| 
 Postgraduate Course: Data Management (CMSE11646)
Course Outline
| School | Business School | College | College of Arts, Humanities and Social Sciences |  
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |  
| Course type | Online Distance Learning | Availability | Not available to visiting students |  
| SCQF Credits | 10 | ECTS Credits | 5 |  
 
| Summary | Data Management delves into fundamental and advanced principles and applications of databases within the context of real-world database structures. |  
| Course description | This course offers an exploration into managing and manipulating data through Database Management Systems (DBMS), with a strong emphasis on Structured Query Language (SQL). It provides a comprehensive understanding of how data is stored, retrieved, and managed, focusing on relational databases, data integrity, query optimisation, and the practical applications of SQL in real-world scenarios. 
 Outline Content
 
 The course will cover a subset of the following topics: an introduction to Database Management Systems, applications of database technology, key definitions and architecture, database users and languages, database modelling, and integrity constraints. It also emphasises on the relational and entity-relationship models, highlighting their significance in database design and implementation.
 
 Student Learning Experience
 
 Tutorial/seminar hours represent the minimum total live hours - online - a student can expect to receive on this course. These hours may be delivered in tutorial/seminar, workshop or other interactive whole class or small group format. These live hours may be supplemented by pre-recorded lecture material for students to engage with asynchronously. Live sessions will be delivered only once.
 |  
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |  | Co-requisites |  |  
| Prohibited Combinations |  | Other requirements | For MSc Data and Decision Analytics students only, or by permission of course organiser. Please contact the Student Adviser. |  
Course Delivery Information
|  |  
| Academic year 2025/26, Not available to visiting students (SS1) | Quota:  None |  | Course Start | Block 2 (Sem 1) |  Timetable | Timetable | 
| Learning and Teaching activities (Further Info) | Total Hours:
100
(
 Lecture Hours 10,
 Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
88 ) |  
| Assessment (Further Info) | Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 % |  
 
| Additional Information (Assessment) | 100% Project report (Individual) - Assesses all course Learning Outcomes |  
| Feedback | Formative: Feedback will be provided throughout the course. 
 Summative: Feedback will be provided on assessments within agreed deadlines.
 |  
| No Exam Information |  
Learning Outcomes 
| On completion of this course, the student will be able to: 
        Understand the fundamentals of databases, including the relational model and SQL syntax, to construct and manipulate database structures effectively.Apply their knowledge to design, create, and manage databases and develop proficiency in writing complex SQL queries.Analyse and solve real-world data management problems by implementing advanced SQL features.Critically evaluate and optimise database queries for efficiency and performance.Communicate database features and designs effectively to a critical business audience. |  
Reading List 
| Core Text 
 Connolly T M, Begg C E. Database systems: a practical approach to design, implementation, and management. Pearson Education, 2015.
 |  
Additional Information
| Graduate Attributes and Skills | Communication, ICT, and Numeracy Skills 
 After completing this course, students should be able to:
 
 Convey meaning and message through a wide range of communication tools, including digital technology and social media; to understand how to use these tools to communicate in ways that sustain positive and responsible relationships.
 
 Critically evaluate and present digital and other sources, research methods, data and information; discern their limitations, accuracy, validity, reliability and suitability; and apply responsibly in a wide variety of organisational contexts.
 
 Knowledge and Understanding
 
 After completing this course, students should be able to:
 
 Demonstrate a thorough knowledge and understanding of contemporary organisational disciplines; comprehend the role of business within the contemporary world; and critically evaluate and synthesise primary and secondary research and sources of evidence in order to make, and present, well informed and transparent organisation-related decisions, which have a positive global impact.
 
 Identify, define and analyse theoretical and applied business and management problems, and develop approaches, informed by an understanding of appropriate quantitative and/or qualitative techniques, to explore and solve them responsibly.
 
 |  
| Keywords | Database Management Systems,Structured Query Language (SQL),Database Design,Data Integrity |  
Contacts 
| Course organiser | Dr Xiyuan Ma Tel: (0131 6)50 8074
 Email:
 | Course secretary | Mx Fran Knocke Tel:
 Email:
 |   |  |