MSc
1 year full time, 2 years part time
Starts September 2017

Information Technology with Business and Management

Explore the many ways in which information technology supports and enables business and management activity and processes.

You have the opportunity to organise your studies around a range of themes:

  • business and management
  • human systems
  • managing innovation
  • software engineering.

Key facts

  • We were ranked as one of the top UK universities for research in computing in the 2014 Research Excellence Framework (REF), all aspects of our research environment were classified as either world leading or internationally excellent.
  • We have many successful business collaborations, enabling our taught courses to be informed by industry and facilitating exciting research.
  • Our courses are designed for those who want to develop a career in the IT industry, research or academia.

How will I study?

You will study a number of core modules and options. In the summer term you will undertake a supervised dissertation, based on a substantial research project. Taught modules are assessed by a variety of methods including:

  • coursework
  • presentations
  • literature review
  • programming projects
  • unseen examinations
  • term papers.

The MSc project is assessed by a 12,000-word dissertation.

MSc project

You’ll complete a substantial MSc project, which is often practical as well as theoretical. The project exposes you to issues of:

  • project management
  • resourcing
  • planning and scheduling
  • documentation and communication
  • critical awareness and creative thinking.

You are encouraged to seek a project with a commercial or industrial flavour. Finding an industrial sponsor or host is fine, though you will still need an academic supervisor.

Full-time and part-time study

You can choose to study this course full time or part time. Find the modules for the full-time course below. 

For details about the part-time course structure, contact us at enquiries@enginf.sussex.ac.uk

What will I study?

  • Module list

    Core modules

    Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.

    • E-Business and E-Commerce Systems

      15 credits
      Autumn Teaching, Year 1

      The module provides a theoretical and technical understanding of the major issues for existing large-scale E-Business and E-Commerce systems. Theoretical aspects include alternative E-Business strategies, marketing, branding, customer relationship issues and commercial website management. The technical part covers the standard methods for large-scale data storage, data movement, transformation, and application integration, together with the fundamentals of application architecture. Examples focus on the most recent developments in E-Business and E-Commerce distributed systems. Critical analysis of current and emerging technologies for E-Business and E-Commerce is carried out during seminars.

    • Web Computing

      15 credits
      Autumn Teaching, Year 1

      In this module, you are introduced to the models and technologies used to provide Web Services (over the Internet) - in particular XML technologies.

      You cover topics including:

      • XML
      • DTD
      • CSS
      • XML Schema
      • XML Transformation
      • servlets and Java APIs for parsing
      • processing documents.

      The main aim of this module is to introduce you to the prevailing technologies underlying the emergence of the Web Service as a major computation model over the Internet.

    • Information Technology with Business & Management Project

      60 credits
      Spring Teaching, Year 1

      The dissertation will describe an extensive piece of research work undertaken as an individual IT project or Business/Management case study, supervised by an appropriate member of faculty.

      This project or case study should be the culmination of your degree, as such it should focus on an area(s) studied or associated with the degree. Therefore, this project may focus on any aspect of Information Technology, Business (including E-Business and E-Commerce) and Management (including innovation), and should position itself with respect to the literature in the area of study and demonstrate your ability to apply relevant methods to solve a research problem and critically evaluate the solution.

      The dissertation should indicate an appropriate methodology has been adopted, for example, if an IT project is chosen then a requirements gathering, specification, design, implementation, test and evaluation should be documented in the dissertation, e.g. design and development of a dynamic e-commerce web site. On the other hand, if a business or management case study is chosen, then a systematic empirical/experimental study of some aspect of Information Technology, E-Business, or E-Commerce, Business, management is topic would be undertaken, e.g. a detailed cases study of an E-Commerce sector or IT strategy.

    • Managing Complex Projects, Products and Systems

      15 credits
      Spring Teaching, Year 1

      During this module you will address three central issues:

      Organisational capabilities: how organisational forms and capabilities in project management, systems integration and software engineering are essential in the design and production of CoPS. Special emphasis is given to project management capabilities.

      Models of innovation: how industrial structures, product life cycles and innovation management in CoPS differ from the conventional model of innovation often based on the mass production of consumer goods.

      Firm strategy: how firms are changing their strategic positions, building new service capabilities and creating customer-centric organisations to provide bundles of products and services as integrated solutions to their customer's needs.

    • Web Applications and Services

      15 credits
      Spring Teaching, Year 1

      This module provides an introduction to the models and technologies used to provide distributed applications and services over the Internet. You will study the features and problems of building distributed applications, such as naming, security, synchronisation, replication, object persistence and content distribution. You will use the framework provided by the Java Enterprise Edition to build distributed web applications.

    Options

    Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests.

    • Advanced Software Engineering

      15 credits
      Autumn Teaching, Year 1

      In this module, you study modern approaches to large-scale software production.

      You start by reviewing the key concepts in the whole life-cycle of a software product, such as:

      • requirement analysis
      • software architecture and design
      • implementation
      • quality assurance
      • maintenance activities.

      Following this review, you investigate modern software engineering technology, such as:

      • version control
      • build automation
      • testing
      • logical approaches to specification
      • verification of programs and domain-specific languages.

      As part of this module, you undertake team-based coursework, which involves the production of a significant software system.

    • Business and Project Management

      15 credits
      Autumn Teaching, Year 1

      This module addresses wider business and project management issues which affect the technological and engineering environment. Some of these issues include: principles of strategic management, project management and planning, the business environment, auditing and control, organisational structure, business legislation, resource management, global markets and supply and forecasting.

    • Change and Leadership

      15 credits
      Autumn Teaching, Year 1

      Change and Leadership will provide you with the theoretical grounding to understand and appraise different modes of organisational change, their drivers, the responses of staff and other stakeholders, and the role of leaders in leading and responding to change. The relevance of theory will be explored in contexts including cultural change, restructuring and mergers/acquisitions. The module examines the principles of managing change at a number of levels building progressively from individual change, to team change and organisational change up to change at the meso-macro level in complex economic systems (eg change of sectoral or even national importance). The distinctive roles for leaders and approaches to leadership will be explored in relation to these levels.

      Within the continuum, reflecting positioning of the module between organisational behaviour and strategy, topics to be addressed will cover six main areas including: 

      • Behavioural, cognitive, humanistic and psychodynamic theories of individual change 
      • Teams: their constitution, internal dynamics and role in organisational change
      • Historical approaches to organisational change (under ad-hoc management, scientific management, human relations and contigent approaches) 
      • More recent (and emerging) paradigms in organisational change
      • Planned vs. emergent change: complexity and inter-organisational influences
      • Leadership: role choices and constraint, and frameworks for managing change


      The assessment is a coursework-based task requiring you to select a change scenario for a chosen organisation and to describe how that change process should be undertaken, with specific reference to options for change and appraisal of their suitability, through reference to relevant theories of change. Strengths and weakness of relevant approaches will be identified. Specific attention to the role and style of leadership required for the change process or programme will be a key component of the report.

    • Human-Computer Interaction

      15 credits
      Autumn Teaching, Year 1

      Human–computer interaction (HCI) is concerned with designing, evaluating and deploying usable, effective and enjoyable technologies in a range of contexts. The aim of this module is to give an introduction to the key areas, approaches and developments in the field. Topics include:

      • principles of design
      • methods for evaluating interfaces with or without user involvement
      • techniques for prototyping and implementing graphical user interfaces.

      Ultimately you will be reflective practitioners, able to understand the 'tools' that you have in your user-centred design toolkit and to think constructively and analytically about the best uses, limitations and implications of using these tools to design and evaluate interactive technologies.

    • Management, Innovation and Organisational Performance

      15 credits
      Autumn Teaching, Year 1

      This module aims to help you develop a critical awareness and deep understanding of the principles and practices associated with management and performance excellence, and provides insight into the drive for continuous improvement of products, services and processes for enhanced competitive positioning from effective innovation management.

      The module includes a focus on strategies for sustainable improvement in performance of operating systems, ethical practice, organisational mindset, and planning and control mechanisms employed to effectively manage and monitor socio-economic performance for sustainable business operations.

      By critically assessing the application of a range of tools, techniques and frameworks within a variety of best practice organisations across a number of industry sectors, at both national and international level, you will examine 'value' from a range of stakeholder perspectives.

    • Object Oriented Programming

      15 credits
      Autumn Teaching, Year 1

      You will be introduced to object-oriented programming, and in particular to understanding, writing, modifying, debugging and assessing the design quality of simple Java applications.

      You do not need any previous programming experience to take this module, as it is suitable for absolute beginners.

    • HCI Advanced Topics

      15 credits
      Spring Teaching, Year 1

      This module will explore advanced topics in Human Centred Computing Systems, by providing opportunities to reflect on, synthesise and gain a deeper understanding of the concerns, perspectives and interdisciplinary nature of this area.

      The module also aims to support the development of research, design and study skills through literature reviews, case studies involving the critique of systems, presentations, group discussion of research and hands-on experiences.

    • Information and Communication Technology Policy and Strategy

      15 credits
      Spring Teaching, Year 1

      The module provides you with an overview of the strategic management and policy issues raised by the production and use of advanced information and communication technologies and services. Perspectives are drawn from economics, management and organisation theory, as well as political science and sociology. The focus is on the evolution of a complex technical system in the wider contexts of emerging user requirements in the public and private sectors. Much of the course is centred around the implications of the internet, particularly in terms of media conversion, regulation, productivity and employment, intellectual property rights and electronic commerce.

    • Intelligent Systems Techniques

      15 credits
      Spring Teaching, Year 1

      This module will introduce you to the range of knowledge representation techniques used in contemporary Artificial Intelligence, and give you an understanding of their various strengths and weaknesses.

    • Machine Learning

      15 credits
      Spring Teaching, Year 1

      In this module, you explore advanced techniques in machine learning.

      You use a systematic treatment, based on the following three key ingredients:

      • tasks
      • models
      • features.

      As part of the module, you are introduced to both regression and classification, and your studies emphasise concepts such as model performance, learnability and computational complexity.

      You learn techniques including:

      • probabilistic and non-probabilistic classification and regression methods
      • reinforcement learning approaches including the non-linear variants using kernel methods.

      You are also introduced to techniques for pre-processing the data (including PCA).

      You will then need to be able to implement, develop and deploy these techniques to real-world problems.

      In order to take this module, you need to have already taken the 'Mathematics & Computational Methods for Complex Systems' module (817G5), or have taken an equivalent mathematical module or have equivalent prior experience.

    • Multimedia Design and Applications

      15 credits
      Spring Teaching, Year 1

      You will examine how modern computing systems manage, deliver and present multimedia such as audio, video, and interactive grapics. Topics that you will study include:

      • information coding
      • multimedia hardware
      • networked multimedia
      • ergonomics
      • interface design
      • multimedia applications.
    • Strategic Management - Business Management Course

      15 credits
      Spring Teaching, Year 1

      This module aims to give you a strong grasp of the issues, tools and theoretical perspectives underlying the practice of strategy and its links with management. Using a combination of theory, practice and cases you will learn how to apply principles of strategy to companies.

      The module begins by covering key skills and tools for strategic analysis. These include tools for analysing a firm's macroenvironment and competitive environment, as well as an organisation's own resources and capabilities. It then provides an in-depth summary of the strategy process as it is used by managers, and then discusses the range of theoretical perspectives that inform our understanding of this process.

    • The Business Context in East Asia

      15 credits
      Spring Teaching, Year 1

      The main aims of this module are to explore the international business environment in East Asia, to provide an overview of the various East Asian economies, their interrelationship, and their importance in the world economy, and to examine the lessons which may be drawn both from the economic success of the East Asian economies, and from the Asian financial crisis.

    • The Business Context in Europe

      15 credits
      Spring Teaching, Year 1

      The main aims of this module are to explore the international business environment in Europe, to provide an overview of the various European economies, their inter-relationships, and their importance in the world economy. Attention will be paid not just to the major member States of the European Union, but to newer member States and other European economies.

Entry requirements

An upper second-class (2.1) undergraduate honours degree or above. Applicants with a good background in computing, information technology, engineering or other subjects where programming is a key element are suited to this course. Applicants with good degrees in business or with relevant industrial experience of programming have also been
successful. Mature applicants with relevant experience will be considered.

English language requirements

Standard level (IELTS 6.5, with not less than 6.0 in each section)

Find out about other English language qualifications we accept.

English language support

Don’t have the English language level for your course? Find out more about our pre-sessional courses.

Additional information for international students

We welcome applications from all over the world. Find out about international qualifications suitable for our Masters courses.

Pre-Masters in Computing

Need to boost your academic skills for your taught course? Find out more about our Pre-Masters in Computing.

Visas and immigration

Find out how to apply for a student visa


Fees and scholarships

How much does it cost?

Fees

Home: £9,250 per year

EU: £9,250 per year

Channel Islands and Isle of Man: £9,250 per year

Overseas: £18,750 per year

Note that your fees may be subject to an increase on an annual basis.

How can I fund my course?

Postgraduate Masters loans

Borrow up to £10,280 to contribute to your postgraduate study.

Find out more about Postgraduate Masters Loans

Scholarships

Our aim is to ensure that every student who wants to study with us is able to despite financial barriers, so that we continue to attract talented and unique individuals.

Chancellor's Masters Scholarship (2017)

Open to students with a 1st class from a UK university or excellent grades from an EU university and offered a F/T place on a Sussex Masters in 2017

Application deadline:

1 August 2017

Find out more about the Chancellor's Masters Scholarship

Jan Metzger Scholarship for MSc in Intelligent and Adaptive Systems (2017)

£6,000 fee waiver for the MSc in Intelligent and Adaptive Systems.

Application deadline:

31 July 2017

Find out more about the Jan Metzger Scholarship for MSc in Intelligent and Adaptive Systems

Pegge Scholarship for MSc in Intelligent and Adaptive Systems (2017)

The £3,000 Pegge Scholarship is awarded annually to postgraduate students taking the MSc in Intelligent and Adaptive Systems.

Application deadline:

31 July 2017

Find out more about the Pegge Scholarship for MSc in Intelligent and Adaptive Systems

Sussex Graduate Scholarship (2017)

Open to Sussex students who graduate with a first or upper second-class degree and offered a full-time place on a Sussex Masters course in 2017

Application deadline:

1 August 2017

Find out more about the Sussex Graduate Scholarship

Sussex India Scholarships (2017)

Sussex India Scholarships are worth £3,500 and are for overseas fee paying students from India commencing Masters study in September 2017.

Application deadline:

1 August 2017

Find out more about the Sussex India Scholarships

Sussex Malaysia Scholarships (2017)

Sussex Malaysia Scholarships are worth £3,500 and are for overseas fee paying students from Malaysia commencing Masters study in September 2017.

Application deadline:

1 August 2017

Find out more about the Sussex Malaysia Scholarships

Sussex Nigeria Scholarships (2017)

Sussex Nigeria Scholarships are worth £3,500 or £5,000 and are for overseas fee paying students from Nigeria commencing a Masters in September 2017.

Application deadline:

1 August 2017

Find out more about the Sussex Nigeria Scholarships

Sussex Pakistan Scholarships (2017)

Sussex Pakistan Scholarships are worth £3,500 and are for overseas fee paying students from Pakistan commencing Masters study in September 2017.

Application deadline:

1 August 2017

Find out more about the Sussex Pakistan Scholarships

How Masters scholarships make studying more affordable

Living costs

Find out typical living costs for studying at Sussex.


Faculty

Research in the Department of Informatics is split into four groups. 

  • Cognitive Language Processing Systems

    The research of this group addresses the science and engineering of complex systems for cognitively demanding, and data- and language-intensive domains, including the integration of methods from cognitive science, natural language engineering and machine learning.

    Prof John Carroll
    Professor of Computational Linguistics
    J.A.Carroll@sussex.ac.uk

    Research interests: Computational Linguistics, Computational/Corpus Linguistics, Machine Learning (AI), Medical Informatics, Natural Language Processing

    View profile

    Prof Peter Cheng
    Professor of Cognitive Sciences
    P.C.H.Cheng@sussex.ac.uk

    Research interests: Cognitive Science, Human computer interaction, Knowledge visualisation / information visualisation / visual analystics, Tactile graphics - cognitive science of, User-authentication - cognitive biometric

    View profile

    Dr Bill Keller
    Senior Lecturer in Artificial Intelligence
    billk@sussex.ac.uk

    Research interests: Computational Linguistics, Computational/Corpus Linguistics, Linguistics, Machine Learning (AI), Natural Language Processing, Probabilistic Methods, Semantics And Pragmatics

    View profile

    Dr Novi Quadrianto
    Senior Lecturer in Machine Learning
    N.Quadrianto@sussex.ac.uk

    Research interests: Bayesian Methods, Computer Vision - Machine Learning, Ethical Machine Learning, Kernel Methods, Machine Learning (AI), Optimisation (AI), Probabilistic Methods, Time Series

    View profile

    Prof David Weir
    Professor Of Computer Science
    D.J.Weir@sussex.ac.uk

    Research interests: Computational Linguistics, Data Science, Natural Language Processing

    View profile

    Dr Sharon Wood
    Senior Lecturer in Computer Science & Artificial Intelligence
    S.Wood@sussex.ac.uk

    Research interests: Artificial Intelligence, Cognitive Modelling, Cognitive Science

    View profile

  • Evolutionary and Adaptive Systems (EASy)

    The EASy group has been internationally prominent since it was established in the early 1990s. It is concerned with the interfaces between the biological and computational sciences, particularly with reference to furthering understanding of brains and minds.

    Dr Luc Berthouze
    Reader in Informatics
    L.Berthouze@sussex.ac.uk

    Research interests: Biomedical Signal Processing, Computational Neuroscience, Developmental Robotics, EEG, EMG, Motor Control, Network Theory and Complexity, Neuronal network, Nonlinear Dynamics and Chaos

    View profile

    Prof Maggie Boden
    Research Professor of Cognitive Science
    M.A.Boden@sussex.ac.uk

    View profile

    Dr Christopher Buckley
    Lecturer In Neural Computation
    C.L.Buckley@sussex.ac.uk

    View profile

    Dr Ron Chrisley
    Reader in Philosophy
    R.L.Chrisley@sussex.ac.uk

    Research interests: Artificial Intelligence, Cognition, Cognitive Science, Consciousness, Language & Philosophical Logic, Logic, Philosophy, Philosophy Of Mind, Philosophy of Science & Mathematics, & Mathematical Logic, Robotics

    View profile

    Prof Phil Husbands
    Research Professor Of Artificial Intelligence
    P.Husbands@sussex.ac.uk

    Research interests: Adaptive Systems, Artificial Intelligence, artificial life, Bio-inspired Neural Computing, Bio-inspired Robotics, Complex System Design, Computational Neuroscience, Digital Art & Design, Evolutionary Computation, evolutionary robotics, History of Science/Medicine/Technology, Machine Learning (AI), Mobile Robots, Nervous system, Optimisation Problems, Systems neuroscience

    View profile

    Prof Thomas Nowotny
    Professor Of Informatics
    T.Nowotny@sussex.ac.uk

    Research interests: Biomimetics, Chemical Sensing, Computational Neuroscience, Dynamic Clamp, Electronic Nose, GPU Computing, High Performance Computing, Insects, Ion channels, Machine Learning (AI), Neural networks, New Computing Paradigms, Olfaction, Robotics, Systems neuroscience

    View profile

    Dr Andy Philippides
    Reader in Informatics
    andrewop@sussex.ac.uk

    Research interests: computational biology, Computational Neuroscience, Computer Vision & Image Processing - Pattern Recognition, Evolutionary Computation, insect navigation, navigation, Robotics

    View profile

    Prof Anil Seth
    Professor of Cognitive & Computational Neuroscience
    A.K.Seth@sussex.ac.uk

    Research interests: Cognitive Neuroscience, Computational Neuroscience, Consciousness, EEG, Neuroimaging, neuropsychiatry, Neuropsychology, Psychology, Time Series, Virtual Reality

    View profile

    Dr Chris Thornton
    Lecturer in Computing Science
    C.Thornton@sussex.ac.uk

    Research interests: Information Theory, Predictive Processing, Theoretical Cognitive Science

    View profile

    Dr Sharon Wood
    Senior Lecturer in Computer Science & Artificial Intelligence
    S.Wood@sussex.ac.uk

    Research interests: Artificial Intelligence, Cognitive Modelling, Cognitive Science

    View profile

  • Foundations of Software Systems

    This group is interested in the theory and practice of future computation and communication. We:

    • build mathematical theories of computation
    • design and evaluate distributed applications and services
    • model and analyse data representing system configurations, social networks, trust and provenance.

    Dr Martin Berger
    Lecturer in Foundations Of Computation
    M.F.Berger@sussex.ac.uk

    Research interests: Automata Theory, Compiler Theory, Compilers, Computer Systems Security, Concurrency, Cryptography, Domain Specific Languages, Formal Methods, Formal Verification, Foundations of computation, Functional Programming, Just-In-Time Compilers, Logic, Logic for Computer Science, Meta-Programming, Network Security, Programming Languages, Programming Languages - Concurrent, Programming Languages - Distributed, Proof Assistants, Proof Theory, Semantics of Programming Languages, Software Engineering, Software Specification, Software Verification, Theorem Provers

    View profile

    Dr Ian Mackie
    Reader
    I.Mackie@sussex.ac.uk

    Research interests: Visual programming languages

    View profile

    Dr George Parisis
    Lecturer
    G.A.Parisis@sussex.ac.uk

    Research interests: Data Centre Networking and Storage, Information-Centric Networking, Network Management, Opportunistic, Delay-Tolerant Networking, Software-Defined Networking and Software Verification

    View profile

    Dr Bernhard Reus
    Senior Lecturer in Computer Science & Artificial Intelligence
    bernhard@sussex.ac.uk

    Research interests: Computational Complexity, Computer science, Foundations of computation, Software Verification

    View profile

    Dr Peter Schrammel
    Lecturer in Computer Science
    P.Schrammel@sussex.ac.uk

    Research interests: Abstract Interpretation, Abstraction, Embedded systems, Formal Verification, Hardware/Software Co-verification, Model Checking (Computing), Model-driven Software Eng, Real-time Software Systems, Satisfiability Modulo Theories, Software Engineering, Software Evolution, Software Quality, Software Safety, Software Security, Software Testing, Software Verification, Static Analysis

    View profile

    Prof Ian Wakeman
    Professor of Software Systems
    I.J.Wakeman@sussex.ac.uk

    Research interests: Communications networks, Datacenter Networking and Storage, delay tolerant networks, Distributed computing, Mobile Computing

    View profile

  • Interactive Systems

    This group is concerned with the interfaces between humans and digital technology. We investigate interaction in the broadest sense, and consider it in relation to both traditional desktop-based technology and also more recent digital technologies – including mobile, immersive, ubiquitous and pervasive computing.

    Dr Natalia Beloff
    Senior Lecturer in Software Engineering
    N.Beloff@sussex.ac.uk

    Research interests: Big Data Analytics, Business models for Digital innovation, E-Business Models, Internet of things, Medical Informatics, Numerical Analysis, Remote Sensing & Earth Observation

    View profile

    Dr Judith Good
    Reader in Informatics
    J.Good@sussex.ac.uk

    Research interests: Autism Spectrum Disorders, Game Based Learning, Game Creation for Learning, Learning, Learning Programming, Mobile Computing, Multimedia, Simulations for Learning, technology for autism

    View profile

    Dr Kate Howland
    Lecturer In Interaction Design
    K.L.Howland@sussex.ac.uk

    Research interests: End-user programming, Game Based Learning, Game Creation for Learning, Human computer interaction, Interaction design, Novice programming, Participatory Design, Technology Enhanced Learning

    View profile

    Prof Ann Light
    Professor of Design & Creative Technology
    Ann.Light@sussex.ac.uk

    View profile

    Dr Paul Newbury
    Senior Lecturer In Multimedia Systems
    P.Newbury@sussex.ac.uk

    Research interests: Technology Enhanced Learning, Virtual Prototyping

    View profile

    Dr Marianna Obrist
    Reader in Interaction Design
    M.Obrist@sussex.ac.uk

    Research interests: Interaction design

    View profile

    Dr Phil Watten
    Media Technology Manager
    P.L.Watten@sussex.ac.uk

    View profile

    Dr Martin White
    Reader in Computer Science
    M.White@sussex.ac.uk

    Research interests: 3D Reconstructions, Blockchain Applications, Digital Heritage, Healthy Living Applications

    View profile

Careers

Graduate destinations

92% of students from the School of Engineering and Informatics were in work or further study six months after graduating. Recent Informatics students have gone on to jobs including:

  • games lab manager, Ubisoft
  • front end developer, Brandwatch
  • UX designer, American Express.

(HESA EPI, Destinations of Post Graduate Leavers from Higher Education Survey 2015)

Your future career

Our students are highly employable, with 95% of recent graduates’ job roles being at professional or managerial level.

Many go on to careers in the banking and energy sectors. Others pursue careers as IT consultants, project managers, software professionals and in other IT sector roles. The MSc also opens up the opportunity for PhD-level study. 

Employers of our graduates include:

  • HSBC
  • Bangkok Bank
  • KPMG
  • G4 Analytics
  • RDF Group.

Working while you study

Our Careers and Employability Centre can help you find part-time work while you study. Find out more about career development and part-time work