TWO YEARS, PART-TIME
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Data Science, in particular, coupled with Artificial Intelligence, promises to provide the tools for enhanced technologies, business models and decision making across a large number of fields, from industrial automation, manufacturing, transport, banking, cybersecurity to health and social care.
Through working on real-world datasets and industry-simulated projects, you’ll acquire the skills and knowledge required to apply the latest in advanced Data Science tools and techniques, such as Data Engineering and Deep Learning.
Over the two year course, you’ll study primarily online via digital learning management systems and attend a hackathon-style bootcamp on Anglia Ruskin University’s Cambridge campus in year two.
Due to the specialist nature of this course, applicants are required to pass a proficiency quiz in Python before submitting an application for the course.
- First or second class honours degree in a scientific discipline
- At least A level Maths or Statistics (or equivalent)
- Intermediate level knowledge of Python (Tested via online pre-qualifier quiz)
- If English is not your first language, you will be expected to demonstrate a certificated list of proficiency of at least IELTS 6.5 or above.
Applicants who do not meet the above requirements may be also considered on a case-by-case basis and may require an interview.
University’s standard procedures for admission with credit will apply where candidates wish to be considered for Accredited Prior Learning (APL) and Accredited Prior Expediential Learning (APEL) for entry into year 2 or later of the course.
How you’ll learn and be assessed
Your course will be taught primarily online. Online modules will be delivered via Canvas, ARU’s digital learning platform; and K.A.T.E.® (Knowledge Assessment Teaching Engine) which is Cambridge Spark’s innovative AI-powered learning platform, which provides instant feedback on code within an industry-simulated environment.
Assessment will be via a variety of methods, including time-constrained assessments, coursework assignments and projects.
The dissertation project and module case studies assess your ability to analyse situations, identify key issues, select, synthesise and apply techniques and skills from different modules – as well as your ability able to evaluate the appropriateness of their solutions when compared to industrial practice.
How you’ll be supported on your journey
During the Master’s programme, you’ll gain the technical and domain knowledge to accurately predict trends, optimise performance, improve decision making and increase business competitiveness upon completing the degree.
In addition to this, you’ll have access to Anglia Ruskin University’s Employability Service – providing you with specialist career guidance and support to enable you to have the best chance at landing the job you want.
As a distance learning student, you’ll also benefit from help and advice on writing CVs, undertaking interviews and looking for jobs, helping you stand out from other applicants.
Learn more and start your application
If you have any questions regarding the course or you’re looking to start your application today, please complete the below form and our head of admissions will be in touch within one working day.
Alternatively, if you’d prefer to book a call when it suits you, please click here now.
There is a recognised significant skills gap in Data Science-based systems specialists in the industry, nationally and internationally. This is despite data scientist roles growing over 650% since 2012, with Machine Learning Engineers, Data Scientists, and Big Data Engineers ranking among the top emerging jobs*.
*(U.S. Bureau of Labor Statistics).
Employers have highlighted the importance of data science and its potential to revolutionise a number of industries, from social sciences, physics and engineering to market analysis and banking, while creating significant employment opportunities for data analysts, machine learning specialists and data specialists.
Due to the specialist nature of this course, applicants are required to pass a proficiency quiz in Python before submitting an application for the course. To find out more please contact Anglia Ruskin University at firstname.lastname@example.org or call (0)1245 686 707.– First or second class honours degree in a scientific discipline
– At least A level Maths or Statistics (or equivalent)
– Intermediate level knowledge of Python (Tested via online pre-qualifier quiz)
– If English is not your first language, you will be expected to demonstrate a certificated list of proficiency of at least IELTS 6.5 or above.Applicants who do not meet the above requirements may be also considered on a case-by-case basis and may require an interview.University’s standard procedures for admission with credit will apply where candidates wish to be considered for Accredited Prior Learning (APL) and Accredited Prior Expediential Learning (APEL) for entry into year 2 or later of the course.
No problem! If you have a bachelors degree but are lacking in the technical side of the requirements, we recently introduced our Applied Data Analytics Bootcamp in London to enable you to meet the programming prerequisites of the Applied Data Science Bootcamp, covered across five intensive weekends.
Additionally, if you’re applying for the first intake in 2019, you also have the option of attending the Introduction to Python Bootcamp in Cambridge, taking place 14 – 16 August. Click here now to learn more and enrol.
Anglia Ruskin University’s Employability Service is there to help give you the best chance of landing the job you want. They’ll help you to improve your skills and bulk up your CV to improve your career prospects.
As a distance learning student, you’ll still benefit from help and advice on CV writing, interview techniques, job hunting, and general careers advice.
To find out more please visit their careers advice page.
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