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Masters
Middlesex University
Data Science MSc
Middlesex University

Data Science MSc

MIDDLESEX UNIVERSITY

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Study mode

Full time

Duration

1 year

Start date

SEP-26

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Science

Course Summary

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.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.1 year full-timeJanuary 2024September 2024

Modules

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

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£11,700

International fees
Course fees for EU and international students

For this course (per year)

£18,600

Entry requirements

A minimum 2:2 honours degree in computer science, or a minimum 2:2 in a relevant subject (such as maths, physics, or engineering), or two or more years of relevant working experience (such as programming, data analytics or machine learning); Graduate-level professional qualifications.

University information

Middlesex University-Overview
Uni profile Get prospectus

Students don’t just come to Middlesex University to study, they come to move forward. Postgraduate study at Middlesex is designed to help students master their futures on their own terms. A postgraduate degree at the university allows students to take the next step in their career, shift direction, or pursue something they’ve always wanted to do. At Middlesex, postgraduate students can undertake a master’s course or a research degree at a...more

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