Our MSc Applied Data Science is a conversion course specifically designed for students without prior experience of university-level mathematics or statistics, who want to be part of our fast-growing digital economy (students with some mathematical experience may consider our MSc Data Science and its Applications). The course will build upon your undergraduate degree in the humanities, social or life sciences, or business studies, giving you postgraduate-level skills in essential data science methods with various applications, covering case studies and applications of AI and data using a balance of methods and practical application.
The course introduces you to programming with the R language and as well as text analytics. Relational databases and SQL are developed and used for relevant applications from humanities, life sciences, linguistics, marketing and social science. The course encourages statistical thinking by data visualisations and guides you to develop your creativity within a scientific framework.
You cover topics such as:
The leading department on this course, our School of Mathematics, Statistics and Actuarial Science, is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. The School of Mathematics, Statistics and Actuarial Science and our School of Computer Science and Electronic Engineering are working together with other departments across the University to deliver optional modules and summer projects with Essex Business School, the Department of Language and Linguistics, the School of Life Sciences, the School of Philosophical, Historical and Interdisciplinary Studies, and the Department of Psychology. Our course also benefits from many Knowledge Transfer Partnerships which support students through placements and an interdisciplinary outreach culture.
The University of Essex is committed to transformational education and inclusion, focused on learning opportunities for every student, responsive to our students’ needs and aspirations. Our MSc Applied Data Science reflects this by supporting every student, from every background, and removing the barriers to their education.
This course is developed in collaboration with industry partners and public sector organisations, which include BT, Profusion, Essex County Council, Essex Police, and Suffolk County Council. Our active links with industry can broaden your employment potential and offer placement opportunities.
Suitably-qualified applicants may be eligible for a scholarship as a stipend or towards their tuition fees.
This course is available on a full- and part-time basis, starting in October. You can also start this course in January, but this option is only available to those who wish to study full-time.
Today’s data scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our staff are driven by creativity and imagination as well as technical excellence. We conduct world-leading research in areas such as artificial intelligence, explorative data analysis, machine learning, classification and clustering, evolutionary computation, data visualisation and financial forecasting. Specialist staff at Essex working on data science across our departments include:
With a predicted shortage of data scientists, now is the time to future-proof your career. Applied data scientists with undergraduate skills in the humanities, social or life sciences are required for the designing and carrying out of statistical analysis or mining data, so our course opens the door to almost any industry, from health, to government, to publishing.
Our graduates are highly sought after by a range of employers and find employment in financial services, scientific computation, decision making support and government, risk assessment, statistics, education and other areas. Our recent graduates have gone onto work as data scientists and data analysts in both the private and public sectors.
We also offer supervision for PhD, MPhil and MSc by Dissertation.
We additionally work with our Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.
A 2:2 degree, or equivalent, in any discipline.
Applicants with a strong background in Science, Technology, Engineering & Mathematics (STEM) may be considered for the MSc Data Science and It's Applications. We encourage you to consider this as a choice if you come from a STEM background.
We accept a wide range of qualifications from applicants studying in the EU and other countries. Get in touch with any questions you may have about the qualifications we accept. Remember to tell us about the qualifications you have already completed or are currently taking.
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IELTS overall score of 6.0 with a minimum of 5.5 in all components.
We offer a flexible course structure with a mixture of core/compulsory modules, and optional modules chosen from lists.
Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field. The course content is therefore reviewed on an annual basis to ensure our courses remain up-to-date so modules listed are subject to change.
The structure below is representative of this course if taken full-time. If you choose to study part-time, the modules will be split across two years.
Please note that if you are studying full-time (either starting in October or January) there is no second year; you will develop your dissertation throughout the course of your single year.
We understand that deciding where and what to study is a very important decision for you. We’ll make all reasonable efforts to provide you with the courses, services and facilities as described on our website. However, if we need to make material changes, for example due to significant disruption, or in response to COVID-19, we’ll let our applicants and students know as soon as possible.
Components are the blocks of study that make up your course. A component may have a set module which you must study, or a number of modules from which you can choose.
Each component has a status and carries a certain number of credits towards your qualification.
|Status||What this means|
||You must take the set module for this component and you must pass. No failure can be permitted.
|Core with Options
||You can choose which module to study from the available options for this component but you must pass. No failure can be permitted.|
||You must take the set module for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.|
|Compulsory with Options
||You can choose which module to study from the available options for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.
||You can choose which module to study from the available options for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.|
The modules that are available for you to choose for each component will depend on several factors, including which modules you have chosen for other components, which modules you have completed in previous years of your course, and which term the module is taught in.
Modules are the individual units of study for your course. Each module has its own set of learning outcomes and assessment criteria and also carries a certain number of credits.
In most cases you will study one module per component, but in some cases you may need to study more than one module. For example, a 30-credit component may comprise of either one 30-credit module, or two 15-credit modules, depending on the options available.
Modules may be taught at different times of the year and by a different department or school to the one your course is primarily based in. You can find this information from the module code. For example, the module code HR100-4-FY means:
The department or school the module will be taught by.
In this example, the module would be taught by the Department of History.
|The module number.||
The UK academic level of the module.
A standard undergraduate course will comprise of level 4, 5 and 6 modules - increasing as you progress through the course.
A standard postgraduate taught course will comprise of level 7 modules.
A postgraduate research degree is a level 8 qualification.
The term the module will be taught in.
COMPONENT 01: COMPULSORY WITH OPTIONSCE156-7-SP or MA214-7-SP
COMPONENT 02: COMPULSORY
COMPONENT 03: COMPULSORY
COMPONENT 04: COMPULSORY
COMPONENT 05: COMPULSORY
COMPONENT 06: COMPULSORY
COMPONENT 07: COMPULSORY
COMPONENT 08: COMPULSORY
COMPONENT 09: COMPULSORY
COMPONENT 01: CORE WITH OPTIONSMA981-7-AP or MA983-7-AU
We hold Open Days for all our applicants throughout the year. Our Colchester Campus events are a great way to find out more about studying at Essex, and give you the chance to:
If the dates of our organised events aren’t suitable for you, feel free to get in touch by emailing firstname.lastname@example.org and we’ll arrange an individual campus tour for you.
We aim to respond to applications within two weeks. If we are able to offer you a place, you will be contacted via email.
For information on our deadline to apply for this course, please see our ‘how to apply’ information.
Applicants with an undergraduate degree from our School of Mathematics, Statistics and Actuarial Science, or who are working towards one, should first contact our admissions staff: email@example.com.
If you live too far away to come to Essex (or have a busy lifestyle), no problem. Our 360 degree virtual tour allows you to explore the Colchester Campus from the comfort of your home. Check out our accommodation options, facilities and social spaces.
Our staff travel the world to speak to people about the courses on offer at Essex. Take a look at our list of exhibition dates to see if we’ll be near you in the future.
At Essex we pride ourselves on being a welcoming and inclusive student community. We offer a wide range of support to individuals and groups of student members who may have specific requirements, interests or responsibilities.
The University makes every effort to ensure that this information on its programme specification is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to courses, facilities or fees. Examples of such reasons might include, but are not limited to: strikes, other industrial action, staff illness, severe weather, fire, civil commotion, riot, invasion, terrorist attack or threat of terrorist attack (whether declared or not), natural disaster, restrictions imposed by government or public authorities, epidemic or pandemic disease, failure of public utilities or transport systems or the withdrawal/reduction of funding. Changes to courses may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications. The University would inform and engage with you if your course was to be discontinued, and would provide you with options, where appropriate, in line with our Compensation and Refund Policy.
The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and Ordinances and in the University Regulations, Policy and Procedures.
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