The course

Delivery
Full-time, Part-time, Per course
Course type
Taught
Location
Edinburgh
Entry date
September

MSc Logistics and Supply Chain Management with Business Analytics teaches cutting-edge expertise in Business Analytics and the use of Big Data, highlighting the roles they play in developing effective and sustainable logistics and supply chain strategies.

Contact

Overview

The MSc Logistics and Supply Chain Management with Business Analytics is a brand new programme of study created by Heriot-Watt University to pass on cutting-edge expertise in Business Analytics and the use of Big Data whilst highlighting the role these disciplines play in developing effective and sustainable logistics and supply chain strategies. 

In recent years, the logistics and supply chain sectors have adopted an increasingly data-driven focus, leading to a greater demand for graduates who can solve complex logistics and supply chain problems through the effective analysis of data. As industry has become increasingly data-driven so too has the work of Heriot-Watt University’s Logistics Faculty whose most recent research has resulted in significant advances in knowledge. Specifically, our academics have led the way in using data analytics and modelling techniques to develop logistics and supply chain solutions for in both public and private sector organisations.

The research of the Centre for Sustainable Road Freight, conducted in partnership with the University of Cambridge, aims to reduce the environmental impact of road freight and make it more cost-effective for some of the United Kingdom’s biggest organisations. This ensures that the big data and business analysis skills taught on this programme are highly applicable to the current needs of industry, having emerged directly from research which strives to find real-world solutions. 

By incorporating this research-based knowledge in two new courses, MSc Logistics and Supply Chain Management with Business Analytics will equip you with the analytical tools and techniques expected of graduates in the fast evolving logistics and supply chain sectors. Through the completion of six further courses, developed over 25 years within our established suite of masters degrees in Logistics and Supply Chain Management, you will gain extensive knowledge in the current concepts, theories and practices of logistics and supply chain management. 

This combination of learning will provide you with the ability to make evidence-based management decisions through the sound analysis and interpretation of quantitative data related to logistics and supply chain management.

Specialist Courses in Business Analytics and Big Data Analytics

The Programme structure for MSc Logistics and Supply Chain Management with Business Analytics includes two new courses in big data analytics and business analytics, both of which draw on the cutting-edge expertise developed recently in Heriot-Watt University’s Logistics Research Centre. 

Business Analytics

This new course in Business Analytics will teach you how to use a wide range of analytical tools and techniques to solve real business problems and improve business performance.  Increasingly employers expect management graduates to have practical data analysis skills to support decision-making in business.

Big Data Analytics

Heriot-Watt University’s Big Data Analytics course will give you the quantitative skills to extract, analyse and interpret information from large data sources. Real-world case studies will provide you with insights into how multiple advanced data analytics tools and techniques can be used to solve complex logistics and supply chain management problems.

An MSc with industry demand

This specailist Masters degree in Logistics will allow you to tap into our knowledge in big data and business analytics whilst developing a complementary skill-set in logistics and supply chain management. Industry insights have played their part in the development of this programme, ensuring that you gain a combination of skills in high demand.

In 2017 the Scottish Manufacturing Advisory Board said that the combintation of analytical and supply chain management skills is likely to become crucial for the global manufacturing sector in the coming years. Indeed, Heriot-Watt University’s own Business Management Industry Advisory Board, which includes business directors from a number of different sectors, recently highlighted a significant demand for Logistics graduates with core business analysis skills. In 2017, LinkedIn also claimed that Statistical Analysis and Data Mining was the second most in-demand skill-set around the globe.

Our research: a driving force for new knowledge

The Centre for Sustainable Road Freight (SRF) is the primary research centre within Heriot-Watt’s Logistics Research Centre. The SRF is a partnership between Heriot-Watt University and the University of Cambridge which merges our expertise in Logistics and Supply Chain Management with their Department of Engineering. The aim of this joint-research project is to find engineering and organisational solutions that will help leading partners within the road freight sector meet the UK Government’s emissions reduction targets for road freight. This work, as well as other cutting-edge, data-driven research has played a central role in the development of this programme.

You can read more about our research here: The Centre for Sustainable Road Freight


Course content

Detailed course guide
Semester 1 (Sep - Dec) Semester 2 (Jan - April)
Strategies for Managing Supply Chains Demand and Inventory Planning 
Global Purchasing and Supply Research Philosophy and Practice
Freight Transport and Warehouse Management Big Data Analytics
Business Analytics

1 Option from:

  • Project Management
  • Quality Management and Engineering
  • Green and Sustainable Logistics
  • Systems Thinking and Analysis

During Semester 3 over the summer months you will complete your Logistics and Supply Chain Management Dissertation Project supported by a Dissertation Supervisor.

Strategies for Managing Supply Chains

Semester 1 (Mandatory)

This course explores how logistics and supply chain management can be leveraged to gain competitive advantage.  When designing a supply chain strategy we consider taxonomies for supply chain process selection as well as approaches to design and optimise the physical logistics network.   Finally, we explore how disruptive technologies such as Artificial Intelligence (AI), blockchain and the Internet of Things (IoT), might affect the logistics sector and transform supply chains in the future.

Global Purchasing and Supply

Semester 1 (Mandatory)

Purchasing processes and activities; theory and the make or buy decision; category management and supplier sourcing; supplier performance and relationship management; supplier development and the role that purchasing plays in New Product Development (NPD); procuring complex performance; partnership; ethics and social responsibility.

Freight Transport and Warehouse Management

Semester 1 (Mandatory)

This course examines the activities, resources and processes used in freight transport and warehousing including the foundations of multi-modal freight (road, rail, air-freight, sea-freight, pipeline); the change from warehouse (storage) to a distribution centre and value adding activates; foundations of warehouse management (storage systems, handling systems, order picking systems, equipment choices and selection); and freight and distribution centre interface and implications.

Business Analytics

Semester 1 (Mandatory)

This new course in Business Analytics will teach you how to use a wide range of analytical tools and techniques to solve real business problems and improve business performance. In hands-on computer workshops you will learn how to interpret business data and experience the power of simulation modelling and predictive analytics, amongst others.  Increasingly employers expect management graduates to have practical data analysis skills to support decision-making in business, this course uniquely gives you this advantage.

Demand and Inventory Planning 

Semester 2 (Mandatory)

This course develops in depth knowledge and understanding of relevant demand and inventory management concepts; an awareness of the impact of forecasting and inventory on supply chain performance; and critical appreciation of the complexities and dynamics of managing inventories in multi-echelon network.

Research Philosophy and Practice

Semester 2 (Mandatory)

Provides an understanding of the social science research process, as well as theory and approaches to research. Develops practical skills (i.e. quantitative and qualitative techniques) in data analysis to transform the raw data into information that guides marketing management valuations.

Big Data Analytics

Semester 2 (Mandatory)

Our Big Data Analytics course will give you the quantitative skills to extract, analyse and interpret information from large data sources. Real-world case studies will provide you with insights into how multiple advanced data analytics tools and techniques can be used to solve complex logistics and supply chain management problems. Furthermore, the course will develop your understanding in the associated technologies such as cloud computing, distributed artificial intelligence and Internet of things.

Optional course

Semester 2

*Optional courses include: Project Management; Quality Management and Engineering; Green and Sustainable Logisitics, and Systems Thinking and Analysis. 

Entry requirements

A good Honours degree (first or second class), or its non-UK equivalent, in a relevant subject from a recognised British or overseas university.

Work or project experience in a logistics-related field will be of further advantage.

English language requirements

If your first language is not English, or your first degree was not taught in English, we’ll need to see evidence of your English language ability.

The minimum English language requirement for entry to this programme is IELTS 6.5 (or equivalent) with no component lower than 6.0.

If you do not have IELTS 6.5, we offer a range of English language courses to help you meet the English language requirement for this programme prior to commencing your studies:

  • 14 weeks English (for IELTS of 5.5 with minimum of 5.0 in all skills)
  • 10 weeks English (for IELTS of 5.5 with minimum of 5.5 in reading & writing and minimum of 5.0 in speaking & listening)
  • 6 weeks English (for IELTS of 5.5 with minimum 5.5 in all skills)

Fees

Tuition fees for 2019 entry (by residency status)
Status* Full-time Part-time Per course
Scotland / Non-UK EU £8448 £4224 £1056**
England / Northern Ireland / Wales £8448 £4224 £1056**
Overseas £17720 £8860 £2215**

* If you are unsure which category you fall in to, you should complete a fee status enquiry form, which allows us to assess your fees.

** Fee per course (module). Refer to the Course Content to see how many courses comprise the full programme.

Scholarships and bursaries

We aim to encourage well-qualified, ambitious students to study with us and we offer a wide variety of scholarships and bursaries to achieve this. Over £6 million worth of opportunities are available in fee and stipend scholarships, and more than 400 students benefit from this support.

View our full range of postgraduate taught scholarships.