Courses / Modules / MATH6011 Forecasting

Forecasting

When you'll study it: Semester 2
CATS points: 7.5
ECTS points: 3.75
Level: Level 7
Module lead: Alain Zemkoho
Academic year: 2026-27

Module overview

The module will introduce students to time series models and associated forecasting methods.

Learning and Teaching

Teaching and learning methods

Lectures and computer workshops.

Study time
Type	Hours
Teaching	16
Independent Study	59
Total study time	75

Resources & Reading list

Textbooks

Janert, P.K. (2011). Data Analysis with Open Source Tools. Sebastopol: O'Reilly.

Draper, N.R. and Smith, H. (1981). Applied Regression Abalysis. New York: John Wiley.

Anderson, R.A., Sweeney, D.J. and Williams, T.A. (1994). An Introduction to Management Science. West Publishing Co.

Makridakis, S., Wheelwright, S.C. and Hyndman, R.J. (1998). Forecasting: Methods and Applications. New York: Wiley.

Rob J Hyndman and George Athanasopoulos (2012). Forecasting: principles and practice. Ortexts.com.

Gilchrist, W.G. (1976). Statistical Forecasting. New York: Wiley.

Phuong Vothihong, Martin Czygan, Ivan Idris, Magnus Vilhelm Persson & Luiz Felipe Martins (2017). Python: End to End Data Analysis. Packt Publishing.

Wetherill, GB. (1981). Intermediate Statistical Methods. London: Chapman and Hall.

Assessment

Summative

This is how we’ll formally assess what you have learned in this module.

Breakdown
Method	Percentage contribution
Coursework	100%

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Breakdown
Method	Percentage contribution
Coursework	100%

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.

Breakdown
Method	Percentage contribution
Coursework	100%

Repeat Information

Repeat type: Internal & External