NOTE: Where the 2013 requirements for a programme differ from those previously published, care will be taken to ensure existing students are not disadvantaged.
This specialisation will enable you to understand and use data mining techniques. The term data mining refers to the process of extracting potentially useful information from complex data using computational methods. Data mining has its roots in artificial intelligence, databases, and statistics. You will learn how to prepare the data for mining, get to know data mining algorithms, and learn to understand and evaluate the models that summarize the extracted information.
We list the Data Mining requirements in the form of a "degree planner". Where semesters are shown they refer to the 2013 schedule.
† BSc regulation 8 requires 105 points across at least four science subjects. STAT121 and STAT111 will help satisfy these requirements and is strongly recommended in its own right. It also helps students keep their options open for changing to another major with the Faculty if desired.
* BSc regulation 8 requires 105 points across at least four science subjects. These elective 100 level papers should be recognised Science papers, which are all papers offered by the Faculty of Science and Engineering, all COMP, STAT and MATH papers (except MATH168), and PHIL102, PSYC102 and PSYC103.
Elective papers may be replaced by papers at a higher level.