Academic Handbook Course Descriptors and Programme Specifications

LSCI62118A Software and Data Security Course Descriptor

Course code LSCI62118A Discipline Computer Science
UK Credit 15 US Credit N/A
FHEQ level 6 Date approved  October 2023
Compulsory/
Optional
Compulsory for Software Engineer Specialism or Cyber Security Analyst
Pre-requisites None
Co-requisites None

Course Summary

It is of vital importance that applications are secure and that users have complete confidence that their data is held securely, unavailable to those that would seek to use it for their own good and/or illegal purposes. This course therefore examines and investigates the principles of common security architectures and the methodologies, processes and procedures that underpin software and data security. Within the software development life-cycle, a range of methodologies and tools are employed to identify vulnerabilities and weaknesses, and to systematically review and implement robust security alongside stakeholder considerations such as accessibility. Threats to data security and how to protect data are major concerns of all businesses and organisations. To achieve this and meet the requirements of regulations and legislation a range of methods and strategies are employed. The audit of data can classify it and manage it to mitigate risk, technological tools and methods may be employed to test and identify risk, while policies, procedures and practices aim to ensure the physical and human environment are safe.

This course aims to equip learners with an understanding of common security architectures, methodologies, and techniques, as well as the foundational principles of software and data security within regulatory contexts, to underpin software and data security. It considers the concept of vulnerabilities, weaknesses, and threats that affect software and data security, emphasising their potential impact on stakeholders. Additionally, the course provides learners with material that encourages them to assess the broader operational landscape surrounding software and data storage, access, and usage. By doing so, learners can acquire the ability to formulate recommendations that enhance security measures and effectively mitigate risks.

Learning Outcomes

On successful completion of the course, students will be able to:

Knowledge and Understanding

K1c Critically analyse the principles of common security architectures and methodologies., concepts and processes that underpin software and data security and the regulatory and legislative and societal context within which they operate.
K2c Critically evaluate vulnerabilities and weaknesses in software development, and threats to data security, and potential impact on stakeholders.
K3c Apply strategies and methodologies that build security into software and ensure a secure data environment.

Subject Specific Skills

S1c Accurately interpret regulations, legislation and the expectations of governance, policy, and processes for software and data security, with particular consideration for different stakeholders.
S2c Plan security measures, processes and methods that build security into the development and use of software alongside stakeholder considerations such as accessibility, and ensure data is stored, accessed, and used in a robust security environment.
S3c Assess methodologies and use appropriate tools, processes and methods to identify weaknesses and vulnerabilities in software development, and identify threats to data security.

Transferable and Employability Skills

T1ci Engage in effective research, collate and analyse technical information to support complex problem solving.
T1cii Display an advanced level of technical proficiency in written English and competence in applying scholarly terminology, so as to be able to apply skills in critical evaluation, analysis and judgement effectively in a diverse range of contexts.
T2c Apply analytical and critical thinking skills to complex technological problems and their solutions.
T3c Apply understanding of business contexts, including accessibility requirements,  and develop arguments to support technological solutions and innovation.

Teaching and Learning

This is an e-learning course, taught throughout the year. 

Teaching and learning strategies for this course will include: 

  • Online learning
  • Online discussion groups
  • Online assessment

Course information and supplementary materials will be available on the University’s Virtual Learning Environment (VLE).

Learners are required to attend and participate in all the formal and timetabled sessions for this course. Learners are also expected to manage their self-directed learning and independent study in support of the course.

The course learning and teaching hours will be structured as follows:

  • Off-the-job learning and teaching (6 days x 7 hours) = 42 hours
  • On-the-job learning (12 days x 7 hours) = 84 hours (e.g. 2 days per week for 6 weeks)
  • Private study (4 hours per week) = 24 hours

Total = 150 hours

Workplace assignments (see below) will be completed as part of on-the-job learning.

Assessment

Formative

Learners will be formatively assessed during the course by means of set assignments. These will not count towards the final degree but will provide students with developmental feedback. 

Summative

Assessment will be in two forms:

AE   Assessment Type Weighting Online submission Duration Length
1 Set Exercises 60% Yes Requiring on average 20 – 30 hours to complete
2 Written Assignment (workplace case study) 40% Yes 1500 words 

Further information about the assessments can be found in the Course Syllabus.

Feedback

Learners will receive formal feedback in a variety of ways: written (via email or VLE correspondence) and indirectly through online discussion groups. Learners will also attend a formal meeting with their Academic Mentor (and for apprentices, including their Line Manager). These bi or tri-partite reviews will monitor and evaluate the learner’s progress.  

Feedback is provided on summative assessed assignments and through generic internal examiners’ reports, both of which are posted on the VLE.

Indicative Reading

Note: Comprehensive and current reading lists for courses are produced annually in the Course Guide or other documentation provided to learners; the indicative reading list provided below is used as part of the approval/modification process only.

Books 

  • Kohnfelder, L. (2021) Designing Secure Software: No Starch Press.
  • Ribeiro, M. (2022) Learning DevSecOps: O’Reilly Media, Inc.
  • Warren Axelrod, C. (2012) Engineering Safe and Secure Software Systems: Artech House.

Journals

Learners are encouraged to read material from relevant journals on Software and Data Security as directed by their course leader.

Electronic Resources

Learners are encouraged to consult relevant websites on Software and Data Security.

Indicative Topics

Learners will study the following topics: 

  • Software and Data Security 
  • Secure Software Development (DevSecOps) 
  • Secure Data Management
Title: LSCI62118A Software and Data Security

Approved by: Academic Board

Location: Academic Handbook/BSc (Hons) Digital & Technology Solutions 

Version number Date approved Date published Owner Proposed next review date Modification (As per AQF4) & category number
3.0 October 2023 October 2023 Dr. Alexandros Koliousis October 2028 Category 1: Corrections/clarifications to documents which do not change approved content.

Category 3: Changes to Learning Outcomes

2.0 October 2022 January 2023 Dr Yu-Chun Pan September 2027 Category 3: Changes to Learning Outcomes
1.0 September 2022 September 2022 Dr Yu-Chun Pan September 2027
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