Business Data Analytics BSc (Hons)

Develop your practical IT abilities, learn how to extract information from systems in business, government and society, expertly develop models and uncover previously unknown trends and patterns to support organisational decision-making.


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.
  • 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.
  • Develop your practical skills in our specialist facilities. 
  • Benefit from Education 2030, where a simplified ‘block learning’ timetable means you will study one subject at a time and have more time to engage with your learning, receive faster feedback and enjoy a better study-life balance.

Course modules

Year one

Block 1: Foundations of Computing

Block 2: Programming in Python

Block 3: Data Analytics and Statistics

Block 4: Information Systems Analysis and Design

Year two

Block 1: Advanced Data Analytics and Visualisation

Block 2: Operational Research

Block 3: Introduction to Information Security

Block 3: Information and Database Development

Block 4: Integrated Project

Year three

Block 1: Advanced Statistics for Business

Block 1: Advanced Business Modelling

Block 2: Business Systems Solutions

Block 3 / 4: Final Year Project

Optional modules (select one):

Block 3 / 4: Privacy and Data Protection

Block 3 / 4: Advanced Database Management and Programming

Block 3 / 4: Data Mining

Block 3 / 4: Information and Communication Technologies for Development

Note: All modules are indicative and based on the current academic session. Course information is correct at the time of publication and is subject to review. Exact modules may, therefore, vary for your intake in order to keep content current. If there are changes to your course we will, where reasonable, take steps to inform you as appropriate.

Teaching and assessment

The compulsory modules on this course ensure that students learn by a combination of practical experience, self-study and research. The option modules allow students the opportunity to specialise.

The modules making up the course employ a range of learning and teaching strategies including: (1) staff directed teaching and learning via lectures, seminars, laboratories; (2) case-study and lab based exercises for the dissemination of knowledge, information and the demonstration of processes and techniques; (3) student centred learning via collaborative and group based learning by group assignments and projects, (4) individual independent learning using literature sources, internet sources and further research (incl. Web based resources) (5) presentation of findings, report writing, assignments, practice (6) practical work based exercises for the development of skills and understanding and (7) project-based learning to develop research, presentation and communication skills.

Assessment methods and assessment criteria are vested in the individual modules constituting the programme. Each module template specifies the assessment methods and reassessment details which are appropriate to the aims and objectives and the teaching and learning strategy of the module. Normally some modules are assessed by a combination of coursework and a phase test. Where subject content of the module is more appropriate to be assessed using coursework, these modules are assessed by 100% coursework. Methods of assessment for the modules therefore may include: Time constrained phase tests, Portfolios of work, Laboratory exercises, Oral examinations, Demonstrations, Individual & individually assessed group work, Project work, Reports & presentations and Research reports. When needed all work is submitted to Turnitin.

Opportunities and Careers
Graduates with business and data analytics skills can pursue a career in a wide variety of roles across a number of industries and sectors. Analyst roles exist in marketing, finance, operations, management consultancy and financial services. 

Programme delivery subject to academic approval