MSc Data Analytics
This Data Analytics MSc will teach you the core mathematical principles of data analysis and how to apply these to real world scenarios. Building on the statistical foundations of machine learning you’ll then choose from module options which explore the financial, business and scientific applications; such as in trading and risk systems, optimisation of business processes, and relationships across complex systems.
Data science is the driving force behind today’s most successful businesses. In our data-driven economy, companies are seeking highly numerate data experts who can use statistical techniques and the latest technologies to extract clear insights to inform every aspect of their strategy and operations. From financial corporations, to AI start-ups, and across the technology, retail and healthcare industries, highly sought-after Data Scientists can earn over £56k per year on average (according to Indeed.co.uk, UK figures).
Why study with us?
We’re looking for numerate students with an interest in problem solving and some understanding of probability or statistics. You don’t need to be a programming expert before you join us; you’ll get to discover a variety of industry-standard tools (such as R and Python) to allow you to choose which technologies you want to specialise in.
You’ll be taught by our expert academics, who include former industry practitioners with many years’ experience. Many of them are Fellows of the Alan Turing Institute and members of Queen Mary’s Institute of Applied Data Science.
Over the summer you will work on a research project in an area of interest, developing strong applied data science research skills and putting your learning into practice. You may choose to collaborate with one of our industry partners on a real-world data problem.
Intakes
- Sep
Application Processing Time in Days: 30
Application Process
Minimum English Language Requirements
English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
---|---|---|---|---|---|
Expert | 9 | 120 | 297-300 | 86-90 | |
Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
Very Good | 8 | 110-114 | 270-280 | 79-83 | |
Good | 7.5 | 102-109 | 253-267 | 73-79 | |
Good | 7 | 94-101 | 240-253 | 65-73 | |
Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
Competent | 6 | 60-78 | 170-210 | 50-58 | |
Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
Modest | 5 | 35-45 | 107-133 | 36-43 | |
Limited | 4 | 32-34 | 97-103 | 30-36 | |
Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
Careers support
The services we offer to support your career development include:
- one-to-one appointments to help you with your career direction, give feedback on job applications, offer insight into the job market and prepare you for interviews
- workshops to support your career development and job hunting
- employer events attracting recruiters and alumni from a rich range of sectors
- support for finding internships and parttime jobs
- specialist careers consultants to support PhD students through appointments, events and workshops.
Support for international students
- We offer a programme of support for international students throughout the year, which involves talks on how to find graduate work in the UK and an International Students Week featuring external speakers.
- Students can search for jobs across the world with our international jobs database, as well as browse our guides on getting work in particular markets.
- All students have access to a rich programme of employer events and career development workshops, running across the University year.
Support after graduation
Our careers support continues after you leave Queen Mary.
- All graduates have access to our Careers and Enterprise services for two years after graduation.
- You can have -
free one-to-one appointments in person, over the phone or via Skype
Attend our employer events
use our online psychometric testing and mock-interview software
access our jobs board – over 3,000 employers uploaded vacancies in 2018/19.
Queen Mary graduates have gone on to work in these organisations:
• Accenture • Allen & Overy • Arup • AstraZeneca • Baker McKenzie • Barts Health NHS Trust • European Central Bank • Fintech Innovation Lab • Google • HSBC • IBM • Institute of Cancer Research • Institute of Dentistry • J.P. Morgan • Jaguar Land Rover • Lloyds Banking Group • Natural History Museum • Penguin • PwC • Queen Mary • Save the Children • Shell • Stella McCartney • Thales • Thomson Reuters • World Economic Forum ...and many more!
Careers success
93% of our postgraduates are in work and/or study six months after graduation. 84% of those in work/study are in highly skilled work/study (most recent DLHE Survey of 16/17 leavers)*
Enterprise support
Many students and graduates across Queen Mary start or grow their own business or social venture each year. In 2018/19, Queen Mary gave out £45,000 in seed funding to help students start new, or grow existing businesse
PSW Opportunity
- 2 Years PSW is applicable after the course completing (Bachelors level or above).
Admission Requirement / Eligibility Criteria
Degree requirements
- A 2:1 or above at undergraduate level in a subject with substantial mathematical content.
India
We normally consider the following qualifications for entry to our postgraduate taught programmes: Bachelor Degree (minimum 3 years) from selected institutions.
- UK 1st class degree: 70% to 80%
- UK 2:1 degree: 60% to 70%
- UK 2:2 degree: 50% to 60%
Offer conditions will vary depending on the institution you are applying from. For some institutions/degrees we will ask for different grades to above, so this is only a guide.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
-
Total Tuition Fee:
25950 GBP
Annual Cost of Living: 12006 GBP
Application Fee: N/A
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