• Toll free: 1800 258 5772

Middlesex University London

London , England ,United Kingdom

Data Science MSc with Integrated Placement

Overview
All industries now utilise data and Data-Science and Data-Analytics are increasingly identified as key industrial activities.  The position of Data Scientist is rapidly becoming a required post for any company that wishes to take full advantage of the data that they collect. This course is designed to give you the skills to step into a career as a Data Scientist in a wide range of industries and companies.

Why study the MSc Data Science with Integrated Placement at Middlesex University?
This masters has been designed to offer those with a familiarity in maths, science or computing an opportunity to develop a key set of skills for future employment in a way that builds on your existing knowledge and skill base. Upon completing the course, you will be ready to fulfil the requirements of a Data Scientist.

You will focus on the intertwining areas of machine learning, visual analytics and data governance, and be able to strike a balance between theoretical underpinnings, practical hands-on experience, and acquisition of industrially-relevant languages and packages. You will also be exposed to cutting-edge contemporary research activity within data science that will equip you with the potential to pursue a research-based career, and, in particular, further PhD study at Middlesex.

Course highlights

  • Explore theoretical and practical aspects with industry-recognised skills
  • Study a course that is unique in its fusion of machine-learning, visual analytics and corporate data governance
  • Equip yourself to apply machine learning and visual analytics to any data source.

As part of this course, you can do an optional three month or one year industry placement.  Programmes with integral placements give you the opportunity to apply the skills you have learned throughout your studies in a practical environment. You will be earning a full time salary and will learn skills that can't be taught in a classroom at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project and into your future career.

Although the placement is not guaranteed, the University maintains links with a wide network of organisations who offer placement opportunities. The University will also provide you with full support to help you secure a placement, from job application to the interview.

In order to qualify for the placement period you must have passed all modules in the semesters preceding the placement. The placement will take place after you have completed all your modules and undertaken your final applied project.

Study Mode:- 12 months placement

Intakes

  • Oct

Application Processing Time in Days: 30

Application Process

More information Required
10 Days
Possible Interview Call from Institution
10 Days
Provisional/ Unconditional Offer
20 Days
Visa Process
15 Days

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

Admission Requirement / Eligibility Criteria

Qualifications
We accept the equivalent of the above qualifications from a recognised overseas qualification:

  • A 2:2 honours degree in a related subject, such as those providing a significant exposure to information technology
  • Applicants with degrees in other fields who can demonstrate relevant industrial experience may also be considered.

To find out more about the qualifications we accept from your country please visit the relevant support in your country page. If you are unsure about the suitability of your qualifications or would like help with your application, please contact your nearest regional office for support.

Academic credit for previous study or experience
If you have relevant qualifications or work experience, academic credit may be awarded towards your Middlesex University programme of study. For further information please visit our Accreditation of Prior Learning page.

Visas and immigration
You will not need a visa to study in the UK if you are a citizen of the European Union, Iceland, Liechtenstein, Norway or Switzerland. If you are a national of any other country you may need a visa to study in the UK. Please see our visas and immigration page for further information.