Business Management and Information Systems, _BSc

15 Credit Points

This course is concerned with tools and techniques for scalable and dependable software programming. It focusses primarily on the Java programming language and related technologies. The course gives extensive programming practice in Java. It covers in depth features of the language and how best to use them, the execution model of the language, memory management, design principles underpinning the language, and comparisons with other languages. Tools for collaboration, productivity, and versioning will also be discussed.

15 Credit Points

Databases are an important part of traditional information systems (offline /online) as well as modern data science pipelines. This course will be of interest to anyone who wishes to learn to design and query databases using major database technologies. The course aims to teach the material using case studies from real-world applications, both in lectures and lab classes.

In addition, the course covers topics including management of different kinds of data such as spatial data and data warehousing. The course provides more hands-on training that develops skills useful in practice.

15 Credit Points

This course provides students with an overview of the underpinning concepts of marketing, and the requirements for the development of a market oriented organisation. Specifically introduces the basic concepts of buyer behaviour, market research, the marketing mix and the strategic context of marketing. The linkages between marketing and other key functional areas of management, notably operations and human resource management are highlighted by this course, encouraging the adoption of a systems perspective.

15 Credit Points

This course looks at why a computer system that interacts with human beings needs to be usable. It covers a set of techniques that allow usability to be taken into account when a system is designed and implemented, and also a set of techniques to assess whether usability has been achieved. Weekly practical sessions allow students to practice these techniques. The assessed coursework (which is normally carried out by groups of students) gives an opportunity to go through the design process for a concrete computer system, with a particular focus on ensuring usability.

15 Credit Points

This course provides the knowledge needed to understand, design and compare algorithms. By the end of the course, a student should be able to create or adapt algorithms to solve problems, determine an algorithm's efficiency, and be able to implement it. The course also introduces the student to a variety of widely used algorithms and algorithm creation techniques, applicable to a range of domains. The course will introduce students to concepts such as pseudo-code and computational complexity, and make use of proof techniques. The practical component of the course will build on and enhance students' programming skills.

15 Credit Points

Operations is the part of management that considers processes rather than people and focuses on the organisation rather than its environment.

We study processes and process types: when we produce goods or provide services through projects, jobs, batches or by mass production or mass services. We study layout–how facilities are arranged–, capacity and inventory–how much we can make and when to store–, supply chains, project management, quality and improvement.

The course considers theories such as lean and just-in-time but also practice. You will need a calculator besides the ability to write reports.

15 Credit Points

This course aims to provide students with an understanding of statistical concepts and methods relevant to accounting, management, finance, real estate and economics. The course is intended to enable students

i) To understand the principles of descriptive statistics, index construction, statistical inference, correlation, regression and time series analysis

ii) To apply statistical techniques to the analysis of accounting, business and economic issues and interpret findings

iii) To identify important sources of data in accounting, business and economics

15 Credit Points

The course provides an introduction to Artificial Intelligence (AI). It discusses fundamental problems of AI and their computational solution via key concepts.

15 Credit Points

Students will develop large commercial and industrial software systems as a team-based effort that puts technical quality at centre stage. The module will focus on the early stage of software development, encompassing team building, requirements specification, architectural and detailed design, and software construction. Group work (where each team of students will develop a system selected using a business planning exercise) will guide the software engineering learning process. Teams will be encouraged to have an active, agile approach to problem solving through the guided study, evaluation and integration of practically relevant software engineering concepts, methods, and tools.

15 Credit Points

This course provides insight into the business reasons for large software systems such as loyalty card systems, backend systems integrating firms and their suppliers and larges systems that integrate payroll, finance and operational parts of a business. You also learn the entrepreneurial aspects of business during the practical sessions where you explore and develop your own business application idea using service design and lean startup approaches centred around customer development, which you will find useful in any future work. This course is open to anyone across the university and requires no programming experience.

15 Credit Points

In this module, which is the follow-up of CS3028, students will focus on the team-based development of a previously specified, designed, and concept-proofed software system. Each team will build their product to industrial-strength quality standards following an agile process and applying the software engineering concepts, methods, and tools introduced in CS3028. The course includes a series of mandatory participatory seminars on professional and management issues in IT and IT projects. Students will be expected to relate their engineering work to these issues.

30 Credit Points

Consists of a supervised project which provides experience of investigating a real problem in computing science, or a computing application/technology. Learner will apply knowledge and skills gained earlier in their degree programme, and seek to go even further. Managing the project and presenting the results obtained are an integral part of the investigation.

30 Credit Points

This course is about business strategy and covers a broad range of topics that come under the general heading of “Business Strategy” or “Strategic Management”. The course has been designed to help you gain an understanding of the key areas of strategic management including an understanding of: what strategic management is and why it is important; the different types of strategic analysis tools available; the difference between corporate, business and functional strategy; the complex issues associated with the implementation of strategy; the concept of strategic fit; and the role for strategic leadership in shaping and implementing strategy.

15 Credit Points

In this course, you will conduct an individual research project into the behaviour of a computing system. You will develop knowledge and understanding of rigorous methods to: explore computing system behaviour; identify questions about behaviour; design experiments to answer those questions; analyse experimental results; and report on the outcomes of your research. You will develop your understanding of research ethics and how this relates to professional behaviour.