Overview
The field of data analytics is becoming increasingly more relevant and important. Insight-driven businesses are said to be growing at an average of more than 30 per cent each year, creating a demand for professionals skilled in data analytics.
This course provides a broad understanding of information systems coupled with in-depth exploration of analytics knowledge and concepts to help you derive valuable information and insights from data. The course covers a range of subjects to prepare for a career in the sector, and benefits from insight from DMU’s internationally-renowned research institutes, embedding ethics and the impact of computing and technology within the modules.
Professionalism within an industry context is emphasized throughout, with strong links to BCS, The Chartered Institute for IT. Students are exposed to industry-standard concepts, tools and technologies, exploring the fundamental underlying principles of data analytics. Our teaching staff contribute to the field through internationally-recognised research or industrial consultancy, and many are members of centres that pioneer cutting-edge research.
On graduating from this course, our students are equipped with the skills needed for successful careers in industry or academia, as competent and independent lifelong learners. The programme will prepare you for careers in fields such as data and systems analysis and design, system, security, project and knowledge management, big data architect roles, data consultant roles and business consultancy.
Key features
- Gain an industry-recognised qualification and a skill set sought by employers across the industry.
- Learn from our computing experience built over more than 50 years, a long-standing history allowing you to draw on a wealth of research and academic expertise.
- Computer science and informatics research at DMU was ranked third for its research power among modern UK universities in the latest Research Excellence Framework (2014), which is the system for assessing the quality of research in UK higher education institutions.
- Our computer science and engineering and technology subjects have scored highly in the Times Higher Education’s 2020 World University Rankings, meaning you can benefit from the outstanding level of research, teaching and learning on offer at DMU.
- Enhance your employability and gain industry experience by undertaking an optional work placement. Previous students have benefited from placements at leading organisations including at Hewlett-Packard, Intel Corporation, Thomson Reuters, E.ON, GlaxoSmithKline, TNT Express, and AstraZeneca.
- Develop your practical skills in our specialist facilities, with 100 computer workstations on campus divided into five interconnected laboratories, each with 20 high-specification PCs running Windows/Linux.
Entry criteria
- Five GCSEs at grade C or above, including English and Mathematics or equivalent, plus one of the following:
- Normally 104 UCAS points from at least two A-levels or equivalent or
- BTEC National Diploma/ Extended Diploma at DMM or
- Pass in the QAA accredited Access to HE. English and Mathematics GCSE required as a separate qualification as equivalency is not accepted within the Access qualification. We will normally require students to have had a break from full-time education before undertaking the Access course or
- International Baccalaureate: 24+ points
- Foundation Year in Computing: Pass Foundation, and progression is at the discretion of the programme leader. Refer to the Foundation team for further guidance.
Structure and assessment
Course modules
Year one
- Introduction to Computing and its applications
- Data Analytics 1
- Information Systems Analysis
- Foundations of Python Programming
- Computer Ethics
- Data Analytics 2
- Database Design
- Programming in Python 2
Year two
- Information and Database Development
- Integrated Project
- Management Decision Making
- Advanced Data Analytics
- Data Visualisation
- Analytics and Business Modelling
- Mobile Application Design and Development
- Introduction to Information Security
Year three
- Project
- Advanced Statistics for Business
- Business Systems Solutions
- Advanced Business Modelling
- Information & Communication Technologies for Development (optional*)
- Professional and Academic Research Development (optional*)
- Information Security Management and Governance (optional*)
- Data Mining (optional*)
- Database Management and Programming (optional*)
Teaching and assessments
Course modules are informed by current industrial practice and our own cutting edge research, ensuring that you are at the forefront of the latest developments.
You will be taught through a variety of methods including formal lectures, tutorials, computer laboratory sessions and self-directed study.
Assessment is typically through a combination of individual assignments, group work, projects, tests and exams.
The final year includes an individual project and a range of modules you can choose from, with options ranging from technical subjects, such as web information management and network systems, to more business oriented topics, including information systems strategy and services, security management, data mining and advanced management decision making.
You will normally attend around 12-16 hours of timetabled taught sessions each week, and are expected to undertake at least 24 further hours of directed independent study and assignments as required.
Facilities and features
Computer Science Laboratories
The Computer Science laboratories in Gateway House provide over 100 computer workstations for students to use. The space is divided into four interconnected laboratories each with 20 machines, and a fifth laboratory with 23 machines.
There are printing facilities available, internal network access and digital projectors to aid in teaching. All the machines are connected via the Faculty of Computing, Engineering and Media 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 software at home.
Library and learning zones
On campus, the main Kimberlin Library offers a space where you can work, study and access a vast range of print materials, with computer stations, laptops, plasma screens and assistive technology also available.
As well as providing a physical space in which to work, we offer online tools to support your studies, and our extensive online collection of resources accessible from our Library website, e-books, specialised databases and electronic journals and films which can be remotely accessed from anywhere you choose.
We will support you to confidently use a huge range of learning technologies, including Blackboard, Collaborate Ultra, DMU Replay, MS Teams, Turnitin and more. Alongside this, you can access LinkedIn Learning and learn how to use Microsoft 365, and study support software such as mind mapping and note-taking through our new Digital Student Skills Hub.
The library staff offer additional support to students, including help with academic writing, research strategies, literature searching, reference management and assistive technology. There is also a ‘Just Ask’ service for help and advice, live LibChat, online workshops, tutorials and drop-ins available from our Learning Services, and weekly library live chat sessions that give you the chance to ask the library teams for help.
More flexible ways to learn
We offer an equitable and inclusive approach to learning and teaching for all our students. Known as the Universal Design for Learning (UDL), our teaching approach has been recognised as sector leading. UDL means we offer a wide variety of support, facilities and technology to all students, including those with disabilities and specific learning differences.
Just one of the ways we do this is by using ‘DMU Replay’ – a technology providing all students with anytime access to audio and/or visual material of lectures. This means students can revise taught material in a way that suits them best, whether it’s replaying a recording of a class or adapting written material shared in class using specialist software.
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