Business forecasting and data analytics
Credit Type:
For-Credit
Credits Available:
15 Credits
Course Level:
Postgraduate
Academic Direction:
City St George's, University of London
About the course
This course will provide you with tools and insights on how to make use of available data in daily operations, generate and evaluate forecasts and make informed decisions, more specifically, the course aims to:
-Review basic concepts in data analytics
-Introduce time series and multivariate analysis
-Develop an understanding of the basic principles in forecasting
-Foster critical analysis of time series data
-Generate opportunities for hands on experience with a few forecasting problems
-Introduce a range of forecasting methods
-Enable assessments of different forecasts
-Help to make decisions under uncertainty
Recommended learning hours: 150
Course details
- Credit Type: For-Credit
- Study Method: Online, flexible
- Learning Outcomes: On successful completion of this course, students will be able to:
-
- Apply the basic principles of forecasting
- Demonstrate, describe and explain uncertainty and its implications for planning and decision-making
- Select and apply an appropriate forecasting method to the supply chain management problem
- Demonstrate understanding of the judgmental aspects in forecasting
- Use model building and software as well as make more effective use of judgment when selecting data and variables to model, or when evaluating the results of your models
- Identify key features of time series data and other data
- Evaluate and compare or combine forecasts
- Develop and report forecasts based on the methods covered in the course
- Demonstrate recognition of the challenges of planning in an uncertain world and the limitations of forecasting
- Demonstrate an understanding of the importance of stating and acknowledging the assumptions behind model building and expert opinions
- Career Opportunity: Completion of this course enables learners to pursue roles related to demand planning, data, forecasting and operations analysis and business intelligence. The analytical and modelling skills gained are applicable in sectors including supply chain, retail, logistics, consulting and financial planning, where accurate forecasting and data-driven decisions are vital.
- Target Learners: This course is suited to learners who wish to build competence in forecasting, data analysis and decision-making under uncertainty. It is ideal for individuals looking to enhance their ability to interpret time-series data, select appropriate analytical methods and draw evidence-based conclusions. It benefits those working in or aspiring to analytical or planning roles within supply chain or operational environments.
- Estimated Time to Complete: 10-20 weeks
- Maximum Registration Period: 1 Year
- Entry Requirements: To be eligible for the course, you must have:
- an undergraduate degree which is considered at least comparable to a UK third class bachelor’s degree , OR
- at least two years’ relevant professional experience at a graduate level, AND
- a high standard of English, equivalent to an IELTS score of at least 6.5 overall with 6.0 in the written test, or a Duolingo score of at least 120.
- Tech/Computer Requirements: We set minimum computer and web access requirements for online study. These are updated from time and can be found at https://www.london.ac.uk/study/how-apply/computer-requirements.
- Skills Acquired:
- Application of forecasting principles and methods
- Time series and multivariate data analysis
- Evaluation and comparison of forecasts
- Forecast-informed decision-making
- Data-driven planning and performance reporting
- Start Anytime? Yes
Microcredential Courses
- Course Level
- Postgraduate
- Subject Area
- SCMGT Supply Chain Management
- Academic Direction
- City St George's, University of London