Business Data Analytics
De Montfort University
UCAS Code: G530 | Bachelor of Science - BSc
Entry requirements
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
International Baccalaureate Diploma Programme
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
BTEC National Diploma / Extended Diploma
T Level
UCAS Tariff
from at least two A-levels or equivalent. Five GCSEs at grade C or above, including English and Mathematics
About this course
Please note: this course was previously titled 'Computing for Business BSc (Hons)'
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.
- Through block teaching, you will focus on one subject at a time instead of several at once. This means that you will be able to focus closely on each subject and absorb your learning material in more depth, whilst working more closely with your tutors and course mates.
- 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.
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: Database Management and Programming
Block 3 / 4: Data Mining
Block 3 / 4: Information and Communication Technologies for Development
Assessment methods
On this course, you will benefit from Education 2030 - DMU’s new way of delivering courses. Through block teaching, you will focus on one subject at a time instead of several at once.
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.
Tuition fees
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The Uni
Leicester Campus
Computing, Engineering and Media
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Business computing
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