Advanced Computer Science and IT Management [MSc]
Course units and themes
This course is ideal for students who have the desire to drive technology into effective use in business. Information systems are pervasive in every aspect of industry, business and society and therefore there is growing demand for people who have a high level of technical knowledge and are prepared for a leadership role, utilising entrepreneurial and management skills in the solution of business problems. This course is centred around a Management theme, which encompasses relevant MBS course units, and combines it with a choice of complementary Computer Science themes such as Data Management, Software Engineering, and Advanced Web Technologies. The students take modules from 4 theme pools, two in IT Management and two in Computer Science. The course also provides a specialisation in Information Management.
Computer Science units for ACSwITM students (semester 2)
This theme offers a range of optional advanced computing units for students taking MSc ACSwITM. The units cover various areas, from mobile technologies to complex data management, from software development to health informatics. Students take one unit from this theme in the second semester.
- COMP60332: Automated Reasoning and Verification
- COMP62532: Component-based Software Development
- COMP61232: Mobile and Energy Efficient Systems
- COMP60532: Principles of Digital Biology
- COMP61332: Text Mining
- COMP61342: Computer Vision
- COMP60542: Introduction to Health Informatics
- COMP61242: Mobile Communications
- COMP62342: Ontology Engineering for the Semantic Web
- COMP62542: Pattern-based Software Development
Data Engineering and Systems Governance
This theme aims to provide students with an overview and understanding of the entire data life cycle, including data creation, modelling, acquisition, representation, use, maintenance, preservation and disposal, as well as the general use of IT to secure data and information. It discusses database design, data warehousing, maintenance and analytics, data standards and data quality, as well as managing the human behaviour affecting the security of data and information systems.
Data on the Web
As the World Wide Web evolves from a web of documents to a web of documents, data and applications, standards, techniques and practices have evolved for modelling, managing and querying web data at scale. This theme explores a range of topics that have emerged from web data standards and practices, including semi-structured data management, linked open data and big data querying.
IT Management 1
This theme covers a number of business and management topics, in particular those that are related to information technology and practice. Students taking MSc ACSwITM choose two units from this theme (please check time-tabling constraints). All units are taught by Manchester Business School in the first semester.
IT Management 2
This theme complements Management 1, with a range of business and management optional units. Students taking MSc ACSwITM choose one unit from this theme (please check time-tabling constraints). All units are taught by Manchester Business School in the second semester.
Learning from Data
The amount and complexity of data being produced and processed by modern technologies is growing rapidly. Computer applications are increasingly required to adapt and learn from these vast data resources. Manchester researchers are mining huge document collections, adaptively optimizing multi-core processors and understanding the complexity of the genome. Although these seem like very different applications, it turns out that they can all be tackled with a core set of common algorithms, drawn from the field of machine learning.
This theme will give you the chance to learn the core set of skills in this field, first studying the basics of machine learning, and quickly accelerating to the more advanced state of the art methods in high dimensional data analysis.
Parallel Computing in the Multi-core Era
In the universal move to multi-core processors, microprocessor manufacturers have presented the software industry with its most serious challenge ever. Essentially all CPUs are now multi-core, and the number of cores in the CPU is increasing inexorably. The consequences of this multi-core revolution are profound because parallel computing now needs to be handled as the norm, rather than the exception; today's programmers need parallel programming skills that are currently possessed by very few.
This theme introduces students to the complexities of parallel computing by reviewing hardware developments and by providing programming techniques and tools that can alleviate the ensuing problems of correctness, reliability and performance of modern parallel systems.
The large-scale application of the Internet and telecommunication technologies routinely generates enormous amount of information that is transmitted, processed, stored and managed on networked systems on a global scale.
Information recorded electronically on a networked system is particularly vulnerable to security threats, such as: theft, manipulation or misuse of valuable or confidential information; deliberate damage to systems and services; and fraud and forgeries in e-business dealings. These threats could endanger national security, national critical infrastructure, business interests and personal privacy. The field of Security, namely the study of countermeasures to address these serious threats, is therefore of paramount importance to our quality of life.
This Security theme is aimed at introducing the technologies, standards, policies, procedures and practices that can be used to secure information and distributed systems. It embraces a range of technologies such as cryptography, and computer, network and distributed system security, and also includes risk assessment procedures and the study of how security can best be managed
Software Engineering 1
Software Engineering tools and techniques are central to computer science, underpinning systematic development and evolution of software systems. This theme provides experience of modern approaches to software engineering, with a view to enabling students to deploy agile software development practices, and to work effectively with large software systems.