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Data Science MSc, PGDip and PGCert

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Informatics

Course type

Taught

Course Summary

Learn how to apply technology to real world data science problems and gain an in depth understanding of emerging technologies, statistical analysis and computational techniques.

By studying this degree you will:

have the option to study one of the specialist pathways in Artificial Intelligence or Financial Technology
address skills required by data scientists to drive improvements in organisational performance
have the opportunity to create your own data analysis projects
earn a prestigious qualification that is valued across the globe.

The MSc Data Science degree can be completed in one year or up to five years, depending on module availability. Each module is studied over 22 weeks and requires an average of five to seven study hours per week.

You can choose whether you want to enrol:

as a web supported learner: this means you’ll join an online group, where your tutor will provide support via discussion groups.
or
with a Recognised Teaching Centre (where available). You’ll be able to attend face-to-face classes and meet up with other students on your course.

Study materials

Once you register, you will be able to access a range of resources and study materials on computers, tablets and other mobile devices through a Virtual Learning Environment (VLE).

Online support

When you register, we will give you access to your Student Portal. You can then access your University of London email account and two key resources:

On the VLE you can access electronic copies of all printed study materials, resources including audio-visual, and forums to discuss course material and work collaboratively with others.
Access to academic support and feedback from London-based support teams. Tutors introduce the modules, respond to queries, monitor discussions and provide guidance on assessments.

If you register for support at one of our recognised teaching centres you can attend lectures and benefit from, and receive tutor support.

Assessment

For all programmes, each core, compulsory and optional module (apart from the Final Project) is summatively assessed by a coursework element (30%) and a written examination element (70%).

The Final Project is summatively assessed by a series of coursework submissions and an unseen, final exam. (Coursework 70% and examination 30% of the final mark).

All coursework and projects are submitted through the VLE. You can sit exams at any of our exam centres worldwide.

Career opportunities

Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government.

The benefits of our programme is flexible to address the skills shortage of data scientists who can use data to drive improvements to organisational performance. You will have the opportunity to gain highly-valued skills through the specialist pathways:

MSc Data Science
These skills will lead to a variety of careers with employers from technology firms, the biomedical research sector, the charitable and voluntary sector, and public research sector.

MSc Data Science and Artificial Intelligence
Embark on a variety of careers with employers from leading technology firms, robotics, military, academia, and public research sector.

MSc Data Science and Financial Technology
For a variety of careers with employers from the financial sector, including financial planning, insurance, marketing, and investment banking.

You can also exit with Pgdip and PgCert awards.

Different course options

Study mode

Online

Duration

5 years

Start date

Contact University

Modules

This module aims to cover the key statistical concepts and techniques you will need to interpret the results you might generate through data analysis. The areas covered in this module include probability theory, likelihood, common distributions, confidence intervals, hypothesis tests, parametric and non-parametric tests.

Tuition fees

UK fees
Course fees for UK / EU students

£12000 for Independent web-supported student; £6800 + teaching centre fee for Teaching centre supported student; Other fees extra.

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

Programme fee varies by country (Please contact the University): The following fee as a guide for non-UK students: £12000 for Independent web-supported student; £6800 + teaching centre fee for Teaching centre supported student; Other fees extra.

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Entry routes We offer two entry routes into the programmes, so if you do not meet the academic requirements you may still be eligible to apply through an alternative route. Entry Route 1 (MSc/PGDip/PGCert) To be eligible to register for any of the Data Science programmes, you must have the following: A bachelor’s degree (or an acceptable equivalent) in a relevant subject which is considered at least comparable to a UK second class honours degree, from an institution acceptable to the University. Relevant subjects include but are not limited to the following: Biomedical Statistics; Business Computing; Computer Science; Creative Computing; Data Science; Economics etc.. Entry Route 2 (MSc/PGDip/PGCert) A bachelor’s degree (or an acceptable equivalent) in any subject which is considered at least comparable to a UK second class honours degree, from an institution acceptable to the University. In addition to the above, you will be required to complete an online preparatory course prior to registration. The online preparatory course, Foundations of Data Science: K-Means Clustering in Python, requires approximately 30 hours of study. English Language requirements • IELTS: at least 6.5 overall, with 6.0 in the written test. • TOEFL iBT: at least 92 overall, with 22+ in reading and writing and 20+ in speaking and listening. Alternatively, you may satisfy the language requirements if you have at least 18 months of education or work experience conducted in English. Computer requirements As this is a technical degree, you will need regular access to a computer with an internet connection and a minimum screen resolution of 1024x768. You will also need Adobe Flash Player to view video material and a media player (such as VLC) to play video files.

Department profile

Why University of London (UoL) The University of London (UoL) is a world leader in higher education. Made up of 17 member institutions, the University has an international reputation for academic excellence. The MSc Data Science programme has been designed and is delivered by the Department of Computing at Goldsmiths, UoL. Goldsmiths are one of the UK’s top 25 universities for research (REF 2014) and have a culture of creativity and of...more

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