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data-analytics

Data Analytics MSc/PG Dip/PG Cert

Businesses now frequently possess and want to exploit huge, high volume, varied dynamic data sets, known as big data. Analytics is a subset of what has become to be called Business Intelligence. This is a set of technologies and processes used to understand data and analyse business performance.

Overview

Reasons to study Data Analytics at De Montfort University:

There is a growing need for professionals who can combine both analytical and software techniques in appropriate ways to allow the processing of ‘big data’. Data Analytics MSc is designed to provide these analytics and processing skills embedded within a business intelligence context.

  • Taught by SAS accredited teaching staff
    you will be taught by experienced SAS accredited teaching staff  providing you with expert knowledge and skills 
  • Developed to fill skills shortage
    course content has been developed to enhance your employability and gain substantial knowledge and equipping you with the skills required in for the use of the SAS software as well as Hadoop  Distributed File System (HDFS) in industry 
  • 50 years history of research and teaching in computing technology
    benefit from our well established academic expertise and advance your skills in, and knowledge of, data analytics to business problems 
  • Industry placement opportunity
    you can chose to undertake a year-long work placement gaining valuable experience and skills as well as networking opportunities to build your industry contacts 
  • Excellent graduate prospects
    equipped with the relevant skills for business intelligence and data mining roles including SAS Programming, Database Design and Business Intelligence

This course emphasises the concepts and techniques of business intelligence systems, their application and development, which are underpinned and exemplified via the learning of one or more contemporary ‘best of breed’ business intelligence software tools. 

Scholarships

Tuition fee discount of up to 50 per cent available when studying this course
The Vice-Chancellor's 2020 scholarship is available to DMU graduates studying a range of full-time and part-time postgraduate courses

International Scholarships

Find out about available scholarships and country specific fee discountsfor international students.

 

More courses like this:

Business Intelligence and Data Mining MSc/PG Dip/PG Cert

Information Systems Management MSc/PG Dip/PG Cert

 

  • UK/EU
  • International

Key facts for UK/EU students

Institution code: D26

Duration: One year full-time (January starters: 18 months full-time) with optional one year placement available and distance learning

Fees and funding: 

For 2016/2017 entry - £5,100

For 2017/2018 entry - £5,350

Find out more about course fees and available funding.

Additional costs and optional extras associated with this course

Contact us: For more information complete our online enquiry form or call us on +44 (0)116 2 50 60 70.

Key facts for international students

Institution code: D26

Duration: One year full-time (January starters: 18 months full-time) with optional one year placement available and distance learning

Fees and funding: 

For 2016/2017 entry - £12,700

For 2017/2018 entry - £13,100

Find out more about course fees and available funding.

Additional costs and optional extras associated with this course

How to apply: International students can apply to study at DMU directly using our online portal or direct application form

Contact us: For more information complete our online enquiry form or call us on +44 (0)116 2 50 60 70.

Entry criteria

You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject.

We are happy to consider equivalent qualifications from anywhere in the world.

If English is not your first language an IELTS score of 6.0 or equivalent when you start the course is essential. English Language tuition, delivered by our British Council accredited Centre for English Language Learning, is available both before and throughout the course if you need it.

 

 

If you have no formal academic qualifications but do have extensive industry experience we will consider your application on an individual basis.

If you feel you would like to talk to us about your qualifications before submitting an application please do not hesitate to call or email using the contact details below.

Structure and assessment

 

Course modules

Teaching and assessments

Industry association

 

First semester (September to January)

.   Statistics

.   Fundamentals of Business Intelligence Systems

.   Analytics Programming

.   Data Warehouse Design and OLAP

Second semester (February to May)

.   Business Intelligence Systems Application and Development

.   Big Data Analytics

.   Data Mining

.   Research Methods

Third semester (June to September)

.   Individual project

 

Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.  

The course is run in association with SAS, the leading independent vendor in the business intelligence industry, and you will gain substantial SAS software skills as part of your study.

First semester modules provide you with fundamental abilities in the use of statistics so that you can gain insights and practice of using business intelligence systems and analytics programming to exploit multidimensional data sets.

In the second semester you are exposed to a variety of business intelligence systems, including those that use big data and data mining techniques. A further module prepares students to undertake an individual research project. This project module allows you to undertake extensive research into an aspect of big data, and/or provides an opportunity to develop and demonstrate your analytical and processing abilities in response to a given practical problem.

Contact and learning hours 

You will normally attend 3 hours of timetabled taught sessions each week for each module undertaken during term time, for full time study this would be 12 hours per week during term time. You are expected to undertake around 24 further hours of independent study and assignments as required per week. 

Alternate study modes and entry points may change the timetabled session available, please contact us for details.

The Data Analytics MSc was developed and is run in conjunction with SAS.

SAS is the world's largest independent business analytics company. It provides an integrated set of software products and services to more than 45,000 customer sites in 118 countries. Across the globe, both the public and private sector use SAS software to assist in their efforts to compete and excel in a climate of unprecedented economic uncertainty and globalization.

 

SAS

Facilities and features

Facilities

The Computer Science laboratories in Gateway House provide 80 computer workstations for students to use. The space is divided into four interconnected laboratories each with 20 machines (20 HP PCs running Windows/Linux).

There are printing facilities available, internal network access and digital projectors to aid your learning. All the machines are connected via the Faculty of Technology network to a dedicated, high-performance file server for storage and backup of students' work. Many of the software packages are open source, which means students can download and run the software at home.

The Computer Science laboratories include a study area, in which you can work individually or in groups.

Learning zones

Our comfortable and well-equipped study areas provide a range of environments to suit your needs.

Originally set up in our main Kimberlin Library, the learning zones proved so popular that more were created in the Eric Wood Building and Greenhouse. These flexible spaces are ideal whether you are working as a group, practising a presentation or working quietly on your own.

They feature workstations with power supplies for laptops, plus bookable syndicate rooms with interactive whiteboards and DVD players. Eduroam wi-fi is available across all campus locations.

Library services

We have 1,500 study places and 650 computer workstations across four sites on campus. These give access to more than half a million publications, an extensive range of DVDs, e-resources and thousands of electronic journals. 

The main Kimberlin Library is open 24 hours a day, 365 days of the year (other than in exceptional circumstances).

Award-winning staff are on hand to help and there is a café for study breaks. We offer a range of workshops, drop-in and one-to-one sessions, and our Just Ask service provides email and telephone support.

Opportunities and careers

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#DMUglobal

This is our innovative international experience programme which aims to enrich your studies and expand your cultural horizons – helping you to become a global graduate, equipped to meet the needs of employers across the world.

Through #DMUglobal, we offer a wide range of opportunities including on-campus and UK activities, overseas study, internships, faculty-led field trips and volunteering, as well as Erasmus+ and international exchanges.

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Graduate Careers

This course prepares graduates for business intelligence and data mining roles within any target industry. There is a very high market demand for SAS expertise, and our graduates will be able to take up such opportunities. You will also be well placed to take up more general management and business information systems development roles within industry, and to undertake academic research in this field.

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How to apply

We welcome applications from UK and international students with a wide range of qualifications and experience.

Find out more

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