Queensland University of Technology
Area of Study
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits3 - 4
Recommended U.S. Quarter Units4 - 6
Hours & Credits
Data management is an essential aspect of all large-scale IT systems and has important applications in many industries (e.g., banking, finance health, education and entertainment). Databases are crucial for ensuring information is available, reliable, secure and able to be used by other applications. This unit introduces the basic knowledge and skills required to manage and control large amounts of data. Students will learn about data representation, manipulation and storage, as well as techniques for processing and retrieving information from databases. The unit assists with the development of critical thinking skills required to design, use and evaluate database systems. It links to key application areas such as health and finance, providing students with the opportunity to apply the knowledge they develop.
Upon completion of this unit you will be able to:
1. Identify and describe the relevance and impact of data management practices, procedures and techniques, especially those relevant to maintaining data securely
2. Develop data models and database designs
3. Create methods for the storage, retrieval (query formulation) and manipulation of large amounts of data
4. Evaluate database systems, data models and physical data structures
5. Generate solutions to data management problems.
The content of this unit is split into three modules:
Database Design: In this first module you will learn basic database concepts and terminology, as well as how to design a database based on user requirements. You will learn how to construct conceptual and logical data models, and how to minimize the redundancy in logical data models.
Query Formulation: In the second module you will learn how to create and modify a database schema and how to retrieve database content. You will also learn how query languages rely on set operations and relational algebra.
Database Management: The final module is structured to allow you to contextualise the knowledge and skills taught in earlier modules within a specific industry context (e.g., health, finance). You will explore topics such as database administration, distributed databases, properties of database transactions, non-traditional data storage and retrieval, access control, data security and integrity, and data privacy.
Courses and course hours of instruction are subject to change.
Eligibility for courses may be subject to a placement exam and/or pre-requisites.
Some courses may require additional fees.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.