BSc (Hons) in
Business Information Systems

The module introduces students to management-centric perspective on organisational behaviour. It is designed to cultivate fundamental skills required for managing individuals and groups within an organisation taking into account diversity and the factors of decent work in organisations. Students will explore the complexities of management in the modern business world and how businesses become sustainable under the current environmental conditions and responsible with society. Students will focus their efforts on identifying factors that influence organisational effectiveness and integrating aspects of managerial activities.

Assessment: Assessment for this module consists of two tasks. Assessment 1 (40% of the final grade) is a presentation in which students identify a management problem within a local company and propose recommendations for improvement. Assessment 2 (60% of the final grade) is an in-class meeting simulation where students are assigned a case study of a company and take on various managerial roles.

The module introduces the basics of programming – variables, data types, conditional branching, loops, collections, and functions. Emphasis is placed on practical experience with a modern programming language. You’ll learn to analyse small-scale problems, design solutions using algorithmic and mathematical techniques, and implement them through practical programming. Hands-on exercises and labs will sharpen your problem-solving skills while reinforcing key programming concepts.

Assessment: Assessment for this module consists of two components: an In-Class PC Lab Test and a Practical Coursework Project. The PC Lab Test accounts for 40% of the final grade and is designed to evaluate students’ understanding of core concepts as well as their ability to apply technical knowledge under timed conditions. The Practical Coursework, which makes up 60% of the final mark, requires students to complete an individual project that demonstrates practical problem-solving, creativity, and the application of theoretical knowledge to real-world scenarios.

The emphasis of the module is on the application of statistical methods to tackle real-world, data rich problems in economics, finance, business and academia. Attention will focus on the calculation and interpretation of tables and results and the appropriate method to approach various aspects of real-world situations. Treatment is at an elementary mathematical level (basic calculus). Concepts of probability, statistical bias, randomness, random variables, sampling, statistical inference, basic data exploration and visualization techniques, data analytical methods, bivariate and multivariate analysis are introduced.

Assessment: Assessment for this module consists of two tasks. Assessment 1 is an in-class test that serves as a summative assessment and evaluates students’ knowledge of the fundamental concepts and techniques introduced in the first half of the module. Assessment 2 is the final exam, conducted at the end of the semester. This assessment covers material from the entire module and provides a comprehensive evaluation of students’ understanding and ability to apply statistical concepts and methods in a range of contexts.

Principles of Marketing introduces the essentials of marketing (key concepts, methods of analysis, strategies and tactics) critical to managing profitable customer relationships in today’s dynamic and connected environment. The module will introduce marketing strategy and elements of marketing analysis such as customer analysis, company analysis and competitor analysis. Students will be familiarised with the elements of the marketing mix (product, pricing, promotion, and distribution strategies).

Assessment: The assessment consists of 50% individual coursework, whereby students will select a specific consumer product or service and conduct a detailed analysis of consumer behavior related to that offering; and 50% group coursework, whereby students will collaborate to develop a comprehensive marketing plan for a selected product or service.

The module introduces the basics and principles of graphic design. It mainly focuses on developing practical skills in digital typesetting, image making, composition, and layout, which students can apply to different business and professional contexts. Students will learn to use industry standard graphics applications to create their visual designs.

Assessment: Assessment for this module consists of three pieces of coursework. Through these projects, you’ll get the chance to put theory into practice, sharpen your problem-solving skills, and show that you can deliver professional, well-structured work.

This module introduces students to the methods and processes involved in creating 3D models and environments, and renderings. The key areas of modelling, texturing, lighting and rendering will be studied, and various modes of output demonstrated. Different applications of Computer-Generated Imagery (CGI), such as motion graphics, character animation and virtual environments are discussed.

Assessment: The module will be assessed by means of coursework and PC lab in-class test. The Practical coursework aims to assess students’ ability to analyse the theoretical frame of implementation of CGI, while the in-class test assesses the student’s ability to create a 3D asset.

This module is a general introduction to Artificial Intelligence (AI). It will introduce diverse topics of AI to students from any background. It is structured to offer students essentially practical skills in AI and its subfields that have made significant impact, including but not limited to: Search problems, Knowledge Base Systems, Fuzzy Logic, Neural Networks, Evolutionary Computation, Computer Vision, Generative AI, Natural Language Processing, and machine learning.

Assessment: Assessment for this module consists of two components. The first is a Group Project, which accounts for 50% of the final grade. The second component is a Lab Test, also weighted at 50%. This in-class test evaluates students’ individual understanding of core concepts and their ability to apply technical knowledge under timed conditions.

The module provides a practical introduction to the core concepts used in the design and implementation of database information systems. The module provides a solid approach to database theory and its practical perception and investigates the fundamental issues related to Conceptual Data Modelling, Logical Data Models, and Relational Information Retrieval.

Assessment: The module will be assessed by a Project and a Computer Lab Test. The project is practical work that will require students to develop a database; a Computer Lab Test will be a practical assignment conducted in a PC lab.

This module introduces the Object-Oriented Programming paradigm. The students will learn the difference between Procedural Programming and Object-Oriented Programming. They will also be introduced to the Object-Oriented Programming principles, design patterns and UML class diagrams to be able to visualize system components and build them based on the design.

Assessment: Assessment for this module is divided into two parts. The first component is an in-class Programming Test, which carries a weighting of 50%. The second component is a Coursework Practical, also weighted at 50%. This coursework task requires students to develop and present an individual solution to a practical problem, allowing them to showcase problem-solving skills, creativity, and the application of theoretical knowledge to practice.

The module will provide learning experience in information technology management to gain the knowledge and skills in organisation and maintenance of IS services in contemporary business organisations.

Assessment: The module is assessed through two components. Coursework makes up 60% of the final grade and allows students to demonstrate their ability to apply theoretical knowledge to practical tasks in a structured written format. The remaining 40% is assessed through an in-class PC lab test, which evaluates students’ understanding of key concepts and their ability to apply technical knowledge under exam conditions.

The module introduces the basics of game development, starting from the history of the game industry, genres, main metrics, design. It focuses on key concepts of game storytelling and development, applicability of promotion techniques and revenue models for the game as a software product.

Assessment: The module will be assessed by means of a portfolio consisting of report and game prototype. The report forms the business proposal of the game by discussing the game storytelling, design, monetization and promotion of the game. The game prototype will enable students to apply concepts and ideas discussed in the report in the actual development of the game prototype.

Students learn how to reorganize data files of different formats (google sheets, Excel, SQL, xml, etc.) into a single consistent form and visualize the data with Dynamic slicers. The dashboarding techniques for online visualization and handling of cognitive load will be also handled. Working individually and in a team is practiced in this module.

Assessment: The module will be assessed through two components. The first is a Group Project, which contributes 50% to the final grade. This assessment requires students to work collaboratively to investigate a problem, develop solutions, and present their findings, thereby testing their teamwork, research, and communication skills. The second component is a Lab Test, also weighted at 50%.

The module introduces programming in the context of mobile applications. The students will learn about the basic principles of mobile applications development, including internal architecture, interface building and database connection.

Assessment: The module will be assessed by means of PC laboratory test and a mobile application (coursework practical). The test aims to assess students' skills in using IDE, writing basic UI markup code and understanding the structure of main configuration files and classes of a mobile project. Mobile application is worth 70% of the overall mark, and assess students' ability to apply their knowledge to solve business problems and produce relevant programming solutions.

This module introduces end-to-end full-stack web development, focusing on building web applications. Students will learn essential frontend and back-end technologies, database design, security practices, and deployment. The module emphasizes practical learning aligned with real-world business needs.

Assessment: The first is a Business Case Report, which accounts for 20% of the final grade. The business case report is designed to assess students' ability to critically analyze a business scenario and translate it into a coherent and viable plan for web application development. The second component is a Practical Development Portfolio, weighted at 80%. The assessment ensures that students can apply their knowledge in a real-world context, creating functional web applications from start to finish.

This module is designed to give students a foundational understanding of cybersecurity concepts and principles, covering core elements such as information security fundamentals, current threat landscape, different types of cyberattacks, security policies and governance, risk management, basics of cryptography and network security, secure software development and security education. A substantial amount of work will be laboratory based involving the deployment of security tools and the analysis of compromised systems.

Assessment: The module will be assessed by means of practical project and a PC-Lab Test. The practical project is based on a lab-based investigation and a portfolio penetration test report derived from lab results. PC-Lab Test will assess students` aptitude to grasp the module materials and additional reading.

This module is designed to equip students with the skills and knowledge required to analyse complex business cases from multiple perspectives. Delivered collaboratively by the Business Management and Marketing, Finance, and Economics departments, the module reflects industry demands for graduates proficient in applying popular analytical frameworks to real-world business challenges. Students will explore various case studies, utilising various tools and framework, and develop a multifaceted understanding of business scenarios.

Assessment: The assessment is designed to ensure that students can effectively apply their knowledge and skills to real-world business scenarios, as well as gain a deeper understanding of the case development process itself. Assessment 1 (40%) involves writing a report based on the chosen organization for developing the case. This assessment emphasizes the importance of understanding how different business functions interact and contribute to overall strategy and decision-making. Assessment 2 (60%) requires students to design and write their own case study. This assessment encourages creativity and critical thinking, as students must ensure that their case study is both realistic and challenging, while also being suitable for analysis using the frameworks learned in the module.

The module places strong emphasis on data analysis by researching on real world problems and issues regarding management, marketing, Human Resource Management (HRM), operations or finance. Students will develop skills in the use of different AI tools for problem identification, theoretical support and data analysis. The student will then examine, synthesize, analyze and provide recommendations to address the problems/issues through conducting primary research in a local context and present findings in a written report.

Assessment: Assessment 1 (40%) is a technical proposal. The students will identify a real-world marketing, management, HRM, finance, or any other business-relevant issue or problem in an organization and propose a method to analyse that problem. Assessment 2 (60%) is the final report that is written upon the technical report as it is the result of the cumulative process.

The module will introduce the Systems Development Life Cycle (SDLC) and guide students through the stages of planning, analysis, design, implementation, and maintenance of IT services in contemporary business organisations. Students will be introduced to requirements gathering and system analysis techniques. They will learn to effectively collect business requirements and document them using industry standard tools such as UML, ERD and other diagrams. Students will learn about different software development methodologies (Waterfall, Agile, RAD, XP, etc.). In addition, students will learn how to use UML 2.0 diagrams to document their system analysis and designs.

Assessment: Student performance in this module will be assessed through two pieces of coursework. Group Coursework makes up 40% of the final grade, while Individual Coursework accounts for the remaining 60%. Together, they assess both teamwork and independent problem-solving skills.

The Project module requires students to carry out their own piece of independent research under the guidance of a supervisor. The research topic and prototype solution chosen must be appropriate within the Business Information Systems area. A detailed project guide is provided which contains comprehensive guidance to the project process.

Assessment: The module is assessed entirely through a single BIS Project, which carries 100% of the final grade. This project provides students with the opportunity to integrate and apply the knowledge and skills gained throughout the module to a substantial piece of independent work.

The Dissertation allows students to carry out research on a business issue of their own choice. It provides evidence that students have clear abilities to evaluate and criticize evidence with an emerging ability to apply original insight and thought to the issue under discussion. It also provides a demonstration of the development of self-motivation and time-management skills. Students will be trained in the use of diverse AI tools for research that facilitate the process of literature identification, topic refinement, analysis of previous research and data analysis. The students, with the guidance of their supervisor, will be expected to select and apply appropriate research methods and techniques for the chosen research topic. The module should provide the student with knowledge of how to seek scientific facts and how to plan, carry out and present academic work as well as theoretical and practical specialisation within a business management subject area.

Assessment: The assessment strategy for the Dissertation module is designed to guide students through the key stages of conducting independent research, ensuring that they develop and demonstrate a range of academic and practical skills. The Final Dissertation (100%) represents the culmination of the research process and is the only component of the assessment. It requires students to demonstrate their ability to conduct in-depth research, analyse data, and discuss their findings in relation to the academic literature

Students undertake part-time work of their choice, but relevant to the subject area and approved by the Module Leader, which can be paid or unpaid, equivalent to half day a week or 60 hours over the course of the module. Using a learning contract and a diary, students will keep a reflective learning log about their experiences at work and relationships to their academic studies.

Assessment: The module will be assessed by 100% portfolio, which is designed to enable assessor to understand what skills were offered to an employer, what objectives were formulated by both student and employer, what tasks were set to the student, what was the curve of execution of these tasks, what is overall feedback the student received for his performance, evaluation of a student of his current learning and student’s reflection on his/her development throughout his/her internship period.

The module covers distributed systems and cloud infrastructure. This course introduces the techniques underlying the design and engineering of distributed systems and cloud computing systems. Topics include distributed system models, computer clusters, virtualization, data centres, cloud computing models, cloud-enabling technologies, cloud mechanisms, and cloud architectures. Students will also acquire hands-on experience in cloud programming. Students will understand distributed databases, scalability, and consistency. They will develop and apply practical skills in building resilient, scalable systems.

Assessment: The module will be assessed through two components. The first is a Practical Coursework, weighted at 50%, which requires students to apply theoretical knowledge to practical tasks and produce structured, professional-standard work. The second component is an in-class PC Lab Test, also worth 50%. This test evaluates students’ individual understanding of key concepts and their ability to apply technical skills under timed conditions.

The module introduces basics of Internet of Things (IoT) systems, their component parts, connections, and communication methods. Emphasis is placed on practical experience with electronic kits, which include a microcontroller unit, sensors, and actuators. Students are required to build an electric circuit, a network, and write mobile or/and web applications to be able to control and monitor the built IoT system.

Assessment: The module will be assessed by portfolio, which will include a report with articulation of the case, research on existing solutions and justification for proposed solution, as well as circuit and the network of IoT system and control and monitor web/mobile application, accompanying viva voce with IoT system work demonstration

This module will provide an overview of modern techniques in Machine Learning and Data Mining that are particularly customised for Data Science applications. Students will be introduced to a range of toolkits, such as R and Python and they will explore the features and strengths of different machine learning and data mining methodologies using selected data sets related to specific public sector or businesses application domains.

Assessment: The module will be assessed by a combination of coursework and an exam. The coursework will be an independent practical task (50%), where the task will be to fully implement data mining/machine learning techniques, focused on problem analysis, data pre-processing, data post-processing. The exam (50%) will assess the student’s ability to explain and discuss the techniques in Data Mining and Machine Learning.

This module focuses on software testing and analysis processes, principles, and techniques. It introduces quality and quality assurance concepts, software QA techniques, testing approaches and techniques (control flow and data flow testing, mutation testing, specification-based testing techniques (equivalence partitioning, boundary value analysis, cause-effect graphing etc.), software quality management (test cycles, design and code reviews, test plans, test tools, quality metrics).

Assessment: The module will have two graded assessments: The PC-Lab Test will be time-constrained and require students to apply knowledge of software Testing and quality practices, use of tools and application of skills acquired in the module to solve given problems of certain scenarios. The examination will evaluate students’ comprehension of the theoretical aspects of the module.

The module introduces concepts of Enterprise Resource Planning Systems (ERP), role that they play in organization. Module provides hands-on experience in managing and developing ERP systems such as SAP, Microsoft Dynamics, Oracle ERP.

Assessment: Group Project (50%) requires students to work in pairs to conduct research based on a business case study. Students will analyse business processes and design a conceptual ERP system that supports key business functions. In-class Test (50%) is an assignment designed to assess students’ understanding of ERP system concepts, including system architecture, key components, and ERP implementation principles.

This module arms students with the essential principles and practices of marketing in the digital economy. In this business and management module, students will gain an understanding of how the digital economy works and develop the critical insights necessary to succeed in e-commerce and digital and social media marketing. The course also helps students gain an insight how to plan and implement Digital Marketing initiatives. Students will acquire skills in the use of AI tools to analyse trends in social media, create suitable prompts for generating storyboards and understanding market inconsistencies, and possible solution based on customer needs.

Assessment: The module will be assessed via two coursework: Assessment 1 (40%) is a group Coursework in the form of an in-module practical exercise. Assessment 2 (60%) is an individual written report designed to assess students’ ability to apply and use new business models, tools, and techniques of the digital economy and their ability to design e-campaigns/e-strategies of the business to market more effectively and efficiently.

The module aims to introduce students to consumer neuroscience and neuromarketing methods. How do humans make decisions as consumers? How do their senses and initial responses affect their behavior? To what extent are these processes unconscious and cannot be reflected in overt reports? The module provides students with an introduction to some of the most basic methods in the emerging fields of consumer neuroscience and neuromarketing. Students learn about the basic brain mechanisms in consumer choice, the neuromarketing methods ranging from behavioral tests to eye-tracking, and to brain scanners. The module guides students through a contemporary literature review, giving insights into the last decades of development within this field of research.

Assessment: The assessment for this module includes two coursework, allowing students to demonstrate their comprehensive understanding and application of neuromarketing and AI principles throughout the course. Through the two CWs, a holistic evaluation of the students' abilities to integrate theoretical knowledge with practical skills will be integrated.

Effective project management is fundamental to the success of projects in all areas of business. This module aims to provide students with an understanding of the theory that underpins modern project management practice, together with experience of applying techniques through individual and group work. In addition to core concepts and theories of project management, the module emphasizes the importance of sustainable project management in creating and delivering value to stakeholders by minimizing resource consumption, waste reduction, cost saving throughout project life cycle and ensuring a net positive environmental, social and economic impact.

Assessment: Assessment 1 (50%) is a group presentation. Students are expected to work in groups and prepare a presentation on a given project. Assessment 2 (50%) is a final examination. The end-of-module examination is designed to test students’ ability to analyse and evaluate the project performance as well as the application of project management theories, concepts, tools, and techniques to specific cases and issues in a constrained time.

The module of Strategic Business Decisions emphasizes the decision-making process from which companies define their competitive position in the market and achieve an advantage against competitors. The module focuses on the rationale and the process for strategic decision making. Through the module, students learn how managers can fit their internal conditions to the changes in the external environment and find the best alternative to compete from the different options.

Assessment: Assessment 1 (30%) is an individual assignment that aims to assess students’ critical thinking while analyzing a business and its environment with the use of real-life cases which they can contrast with the literature. Assessments 2 (40%) is a group-based assessment that enables students to perform an in-depth company analysis. In this assessment, the students will analyze a company’s strategic growth process and provide a solution based on the problems.