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Different course options

Full time | Middlesex University | 1 year | SEP-25

Study mode

Full time

Duration

1 year

Start date

SEP-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Science Informatics

Course type

Taught

Course Summary

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 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.

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

Careers

How can the MSc Data Science support your career?

Upon completing the course, you will be well placed to step into a career as a data scientist in a wide range of industries and companies.

You could also consider continuing your studies to PhD level.

Modules

This course will provide an in-depth of the tools and systems used for mining massive dataset and, more in general, an introduction to the fascinating emerging field of Data Science. The module is divided in two parts: The first part focuses on the language R, a statistical learning language used to learn from data. This part provides an overview of the most common data mining and machine learning algorithms and every discussed concept is accompanied by illustrative examples written in R language. The second part of the module takes a tour through cloud computing and big data systems and teaches the participant how to effectively use them. Specifically, platforms and systems like OpenStack, Hadoop, MapReduce, MongoDB, Spark and NoSQL databases are introduced and every concept is accompanied by a number of illustrative examples.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£11,000

International fees
Course fees for EU and international students

For this course (per year)

£17,300

Entry requirements

Students need to have a 2:2 honours degree in a mathematically or computationally literate degree area. Students with degrees in other fields who can demonstrate relevant industrial experience may also be considered. We also normally require Grade C GCSE or an equivalent qualification.

University information

Welcome to Middlesex University London! We are a top 2 university in the UK (THE Young Universities 2022), offering a range of specialist postgraduate courses designed to help you achieve your career goals and get the future you want. With sister campuses in Dubai and Mauritius and links in over 55 countries, the university provides unique opportunities for work and study. Based in North London, its safe, leafy campus offers world-class...more

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