12Mar
PostgraduateCourse summary
The growing availability of huge amounts of data in business and industry is generating a high demand for graduates able to handle and exploit big data. Using sophisticated analytics techniques, including social network visualization and sentiment analysis, and professional software packages, including R dplyr and ggplot2, you will gain the skills and knowledge to transform data into commercial value and boost your employability. 1 year full-time (+ optional placement).
- Equipping applicants from almost all undergraduate degrees with broad professional competence in one of the world economy’s most sought-after postgraduate subject areas.
- Offering an equal number of taught credits in the three areas of data modelling, computing and business, with a wide choice of available business modules.
- Providing a flexible individual project in one or more of the three taught areas supervised by world-leading subject experts.
- Establishing high proficiency in the use and application of state-of-the-art programming languages including R.
- Developing modern analytics expertise for obtaining business, scientific and social insights from Big Data sources and social networks such as Facebook and Twitter.
- Consult eBooks to support your learning and receive a free Apple iPad mini to stay-up-to date, wherever you are.
- Enjoy teaching from leading academics: for example, in the UK 2014 Research Excellence Framework 68 per cent of our mathematics and statistics research papers were classified as World Leading or Internationally Excellent.
Modules
Throughout the programme you will learn how to master sophisticated analytics techniques and professional software, including R, to handle and exploit big data, and to work as part of a project team. You will also develop practical and professional competence in data science and business analytics, and will be able to make strategic decisions in a broad range of business related practical situations. Core modules:
- Masters Stage 1 Placement Preparation
- Computational Problem Solving and Computer Systems
- Big Data and Social Network Visualization
- Modelling and Analytics for Data Science
- MSc Project
- Software Development and Databases
- International Finance
- Financial Statement Analysis
- Financial Management
- Branding and Marketing Communications
- Social Media Practice
- Relationship Marketing and CRM
- Global Supply Chain Management
- International Strategic Management
- Operations and Project Management
Assessment method
For up to date details, please refer to our website or contact the institution directly.
Qualified teacher status (QTS)
To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:
- Course does not award QTS
How to apply
International applicants
The University of Plymouth has a dedicated International Student Advice (ISA) service who will support you from the day you accept an offer at the University, right through to graduation. They will offer help and advice so you can get the most out of your studies, and your time in the UK, visit www.plymouth.ac.uk/student-life/services/international-students/international-student-advice for more information. Once you have applied, your conditional offer letter will also be sent to you by email, so be sure to enter your current email address on your application and to check this email regularly. You'll need your unconditional letter, and the Confirmation of Acceptance for Studies (CAS) that we'll send you, when applying for your student visa to the UK. A tuition fee deposit will be required before we'll send you the CAS. We're a licenced Sponsor under the Points Based System. To comply with our duties as a Sponsor, we're required to check other aspects of your application in addition to your academic achievements, for example any previous studies, financial status and your immigration history in the UK. For course entry requirements (inc. English requirements) please refer to the specific page for the course you are interested in (www.plymouth.ac.uk/study). A recognised English language qualification (e.g. IELTS) would be required or successful completion of one of the University's pre-sessional English Language courses. Check our country pages to find out more about application from your specific home country www.plymouth.ac.uk/international/study/international-students-country-guides. International fees, please visit our fees and funding pages www.plymouth.ac.uk/study/fees. If you have any questions please contact [email protected]
Entry requirements
A good Honours degree, 1st or 2nd Class, or equivalent, in any discipline. * Applicants whose first language is not English will require an appropriate English Language qualification. * Prior knowledge of data analysis or statistics and/or work experience are not necessary.
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6.5 | With 5.5 in all elements. |
Full details of English Language requirements can be found on our website.
English Language Requirements
https://www.plymouth.ac.uk/international/how-to-apply/english-language-requirements
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
For all information about tuition fees, please visit our fees and funding pages at www.plymouth.ac.uk/study/fees
* Fees are correct at the time of publication and may be subject to change.
Provider information
University of Plymouth
Drake Circus
Plymouth
PL4 8AA