Programme Specifications

Software Engineering (with integrated year in industry)

1 : Awarding Institution / Body
Aberystwyth University

2a : Teaching Institution / University
Aberystwyth University

2b : Work-based learning (where appropriate)

Information provided by Department of Computer Science:

Integrated Year in Industry

3a : Programme accredited by
Aberystwyth University

3b : Programme approved by
Aberystwyth University

4 : Final Award
Master in Engineering

5 : Programme title
Software Engineering (with integrated year in industry)

6 : UCAS code

7 : QAA Subject Benchmark

Information provided by Department of Computer Science:


8 : Date of publication

Information provided by Department of Computer Science:

September 2023

9 : Educational aims of the programme

Information provided by Department of Computer Science:

Subject knowledge

  • To give students a good grounding in the major fields of Computing through a wide range of experiences;

  • ​To give students an understanding of the political, economic, legal and social issues surrounding software.

  • ​To enable students to learn about an organization and its area of work, providing an excellent opportunity to evaluate future career paths.

  • ​To provide a Masters level depth of knowledge of specific areas of Computing

​Subject specific skills

  • ​To equip students with the skills necessary to design software and to program in high-level computing languages;

  • ​To enable students to understand and apply the range of principles and tools available to the software engineer

  • ​To instil the professional skills and ethical responsibilities required of computer practitioners.

Generic and graduate skills

  • ​To reason logically and creatively; to communicate clearly both orally and in writing; and to be able to obtain and interpret information from a wide range of sources

​Overall aim of the scheme

  • ​To produce graduates with the best preparation for building 'industrial strength' computing applications, a variety of experience with all aspects of the software lifecycle, and enhanced employment prospects with a wide range of employers.​​

10 : Intended learning outcomes

Information provided by Department of Computer Science:

The scheme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:

10.1 : Knowledge and understanding

Information provided by Department of Computer Science:

  • A1 Knowledge of a range of programming languages and software design techniques

  • A2 Knowledge of algorithm design and use of efficient data structures

  • A3 An understanding of the mathematical underpinnings of Computer Science

  • A4 An understanding of computer hardware architecture and construction

  • A5 Knowledge of software engineering, the management of software projects, and their legal, social, ethical and professional aspects

  • A6 Knowledge and experience of the concepts that underpin 'industrial strength' computing applications.

Learning and Teaching

  • ​​​Lectures (A1-A6)

  • ​Problem classes (A2,A3)

  • ​Seminars (A5, A6)

  • ​Laboratory work (A1, A2, A4, A5, A6)

  • ​Group and individual projects (A1, A2, A4, A5, A6)

  • ​Visiting lecturer series (A5, A6)​​

Assessment Strategies and Methods

  • ​​​Time-constrained examinations (A1-A6)

  • ​Problem sheets (A1, A2, A3)

  • ​Project diaries (A1,A5, A6)

  • ​Project reports (A1, A2, A5, A6)

  • ​Oral presentations (A5, A6)

  • ​Computer programs and assignments (A1, A2, A5, A6)

  • ​Capstone project (A1, A2, A5, A6)​​

10.2 : Skills and other attributes

Information provided by Department of Computer Science:

10.2.1 Intellectual Skills

By the end of their programme, all students are expected to be able to demonstrate:

  • B1 Application of a range of concepts and principles in well-defined software development contexts, showing judgement in the selection and application of tools and techniques

  • B2 Implementation of computer programs in a range of modern languages

  • B3 The ability to develop and evaluate logical arguments

  • B4 The skill of abstracting the essential elements of problems, modelling them and obtaining solutions by appropriate methods

  • B5 Application of engineering principles and knowledge to develop complex software systems

  • B6 The capability of evaluating systems in terms of general quality attributes, possible trade-offs and risk within the given problem

Learning and Teaching

  • ​​​Lectures (B1-B6)

  • ​Problem classes (B3, B4, B5)

  • ​Seminars (B1, B4, B5, B6)

  • ​Laboratory work (B2, B4, B5)

  • ​Group and individual projects (B1-B6)

  • ​Visiting lecturer series (B3, B5, B6)​​

Assessment Strategies and Methods

  • ​​​Time-constrained examinations (B1-B6)

  • ​Problem sheets (B1, B2, B3)

  • ​Project diaries (B1, B3, B6)

  • ​Project reports (B1-B6)

  • ​Oral presentations (B1, B3, B6)

  • ​Computer programs and assignments (B1, B2, B4, B5)

  • ​Capstone project (B1, B2, B4, B5)​​

10.2.2 Professional practical skills / Discipline Specific Skills

By the end of their programme, all students are expected to be able to:

  • C1 Present arguments and conclusions effectively and accurately

  • C2 Use computer software to support presentations, produce reports and work as part of a software team

  • C3 Understand the different ways in which project teams operate in the computing industry

  • C4 Use appropriate theory, practices and tools for the specification, design, implementation and evaluation of computer-based systems

  • C5 Recognise any risks, safety or security aspects that may be involved with a computer system within a given context

  • C6 Deploy effectively the tools used for the construction and documentation of computer applications on an industrial scale

  • C7 Demonstrate a range of transferable skills in employment including employability, initiative, independence and commercial awareness.

Learning and Teaching

  • ​​​Lectures (C1-C6)

  • ​Problem classes (C1)

  • ​Seminars (C1-C6)

  • ​Laboratory work (C4, C6)

  • ​Group and individual projects (C1-C6)

  • ​Visiting lecturer series (C1, C3, C5)

  • ​Integrated year in industry (C1-C7)​​

Assessment Strategies and Methods

  • ​​​Time-constrained examinations (C1, C4, C5)

  • ​Problem sheets (C1)

  • ​Project diaries (C2, C3, C5)

  • ​Project reports (C1, C2, C4, C5, C6)​​

10.3 : Transferable/Key skills

Information provided by Department of Computer Science:

On completion of the programme the student will be able to take responsibility for themselves and their work. S/he will be able to:

  • Work independently
  • Work in a team
  • Respect the views and beliefs of others
  • Listen
  • Communicate orally
  • Communicate in writing
  • Communicate electronically
  • Word-process
  • Use the Web
  • Manage time and work to deadlines
  • Research issues
  • Solve problems
  • Adapt to change
  • Develop career awareness

And s/he will exhibit:

Effective information-retrieval skills (including the use of browsers, search engines and catalogues).

Numeracy in both understanding and presenting cases involving a quantitative dimension.

Effective use of general IT facilities.

Managing one's own learning and development including time management and organisational skills.

Appreciating the need for continuing professional development in recognition of the need for lifelong learning.

11 : Program Structures and requirements, levels, modules, credits and awards

MENG Software Engineering (with integrated year in industry) [G601]

Academic Year: 2023/2024Integrated Masters scheme - available from 2000/2001

Duration (studying Full-Time): 5 years

Part 1 Rules

Year 1 Core (120 Credits)

Compulsory module(s).

Semester 1

Introduction to Computer Infrastructure


Introduction to Programming


Study Skills for Computer Science

Semester 2

Problems and Solutions


Fundamentals of Web Development


Information security


Programming Using an Object-Oriented Language

Part 2 Rules

Year 2 Core (80 Credits)

Compulsory module(s).

Semester 1

Algorithm Design and Data Structures


C and C++


Modelling Persistent Data

Semester 2

Software Engineering

Year 2 Options

Choose 20 credits

Semester 2

Python Gwyddonol


Scientific Python


Robotics and Embedded Systems


Artificial Intelligence

Year 2 Electives

Choose 20 credits as advised by the department

Year 3 Core (120 Credits)

Compulsory module(s).

Semester 1

Sandwich Year


Sandwich Year

Semester 2

Sandwich Year


Sandwich Year

Year 4 Core (90 Credits)

Compulsory module(s).

Semester 1

Agile Development and Testing


Mobile Development with Android

Semester 2

Professional Issues in the Computing Industry


Major Project

Year 4 Electives

Choose 30 credits, as advised by the department

Final Year Core (60 Credits)

Compulsory module(s).

Semester 1

Developing Advanced Internet-Based Applications

Semester 2

Machine Learning for Intelligent Systems

Final Year Timetable Core/Student Option

Choose ONE of the following

Semester 1

Internet Technologies


Fundamentals of Intelligent Systems


Statistical Concepts, Methods and Tools

Semester 2

Final Year Timetable Core/Student Option

Choose ONE of the following

Semester 2

Computational Intelligence


Statistical Techniques for Computational Scientists


Research Topics in Computing

Final Year Electives

Choose a semester 2 module, subject to departmental approval

12 : Support for students and their learning
Every student is allocated a Personal Tutor. Personal Tutors have an important role within the overall framework for supporting students and their personal development at the University. The role is crucial in helping students to identify where they might find support, how and where to seek advice and how to approach support to maximise their student experience. Further support for students and their learning is provided by Information Services and Student Support and Careers Services.

13 : Entry Requirements
Details of entry requirements for the scheme can be found at

14 : Methods for evaluating and improving the quality and standards of teaching and learning
All taught study schemes are subject to annual monitoring and periodic review, which provide the University with assurance that schemes are meeting their aims, and also identify areas of good practice and disseminate this information in order to enhance the provision.

15 : Regulation of Assessment
Academic Regulations are published as Appendix 2 of the Academic Quality Handbook:

15.1 : External Examiners
External Examiners fulfill an essential part of the University’s Quality Assurance. Annual reports by External Examiners are considered by Faculties and Academic Board at university level.

16 : Indicators of quality and standards
The Department Quality Audit questionnaire serves as a checklist about the current requirements of the University’s Academic Quality Handbook. The periodic Department Reviews provide an opportunity to evaluate the effectiveness of quality assurance processes and for the University to assure itself that management of quality and standards which are the responsibility of the University as a whole are being delivered successfully.