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.
† BCMS regulation 8 requires 50 points from subjects in the field other than the major including at least 20 points above 100 Level. STAT121 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.
* For the honours programme, the two 200 level papers in year 3 must be replaced by an additional two 300 level papers, and year 4 requirements are COMP520 Report of an Investigation (45 points) plus five COMP5XX papers (15 points each). Permission may be given to include up to 30 points at 500 level from outside Computer Science.
Elective papers may be replaced by papers at a higher level.
Admission to Honours Programme
To be eligible for honours candidates will require an average of B+ in at least 80 points at 300 level in Computer Science papers. This does not apply to double major students, who will be treated separately.