Business Analytics MSc
Master
In Loughborough
Description
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Type
Master
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Location
Loughborough
Overview
Our MSc Business Analytics programme equips you with the skills that employers value, by combining the rigorous modelling and consulting skills needed to understand, manage and communicate useful insights from ‘big data’ – often referred to as the oil of the 21st century.
Graduates from MSc Business Analytics are highly employable and are equipped to consult with organisations and governments to help them make informed strategic business or policy decisions. Taught modules are delivered by our group of internationally recognised management scientists who are actively working with business, government and non-profit organisations to tackle routine, strategic or policy problems.
A number of industrial collaborators contribute to our curriculum delivering workshops and guest talks. They also ensure that the focus of our taught modules is of both academic and practical relevance. Our collaborators include practitioners from companies such as tui, npower, BT, IBM, SAS, British Airways, and Government departments through the Government Operational Research Service. In addition, SAS sponsor a student prize, and one of our modules – Managing Big Data – is developed in close collaboration with IBM.
During the summer you will undertake a supervised consulting or research project. Recent consulting projects have been with companies such as tui, npower, dstl, and defra. This will give you the opportunity to apply powerful tools such as data mining, forecasting, optimisation, simulation and decision analysis to a particular area of business or policy, equipping you with skills highly prized by employers.
What makes this programme different?
Opportunity to work on commercial consultancy project
SAS sponsor a student prize
IBM teach on some modules
Scholarships available for the best candidates
Industry collaborators include IBM, tui, npower, BT, SAS & British Airways
Top 10 UK Business School
Who should study this programme?
Facilities
Location
Start date
Start date
About this course
Your personal and professional development
Our School of Business and Economics is committed to helping you develop the skills and attributes you need to progress successfully in your chosen career.
Future career prospects
Business analytics is a new and rapidly developing field, and individuals with analytics skills are in short supply. Graduates from this programme can expect to work as management consultants, business analysts, policy analysts, marketing researchers, operations researchers, and data scientists.
Graduate destinations
Recent graduate destinations include:
Virgin Media, Analyst
PwC, Management Consultant
Enterprise, Management Trainee
Logica, Analyst
Marks & Spencer, Forecast Planner
Sportingbet, Digital Media Operations Executive
Your personal development
As part of our ongoing commitment to supporting you with your personal and professional development, all our Business and Economics postgraduate students have the opportunity to attend an impressive range of extra-curricular masterclasses and public lectures– all on campus and free of charge. Our masterclasses and public lectures to offer you the chance to broaden your horizons, with a wide range of business-related topics covered, with speakers from the Bank of England, Shazam, Shell and Dell just to name a few.
On successful completion of the programme, you should be able to:
Communicate complex ideas and arguments effectively, both orally and in writing and using a range of media, to expert and lay audiences.
Work effectively with others in a team environment, recognising and utilising individuals’ contributions in group processes, and displaying effective negotiation and project management skills when needed.
Reviews
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Enjoyed my first year so far. The University is very welcoming to everyone.
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Course rating
Recommended
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The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 14 years
Subjects
- Programming
- Government
- Industry
- Project
- University
- Consulting
- Simulation
- Data Mining
Course programme
What you'll study
- Semester 1
- Semester 2
- Summer
Skills for Analytics Projects (15 credits)
Skills for Analytics Projects (15 credits)
Students learn the craft and skills required by analysts, and which employers look for in graduates, but often are lacking. It covers the general model-building and soft skills necessary for analysts so as to use their technical capabilities effectively in analytics projects, such as the process of analytics projects, skills for client interaction, problem structuring and data elicitation (with individuals and/or groups, and with hard/soft data), presenting data-driven analyses, report writing, and developing simple bespoke decision support systems.
Assessment
Typically this module is assessed by 100% coursework, although the university reserves the right to alter this.
Discovery Analytics (15 credits)
Discovery Analytics (15 credits)
Aims to provide students with a firm understanding of the principles of data analysis, statistical inference and statistical modelling, as well as their application to practical analytics problems and develop an awareness of numerical reasoning, analytical skills and the ability to apply statistical models to datasets and interpret their results. Students gain exposure to analytics software tools such as SAS or equivalent, and use them to analyse real world datasets.
Assessment
Typically this module is assessed by 25% coursework / 75% exam, although the university reserves the right to alter this.
Decision Analytics (15 credits)
Decision Analytics (15 credits)
Students develop an awareness of common operational research techniques to help determine the best course of action for a given decision or problem. Topics covered include optimisation, simulation and decision and risk analysis.
Assessment
Typically this module is assessed by 25% coursework / 75% exam, although the university reserves the right to alter this.
Managing Big Data (15 credits)
Managing Big Data (15 credits)
Developed in conjunction with IBM, this module enables students to learn about the challenges and opportunities derived from the increased volume, variety, velocity and value of data that is available today. A range of big data topics are covered including data type, data integration, data technologies, and data security.
Assessment
Typically this module is assessed by 100% coursework, although the university reserves the right to alter this.
Customer Analytics (15 credits)
Customer Analytics (15 credits)
This module enables students to learn analytics techniques that can help organisations gain a deeper insight into customers’ behaviour and attitudes towards their products and services. It covers approaches designed to provide a profile of customer segments, such as those grounded in data mining and multivariate statistical analysis. Industry-leading tools that are in high demand from employers (e.g. SAS) are used.
Assessment
Typically this module is assessed by 25% coursework / 75% exam, although the university reserves the right to alter this.
Operations Analytics (15 credits)
Operations Analytics (15 credits)
Students develop an awareness of analytics techniques that can help organisations to develop a better understanding of operational processes, and identify efficiency and cost reduction opportunities. Topics covered include advanced optimisation and simulation techniques.
Assessment
Typically this module is assessed by 50% coursework / 50% exam, although the university reserves the right to alter this.
Policy and Strategy Analytics (15 credits)
Policy and Strategy Analytics (15 credits)
Analytics techniques designed to tackle complex policy and strategic issues are introduced. It covers approaches designed to explain the behaviour of complex social systems or assess the consequences of complex decisions, in order to provide the levers for policy and strategy making in a variety of sectors.
Assessment
Typically this module is assessed by 50% coursework / 50% exam, although the university reserves the right to alter this.
Process and Programming for Analytics (15 credits)
Process and Programming for Analytics (15 credits)
This module covers the process and programming aspects of analytics and data science. Students not only study these theoretically but practically too with relevant lab sessions provided. It covers topics such as analytics pipeline, process models, and python programming. Other analytics infrastructures are evaluated and used too such as Bluemix and Bigquery.
Assessment
Typically this module is assessed by 50% coursework / 50% exam, although the university reserves the right to alter this.
Analytics Project (60 credits)
Analytics Project (60 credits)
Students develop a working knowledge of executing an analytics project to tackle a theoretical or practical problem integrating and further developing aspects of the Business Analytics Consulting taught programme. Projects have been developed in conjunction with organizations such as npower, dstl, Department for Education, defra, East Midlands Ambulance Service, and tui.
Assessment
Typically this module is assessed by 100% coursework, although the university reserves the right to alter this.
Business Analytics MSc