data-analytics

Data Analytics MSc/PG Dip/PG Cert

Developed in collaboration with SAS, a world leader in the field, the course emphasises the concepts, techniques, development and application of business intelligence systems through industry-relevant software tools.

Postgraduate Open Evening: 4-6:30pm on Wednesday 3 June 2020. Book your place

Overview

Professionals with the ability to interrogate datasets by applying analytical techniques to describe and predict business performance are in high demand worldwide. Designed to equip you with the technical expertise needed for a career in industry, this course will prepare you for roles in analytics by developing your technical expertise and professional skills in business intelligence.

The first semester modules focus on core topic areas such as statistics, database design and programming, enabling you to gain insights into large multivariate datasets and apply your problem-solving abilities to explore business opportunities and challenges faced by data scientists when using business intelligence systems.

In the second semester you will apply your technical knowledge and further progress your analytical expertise by focusing on specific data science subject areas such as big data, data mining and business intelligence. You will also be encouraged to demonstrate your technical and analytical abilities in response to real-world problems during your final-semester individual project.

Our graduates leave with sought-after skills for business intelligence and data mining roles within any field of data science. Opportunities also exist for further academic study towards a doctorate degree and a career in research.

Key features

  • With our 50-year history of teaching computing, you will benefit from established academic expertise, as well as gaining insight into real-world problem solving from our SAS-accredited staff.
  • Enhance your employability by developing substantial knowledge and skills in the deployment of SAS industry-standard software.
  • Sharpen skills by using software and techniques such as Apache Spark and the Hadoop Distributed File System to demonstrate data mining and machine learning algorithms.
  • Access dedicated computing laboratories, fully equipped with HP dual-boot and all-in-one computers and a high-performance file server.
  • Gain an insight into real-world issues and solutions through our research groups. You will have the opportunity to attend guest lectures and seminars to expand your understanding of the impact of current research.
  • Boost your career prospects through an optional one-year placement year in industry, where you will be able to build contacts and transferable skills. Past students have completed placements with management consultancies, retailers and companies including Bosch Thermotechnology.

Scholarships

International Scholarships

Find out about available scholarships and country specific fee discounts for 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 with optional one year placement available, a minimum of two years part-time or by distance learning.

Start date: January and September

Fees and funding: 

For 2020/21 full-time fees will be £7,920 per year.

Part-time fees will be £660 per 15 credits.

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 with optional one year placement available or a minimum of two years part-time.

Start date: January and September

Fees and funding: 

For 2020/21 tuition full-time fees will be £14,600 per year.

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.

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 

  • Statistics
  • Business Intelligence Systems Concepts and Method
  • Research Methods
  • Data Warehouse Design and OLAP

Second semester 

  • Business Intelligence Systems Application and Development
  • Big Data Analytics
  • Data Mining Techniques and Applications
  • Analytics Programming

Third semester

  • Individual project

 

For module descriptions, click here.

 

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 Learning Zones and The Greenhouse also provide space for group or individual work and study.

There are 1,600 study places across all library locations, more than 700 computer stations, laptops to borrow, free wi-fi and desktop power outlets.

You can also book rooms with plasma screens, laptops and DVD facilities for group work and presentations, secure an individual study room with adjustable lighting or make use of our assistive technology.

Library services

The main Kimberlin Library is open 24 hours a day, 365 days a year (other than in exceptional circumstances) and offers a huge range of online resources, all of which can be remotely accessed from anywhere you choose.

The library is run by dedicated staff who offer additional support to students, including help with academic writing, research strategies, literature searching and reference management and assistive technology, and mathematical skills for non-maths students. There is also a Just Ask service for help and advice, available via email or telephone.

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 DMU Global, 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.

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