equip graduates with a detailed knowledge of the theories, processes, methods and techniques of building high-quality software in a cost-effective manner.

To equip graduates with the knowledge, techniques and tools needed to analyse large data sets in order to extract valuable knowledge from the data.

To meet industry’s needs for graduates who can evaluate and apply current research in Software Engineering/Data Analytics to practice.

To enhance graduates existing educational base and employment prospects.

Software Engineering involves the application of specialised knowledge and skills to develop different kinds of large, complex software systems.  There is continuous demand for software engineering graduates both internationally and nationally.  This course will provide an opportunity for students to gain up-to-date knowledge and skills in software engineering.  Students will develop their ability to critically evaluate current software engineering research.  The course consists of both a taught component and a project.  It will equip graduates with a detailed knowledge of the theories, processes, methods and techniques of building high-quality software in a cost-effective manner.  

Programme Objectives:

  • To equip graduates with a detailed knowledge of the theories, processes, methods and techniques of building high-quality software in a cost-effective manner.
  • To increase the awareness of the opportunities offered by current research in Software Engineering and its application to current practice.
  • To meet industry's needs for graduates having the above qualities.
  • To enhance graduates existing educational base and employment prospects.

 

The course spans a single academic year (12 months) and requires full time attendance on campus. The course comprises ten taught modules which are taken in semesters one and two and a substantial project which is completed in semester three. Students who pass the taught element of the programme will be offered the opportunity to complete their project/dissertation in semester 3 and graduate with an MSc in Software Engineering.  Students who do not want to complete the dissertation can opt to graduate with a Graduate Diploma in Software Engineering on successful completion of 60 credits.

 

Autumn - Semester 1 Spring - Semester 2 Summer - Semester 3
  • CS6081 Research Methods & Practice
  • CS5721 Software Design
  • CS5707 Software Development Paradigms
  • CS5741 Concurrency & Parallelism in Software Development

Choose Stream 1 OR Stream 2:

 

Stream 1: Software Process and Analysis

  • Software Evolution

 

Stream 2: Data Analytics

  • Machine Learning and Applications
  • CS5703 Sofware Quality
  • CS5705 Human Computer Interaction
  • CS5722 Software Architecture

 Stream 1: Software Process and Analysis

  • Software Engineering Requirements
  • Project Management and Practice

 

 Stream 2: Data Analytics

  • Applied Big Data and Visualisation
  • Data Mining

 

 

 

Option to exit with Graduate Diploma (60 ECTS)

  • Project

 

Content of the modules can be found by using the search option on the Book of Modules






 

Normally a primary degree (Level 8 - National Qualifications Authority of Ireland) or approved equivalent professional qualification in a cognate discipline (e.g. Computer Systems/Science, Applied Mathematics) at first or second class honours level.  An interview may be part of the admission process.

WHAT TO INCLUDE WITH YOUR APPLICATION:

  • Qualification transcripts and certificates
  • An up-to date Curriculum Vitae outlining your work experience (with details of each role you have held) and your technical skills
  • A copy of your birth certificate (long document)
  • If your qualifications have been obtained in a country where English is an official language this will suffice
  • If this is not available, the following additional documents must be provided:
    • English translation of your qualification(s)/transcripts
    AND
    • English language competency certificate

    For more information Click Here

Prospective careers for graduates include software engineering, software project management, systems analysis and software researcher and development.