Alternative Programmes

Part-Time Study (2 Years)

Part-time students are expected to complete the course over two consecutive years. Lectures, workshops and computing labs take place during the Michaelmas (October to December) and Lent terms (January to March), with exams in the Summer term (May and June).

Students can opt to follow term I modules in year one and term II modules in year two, or alternatively, take 60 credits over each of the two years making their selections progressively (with support) according to module prerequisites. The Dissertation component is expected to be undertaken over the period June - September in year two, but their may be scope to commence work in year one.

Students are expected to be able to attend lectures and practical sessions during term time and to engage in group projects. They are also expected to be able to attend for any examinations in the summer.

Postgraduate Diploma (120 credits)

This interdisciplinary programme is aimed at students who wish to develop skills in the emerging discipline of Data Science. Building upon a data science core set of modules, students can then choose to further specialise in Computing or Statistical Inference, building upon their first degree, or can alternatively select modules spanning the specialisms. The Data Science offerings are unique in the sector and have been developed in conjunction with colleagues in the School of Computing, the Department of Mathematics and Statistics, Lancaster Environment Centre, Lancaster University Management School and CHICAS in the Faculty of Health and Medicine.

Students study core topics (75 credits) including: research methodology, computer programming, data sourcing and management, statistical modelling and inference and the use of computing technology to handle large and complex data sets. A variety of routes through the MSc are then available; students choose from a range of elective modules (45 credits) according to their skills, interests and career aspirations.

Designated routes include:

  • Societal
  • Population Health
  • Environmental
  • Bioinformatics
  • Business Intelligence
  • Computing

Part-time Study

Part-time students are expected to complete the course over two consecutive years. Lectures, workshops and computing labs take place during the Michaelmas (October to December) and Lent terms (January to March), with exams in the Summer term (May and June) . Students can opt to follow term I in year one and term II in year two, or alternatively, take 60 credits over each of the two years making their selections (with support) progressively according to module prerequisites.

Students are expected to be able to attend lectures and practical sessions during term time and to engage in group projects. They are also expected to be able to attend for any examinations in the summer.

Postgraduate Certificate (60 credits)

This scheme will allow professionals and research students to engage in fundamental data scientifci training. Not least, the ability to source, handle, model and mine large and complex data is becoming an increasingly important skill set. This interdisciplinary programme provides a foundation in statistical modelling, programming, data mining and also data science as process for gaining insight from data. The statistical modelling module can be chosen to reflect prior skills and knowledge.

The Postgraduate Certificate in Data Science consists of a series of taught modules (60 credits at level 7):

  • MATH552: Generalised Linear Modelling or CFAS440: Statistical Methods and Modelling
  • SCC403: Data Mining
  • SCC461: Programming for Data Science
  • SCC460: Data Science Fundamentals

Students may opt to substitute one of the following statistics modules in place of SCC.460 according to interests, prior skills and pre-requisites:

  • MATH551: Likelihood Inference or CFAS406: Statistical Inference. 

MATH551 is intended for students with first degree in Mathematics and /or Statistics, whereas, CFAS440 assumes A'level Mathematics, or equivalent. Similarly, for MATH551 and CFAS406.

Part-time Study

Part-time students are expected to complete the course over two years. Lectures, workshops and computing labs take place during the Michaelmas (October to December) and Lent terms (January to March), with exams in the Summer term (May and June) .

Students are expected to be able to attend lectures and practical sessions during term time and to engage in group projects. They are also expected to be able to attend for any examinations in the summer.