Electives
Administrative label
Elective Business Analytics

Electives

Studying electives will allow you to develop domain expertise in the areas of your interest, and broaden your understanding of how to solve business problems.

Business Analytics electives

Each elective will introduce the main analytical models and questions in the area and you will gain expertise in both the language and tools specific to that business area. Real-world​ ​data​ ​sets​ ​and​ ​cutting​ ​edge​ ​tools​ ​and​ ​models​ ​will allow you to apply your knowledge directly within your chosen industry.

All students will take five Business Analytics electives:

Advanced Machine Learning

This elective aims to teach you basic analytics skills and methodologies for large-scale data analysis. It will focus on the practical use of these skills and methodologies to solve real world problems. You will cover a wide spectrum of technologies and algorithms in machine learning.

Data Management and Ethics

This module is not available to students studying the online programme, MSc Business Analytics (online delivery, part-time).

This module will give you detailed knowledge of data acquisition through to data cleaning/curation and digital preservation. You will gain experience of data processing and critical thinking with regard to issues of data ethics and privacy.

Digital Marketing Analytics

This elective considers the problems that arise in digital marketing and the models and business requirements of digital marketing. The elective includes hands-on practical analysis of two to three digital marketing-specific data sets using the methodologies learned earlier in the programme. You will learn to analyse shopping-cart data, sales data and click-stream data for web and e-commerce analytics.

Energy Analytics

By studying this module you will gain an understanding of the energy industry and the key problems faced by participants in energy markets. You'll be exposed to the challenges arising from changes in energy systems from increasing renewable energy and decarbonisation. Learn about the types of available data for energy markets, and the way that these can be used in energy analytics. You'll also gain an understanding of the metrics and models used in the energy industry, and the way that these can be used by decision makers. Discover how to communicate with business users in the energy domain and answer their questions through data analytics.

Financial Analytics

This elective looks at the problems and data sets that arise in financial industries and the models and business requirements of financial businesses. It includes hands-on practical analysis of financial industry-specific analytic specific data sets using the methodologies learned earlier in the programme.

Healthcare and Medical Analytics

Healthcare and medical fields are rich sources of data. This elective includes hands-on practical analysis of healthcare-specific data sets using the methodologies learned earlier in the programme.

Logistics and Supply-Chain Analytics

This elective considers the problems that arise in logistics and supply chains and the models and business requirements of supply-chain businesses. Efficient routing of vehicles, identification of bottlenecks, same-day delivery and other operational problems are increasingly occupying many delivery and e-commerce industries. Large real-time data sets are used for analysis and control. This elective studies models and analysis of such problems.

Retail and Marketing Analytics

When crossed with distribution and social-media data, retail scanner and other sales data has become a very rich source for marketers. This elective uses such data sets and consumer choice and behavioural models to show how retailers and marketers can make better marketing decisions.

Workforce Analytics

Problems that arise in human resources, work flow and performance monitoring and the models and business requirements of human resource departments are increasingly becoming important as software and sensors monitor the workforce. The elective includes hands-on practical analysis of workforce-specific analytic data sets using the methodologies learned earlier in the programme.

Service Analytics

Automation and globalization have profoundly changed manufacturing industries, displacing many jobs and creating turmoil. Until now, service operations were considered relatively safe, but this is soon set to change. We are seeing the beginnings of profound changes in the design and operation of service industries.

This course will concentrate on the management of services for efficiency and quality using big data and analytics. We will cover modern service design and include topics such as the use of automation and sensors to achieve efficiency and total quality.  Data on customer reviews, complaints provide valuable information on improving service.  Such data can be analysed using modern machine learning tools and procedures.

Electives

Studying electives will allow you to develop domain expertise in the areas of your interest, and broaden your understanding of how to solve business problems.

Business Analytics electives

Each elective will introduce the main analytical models and questions in the area and you will gain expertise in both the language and tools specific to that business area. Real-world​ ​data​ ​sets​ ​and​ ​cutting​ ​edge​ ​tools​ ​and​ ​models​ ​will allow you to apply your knowledge directly within your chosen industry.

All students will take five Business Analytics electives:

Advanced Machine Learning

This elective aims to teach you basic analytics skills and methodologies for large-scale data analysis. It will focus on the practical use of these skills and methodologies to solve real world problems. You will cover a wide spectrum of technologies and algorithms in machine learning.

Digital Marketing Analytics

This elective considers the problems that arise in digital marketing and the models and business requirements of digital marketing. The elective includes hands-on practical analysis of two to three digital marketing-specific data sets using the methodologies learned earlier in the programme. You will learn to analyse shopping-cart data, sales data and click-stream data for web and e-commerce analytics.

Energy Analytics

By studying this module you will gain an understanding of the energy industry and the key problems faced by participants in energy markets. You'll be exposed to the challenges arising from changes in energy systems from increasing renewable energy and decarbonisation. Learn about the types of available data for energy markets, and the way that these can be used in energy analytics. You'll also gain an understanding of the metrics and models used in the energy industry, and the way that these can be used by decision makers. Discover how to communicate with business users in the energy domain and answer their questions through data analytics.

Financial Analytics

This elective looks at the problems and data sets that arise in financial industries and the models and business requirements of financial businesses. It includes hands-on practical analysis of financial industry-specific analytic specific data sets using the methodologies learned earlier in the programme.

Healthcare and Medical Analytics

Healthcare and medical fields are rich sources of data. This elective includes hands-on practical analysis of healthcare-specific data sets using the methodologies learned earlier in the programme.

Logistics and Supply-Chain Analytics

This elective considers the problems that arise in logistics and supply chains and the models and business requirements of supply-chain businesses. Efficient routing of vehicles, identification of bottlenecks, same-day delivery and other operational problems are increasingly occupying many delivery and e-commerce industries. Large real-time data sets are used for analysis and control. This elective studies models and analysis of such problems.

Retail and Marketing Analytics

When crossed with distribution and social-media data, retail scanner and other sales data has become a very rich source for marketers. This elective uses such data sets and consumer choice and behavioural models to show how retailers and marketers can make better marketing decisions.

Workforce Analytics

Problems that arise in human resources, work flow and performance monitoring and the models and business requirements of human resource departments are increasingly becoming important as software and sensors monitor the workforce. The elective includes hands-on practical analysis of workforce-specific analytic data sets using the methodologies learned earlier in the programme.

Administrative label
MSc Business Analytics CTA 2
The programme gives students a solid grounding in rigorous technical and quantitative training, combined with the practical side of business analytics. Bringing both of these together will enable students to tackle a wide variety of business issues. The electives allow further specialisation and when combined with a summer project, it will give students the required grounding to be able to launch a successful career in business analytics.
Alwin Magimay
MSc Business Analytics Advisory Board Member
Alwin Magimay
For me personally, the most rewarding part of the programme is how applicable all the modules are to what is genuinely done in the workplace. For example, on my internship and while using real client data for one of the course modules (Retail and Marketing Analytics), I was able to create business value for the company whose data I was given permission to use, while applying techniques learnt in the course. I found it really rewarding to know and see first-hand how useful the programme has been, and how practical all the methodologies are in a real business context.
MSc Business Analytics 2020
Alana McIntosh Clark, Business Analytics 2019-20, student at Imperial College Business School

Other electives

Students on the full-time on campus programme will have the choice to take one additional elective from a suite of elective modules made available from other Business School MSc programmes.

It may be possible for online students to take selected elective modules from the School’s other programmes. Specific elective availability will be confirmed nearer the time, and specific combinations are subject to availability, timetabling, and individual student credit requirements.

Electives available and course outlines are subject to change. Imperial College Business School reserves the right to alter courses whenever they need to be amended or improved.