Click here to start your application. Apply now

Academic Handbook BSc (Hons) Applied Digital and Technology Solutions (online)

NCHNAL474 Database Design and Management I Course Descriptor

Course Title Database Design and Management I Faculty EDGE Innovation Unit (London)
Course code NCHNAL474 Teaching Period This course will typically be delivered over a 6-week period.
Credit points 15 Date approved March 2021
FHEQ level 4
Prerequisites None
Co-requisites None 

Course Summary

This course covers the underlying principles and concepts behind relational databases. Students will use the reporting language SQL to interrogate relational databases and design simple databases. SQL will be used for creating and accessing data tables, indexing, arithmetic operations, loops, arrays, multiple table processing, I/P operations, data-type conversions, and views. Students will have the opportunity to apply their knowledge of relational databases using industry-standard cloud-based technology e.g. using ServiceNow training.

Course Aims

  • Train students in the core concepts and techniques for manipulating relational databases.
  • Give students the tools to code native SQL.
  • Give students the opportunity to create various functions in SQL.
  • Give students the opportunity to work on simulated work-based problems and use learned knowledge to solve these problems.

Learning Outcomes

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

Knowledge and Understanding

K1a Understand the basic principles of relational databases: their structure, use and how to interrogate them.
K2a Have knowledge and understanding of basic SQL syntax and query structure.
K3a Have knowledge of the regulations, ethical and security considerations required in modern data storage.

Subject Specific Skills

S1a Code structurally correct SQL commands.
S2a Design and implement basic relational databases.
S3a Perform basic data manipulation and information retrieval operations using SQL.

Transferable and Professional Skills

T1a Demonstrate skill in numeracy and computation.
T2a Understand logical arguments, identifying the assumptions made and the conclusions drawn.
T3a Demonstrate the ability to analyse, evaluate and correctly interpret data.
T4a Display a developing technical proficiency in written English and an ability to communicate clearly and accurately in structured and coherent pieces of writing.

Teaching and Learning

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

This course can be offered as a standalone short course.

Teaching and learning strategies for this course will include: 

  • On-line learning
  • On-line discussion groups
  • On-line assessment

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

Students are required to attend and participate in all the formal and timetabled sessions for this course. Students 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:

● Learning and teaching (6 days x 8 hours) = 48 hours 

● Independent study = 102 hours 

Indicative total learning hours for this course: 150 hours

Assignments (see below) will be completed as part of private study.



Students 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. 


AE   Assessment Type Weighting Online submission Duration Length
1 Set computational exercises 60% Yes Requiring on average 20-30 hours to complete N/A
2 Report  40% Yes Requiring on average 10-20 hours to complete 2,000 words +/- 10%, excluding data tables

The summative assessment will be assessed in accordance with the assessment aims set out in the programme specification.


Students will receive formal feedback in a variety of ways: written (via email or VLE correspondence) and indirectly through online discussion groups. Students will also attend a formal meeting with their Mentor. These reviews will monitor and evaluate the student’s progress.

Feedback is provided on summatively 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 Syllabus or other documentation provided to students; the indicative reading list provided below is used as part of the approval/modification process only.


Casteel, J., (2015), Oracle 12C: SQL, Course Technology

Date, C. J., (2019), Database design and relational theory, Apress

Silberschatz, A. and Korth, H.F., (2019), Database System Concepts, MacGraw-Hill


Students are encouraged to read material from relevant journals on Database Design and SQL as directed by their Course Leader.

Electronic Resources

Students are encouraged to seek out websites that support Database Design and SQL.

Indicative Topics

  • Database design
  • SQL
  • Data Structures
Title: NCHNAL474 Database Design and Management I Course Descriptor

Approved by: Academic Board

Location: Academic Handbook/Programme specifications and Handbooks/ Undergraduate Online Programmes/Applied BSc (Hons) Digital & Technology Solutions/Course Descriptors

Version number Date approved Date published  Owner Proposed next review date Modification (As per AQF4) & category number
3.0 December 2022 December 2022 Dr Yu- Chun Pan June 2026 Category 3: Change to Teaching and Learning Strategy; Change to English Proficiency Learning Outcome

Category 1: Corrections/clarifications to documents which do not change approved content or learning outcomes

2.1 July 2022 August 2022 Scott Wildman June 2026 Category 1: Corrections/clarifications to documents which do not change approved content or learning outcomes
2.0 January 2022 April 2022 Scott Wildman June 2026 Category 3: Changes to Learning Outcomes
1.0 March 2021 Scott Wildman March 2026
Print/Save PDF