Middlesex University London - MSc Data Science

Middlesex University London

MSc Data Science

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 MSc Data Science* 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.

Entry Requirements

  • Minimum 2:2 honours degree, or above, or equivalent in any subject
  • IELTS 

    6.5 (with 6.0 in each component)


    *MA Scriptwriting – must have minimum 6.5 overall with 6.5 in Reading, Listening and Speaking and a minimum 7.0 in Written component

  • TOEFL (IBT) 

    87 (with at least 21 in listening & writing, 22 in speaking and 23 in reading)


    *MA Scriptwriting - written component must be minimum 27

  • GCSE/IGCSE/O‐Level/International Cambridge O Level English (as a first or second language) 

    Grade C or 4 if taken in England since September 2016


    MA Scriptwriting overall grade B/3

Career Prospects

Graduates from this course can go on to work as:

  • Data Scientist
  • Data Engineer
  • Deep Learning Engineer
  • Data Analyst
  • Research Leader
  • Machine Learning Speciali

Course Details

Your studies will focus on the intertwining areas of machine learning, visual analytics and data governance. You will investigate theoretical underpinnings while gaining practical hands-on experience. You will build on your existing knowledge and skill base to gain key understanding that will be readily applicable for a career in data science.

Modules

Modelling, Regression and Machine Learning (30 credits) - Compulsory
Visual Data Analysis (30 credits) - Compulsory
Applied Data Analytics: Tools, Practical Big Data Handling, Cloud Distribution (30 credits) - Compulsory
Legal, Ethical and Security Aspects of Data Management (30 credits) - Compulsory
Individual Data Science Project (60 credits) - Compulsory

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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