Enterprise Systems Engineering and Big Data


Students will develop an understanding of enterprise systems engineering, by learning to design and implement solutions. The module will also enable students to critically appraise enterprise internet solutions involving scalability, customisation and security.


The aim of this module is to provide the student with: the ability to plan, develop and test enterprise system models.

Learning Outcomes

By the end of this module the student should be able to:

1.  Explain and exemplify the enterprise and information architectures of an enterprise system, including the hardware and software requirements.

2.  Appraise the role of integration, adaptation and innovation in the enterprise organisation.

3.  Compare, contrast and exemplify the complexity, scalability and management of enterprise software with other application contexts.

4.  Describe and exemplify the methods and methodologies appropriate to systems security in an enterprise system.

Indicative Content

1 Architecting Scalable Enterprise Applications.

Architecting Scalable Enterprise Applications.

2 Cloud Computing.

Cloud Computing.

3 Ensuring High Availability for your Enterprise Applications.

Ensuring High Availability for your Enterprise Applications.

4 Load Balancing Enterprise Applications.

Load Balancing Enterprise Applications.

5 Working with Big Data

Working with Big Data

6 Securing Enterprise Applications.

Securing Enterprise Applications.

7 Distributed Databases in an Enterprise Environment.

Distributed Databases in an Enterprise Environment.

8 Provisioning Enterprise Servers

Provisioning Enterprise Servers


Statement on Teaching, Learning and Assessment

Students will receive a series of lectures supported by practical laboratory sessions. Underpinning theory will be introduces in lectures and further developed through the practical sessions. The educational goal of the module is to assist students in gaining an appreciation of issues likely to affect future development, and in developing research skills.

Teaching and Learning Work Loads

Total 214
Lecture 24
Tutorial/Seminar 0
Supervised Practical Activity 36
Unsupervised Practical Activity 0
Assessment 80
Independent 74

Guidance notes

Credit Value – The total value of SCQF credits for the module. 20 credits are the equivalent of 10 ECTS credits. A full-time student should normally register for 60 SCQF credits per semester.


We make every effort to ensure that the information on our website is accurate but it is possible that some changes may occur prior to the academic year of entry. The modules listed in this catalogue are offered subject to availability during academic year 2019/10 , and may be subject to change for future years.