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Different course options

Full time | Southwark Campus | 1 year | SEP-22

Study mode

Full time

Duration

1 year

Start date

SEP-22

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Science

Course type

Taught

Course Summary

Overview

This postgraduate Masters course is uniquely designed for both computing and non-computing graduates wishing to pursue a career in data science community.

Data science is at the intersection of the fields of computer science, statistics, and design. In a rapidly evolving world, new types of big data are emerging from mobile devices, sensors, instruments, transactional systems, web logs, social media, the cloud and other sources. Businesses are accumulating big data at a rate that often exceeds their capacity to extract value from it.

MSc Data Science is ideally placed to provide you with technical knowledge and employer-focused skills required in a data scientist role. The course will develop your specialist knowledge of data acquisition, data cleansing, data analysis, information extraction, prediction, visualization, story-telling and explanation.

You'll gain hands-on experience using industry standard tools for data science, business intelligence and analytics including SAS, Tableau MS SQL Server, Oracle Database, and R Programming.

Employability

Career opportunities range from IT services to business consultancy, and this course will prepare you for a career in the business intelligence community working actively with a range of resources including tools from major commercial vendors such as Microsoft and SAS.

As a graduate of this course you should to be able to work within the areas of business intelligence or business and data analytics, in roles such as a business intelligence specialist, data or business analyst or business intelligence developer.

Teaching and learning

You'll make use of our e-learning suite and learn in a combination of lectures, seminars, workshops and private study. You'll have access to specialist software including Microsoft SQL Server 2012, Netbeans 7.x with Java 7, Oracle, Python, SAS and Visual Paradigm.

Modules

This module teaches the techniques and technologies applicable to the field of data mining including association techniques, sequence or path analysis, classification, clustering and forecasting. The module is supported using industry standard software (e.g. SAS, Tableau) for building dashboards, applying algorithms and applying analytic techniques to structured and unstructured big data from social media, the cloud and other sources.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

10,180

International fees
Course fees for EU and international students

For this course (per year)

15,400

Entry requirements

Students should have a 2:2 UK honours first degree or international equivalent in a relevant subject; or a Higher National Diploma in a relevant subject and a minimum of three years relevant professional experience; or we recognise that many people have a wealth of valuable skills and knowledge they've developed at work or through training. If candidates have the potential to succeed in postgraduate or post-experience studies we'll consider their application on its individual merit. Applications may be considered where candidates demonstrate a combination of educational qualifications and work experience.

University information

London South Bank University (LSBU) is a highly regarded educational institution located in the London Borough of Southwark. Established in 1882, it is one of London’s oldest universities, with over 15,000 students representing over 130 countries worldwide, and a global network of over 80,000 alumni. The university is both historical and forward thinking and focuses on providing professional opportunities for both employees and...more

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