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Economics for Business Intelligence and Systems MSc – 1 year full-time
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At the beginning most of them may seem to be very challenging, but when you do the readings and take goods note that you often revise, there's no worry. Thanks for everything.
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Master
In Bath ()
Description
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Type
Master
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Duration
1 Year
As businesses seek to innovate and develop in the 21st century, there is a growing need for economists with broader knowledge and skills, who can effectively input into new products and policies.
This is borne out in The UK Government’s ‘Industrial Strategy – Building a Britain fit for the future, which calls for a new type of university graduate and manager: one who can operate successfully at the interface of economics, business, mathematics and computer science.
Bringing together extensive expertise from across the Departments of Economics, Computer Science and Mathematical Sciences, and the School of Management, this MSc sets out to educate and prepare economically literate scientists, and scientifically confident economists, for the future.
The course has a strong quantitative focus, while also covering other relevant areas such as computer programming, software development and econometrics. You will learn to apply economic and mathematical units and programs to real-business problems, while building a compelling set of skills in areas such as data analysis, data mining, software applications and statistics.
About this course
The cross-disciplinary nature of the course makes it noticeably different from other economics master’s course. You will be taught by subject specialists in each field, allowing you to study each topic in greater depth. Developed with close input from well-known employers, and the relevant departments from across the University in combination, the course offers a coherent, and mutually-complementary, mix of technical and soft skills.
Your strong disciplinary grounding in both quantitative economics and business will make you sought after across multiple industries and sectors.
Your skills will be particularly relevant to technology companies, consultancy firms, and finance and banking organisations, but also applicable to other business sectors, government and academia.
You could go on to work as a data analyst, credit analyst, financial analyst, economist or business analyst.
You could also progress your studies to doctoral level.
You will normally need one of the following:
IELTS: 7.0 overall with no less than 6.5 in all components
The Pearson Test of English Academic (PTE Academic): 69 with no less than 62 in any element
TOEFL IBT: 100 overall with a minimum 24 in all 4 components
If you need to improve your English language skills before starting your studies, you may be able to take a pre-sessional course to reach the required level.
Reviews
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At the beginning most of them may seem to be very challenging, but when you do the readings and take goods note that you often revise, there's no worry. Thanks for everything.
← | →
Course rating
Recommended
Centre rating
mn2cbi
This centre's achievements
All courses are up to date
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
- Data Mining
- Data analysis
- Economics
- Full Time
- Business Intelligence
- Conditions
- Structure
- Research
- Research Design
- Research design and statistics Professional
- Programmes
Course programme
Occasionally we make changes to our programmes in response to, for example, feedback from students, developments in research and the field of studies, and the requirements of accrediting bodies. You will be advised of any significant changes to the advertised programme, in accordance with our Terms and Conditions.
Compulsory course units
These compulsory units are currently being studied by our students, or are proposed new units.
Semester 1
You will study topics covering economics, game theory, programming, software engineering, databases and business intelligence.
Semester 2
You will study advanced topics in game theory and mechanism design, along with experimental methods. You will also study financial derivatives, options pricing, machine learning, data mining, econometrics and programming applications.
Summer
You will complete a practice track project.
Learning and assessment
Learning
- Field course
- Design projects
- Video materials
- Interaction and networking
- Laboratory sessions
- Lectures
- Online resources
- Practical sessions
- Seminars
- Tutorials
- Workshops
- Real-life case studies
- Blog
- Coursework
- Data analysis practical
- End point assessment
- Essay
- Multiple choice examination
- Online web-forum contributions
- Oral assessment
- Practical work
- Presentations
- Residential
- Seminar
- Take-home examination
- Written examination
- Other
Additional information
Overseas deadline 30 June 2020
Economics for Business Intelligence and Systems MSc – 1 year full-time