MSc Data Science

MSc in Data Science

Programme code: TMDS

Department: Statistics

This information is for the 2017/18 session.

Guidelines for interpreting programme regulations
Classification scheme for the award of a taught master's degree (four units)
Exam sub-board local rules

Full-year programme. Students must take four compulsory courses, options to the value of one unit and a dissertation as shown.

Paper	Course number and title
1	MY470	Computer Programming (H) *
2	ST445	Managing and Visualising Data (H)
3	ST447	Data Analysis and Statistical Methods (H) +
4	ST443	Machine Learning and Data Mining (H)
5	Choice of two from the following 0.5 unit optional courses, including at least one ST course:
	MA407	Algorithms and Computation (H)
	MA424	Modelling in Operations Research (H)
	MY459	Quantitative Text Analysis (H)
	MY461	Social Network Analysis (H)
	ST405	Multivariate Methods (H)
	ST411	Generalised Linear Modelling and Survival Analysis (H)
	ST422	Time Series (H)
	ST429	Statistical Methods for Risk Management (H)
	ST436	Financial Statistics (H)
	ST444	Statistical Computing (H)
	ST446	Distributed Computing for Big Data (H)
6	ST498	Capstone Project/ Dissertation

Notes
* Students who can demonstrate equivalent prior knowledge of MY470 Computer Programming, via transcripts of prior qualifications, may skip this course and take a further half unit of options under Paper 5. + Students who can demonstrate equivalent prior knowledge to ST447 Data Analysis and Statistical Methods, via transcripts of prior qualifications, may skip this course and take a further half unit of options under Paper 5.

Notes

* Students who can demonstrate equivalent prior knowledge of MY470 Computer Programming, via transcripts of prior qualifications, may skip this course and take a further half unit of options under Paper 5.
+ Students who can demonstrate equivalent prior knowledge to ST447 Data Analysis and Statistical Methods, via transcripts of prior qualifications, may skip this course and take a further half unit of options under Paper 5.

Note for prospective students:
For changes to graduate course and programme information for the next academic session, please see the graduate summary page for prospective students. Changes to course and programme information for future academic sessions can be found on the graduate summary page for future students.