Postgraduate Programme; Hon, MSc Statistics

BSc Honours in Statistics (instream)
To be eligible to proceed to Past III Honours Statistics a student must have passes MTH101, 102,111,STS101, 102,111,112,201,202,203, 211, 213,221 and he must have obtained an average of 70% or more in the six part II courses.Those with average 65-69% in the six part II courses may be considered as special entry cases.

In Part III of the programme a student will study 12 courses
(a) STS301, 302, 312, 311 and at least two of HSTS323, 324, 325, 326.
(b) At most two courses from another subject at Part II or higher level
(a) At least four courses from HSTS331, 332, 333, 334, 336.

3.In order to proceed to Part IV of the programme a student must have
(a) passed 10 Part III courses
(b) satisfied the pre-requisites for at least 10 part IV courses
(c) passed MTH201, 202

4.In Part IV of the programme a student will study 12 courses
(a) At most two courses from another subject at Part II or higher level
(b) A (double) project course HSTS470
(c) At most two courses from HSTS423, 424, 425, 426
(d) At least 6 courses from HSTS401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 413, 414,415.
Core courses include all four Part 1 courses, all six Part II courses, HSTS301, 302,311,312.

To be eligible for the award of an Honours degree in Statistics a student must have
(a) passed each core course
(b) passed the project course
(c) passed at least 8 part III and 6 Part IV courses
(d) passed overall 38 courses including a minor subject.

To classify the pass in Statistics honours we take the weighted average of
(a) HSTS301, 302, 311, 312 with weight 3
(b) The best other 6 courses taken in Part III with weight 3 if they are BSc general courses (2a) above and weight 4 if they are Honours courses (2c) above) (c) The project course
(d) The best other 9 courses taken in Part IV


BSc Honours in Statistics (postgrad.)
To be eligible for entry to this programme a student must hold a BSc General degree with a major in Statistics, or its equivalent, at an appropriate level.

A student will study 12 courses
(a) a project course HSTS470
(b) at least 8 other courses from HSTS401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415.
(c) At most two courses from HSTS432, 424, 425, 426.

To be eligible for the award of an Honours degree in Statistics a student must have
(a) passed the project course
(b) passed at least 6 courses
(c) passed overall 10 courses

MSc DEGREE PROGRAMME IN STATISTICS
Applicants should have a good (at least a 2.1 ) BSc Honours Degree in Statistics, or an equivalent qualification with substantial statistical content and sufficient mathematical background.A student may be required to pass a qualifying examination. It is anticipated that some students may require additional mathematical and/or statistical background courses,in order to satisfy the pre-requisites for certain specialised material. Such students may take up to 4 such courses during the first year of study.

The programme consists of 2 parts. Part I consist of course work assessment and formal examination, with the course work component consisting no more than 25% of the overall mark.Part II of the MSc programme consists of a research dissertation.Weighting 60:40 will be given to parts I and II respectively.The programme is one and half years full time and 3 years part time.

Courses in MSc Degree Programme
Compulsory Courses
MSTC501 Multivariate Methods (prerequisite HSTS411)
MSTC502 Further Time Series (prerequisite HSTS302)
Optional Course: Select at most 6
MSTC503 Generalised Linear Models (prerequisite HSTS411)
MSTC504 Further Stochastic Processes (prerequisite HSTS321,403,404)
MSTC505 Non Parametric Statistics (prerequisite HSTS311)
MSTC506 Survival Analysis (prerequisite HMT321,HSTS409,404)
MSTC507 Mathematical Programming (prerequisite HSTS325, MSTC521)
MSTC508 Further Operations Research (prerequisite HSTS325,MSTC507)
MSTC509 Further Econometrics (prerequisite HSTS323,404)
MSTC510 Acturial Topics (prerequisite HSTS407,404)
MSTC511 Quantitative Genetics (prerequisite HSTS405,406)
MSTC512 Environmental Impact Assessment (prerequisite HSTS405,406)
MSTC513 Analysis of Ecological Communities (prerequisite HSTS405,406)
MSTC514 Further Topics (prerequisite HMT312)
And/or at most 2 of
MSTC515 Econometrics
MSTC516 Demography
MSTC517 Operations Research
MSTC518 Official Statistics I
MSTC519 Official Statistics II (prerequisite MSTC554)
MSTC520 Applied Economic Statistics (prerequisite MSTC351)
MSTC521 Statistical Ecology
MSTC522 Bioassays and Modelling
MSTC523 Industrial Quality Control
MSTC524 Quality Management
MSTC525 Acturial Statistics
MSTC526 Risk Theory
MSTC527 Advanced Probability Theory (prerequisite HMT321)
MSTC528 Stochastic Processes
MSTC529 General Linear Models
MSTC530 Dynamic Regression Models
MSTC531 Reliability Theory
MSTC532 Sampling Theory
MSTC533 Bayesian Statistics

Part II
MSTC570 Dissertation