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GMAT
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Age
£39K
Avg. Cost of Study
12
Months Duration
NA
Avg. Salary
Competitive advantage and innovation in the digital world involve the accurate analysis and insights offered by big data – huge data sets that are constantly being generated – in order to improve effectiveness and efficiencies across several business areas, such as operations management and marketing.
In order to exploit the insights provided by big data, business analytics and the effective use and understanding of data is crucial. This is a rapidly developing field, which is exhibiting massive demand from industry for qualified individuals in this area to take up roles in management globally.
You will develop your knowledge of the organisation, administration and governance of this data, as well as hone your analytical, organisational and leadership skills. The programme is designed for students who wish to pursue a career in this dynamic field or continue their studies to PhD level.
Developed in collaboration with industry contributors and partners including PepsiCo and AstraZeneca, the programme is also underpinned by multidisciplinary research.
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FT Rankings
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QS Ranking
There are many reasons why you might choose to study the MSc Business Analytics and Big Data at Liverpool Management School (ULMS). Here are just a few:
£28,500
Avg. Cost of Tuition
+
£11,115
Avg. Living Cost/Quarter
Avg. Cost of Study
The total cost of the MSc Business Analytics and Big Data program at the University of Liverpool in the 2023-24 academic year is as follows:
Therefore, the total cost of the program for international students is £38,115.22.
Living expenses can vary depending on your lifestyle and spending habits, but the University of Liverpool estimates that international students should budget for around £11,115.22 per year to cover the cost of accommodation, food, transportation, and other expenses.
Here is a breakdown of some of the typical living expenses for international students in Liverpool:
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Through exposure to strategic initiatives in the management of Big Data, as well as case-based workshops and practical application developments for data mining, analysis and visualisation using industry-leading software, graduates of the programme shall find themselves well-equipped to meet the many challenges associated with strategic, operational and technological adaptation in the digital enterprise.
Alumni have secured jobs with the following companies:
Normally a Physics, Mathematics, Computing, Engineering, Management or related disciplines at 2:1 standard from a UK university, or an equivalent academic qualification from a similar non-UK institution is required.
Non-graduates with very extensive professional experience and/or other prior qualifications may also be considered.
You’ll need to demonstrate competence in the use of English language. International applicants who do not meet the minimum required standard of English language can complete one of their Pre-Sessional English courses to achieve the required level.
| English language qualification | Requirements |
|---|---|
| GCSE | Grade C |
| IELTS | C View IELTS academic requirements key. |
| International Baccalaureate | Standard Level (Grade 5) |
| INDIA Standard XII | 70% or above from Central and Metro State Boards |
| WAEC | C6 |
| Hong Kong use of English AS level | C |
| Cambridge Proficiency | C |
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If an external organisation (ie not a friend/relative) is responsible for payment of all or part of your tuition fee, the University will invoice them directly. You must provide the Student Fees Office with an official sponsor letter or purchase order (on official letter headed paper) from your sponsor on or before you register. A new letter relating to each academic year must be provided prior to the start of that year.
Please email proof of sponsorship to [email protected].
Proof of sponsorship must show the value and duration (eg one year, three years) of the sponsorship together with the name and address of where the University should send the invoice. The University will keep this letter for its records. If you do not provide this letter, the University will consider you to be self-financing and shall expect you to pay your own fees, using one of the self-financing options.
As a sponsored student, you are responsible for making sure that your tuition fees are paid. Should your sponsor fail to pay your tuition fees (in line with our terms of trade), the invoice will be cancelled and the debt transferred to your fee account for you to pay directly to the University.
If your sponsor has not paid your tuition fees you will not be permitted to graduate or receive any awards from the University.
The 12-month programme consists of five compulsory modules and three optional modules followed by the Main Project over the summer period on completion of Semester two (a choice of either EBUS635 or EBUS621).
To be eligible for the MSc Business Analytics and Big Data, you must have a bachelor’s degree in a related field, such as business, management, information technology, or mathematics. You should also have a strong quantitative background and experience using statistical software.
In the MSc Business Analytics and Big Data, you will learn a variety of skills, including:
The program uses a combination of lectures, tutorials, and practical exercises. You will also have the opportunity to work on a real-world business analytics project.
The MSc Business Analytics and Big Data is a highly regarded program that is accredited by the BCS, The Chartered Institute for IT. The program is also ranked among the top 100 business analytics programs in the world by QS World University Rankings.
Students on the MSc Business Analytics and Big Data often enjoy the opportunity to learn from experienced faculty and industry professionals. They also appreciate the opportunity to work on real-world business analytics projects.
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