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.
Structure and assessment
Course modules
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
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 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
#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.
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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