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Course Code: N430
Why choose the School of Leadership and Management
We are 1st in the UK for successful graduate social-enterprise start-ups still trading after three years; 3rd in the UK for all business start-ups still trading after three years (HESA, 2023)
100% of our graduates in Economics are in highly skilled employment or graduate study, 15 months after graduating (HESA Graduate Outcomes, 2023)
Over 95% of our business and management graduates are in employment or involved in further study, 15 months after graduating (HESA Graduate Outcomes, 2023)
About the course
The digital transformation of business is gaining momentum at a fast pace and graduates who can bring together business management skills with an in-depth understanding of digital and data analysis are much sought after. This practice-led course equips you to follow an exciting career in data-driven business environments.
Our BSc Business Analytics degree provides a thorough grounding in digital and data-analysis skills and decision-making applying theory to real-life applications and business situations from the start. It equips you to develop as a data-driven solutions architect able to facilitate the digital transformation of business and thrive in a data-led world.
The course covers marketing and management principles; principles of data analysis using programming; soft approaches to analyse complex systems; data modelling and analytics.
This course is in the process of receiving accreditation by British Computer Society (BCS) www.bcs.org. On successfully completing the course you receive its credential for Chartered IT Professional. BSC is recognised as a professional statutory and regulatory body for the accreditation of technology degrees in the UK.
Why choose this course?
- Study core data analytics and complex system areas coupled with business management giving you a skill set much in demand nationally and internationally
- Work with high-tech data analytics platforms and technologies in our new state-of-the-art business analytics suite
- Learn from subject area experts using innovative teaching and learning approaches
- Engage with live projects and real business issues using a data-driven approach to problem-solving across a range of regional small/medium enterprises
- Benefit from research-informed teaching delivered by a faculty recognised for its top-level research in business and finance (REF 2022)
- Study at a Business School with partners across the world giving you to the cross-cultural perspectives you need to work in the global market
- Gain valuable insights from industry experts through masterclasses and talks at the University
with Professional Practice Year
This course has the option to be taken over four years which includes a year placement in industry. Undertaking a year in industry has many benefits. You gain practical experience and build your CV, as well as being a great opportunity to sample a profession and network with potential future employers.
There is no tuition fee for the placement year enabling you to gain an extra year of experience for free.
*Only available to UK/EU students.
with Foundation Year
A Degree with a Foundation Year gives you guaranteed entry to an Undergraduate course.
Whether you’re returning to learning and require additional help and support to up-skill, or if you didn’t quite meet the grades to pursue an Undergraduate course, our Degrees with Foundation Year provide a fantastic entry route for you to work towards a degree level qualification.
With our guidance and support you’ll get up to speed within one year, and will be ready to seamlessly progress on to undergraduate study at Bedfordshire.
The Foundation Year provides an opportunity to build up your academic writing skills and numeracy, and will also cover a range of subject specific content to fully prepare you for entry to an Undergraduate degree.
This is an integrated four-year degree, with the foundation year as a key part of the course. You will need to successfully complete the Foundation Year to progress on to the first year of your bachelor’s degree.
Why study a degree with a Foundation Year?
- Broad-based yet enough depth to give you credible vocational skills
- Coverage of a variety of areas typically delivered by an expert in this area
- Gain an understanding of a subject before choosing which route you wish to specialise in
- Great introduction to further study, and guaranteed progression on to one of our Undergraduate degrees
The degrees offering a Foundation Year provide excellent preparation for your future studies.
During your Foundation Year you will get the opportunity to talk to tutors about your degree study and future career aspirations, and receive guidance on the most appropriate Undergraduate course to help you achieve this; providing you meet the entry requirements and pass the Foundation Year.
What will you study?
Data Centric Organisations
Over the last ten years businesses have gradually shifted from being data informed organisations to data centric organisations with the rapid creation and consumption of data. In this unit you will explore the data life cycle, from data acquisition, through to maintenance, usage and archiving.
The unit aims to:
1. Develop an awareness of how data is being created and used in a business decision context
2. Explore business decision making models that rely on data analysis
3. Develop an understanding of the evolution of Business Analytics practices
Evolution And Revolution Of Business
The unit is designed to provide an introduction to business and the context in which businesses operate. It explores business advances allowing students to acquire an understanding of how businesses have developed, their impact on society, and how business may progress in the future. The unit aims to achieve:
1. The identification and examination of key developments within business and management practices and their impact on trade and commerce.
2. Awareness of management models and approaches and their context.
3. Identify the progress and breakthroughs achieved in various business sectors and management practices.
4. Awareness of revolutionary developments in business and its future potential direction.
5. Explore new opportunities and risks that exist for business.
Relevance: The unit explores past and future developments in business and will allow students to apply context and develop a basic level of business acumen.
Introduction To Software Development
This unit introduces key concepts in Software Development relevant to software development. This unit will provide the fundamentals of how to model problems and develop software using a high level language.
The unit will focus on the following areas:
Software development processes and effective team work
Analysis of problems and identification of key features
Modelling using problems abstract modelling techniques
Program Development using a High Level Language
Program testing using appropriate techniques
Understanding distinctions between different forms of programming and modelling
Beginning Your Professional Business Journey
This unit is part of a core spine of units that all Business students will encounter as part of their learning journey. This journey takes you from the Begin stage at Level 4, to the Thrive stage at Level 5 through to the Succeed stage at Level 6. This unit is designed to support the Begin/Thrive/Succeed stage by introducing you to the skills that you will require in order to develop your professional practice.
The connected core spine of units also enables you to network with peers from across the faculty just as you will be expected to work with colleagues throughout the organisation in the world of business.
This unit will help you to begin your journey in Business and provide you with the support you will need to develop your professional practice.
In this unit you will be presented with Business challenges which will allow you to collaborate with peers, and provide an insight in to a professional Business environment.
As data creation and consumption is increasing so is the need for data integration. Data integration also has seen the need for business integration that resulted increased business complexity. The challenge facing business organisation is therefore, is to be agile and innovative supported by evidenced based decisions and. The unit explores how data is managed in an organisation to enhance decision-making process.
The unit aims to:
1. Provide an opportunity to explore various dimensions of Business Intelligence and methods
2. Review managerial approach to Business Intelligence for managing data
3. Review Business process management and strategic planning to enhance data management suitable for business needs
4. Discuss the implementation of Business Intelligence and Integration methods
Latest developments in AI Technology are contributing to the rapid digitization of business processes. Business functions are seeing internal and external integration and adapting to the available technology support for survival. This unit is designed to help you develop knowledge and skills required to function in a technology driven business environment with confidence
The unit aims to:
1. Develop your awareness of the trends in technology and its application in all areas of business
2. Enable you to develop a systematic understanding of the challenges with technology
3. Explore how Big Data provides a basis for technological solutions for smart business operations
Managing Business Complexity
This unit aims to achieve:
· Knowledge and understanding of various types of business complexity arising from structural, process, and environmental factors
· Apply the knowledge and skills gained during previous units to a real-life, complex business issue to create a realistic and viable solution for a client
· Develop project management skills through working on a contemporary business problem
· Develop skills in planning, undertaking and reporting upon primary and secondary research
· Enable you to develop critical employability skills around team working, time management, presentation and communication
Develop your critical awareness of contemporary business issues and enable you to apply theoretical concepts to real-world situations
Decision Support Systems And Data Mining
This unit will develop practical skills in the design and implementation of data mining and decision support solutions. The unit covers the main theoretical concepts of data analysis and knowledge representation such as probabilistic reasoning, regression modelling, decision trees, artificial neural networks, optimisation, logic inference, and planning. These technologies are typically used to optimise business solutions. The unit aims to:
- give students understanding of the main strategies of data analysis, optimisation, and knowledge representation
- develop student's skills in using widely-available software (e.g. MS Office) products for business applications
- give students the theoretical bases and practical skills of
- probabilistic inference, classification, decision trees, artificial neural networks, rule mining, and optimisation
- give students understanding how data mining technologies are used to solve business problems.
Data And Research Methods For Business
This unit is part of a core spine of units that all Business students will encounter as part of their learning journey. This journey takes you to the Thrive stage at Level 5 and the unit is designed to support the Begin/Thrive/Succeed stage by building on the academic study skills and numeracy skills acquired during your first year and introduces you to both theory and practice of research and prepares you for the final year Research Project.
The connected core spine of units also enables you to network with peers from across the faculty just as you will be expected to work with colleagues throughout the organisation in the world of business.¿¿
The ability to conduct research and to interpret information is a key skill in both the academic and commercial worlds. Effective managerial decision-making is heavily dependent on high-quality data and information in a variety of forms and from a variety of sources. Gaining an understanding of research and of the research process, and experiencing it as part of a research community will provide valuable transferrable skills for a career in business or further study.
This unit aims to achieve:
an understanding and appreciation of the central role of data in business.
an ability to evaluate information sources appropriately to support arguments and to inform decision-making at all levels.
an appreciation of the benefits and limitations of common research approaches and quantitative and qualitative research methods.
an understanding of common qualitative and quantitative research techniques including sampling and data collection approaches as well as data analysis.
Building Business Agility
Through rapid creation and access to data business are increasingly relying on insights derived from analytics. As a result, data centric organisations are seeking to be adaptive and responsive to the opportunities and threats found within its environment. The unit is therefore, designed to explore how data centric organisations can build business agility to promote innovation.
This unit aims to achieve:
1. A systematic understanding of agile processes within various functions of business and risk mitigation strategies
2. Explore strategic decision making for adapting technology driven solutions to improve operational efficiency
3. A comprehensive understanding of how change is managed within a business organisation
Modelling Data For Analytics
Managing data is an area of crucial importance in any field. The unit is design with the purpose to discuss how data should be managed during its lifecycle through a mixture of relevant topics. This includes development tools and basic techniques for data capture, modelling, storing and retrieval to serve as the mechanisms for making effective and efficient use of available data. The approach will be based on exploring basic applied principles and practices to enable students to develop an information system as a solution to a problem for a particular field of application. These are fully informed from practices employed in small to middle and, middle to large sized companies..
This unit aims to achieve:
1. An understanding of the underlying theory of databases including data modelling and management techniques
2. An appreciation of available methods and techniques used for data modelling and management purposes
3. Design an appropriate schema for relational database systems for managing data within a chosen field of interest
Data Driven Business
· Enable students to develop enhanced skills in quantitative and qualitative data manipulation techniques and link them to business decision-making
· Facilitate increased awareness of current and future trends in the collection, organization, use, and analysis of data
· Provide opportunities to explore in depth the legal, moral and ethical responsibilities associated with the collection, organization, use, and analysis of data.
Analytical skills are highly demanded for making risk-aware decisions and maximising efficiency of business within the reality of market uncertainties. The subject knowledge and skills will allow students to reliably quantify the uncertainties existing in business and develop data-driven models to efficiently solve analytical tasks in areas such as: Credit scoring, Marketing, Retail analytics, Pricing, and Product design. The offered analytical technologies are based on intensive computational methodologies, such as Monte Carlo simulation, Bayesian decision making, and model aggregation, which are available in data analytical software using R language.
The unit aims to provide students with:
- advanced data analytical strategies of solving business tasks
- benefits of computationally intensive methodologies used for making risk-aware decisions
- knowledge and skills of performing experiments required for finding efficient business solutions
- validation and comparison of developed solutions on real data
- optimising decision models.
This unit is part of a core spine of units that all Business students will encounter as part of their learning journey. This journey takes you from the Thrive stage at Level 5 through to the Succeed stage at Level 6. This unit is designed to support the Succeed stage by enabling you to network with peers from across the faculty just as you will be expected to work with colleagues throughout the organisation in the world of business.
This unit will help you consolidate your research journey with the aim of helping you thrive. It aims to bring research to life by addressing it from an application point of view.
It aims to help you develop and deploy relevant research skills while engaging you in the process of making decisions based on quality research. Effective business decision and problem-solving involve many complex processes which depend not only on accessing high quality data but also processing, analyzing, deconstructing and extracting meaning from it.
Hence, this unit aims to take students through these practical processes in order to develop cutting edge problem solving skills required in a fast business terrain.
This unit aims to achieve:
1) This unit will help students achieve a broader and deeper understanding and learning of the practical use of data in business and how this shapes critical business decisions.
2) This unit will help students achieve the ability to critically evaluate the core knowledge at the forefront of their fields of study in informing their investigation, demonstrating an awareness of the provisional and evolving nature of knowledge.
3) This unit will help students achieve the ability to take ownership of their own research journeys by independently selecting, planning, managing and executing an in-depth research investigation of a business problem with the aim of producing a research with potential for useful or unique outcomes.
4) This unit will enable students achieve the ability to critically review evidence, including reliability, validity and significance, and interpret with reference to the core knowledge in the area, identifying contradictions and inconsistencies and exploring possible reasons, leading to reasoned conclusions and recommendations.
5) This unit will enable students achieve an awareness of their personal responsibility and professional ethical codes of conduct, particularly in relation to confidentiality and informed consent.
How will you be assessed?
Assessment takes a variety of forms, including reports, portfolios, individual and collaborative tasks (individually assessed), research proposals, poster presentations, and exams. Many of the assessments tend to be focused on employability thus tend tobe based on live businesses, studies, project work, and other employability focused activities.
Most units include elements of individual and group work to reflect the type of work undertaken in business and management. Assessment focuses on tasks that develop vocational skills, underpinned by subject knowledge, requiring higher levels of cognition in the later years of the course. Assessment becomes more nuanced and more demanding in Levels 5 & 6 with the expectation that students will be increasingly able to create their own subject specific knowledge.
On this course you develop specific skills and knowledge in the area of data analytics and business management that allow you upon graduation to follow a career as a data consultant able to offer business solutions using data-driven evidence-based analysis. The course will help you prepare for opportunities to become data analysis specialist in the area of marketing finance and operations across a wider range of service sectors.
You also develop the skills required for lifelong learning meaning you are well prepared to keep up with the ever-evolving field of business data analysis and ensure your future employability.