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Last modified: 31 May 2022 13:05

Course Overview

Databases are an important part of traditional information systems (offline /online) as well as modern data science pipelines. This course will be of interest to anyone who wishes to learn to design and query databases using major database technologies. The course aims to teach the material using case studies from real-world applications, both in lectures and lab classes.

In addition, the course covers topics including management of different kinds of data such as spatial data and data warehousing. The course provides more hands-on training that develops skills useful in practice.

Course Details

Study Type Undergraduate Level 2
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
  • Dr Nigel A Beacham

What courses & programmes must have been taken before this course?

  • Programme Level 2
  • Any Undergraduate Programme

What other courses must be taken with this course?


What courses cannot be taken with this course?

Are there a limited number of places available?


Course Description

This course consists of two halves. The first half is an introduction to data management: it aims at providing students with both an in-width and an in-depth understanding of disciplined approaches to data management. This will mainly help students learn foundational concepts such as data models, query languages and database design, and learn to apply them to solve practical problems.


The second half depends on the first. It is designed for students with an interest in the application of Data Management in a broad range of professions and areas including IT, Geosciences, Natural Sciences, Engineering, Life Sciences and Medicine, Education, Management, Accounting, Finance, and Social Sciences. The course offers skills training in, and knowledge of, database design and querying, data warehousing and spatial databases.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 1 Practical during University weeks 10 - 19

More Information about Week Numbers

Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Alternative Assessment

MCQ Class Tests 30%

SQL Group Report 40%

Implement a database 30%

Alternative Resit Assessment

Where a student fails the course overall they will be afforded the opportunity to resit those parts of the course that they failed (pass marks will be carried forward).


Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ProceduralApplyKnowledge and skill in data warehousing.
ProceduralApplyAble to perform basic data administration tasks.
ReflectionCreateAble to analyse and describe some aspect of the real world in terms of a conceptual model.
ConceptualUnderstandThe basic organisation and functionality of a variety of types of database system.
ProceduralApplyKnowledge and skill in management of different kinds of data such as spatial data.
ReflectionCreateAble to design and use queries in a query language.
ReflectionCreateThe outcome of the course is, by its nature, widely applicable. In its broadest terms, students will learn to apply a rigorous approach to design methodology.

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