MSc Data Science

Advance your career in Data Science and Artificial Intelligence with our remote learning Masters, in collaboration with Anglia Ruskin University

SEPTEMBER 2019
APPLY NOW

TWO YEARS, PART-TIME
DISTANCE LEARNING

WANT TO LEARN MORE?
CALL + 44 (0)7816 419378
EMAIL contact@cambridgespark.com

Who is the course for?

The Masters programme is suitable for individuals:

  • With a first or second class (Hons) bachelors degree (exceptions may apply)
  • With Maths or Statistics A-Levels, or equivalent (exceptions may apply)
  • With an intermediate level of Python programming skills
  • With a proven English language proficiency of at least IELTS 6.5 or above, if English isn’t your first language
  • Looking to transition to the Data Science field, upskill to learn how to apply advanced Data Science techniques to their roles, or reskill to remain relevant within their field

Key features

  • Part-time, remote learning
  • Machine Learning Bootcamp in year two
  • Assessed via time-constrained assignments, coursework assignments and projects
  • Real-world projects in a work-simulated environment across each module, enabling learners to build up a Data Science portfolio to evidence skills to employers
  • Employability and careers support

Overview

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.

Modules

Prerequisites

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. 

K.A.T.E.® Screen

How you’ll be supported on your journey

data

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.

CALL

+ 44 (0)7816 419378

EMAIL

contact@cambridgespark.com

FAQs

  • 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.

In collaboration with

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