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Overview

For digital companies (and many traditional companies), machine learning and cloud computing promise to be two of the most important and potentially transformative technologies of the 21st Century. Whilst these concepts are not necessarily new, in recent years both fields have seen something of a revolution in terms of innovation and adoption. Cloud computing and Machine Learning are closely linked: cloud computing has provided the technology and computing power to fully realise the potential of machine learning, while machine learning methods represent the natural partner for the analysis of the vast datasets many modern companies store in their distributed, cloud database systems.

This specialism will prepare students with the necessary knowledge of cloud computing systems (including distributed data architectures, DevOps and cloud native computing) and modern, full-stack machine learning projects (including data engineering, artificial intelligence and MLOps).

NB. As an engineering-based specialism there will be a much greater emphasis on programming and software development, and students will be expected to have a demonstrable interest and some foundation in these topics. This may be through undergraduate studies, professional experience, or through other forms of additional training.

Course Modules

As part of this specialism, students will take a total of 120 CATs worth of modules, as listed below.

Research Project

The research element is worth 33% of your final grade (60 CATs). This project supports you in developing your personal research skills. If you opt for the Cloud & Machine Learning Engineering specialism, your project should focus on management or technology-related issues in companies involved with cloud computing and/or machine learning.

Date
Tuesday, 01 January 2019

Course content

Modules

As part of this specialism, students will take a total of 120 CATs worth of modules, as listed below.

Research Project

The research element is worth 33% of your final grade (60 CATs). This project supports you in developing your personal research skills. If you opt for the Cloud & Machine Learning Engineering specialism, your project should focus on management or technology-related issues in companies involved with cloud computing and/or machine learning.


Date
Friday, 01 February 2019

Entry requirements

Entry requirements

In order to meet our academic entry requirement, you should have obtained the minimum of a UK 2:1 undergraduate degree (or equivalent).

Candidates with a UK 2:2 (or equivalent) may be accepted upon demonstration of relevant professional experience.

We accept students from a wide range of academic disciplines onto the MSc in E-Business Management, however the Cloud and Machine Learning specialism is designed specifically for candidates with a technical background. You may have studied computer science or maths in your previous degree, or have been working in data science, machine learning, or programming. Students who do not have strong skills in Python will be invited to participate in a Python Boot-camp early in the course in order to ensure you are up to speed.

If you are not looking for a highly technical course, it may be worth considering the specialism in Data Science and Digital Operations instead.

Through your Statement of Purpose, our admissions team will review your rationale for selecting this course, and how you see it helping you to achieve your career goals. If these align with what the course will provide, and if you have sufficiently strong academic credentials, you will be deemed suitable for admission to the course.

e-Business Management is designed for people looking to operate effectively in the e-business environment and to manage or lead either the transformation of existing business processes or the creation of new e-business activity.


English language
If you are a non-native English speaker, we need to confirm that your English language competency is sufficiently good for you to get the most out of your Master's study. You therefore require you to take a SELT (Secure English Language Test) and submit your results as one of your academic requirements.
If you are taking an IELTS test, we require a score of 6.5 (with no less than 6.0 in any one component). Please view our web page here for a full list of accepted tests, together with the grades required.
Date
Friday, 01 March 2019

How to apply

Course code for MSc e-Business Management: P-H1S4
What you will need to provide
  • A completed application form and £60 application fee.
  • A Personal Statement which can be included in the online application.
  • A scan of your transcript (marksheet). If you are still studying, please send us your transcripts to date. NB: if you are made an offer, we will then require you to upload your online degree transcripts and certificate in order to clear your conditions.
  • English language test result (if applicable) - this can be submitted after you have an offer.
  • One reference. If you completed studies less than 2 years ago, this should be an academic reference. If you graduated more than 2 years ago, we will require a professional reference. We contact your referee directly, so please include their valid professional email address on your application form.
  • Candidates with professional experience should include their CV with their application.

You can read more about the application process, and access a link to the application form, on our how to apply web page.

Date
Monday, 01 April 2019

Fees and funding

Tuition fees

The tuition fee for 2022 entry is £16,338 for Home students and £29,950 for International students.

If you are successful in receiving an offer, a deposit payment is required in order to secure your place on the course. Further information about deposits will be communicated to you on receipt of your offer. You can also find more information about tuition fee deposits on our web page. Your remaining tuition fee is then payable at the start of the academic year, or in instalments. For information about how to pay your tuition fees, please review the University's finance web pages.


WMG Excellence Scholarships

WMG Excellence Scholarships are merit-based awards, available on a competitive basis. Awards range from 10% to 50% tuition fee discount.

Applications will be judged on past academic achievement, professional experience, reasons for study, and your vision for the future. View our WMG Excellence Scholarship page for full details on how to apply for this award.


Additional Scholarship opportunities

You might also be eligible to apply for other scholarships from the University of Warwick, such as the Warwick Taught Masters Scholarship Scheme; as well as awards from external funding bodies, including Chevening Scholarships. For additional funding opportunities and eligibility details, please visit our Funding web page.

Date
Wednesday, 01 May 2019

Employability

Employability and career prospects

Graduates of our e-Business Cloud and Machine Learning Engineering specialism will typically progress into careers with a focus on data engineering, building data pipelines, DevOps engineering, data science / machine learning engineering, and/or cloud engineering.

Typical roles could include:

  • Data Scientist
  • Machine Learning Engineering
  • MLOps Engineer
  • Data Engineer
  • Solutions Architect
  • DevOps Engineer
  • Cloud Engineer
  • Artificial Intelligence Specialist
WMG: a department embedded in industry

You'll be studying in an environment surrounded by professionals from a range of industries and sectors; including hearing directly from industry experts and guest speakers in many of our modules.

Throughout the year, we also host activities and events that will help you to understand potential career pathways including; seminars; external speakers; industrial visits; alumni talks and more. We encourage our students to make the most of the opportunities available to learn about career options for the future.

Warwick Careers Service

The University of Warwick's Careers Service offers specific careers support to WMG students, through a dedicated Careers Advisor, Siobhan Qadir. The service provides practical workshops and 1-1 appointments for our students covering many aspects of career choice and development, including: how to build a strong CV and write job applications; effective career planning and guidance; and how to enhance your interview and networking skills.

Additionally, each year, employers have a presence on campus, with careers fairs, presentations and guest lectures happening on a regular basis; meaning you'll have lots of exposure to potential employers.

There are also various events run throughout the year to develop your skillset and teach you how to market this to employers. Individual workshops are hosted on a variety of topics, such as networking and time management. Or for those interested in a more complete programme, you can partake in awards such as WMG Skills+ to develop your core employability skills, or the Intercultural Training Programme to strengthen your intercultural awareness. In addition, there is a wealth of online material available to help strengthen your industrial knowledge and build on employability skills, such as the WMG Virtual Careers Programme. Find out more about the support available to you by visiting our Careers and Employability page.

Alumni

We hope that your relationship with WMG and the University of Warwick will continue long after your graduate. The university and the department both have vast alumni networks and, upon graduation, you'll be a member of this ever-growing community of professionals working in countries around the world. You'll have access to our alumni support; events; e-mentoring scheme; amongst many other opportunities.

You can read about more about the careers and experiences of our alumni on our alumni profiles web pages.

      Date
      Saturday, 01 June 2019

      Student views

      What our students say
      Martina Di Donato

      "The Master's in e-Business Management gave me a strong competitive advantage when applying for my first work role, not only for degree’s good reputation in industry, but also for the knowledge of the digital world I have acquired during the year. I was offered a job before graduating and couldn’t be happier to put into practice what I’ve learned during the year at WMG".~ Read more from Martina

      Saknakosnak Prum

      "Modules brought together all of the important elements of today’s e-business. From digital marketing and finance to customer relationship management and supply chain, these are things you need to know if you’re going to make a real contribution to the future success of an organisation. The style of learning blended the academic and commercial worlds in a very powerful way, and meant that I wasn’t just learning new things, but exploring how to bring them alive in actual business situations". ~ Read more from Nak

      Di Li

      "The course format is different to those offered by many other universities. Each module is an intensive week of study followed by a few weeks to complete a post module assignment. This way of working felt a little bit strange at first, as it was different to what I was used to, but it actually makes a lot of sense. You have time to explore the subject in-depth and understand how the lessons can be put into practice in real business situations. You don’t just learn the theory, but learn how to use it” ~ Read more from Di Li

      Andra Ioana Rotaru

      "The course itself was very challenging, but also extremely stimulating and enjoyable. It is structured so that you gain lots of information in a very short space of time, but then you have a few weeks to research and study the subject in more depth as you work towards your assignment". ~ Read more from Andra

      Want to read more from current students and alumni?

      Find out what our current students think about studying at WMG Master's, by checking out our Student Blog web pages. And take a look at the study experiences and career journeys of some of our graduates over on our Alumni Stories web page.

      Date
      Monday, 01 July 2019

      Description

      Cloud and Machine Learning Engineering is one of five specialisms within our MSc e-Business Management course. This specialism will give you knowledge of cloud computing systems (including distributed data architectures, DevOps and cloud native computing) and modern, full-stack machine learning projects (including data engineering, artificial intelligence and MLOps).