MSc in Business Analytics
University of Edinburgh Business School
Key Information
Campus location
Edinburgh, United Kingdom
Languages
English
Study format
On-Campus
Duration
1 year
Pace
Full time
Tuition fees
GBP 20,400 / per year **
Application deadline
Request info *
Earliest start date
Request info
* this programme operates a series of selection deadlines; first deadline: 12 October 2022; final deadline: 7 June 2023
** home: £20,400 International, iincluding EU: £29,500
Introduction
This is the age of Big Data. Organisations hold more information about their business environments than ever before. Increasingly, these organisations are recognising the role of data in gaining insights and out-thinking competitors. As a result, there is a growing demand for employees and managers who have analytical skills and can make informed decisions that can drive organisational success.
Admissions
Curriculum
This programme runs for one academic year, starting in mid-September and ending in August. At the start of the programme, you study compulsory courses, which are undertaken in semester one. These are the foundation upon which the whole MSc is built and ensure a common basis of knowledge across the different areas.
A comprehensive Welcome Week provides an introduction to the programme, the School, and the University. Designed to be both informative and fun, it enables you to get acquainted with your classmates.
Through the selection of various option courses, you can tailor your studies towards your career interests.
Finally, your MSc dissertation brings all of the year’s learning together in a piece of work unique to each student.
To give you an idea of what the programme structure and courses might consist of, the below information details the structure and courses for this programme in 2022/23.
- Semester 1 - September–December
- Compulsory courses
- Predictive Analytics and Modelling of Data
- Prescriptive Analytics with Mathematical Programming
- Principles of Data Analytics
- Python Programming
- Compulsory courses
- Semester 2 - January–May
- Option courses (Group 1)* - Choose 2, 3, or 4
- Game Theory for Business Analytics
- Performance Analytics with DEA: Basic Concepts and Methods
- Soft Computing
- Web and Social Network Analytics
- Option courses (Group 2)* - Choose 2, 3, or 4
- Industrial Organisation
- Performance Analytics with DEA: Advanced Concepts and Methods
- Simulation Modelling and Analysis
- Stochastic Optimization
- Please Note: Courses may be delivered at different times. Some courses in Group 2 have recommended prerequisites.
- Option courses (Group 1)* - Choose 2, 3, or 4
- Summer - June–August
- Dissertation (MSc in Business Analytics)
*We will notify applicants of any changes to the programme structure and courses by 15 June in the year of entry to the course. We cannot guarantee that all option courses will run each year and occasionally there will be last-minute amendments after this date due to unforeseen circumstances such as staff illness.
The content of individual courses and the programme for any given degree are under constant academic review in light of current circumstances and may change from time to time, with some programmes and courses being modified, discontinued, or replaced.
Due to high demand, we cannot guarantee students a place on the optional course of their preference. Equally, if there is not enough interest in a given year for an option course then it may not be viable for us to run that particular option course. Some combinations of option courses may not be possible due to scheduling constraints.
Program Outcome
Learning Outcomes
The programme aims to provide students with a specialist education in business analytics.
General educational aims are to:
- Enable all participants to recognise, understand and apply the language, theory and models of the field of business analytics
- Foster an ability to critically analyse, synthesise and solve complex unstructured business problems
- Encourage an aptitude for business improvement, innovation and entrepreneurial action
- Encourage the sharing of experiences to enhance the benefits of collaborative learning
- Instil a sense of ethical decision-making and a commitment to the long-run welfare of both organisations and the communities they serve
Specific educational aims are to:
- Understand and critically apply the concepts and methods of business analytics
- Identify, model and solve decision problems in different settings
- Interpret results/solutions and identify appropriate courses of action for a given managerial situation whether a problem or an opportunity
- Create viable solutions to decision-making problems
Scholarships and Funding
Applicants to the MSc in Business Analytics can apply for a range of scholarships both from the University and external organisations.
Programme and School scholarships
We are keen to recruit the very best talent from all over the world. To this end, a number of programme-based and School-funded Scholarships are available, as well as others which are generously sponsored by industry and alumni.
Other scholarships and funding
You may be eligible for scholarships from the University of Edinburgh or an external organisation.
Gallery
Accreditations
Career Opportunities
Career Development
It is anticipated that demand for data analytics employees will continue to grow as analytics is viewed as a key competitive resource by many companies. Our dedicated Student Development Team within the Business School will be an integral part of your student experience from day one. We are here to help you become equipped to maximise your potential in the global market.
Graduate Employment
Organisations hold more information about their business environments than ever before. Increasingly, these organisations are recognising the role of data in gaining insights and out-thinking competitors. The worldwide big data analytics market was valued at US$ 37.34 billion in 2018 and is anticipated to grow at a compound annual growth rate of 12.3% to arrive at US$ 105.08 billion by 2027. This will inevitably lead to further growth of the market for employees in the area of analytics.
The programme prepares students to not only be able to analyse and digest data available but also to translate this into effective decision making. This MSc could lead to a multitude of roles, including:
- Business and management consultants
- Business analysts
- Data analysts
- Metrics and analytics specialists
- Operational research consultants
- Solutions architects