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Masters Degrees (Complex Networks)

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What do Facebook, the financial system, Internet or the brain have in common?. All are connected in a network. Read more
What do Facebook, the financial system, Internet or the brain have in common?

All are connected in a network. From the underlying skeleton of social relations, the interdependent evolution of our financial system, to the emergent collective computation in the brain, most of the complex systems that appear in society, technology, and nature are ultimately characterised by a nontrivial pattern of inter-relations. This underlying architecture is in turn shaping how information diffuses and spreads, how resilient the system is against attacks or perturbations, or how complex patterns emerge at the systemic level from the aggregation of seemingly simple individuals.

Our MSc in Network Science will provide a thorough grounding in the core principles of modelling and analysis of complex and networked systems, along with the principal analytical and numerical methodologies. This will open to students a host of career opportunities in systems and networks modelling industries, spanning the IT, financial, and biomedical sectors, that are now requiring such specialist knowledge and skills.

Network Science is a very active and rapidly evolving research field with high societal impact, which stands at the crossroads of graph theory, complexity and data analysis. Addressing the description and modelling of the architecture and dynamics of complex systems -systems composed by many interacting units that show collective behaviour- it stands as a new kind of science to cope with some of the most challenging endeavours we face today, in an ever increasingly more connected society.
Its impact and applications outside academia pervades technological sectors such as communications and infrastructures (Internet, transportation networks, energy networks, urban mobility), biostatistics and network biology (brain modelling, protein interaction networks, postgenomic era), public health (epidemic spreading models), marketing and IT (social media, data analytics) to cite a few. This specialist masters programme aims at providing graduate students and professionals with a rigorous training in the underlying mathematical concepts, the analysis and modelling of complex networks and networked systems, complemented with training in computing, numerical simulations and massive data analysis. It is aimed towards students whose undergraduate degree is in mathematics or a cognate discipline who wish to enter a career involving analysis and optimisation of diverse kinds of networks, networked dynamics and models.

Why study your MSc Network Science at Queen Mary?
This is a pioneering MSc in the UK, a joint programme, taught by our Schools of Mathematical Sciences, and Electronic Engineering and Computer Science, drawing on their strengths in research and teaching in the area of complex networks, mathematical modelling of complex systems, and data mining.

We teach what we know and what we do best. Within the School of Mathematics, the Complex Systems & Networks group is one of the biggest hubs in Network Science within the UK, where we address both fundamental and applied challenges in the mathematical modelling of complex systems with clear societal impact, in collaboration with several industrial stakeholders. Within the School of Electronic Engineering, the Networks group was founded in 1987, and has hugely expanded ever since, bringing their expertise in online social networks, data mining and cloud computing. The coalescence of both groups expertises has fostered the creation of this unique MSc.

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What do Facebook, the financial system, Internet or the brain have in common?. "Everything is connected, all is network". Read more
What do Facebook, the financial system, Internet or the brain have in common?

"Everything is connected, all is network"
From the underlying skeleton of social relations, the interdependent evolution of our financial system, to the emergent collective computation in the brain, most of the complex systems that appear in society, technology, and nature are ultimately characterised by a nontrivial pattern of inter-relations. This underlying architecture is in turn shaping how information diffuses and spreads, how resilient the system is against attacks or perturbations, or how complex patterns emerge at the systemic level from the aggregation of seemingly simple individuals.

Our MSc Network Science will provide a thorough grounding in the core principles of modelling and analysis of complex and networked systems, along with the principal analytical and numerical methodologies. This will open to students a host of career opportunities in systems and networks modelling industries, spanning the IT, financial, and biomedical sectors, that are now requiring such specialist knowledge and skills.

Network Science is a very active and rapidly evolving research field with high societal impact, which stands at the crossroads of graph theory, complexity and data analysis. Addressing the description and modelling of the architecture and dynamics of complex systems -systems composed by many interacting units that show collective behaviour- it stands as a new kind of science to cope with some of the most challenging endeavours we face today, in an ever increasingly more connected society.
Its impact and applications outside academia pervades technological sectors such as communications and infrastructures (Internet, transportation networks, energy networks, urban mobility), finance (financial risk and systemic instability, financial networks, interbank cross-correlations), marketing and IT (social media, data analytics), public health (epidemic spreading models), or biostatistics and network biology (brain modelling, protein interaction networks, postgenomic era), to cite a few. This specialist masters programme aims at providing graduate students and professionals with a rigorous training in the underlying mathematical concepts, the analysis and modelling of complex networks and networked systems, complemented with training in computing, numerical simulations and massive data analysis. It is aimed towards students with a mathematical background who wish to enter a career involving analysis and optimisation of diverse kinds of networks, networked dynamics and models.

Why study your MSc Network Science at Queen Mary?
This is a pioneering MSc in the UK, a joint programme, taught by our Schools of Mathematical Sciences, and Electronic Engineering and Computer Science, drawing on their strengths in research and teaching in the area of complex networks, mathematical modelling of complex systems, and data mining.

We teach what we know and what we do best. Within the School of Mathematics, the Complex Systems & Networks group is one of the biggest hubs in Network Science within the UK, where we address both fundamental and applied challenges in the mathematical modelling of complex systems with clear societal impact, in collaboration with several industrial stakeholders. Within the School of Electronic Engineering, the Networks group was founded in 1987, and has hugely expanded ever since, bringing their expertise in online social networks, data mining and cloud computing. The coalescence of both groups expertises has fostered the creation of this unique MSc.

More about our two schools

Queen Mary is a member of the prestigious Russell Group of leading UK universities, combining world-class research, teaching excellence and unrivalled links with business and the public sector. The School of Mathematical Sciences has a distinguished history on itself. We have been conducting pioneering mathematical research since the 1950s, and as one of the largest mathematical departments in the UK, with over 50 members of staff, the school can offer diverse postgraduate study opportunities across the field, from pure and applied mathematics, to finance and statistics. Along with the MSc in Network Science, our cohort of postgraduate students specialise in Mathematics and Statistics, Mathematical Finance and Financial Computing. We are one of the UK’s leading universities in the most recent national assessment of research quality, we were placed ninth in the UK (REF 2014) amongst multi-faculty universities. This means that the teaching on our postgraduate programmes is directly inspired by the world-leading research of our academics. Our staff includes international leaders in many areas of mathematical research, and the School is a hive of activity, providing a vibrant intellectual space for postgraduate study.

The School of Electronic Engineering and Computer Science is internationally recognised for their pioneering and ground-breaking research in several areas including machine learning and applied network analysis. This expertise uniquely complements the more theoretical knowledge offered by the School of Mathematical Sciences, providing a well balanced mix of theory and applications and offering a deep and robust programme that combines the foundations of the mathematics of networks with the latest cutting edge applications in real world problems.

Additionally, Queen Mary holds a university-level Bronze Award for the Athena SWAN Charter, which recognises and celebrates good employment practice for women working in mathematics, science, engineering and technology in higher education and research.

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The M.Sc. programme in Computer Science equips students with the theoretical and practical background necessary to enable them to participate in the design of complex networked and distributed computing systems, as well as to undertake research in this area. Read more
The M.Sc. programme in Computer Science equips students with the theoretical and practical background necessary to enable them to participate in the design of complex networked and distributed computing systems, as well as to undertake research in this area.

The programme is assessed based on a combination of assigned coursework, written examination, and a dissertation.

The programme is composed of a number of modules that are taken by all students.

These modules include:

- Networked applications: covers applications of the Internet and Intranets ranging from email and the Web to electronic commerce; collaboration and community services; distributed artificial intelligence; and information retrieval.
- Data communications and networks: introduces the fundamentals of computer networks and networking technology.
- Distributed systems: covers the most important paradigms for building distributed applications including client-server computing, distributed object technology, and component models.
- Software engineering for concurrent and distributed systems: covers objectoriented analysis and design techniques and their application to concurrent and distributed systems.
- Security and management of networks and distributed systems: introduces the fundamentals of computer and network security and investigates different approaches to network management and the management of advanced information services.

This course is open to graduates who have achieved the equivalent of at least an upper second-class honors degree, or better, in computing, information technology, or a related discipline. Well qualified candidates from disciplines such as engineering, mathematics, statistics, or physics who have sufficient knowledge of computing (including the ability to program) may also be accepted.
This course has been co-funded under the National Development Plan (Graduate Skills Conversion Programme) for EU fee paying students.

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This course is accredited by the British Computer Society. Successful completion fulfils part of the requirements for becoming a Chartered Engineer / Chartered IT Professional. Read more
This course is accredited by the British Computer Society. Successful completion fulfils part of the requirements for becoming a Chartered Engineer / Chartered IT Professional.

Course overview

If you already have a degree related to computing, this Masters gives you additional expertise in network systems. Employment in IT is forecast to grow more than three times faster than for UK employment as a whole, according to e-skills UK.

You will gain hands-on experience of building and testing networks in our specialist labs, which are packed with Cisco equipment. Sunderland is among the UK’s top 10 universities for ‘spend per student’ in IT, according to The Guardian University Guide 2013.
Our Department has been a Cisco partner for over 10 years and our team members have relevant instructor certifications. As part of the course, we will prepare you for certification as a CCNA (Cisco Certified Network Associate).

This course is accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the further learning academic requirement for registration as a Chartered IT Professional. It is also accredited by BCS on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for Incorporated Engineer and partially meeting the academic requirement for a Chartered Engineer.

Your Masters project will involve a real-world project that is supported by a sponsor. It will include both a research and a practical element. The outcome will demonstrate your expertise not only to academic assessors but also to potential employers when you are applying for rewarding and fulfilling jobs.

The programme has recently been rewritten to include new modules and new networking topics. It has been designed to enhance the skills and career opportunities of those students with existing qualifications in a science or engineering discipline. It aims to provide graduates with a sound understanding of how to design and deploy complex networks.

Course content

The course mixes taught elements with independent research and supportive supervision. At Masters level, responsibility for learning lies as much with you as with your tutor.

Modules on this course include:
-Research Skills and Academic Literacy (15 Credits)
-Client Server Networking (15 Credits)
-Network Infrastructure (30 Credits)
-Network Design (15 Credits)
-Network Security (15 Credits)
-Digital Telephony (15 Credits)
-Virtualisation and Cloud Computing (15 Credits)
-Masters Project (60 Credits)

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Study computer and information systems security on a course that combines academic teaching, industry input and practical skills development. Read more

Study computer and information systems security on a course that combines academic teaching, industry input and practical skills development.

The course has four main focuses

  • information security management
  • ethical hacking
  • system hardening
  • computer forensics

This course is ideal if you are already working in an information technology environment or if you wish to specialise in the field of information security. After successfully completing it, you gain industry-recognised certifications that will assist you in progressing further in this field.

You focus on both the technical and managerial aspects of information security. The technically-focused modules involve you exploring a range of systems, tools and techniques at the cutting edge of technology. The managerial-focused modules give you an appreciation of the role information security has in an organisation and how it can be implemented and managed.

On this course you

  • develop the knowledge, understanding and skills to work as a computing security professional.
  • learn the concepts, principles, techniques and methodologies you need to design and assess complex networks, systems and applications.
  • develop the practical experience you need to plan, perform and direct security audits of information systems to the level required by standard security frameworks.
  • develop the effective and appropriate communication skills you need to be a security professional.

Free training and certification exam

Thanks to our association with BSI Learning, you are entitled to attend the BSI ISO27001 Lead Auditor course and take the official exam which allows you to become accredited as a BSI certified lead auditor.

Our ethical hacking module is aligned with the CREST Practitioner Security Analyst (CPSA) syllabus providing graduates with industry recognised and desired skills.

BSI lead auditor qualification

• ISO27001 Lead Auditor

BSI courses are delivered by approved BSI trainers and qualified ISO27001 lead auditors. As part of the course you receive the same course material as the official BSI training courses.

Guest Speakers from industry

Due to our strong ties with industry we regularly have special guest speakers. Recent speakers have included industry professionals from Mozilla, South Yorkshire Police, RSA and Blackberry.

Ethical Hacking

In 2014 Sheffield Hallam hosted the North of England's first Ethical Hacking Conference Steelcon. This is set to be an annual event with 2015's event already booked.

Course structure

We developed this course along two main lines.

The first covers the principles and issues of security design concerning systems and systems integration, web and operating system based applications and communication networks.

The second addresses the methodologies and development of skills required to perform security assessments of complex information systems.

Semester one modules

  • Information security concepts and principles
  • Network security
  • Systems and application security
  • Web applications and e-commerce security

Semester two modules

  • BSI ISO27001 lead auditor
  • Group-based case study with capture the flag

Options

  • Computer forensics and incident response
  • Information security management
  • Incident handling and hacking techniques (ethical hacking)

Semester three modules

You study research methods and do a substantial research project leading to a dissertation.

Assessment

Group and individual coursework. You also do a range of

  • problem solving assignments
  • workshops
  • practical projects
  • research activities.

Employability

On this course, you gain the knowledge, skills and experience you need to work in many different positions, from technical to management roles.

The Institute of Information Security Professionals (IISP) has highlighted the following specialisms in the area.

Strategy, policy, governance

• strategist • policy manager • information technology services officer (ITSO) • department security officer (DSO) • chief information security officer (CISO)

Risk management, verification and compliance

• risk analyst • risk assessor • business information security officer • reviewer • auditor

Incident and threat management and response

• incident manager • threat manager • forensics (computer analyst, mobile and network analyst) • computer security incident response team (CSIRT) • attack investigator • malware analyst • penetration tester • disaster recovery • business continuity

Operations and security management

• network security officer • systems security officer • information security officer • crypto custodian • information manager

Engineering, architecture and design

• architect • designer • development • secure coding • software design and development • applications development • security tools • implementation

Education, training and awareness

• security programme manager

Research

• security researcher

Successful graduates of this course have gone on to work for companies such as HSBC, Citrix, and Price Waterhouse Coopers.



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The Bath MSc in Innovation and Technology Management is designed for engineering, science and management graduates who are looking to develop an in-depth understanding of innovation and technology management concepts and methods, and the skills to apply these in real life. Read more
The Bath MSc in Innovation and Technology Management is designed for engineering, science and management graduates who are looking to develop an in-depth understanding of innovation and technology management concepts and methods, and the skills to apply these in real life. It is delivered jointly by two of the University's top ranked departments- the School of Management and the Department of Mechanical Engineering.

Whilst other programmes explore the management of technology from either a technical or management perspective, our MSc is unique through its combination of management and engineering, integrating the two disciplines to ensure you have the necessary skills to manage across boundaries.

Visit the website http://www.bath.ac.uk/management/msc-innovation-technology-management/

Why study the MSc in Innovation and Technology Management?

* Improve your employability - learn how to engage more competently in collaborating across complex inter-organisations networks, differentiating yourself from the competition and significantly improving your employability
* Develop your leadership capabilities - the MSc in Innovation and Technology Management will equip you with key management skills enabling you to take the lead on strategic decisions on innovation and technology management.
* Engage with practitioners to solve “real-life” problems- undertake live assignments with University of Bath sponsor organisations, enabling you to apply theoretical knowledge in practice.
* Increase your skill set by learning how to implement a number of advanced design techniques and methodologies including rigorous decision analysis.
* Gain knowledge of international competence in complex networks: a vital skill in today’s global environment.
* Flexible approach – option to steer more towards engineering or management during your dissertation.
* Access to leading-edge research from two of the University of Bath’s highly rated departments.
* Qualify from a top ranked Business school, Engineering Faculty and University.

Structure and content

The programme has been designed around the specific themes of Innovation & Technology Management. The units are structured to provide a strong and coherent narrative. The introductory unit takes a high level look at innovation management, introducing the key themes and concepts that will be explored in more depth throughout the year. Subsequent units are focused on an aspect of innovation such as: creativity; strategy; new product development; and commercialisation. Every unit is bespoke - that is, tailored to the exact needs of the ITM programme. Each unit is delivered in modular format, over 1 week, which creates a unique, in depth learning experience.

Semester 1
-Management of Innovation
-Decision Analysis
-Managing Product Development
-Systematic Approaches to Innovation
-Creativity and Design for Innovation

Semester 2
-Engineering and Project Management
-Commercialisation of New Technology
-Innovation in Networks
-Technology Strategy and Organisation
-International networks for production, services & logistics

The programme finishes with a Dissertation of between 10,000-12,000 words.

Career development and support

We recognise that enhancing your employability is a primary goal for undertaking a Master's degree at Bath. We have a successful track record and extensive experience of working with a wide range of global organisations to develop the right skills and competencies that our students will need to achieve their career goals.

Destinations of our MSc in Innovation and Technology Managment graduates (2014):

100% of 2014 MSc Innovation and Technology Management graduates were employed within 6 months of graduation. Our outstanding record for employability is reflected in the companies and organisations where these graduates now work:

Recruiters include:

Abide Financial
Aston Martin Lagonda
Bain & Company
Bloomberg
EY
GDR Carbon China
Mercedes Benz
Technovation Partners
Zhongrong International Trust

Career Development Programme

Our expert careers team is dedicated to providing first class careers support exclusively for School of Management MSc students.
We offer a Comprehensive Career Development Programme and provide an individual service by working with you on a one-to-one basis to identify your career goals and help you to plan your job search.

Our Career Development programme is integrated into your MSc timetable and includes;

- An overview of career opportunities in different sectors
- Workshops on the recruitment process including: CVs, cover letters, application forms and interview advice
- Mock interviews and assessment centres
- Opportunities to network with graduate recruiters, sector specialists and alumni
- Guest speakers, company visits and presentations, employer-led skills sessions
- Development of employability skills by participating in company sponsored community projects
- Week-long business immersion week - The Future Business Challenge
- Additional support for international students and those seeking global job opportunities

A highly ranked business school

We have established ourselves as one of Europe’s leading business schools and 2016 marks the 50th Anniversary of the University of Bath, celebrating our past achievements and looking forward.

The School of Management is one of the UK's leading business schools. Currently ranked 1st for Student Experience (Times Higher Education 2015) (http://www.bath.ac.uk/management/about/rankings.html#NSS) and 1st for Business & Management (The Complete University Guide 2016) (http://www.thecompleteuniversityguide.co.uk/league-tables/rankings?s=Business+%26+Management+Studies), we are a leading centre for management research - placed 8th in the UK in the latest REF2014 (http://www.bath.ac.uk/management/about/rankings.html#ref) for business and management studies, confirming the world-class standing of our faculty.

Find out about the department here - http://www.bath.ac.uk/management/faculty/

Find out how to apply here - http://www.bath.ac.uk/management/msc-operations-logistics-supply-chain/how-to-apply

Government Loans

A new system of postgraduate loans for Masters courses is being developed for students at English universities. There will be loans of up to £10,000 available for Masters students starting a course in 2016/17. More information is available on the study site (http://www.bath.ac.uk/study/pg/funding/taught/government-loans/index.html) and the government website external website.

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The full-time Master in Supply Chain Management is unique in Europe. It combines a thorough education in relevant theories and state-of-the-art methods and techniques with a transdisciplinary and integrated view to gain a deeper understanding of supply chain related decision problems from a performance perspective. Read more
The full-time Master in Supply Chain Management is unique in Europe. It combines a thorough education in relevant theories and state-of-the-art methods and techniques with a transdisciplinary and integrated view to gain a deeper understanding of supply chain related decision problems from a performance perspective.

Visit the website: https://www.wu.ac.at/en/programs/masters-programs/supply-chain-management/overview/

Course detail

Supply chain networks are the skeletons that underpin the business world. These networks are increasingly global in nature, with products consisting of parts manufactured in different regions of the world, assembled in other locations, and then shipped across continents to retailers and consumers. Such complex networks consist of manufacturers and their suppliers, shippers and carriers using various modes of transportation, distribution centers where the products are stored and sent to retailers which ultimately supply the customers. Supply chains involve many decision-makers interacting with one another, sometimes competing, and at other times cooperating out of necessity.

The Master in Supply Chain Management focuses on the analysis, design, management, and operation of supply chains in manufacturing and professional service industries. Using a broad definition of supply chain management (SCM), supply chain problems are being tackled in profit and non-profit environments. The former includes retailers, wholesalers, logistics service providers, manufacturers, and suppliers, while the latter includes the public sector and non-governmental organizations, for example in disaster relief logistics.

Format

You can choose two out of six specialization areas following your interests:

- Business Analytics in Supply Chains
- Location Analytics and Geospatial Data
- Retail Marketing
- Supply Chain Finance and Risks
- Sustainable and Humanitarian Supply Chains
- Transport and Logistics.

A thorough international experience

The Master's program in Supply Chain Management focuses not only on global issues connected to supply chains but also attracts many international students. The student body is made up of a broad variety of nationalities. The students who enrolled in the fall of 2014 come from 18 different countries, located on four continents. Hence, the program offers a truly international experience through an international education, an internationally renowned faculty as well as an international culture among the students throughout the two years.

Career Prospects

Exceptional management of the procurement, production and delivery of a firm's products and services - its supply chain - is an essential part of modern business life. The Master's program in Supply Chain Management at WU Vienna prepares graduates to stand out in this challenging and critically important career field.

Graduates of the Master's program are qualified to be tomorrow's experts in the increasingly complex world of supply chains, including:

- supply chain strategy/controlling/planning,
- business process excellence,
- inventory management,
- lean/green supply chain management,
- manufacturing and logistics,
- sourcing and purchasing,
- sales and after sales services, or
- advanced planning systems.

If your ambition is an academic and/or a research career you will achieve the necessary qualifications to succeed in this dynamic and challenging field.

How to apply: https://www.wu.ac.at/en/programs/masters-programs/supply-chain-management/application-admission/

Funding

Information on funding and scholarships can be found at the following webpage: https://www.wu.ac.at/en/students/my-degree-program/masters-student-guide/grants-and-scholarships/

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Our leadership and management masters is a challenging and innovative course that has been designed for mid-senior managers looking to enhance their career prospects and refine their own individual qualities to become a leader in the workplace. Read more
Our leadership and management masters is a challenging and innovative course that has been designed for mid-senior managers looking to enhance their career prospects and refine their own individual qualities to become a leader in the workplace.

The course is made up of a number of creative and innovative modules which are designed to provide you with a broad knowledge of strategic and operational processes, and techniques associated with leadership activities within an organisation.

Ideal for individuals or organisations who want to tailor a programme of study to address particular development needs, the course makes it possible to gain credit and recognition for work-based projects or professional development activities whilst topping up your professional skills and managerial knowledge.

See the website http://courses.southwales.ac.uk/courses/793-msc-leadership-and-management

What you will study

The MSc Leadership and Management will give you the opportunity to explore the behaviours and the role of leadership and how it may influence the individual, the team and the organisation. Theories of leadership will be discussed and applied to your own leadership practice and that of your organisation.

Organisational leadership themes relating to power, politics, ethics, gender and cross-cultural leadership will be considered.

Significant leadership and management processes will be studied such as creating an environment for constant change; understanding and moulding organisational culture; building trust and a high performance team culture; managing and leading complex networks, alliances and partnerships; and the contribution of Human Resource Management.

We will also explore new and cutting edge approaches to leading including critical studies that have questioned the nature and necessity of leadership in organisations.

Modules of study include:

- Managing Professional Development
Through studying this skills based module you will become critically self-reflective in relation to your practice. You will also enhance your employability.

- Strategic Leadership
This module will provide you with the knowledge and understanding of leading/managing for high performance.

- Global & Strategic Issues in Leadership & Management
You will explore how modern leaders and managers need to have some understanding of global and strategic issues.

- Understanding & Managing Change
You will examine leadership and management in relation to change, specifically looking into the business case for change.

- Research Methods
Studying this module you will gain the skills and knowledge required in relation to methodology and methods to undertake your dissertation.

- Coaching for Executive Leadership & Management
Coaching is increasingly being used in companies as a means of supporting enhanced performance either as a general management approach or through the use of a formal external coach. This module will build your skills in relation to the use of coaching as a management tool for enhancing goal-orientated performance.

- Dissertation
You will be required to undertake an in-depth piece of academic work where you will critically evaluate literature and apply this to an original piece of research normally within your place of work. This will be of significant value to your organisation.

Learning and teaching methods

Course delivery is highly flexible and includes a mixture of classroom and work based learning, so you can fit your career development around your work commitments. Throughout the course you will undertake a number of bespoke work related assignments and gain additional support through our personal mentor/work based mentor scheme.

You will also be encouraged to take responsibility for your own learning by completing guided reading, individual and organisational analyses, and written assignments.

Delivery is normally by blended learning using 3 day weekend blocks over two weekends on a Saturday/Sunday.

Work Experience and Employment Prospects

Through a supportive learning environment active, participative and an action learning approach you will have the opportunity to develop your knowledge, skills, and understanding of leadership and management theory and practice that will be relevant to you and your organisation.

Studying the MSc Leadership and Management will give people who have a few years management experience the opportunity to contextualise their own and their organisational leadership practice.

This MSc Leadership and Management will enhance the career prospects of leaders and managers from all sectors.

Assessment methods

There are no examinations and all modules are assessed through course work. Assessments are work-based so students should normally be in work to undertake the course.

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The MSc covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background and makes them well equipped to proceed to become the ideal choice for the best employers in internet-related industries and the areas requiring big data analytical skills. Read more
The MSc covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background and makes them well equipped to proceed to become the ideal choice for the best employers in internet-related industries and the areas requiring big data analytical skills.

Degree information

Students will gain a detailed knowledge and understanding of web-related technologies and big data analytics, ranging from information search and retrieval, natural language processing, data mining and knowledge acquisition, large-scale distributed data analytics and cloud computing to e-commerce and their business economic models and the latest concepts of social networks.

MSc students undertake modules to the value of 180 credits.

The programme consists of five core modules (75 credits), three option modules (45 credits) and the research dissertation (60 credits).

Core modules
-Information Retrieval and Data Mining
-Statistical Natural Language Processing
-Complex Networks and Web
-Web Economics

Optional modules - students can choose three of the following:
-Cloud Computing
-Computer Graphics
-Entrepreneurship: Theory and Practice
-Interaction Design
-Applied Machine Learning
-Machine Vision
-Supervised Learning
-Understanding Usability and Use
-Distributed Systems and Security

Dissertation/report
All students undertake an independent research project which culminates in a substantial dissertation.

Teaching and learning
The programme is delivered through a combination of lectures, tutorials and seminars. Lectures are often supported by laboratory work with help from demonstrators. Student performance is assessed by unseen written examinations, coursework and the dissertation.

Careers

Graduates from UCL are keenly sought by the world's leading organisations, and many progress in their careers to secure senior and influential positions. Graduates of our Web Science and Big Data Analytics programmes are expected to develop careers in scientific research, the internet-based industry and other professional areas that require big data analytics skills.

Employability
The skill set obtained from our MSc makes our students the ideal choice for the best employers in internet-related industries and sectors requiring big data analytics. The MSc has a unique industry connection as almost all our lecturers have industry experience. Through long-term collaborations with big players in the field such as Google, Microsoft and BT, research is driven by the fundamental technical challenges faced by the industry. Throughout the degree, our students have the chance to interact with our industry collaborators and previous students, and have placement opportunities to address the specific technical problems faced by the industry.

Why study this degree at UCL?

UCL Computer Science is recognised as a world leader in teaching and research, and was one of the top-rated departments in the country according to the UK government's recent Research Excellence Framework.

Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries, from entertainment to finance.

We take an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.

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The MRes covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background and makes them well equipped to proceed to become the ideal choice for the best employers in internet-related industries and the areas requiring big data analytical skills. Read more
The MRes covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background and makes them well equipped to proceed to become the ideal choice for the best employers in internet-related industries and the areas requiring big data analytical skills.

Degree information

Students will gain a detailed knowledge and understanding of the fundamental principles and technological components of the World Wide Web, learning not only the latest web search and information retrieval technologies and their underlying computational and statistical methods, but also studying essential large-scale data analytics to extract insights and patterns from vast amounts of unstructured data.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (30 credits), four option modules (60 credits), and the research dissertation (90 credits).

Core modules
-Investigating Research
-Researcher Professional Development

Optional modules
-Complex Networks and Web
-Web Economics
-Information Retrieval and Data Mining
-Distributed Systems and Security
-Multimedia Systems
-Or an elective module from other Computer Science programmes

Dissertation/report
All students undertake an independent research project which culminates in a substantial dissertation.

Teaching and learning
The programme is delivered through a combination of lectures, tutorials and seminars. Lectures are often supported by laboratory work with help from demonstrators. For the research project, each student is liaised with their academic or industrial supervisor to choose a study area of mutual interest. Student performance is assessed by unseen written examinations, coursework and the research dissertation.

Careers

Graduates from UCL are keenly sought by the world's leading organisations, and many progress in their careers to secure senior and influential positions. Graduates of our Web Science and Big Data Analytics programmes are expected to develop careers in scientific research, the internet-based industry and other professional areas that require big data analytics skills.

Employability
The skill set obtained from our MRes makes our students the ideal choice for the best employers in internet-related industries and sectors requiring big data analytics. The MRes has a unique industry connection as almost all our lecturers have industry experience. Through long-term collaborations with big players in the field such as Google, Microsoft and BT, their research is driven by the fundamental technical challenges faced by the industry. Throughout the degree, our students have the chance to interact with our industry collaborators and previous students, and have placement opportunities to address specific technical problems faced by the industry.

Why study this degree at UCL?

UCL Computer Science is recognised as a world leader in teaching and research, and was one of the top-rated departments in the country according to the UK government's recent Research Excellence Framework.

Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries, from entertainment to finance.

We take an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.

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Our Chemistry Master's programme provides you with an exceptional toolbox for your future. The programme is closely associated with the research Institute for Molecules and Materials (IMM). Read more

Interdisciplinary approach

Our Chemistry Master's programme provides you with an exceptional toolbox for your future. The programme is closely associated with the research Institute for Molecules and Materials (IMM). Its mission is to fundamentally understand, design and control the functioning of molecules and materials. The institute is a centre of excellence that trains the next generation of leaders in science and entrepreneurship. Research in the IMM ranges from condensed matter science to chemical biology, and builds on novel theoretical, synthetic and spectroscopic methods. Our goal is to explore new roads proceeding from synthesis and growth to design and architecture of molecular constructs and materials with specific, desired properties. The cooperation of chemists and physicists, and increasingly biologists, in one research institute is unique worldwide. It is the secret of IMM's success and its many scientific breakthroughs.

Specialisations within the Master's in Chemistry

The Master's programme in Chemistry offers you three specialisations:
- Chemistry for Life
- Molecular Chemistry
- Physical Chemistry

Top scientists

The funding we have received for our research reflects the achievements we have made. Prof. dr. Wilhelm Huck received an ERC Grant for his research on chemical reactions in extremely small drops of water. The ultimate goal is to build a synthetic cell for this. We need to understand how complex networks function in confined spaces and how the physical environment of the cell impacts on enzymatic reactions. Prof. dr. Roeland Nolte received an ERC to do research on the development of supramolecular catalysts and materials using nature as a guide. Prof. dr. Jan van Hest received funding from the Gravitation programme for his work on self-repairing materials, materials that continually adapt to their environment. This includes the idea of how the body repairs its cells and ensures that the right substances reach the right places at the right time. They want to gain fundamental understanding of the complexity of that dynamic.

The Nijmegen approach

The first thing you will notice as you enter our Faculty of Science is the open atmosphere. This is reflected by the light and transparent building and the open minded spirit of the people that you will meet, working, exploring and studying there. It is no wonder students from all over the world have been attracted to Nijmegen. You study in small groups, in direct and open contact with members of the staff. In addition, Nijmegen has excellent student facilities, such as high-tech laboratories, libraries and study ‘landscapes'.

Studying by the ‘Nijmegen approach' is a way of living. We will equip you with tools which are valuable for the rest of your life. You will be challenged to become aware of your intrinsic motivation. In other words, what is your passion in life? With this question in mind we will guide you to translate your passion into a personal Master's programme.

Quality label

For the third time in a row, this programme was rated number one in the category Chemistry in the Netherlands by the Keuzegids Masters 2015 (Guide to Master's programmes).

Career prospects

Most of our graduates take up a PhD position, either in Nijmegen or elsewhere in the world. Our research institutes have many vacancies for PhD projects every year. Our graduates also find work as researchers and managers in industry, in business and in research institutes.

Our approach to this field

"The Republic has no need of chemists and savants", were the words with which Antoine Lavoisier, one of the founders of modern chemistry, ended up on the guillotine during the French revolution. Fortunately these days the importance of chemistry for the benefit of a sustainable society is well-recognised. As such, chemistry has been designated a key area by the Dutch "innovatieplatform". So there will be many chemistry-related innovation initiatives in both industry and academia. This will be substantiated by a steering committee formed by the Association of Dutch Chemical Industries (VNCI) and the Chemical Science division of the Netherlands' Organisation for Scientific Research (NWO/CW). These developments demand a continuous influx of well-trained chemists.

An integrated Chemistry programme was set up at the University of Nijmegen in 1962. The current Master's degree programme in Chemistry derives from the integrated programme that was established in 1999.

Radboud University Nijmegen aims to provide a Master's degree programme in Chemistry at an internationally recognised level. The programme is based on the research themes that exist within the Research Institute for Molecules and Materials (IMM) and to a somewhat lesser extent, the Radboud Institute for Molecular Life Sciences (RIMLS). In recent years, the IMM has focused on chemistry research in the areas of organic chemistry (synthetic, bio-organic, supramolecular and materials), nuclear magnetic resonance (solid state NMR and biophysical chemistry), and solid state chemistry. Furthermore, increasing research interaction with biology and physics groups has emerged to offer ample opportunities for new research and education. Based on this research, modern, high quality education can be provided within the Master's degree programme.

See the website http://www.ru.nl/masters/chemistry

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With the rapid development of smart sensors, smartphones and social media, "big" data is ubiquitous. Read more
With the rapid development of smart sensors, smartphones and social media, "big" data is ubiquitous. This new MSc teaches the foundations of GIScience, database, spatial analysis, data mining and analytics to equip professionals with the tools and techniques to analyse, represent and model large and complex spatio-temporal datasets.

Degree information

Students will be equipped with computational foundations and skills needed for big data analytics including visualisation, prediction, clustering and simulation with statistical and machine learning approaches, as well as retrieving and mining big (open) data, web services and cloud computing, web and mobile applications, by practising with real case data and open software.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a dissertation/report (60 credits).

A Postgraduate Diploma, four core modules (60 credits), two optional modules (60 credits), full-time nine months is offered.

Core modules
-GIS Principles and Technology
-Principles of Spatial Analysis
-Spatial Databases and Data Management
-Spatio-temporal Analysis and Data Mining

Choose four options from the following:
-Introductory Programming (requires Applied Machine Learning option)
-Complex Networks and Web
-Representation, Structures and Algorithms
-Mapping Science
-Supervised Learning (requires Applied Machine Learning)
-Web Mobile GIS
-Information Retrieval & Data Mining (requires Introductory Programming)
-Geographic Information System Design
-Applied Machine Learning (requires Introductory Programming, and Supervised Learning)

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 15,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, seminars, and laboratory practicals. Assessment is through examination, coursework, practicals, dissertation, and poster presentation.

Careers

Graduates from this programme are expected to find positions in consultancy, local government, public industry, and the information supply industry, as well as in continued research. Possible career paths could include: data scientist in the social media, finance, health, telecoms, retail or construction and planning industries; developer of spatial tools and specialised spatial software; researcher or entrepreneur.

Employability
Graduates will be equipped with essential principles and technical skills in managing, modelling, spatial and spatial-temporal analysis, visualising and simulating "big" spatio-temporal data, with emphasis on real development skills including: Java, JavaScript, Python and R. Business Intelligence (BI) skills will also be taught via practical case studies and close collaborations with leading industrial companies and institutions. All these skills are highly valued in big data analysis.

Why study this degree at UCL?

As one of the world’s top universities, UCL excels across the physical and engineering sciences, social sciences and humanities.

Spanning two UCL faculties, this interdisciplinary programme exploits the complementary research interests and teaching programmes of three departments (Civil, Environmental & Geomatic Engineering, Computer Science, and Geography).

Students on the Spatio-Temporal Analytics and Big Data Mining programme will be part of a vibrant, enthusiastic, and international research environment in which collaboration and free-ranging debate are strongly encouraged. This is supported by weekly research seminars and industrial seminars from top employers in the field.

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This highly technical course is aimed at networking professionals who already have Cisco CCNA or equivalent networking skills and experience (CCNA certification is recommended but not required). Read more

This highly technical course is aimed at networking professionals who already have Cisco CCNA or equivalent networking skills and experience (CCNA certification is recommended but not required). Each of the modules are designed to prepare you for the latest Cisco certification exams and to develop the critical and analytical skills required for the challenges faced in today's enterprise infrastructures.

The ability to provide scalable, integrated, flexible and secure networks is critical for modern enterprises. Graduates from this course gain the skills and knowledge to become valued experts in their field.

You learn both practical and theoretical skills in the areas of designing, building, troubleshooting and managing complex secure network systems. The course complements your academic achievements by funding a single attempt at each of the latest Cisco Networking Professional Routing and Switching Certification exams.

Our networking labs are comprehensively equipped with the latest Cisco switches, routers and security devices. You work on different platforms including • Campus LAN Access Switches (Cisco Catalyst 2960, 3560 Series) • Campus LAN Compact Switches (Cisco Catalyst 3560-CX Series) • Campus LAN Core and Distribution Switches (Cisco Catalyst 6500 Series Switches) • Security Appliances (Cisco ASA 5510, IPS 4240)• Enterprise and ISR Routers (Cisco 2800, 2900 Series) • Cisco wireless devices • VOIP devices • ADSL connections • VMWare virtual computing platforms. Your lab facilities are available from 8am to midnight during term time and are not limited to your tutorial sessions.

After the successful completion of your taught modules, the dissertation enables you to work on a real project with a company, or research and develop your own complex system for further analysis.

The course has been designed with industry in mind. The theoretical and practical learning you engage with is directly related to the latest trends in industry. The timetabling arrangements are specially designed to be suitable for both part-time and full-time study.

This course helps prepare you for exams in • Cisco Certified Networking Professional (CCNP R&S) • Cisco Certified Design Architect (CCDA) • Cisco Certified and Networking Associate Security (CCNA Security). A single attempt at the latest CCNP R&S exams is included in the fee.

Course structure

Full time - September start - typically 12 or 16 months

Part time - September start - typically 36 months

Core modules

  • Advanced switching and enterprise switching
  • Advanced routing and enterprise routing
  • Network troubleshooting
  • Cloud technologies
  • Network Security
  • Advanced Network Design
  • Research principles and practice
  • Dissertation

Assessment

Modules are assessed using coursework. Assignments are typically individual pieces of work but some modules involve group work.Assessments are most often completed through practical work, supported by reports or presentations.

Employability

Graduates from this course have the skills and knowledge to work in most areas of IT, particularly as a network engineer, IT consultant or IT manager.

You are well placed to fast-track into the more technical areas of network engineering. Our graduates work in companies as diverse as Cisco, Sky, PlusNet, IBM, Citrix and BT in roles which range from network engineer through to network architect.



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A flexible and interdisciplinary programme, which challenges you to use your specific knowledge to unravel the workings of the human brain. Read more
A flexible and interdisciplinary programme, which challenges you to use your specific knowledge to unravel the workings of the human brain.

Our brain contains many ingenious networks of millions of interconnected neurons. Together, they have a storage capacity and flexibility that far exceed modern supercomputers, or any artificial intelligent system. The Master’s specialisation in Neuroscience aims at unravelling the neuro-biological and neuro-computational mechanisms of this fascinating, complex system. We study the full spectrum from molecule to man, and from experiment to advanced theory and models.

The brain, as part of the human body, may at a first glance seem the exclusive domain of Biology. However, as the communication between neurons involves neurotransmitters and electrical ionic currents, understanding these mechanisms calls for knowledge of Chemistry and Physics. Moreover, studying mechanisms of coding and encoding of neural signals, requires advanced concepts from Mathematics and Informatics. By working together, our students learn to view complex issues from all these different sides.

Choose your own angle

Neuroscience at the Science Faculty ranges from biology to physics and mathematics, and will thus appeal to students from different Master’s programmes. The programme can be readily adapted to your individual academic background – whether that is in the field of Biology, Mathematics, Physics or Computing Science. Apart from fundamental knowledge of the brain, the Neuroscience specialisation also provides you with a general background in the principles of complex systems, and of intelligent behaviour of living and artificial systems.

Why study Neuroscience at Radboud University?

- Radboud University is the only university in the Netherlands that covers the complete research field of Neuroscience, from cognition to behaviour, and from sub-cellular processes, to single cell analysis and big data.
- The specialisation is closely connected to the world-renowned Donders Institute for Brain, Cognition and Behaviour (DI). You will get the chance to work with DI researchers during your internship, and build up a high profile network for your future career.
- The courses have a strong focus on research: they will cover the latest developments in brain research and technology, and train you the essential academic skills.
- You will work with students and researchers from different backgrounds in the natural sciences and become acquainted with a wide variety of research methods and scientific approaches.

Change perspective

The brain, as part of the human body, may at a first glance seem the exclusive domain of Biology. However, as the communication between neurons involves neurotransmitters and electrical ionic currents, understanding these mechanisms calls for knowledge of Chemistry and Physics. Moreover, studying mechanisms of coding and encoding of neural signals, requires advanced concepts from Mathematics and Informatics. By working together, our students learn to view complex issues from all these different sides.

Career prospects

Master’s specialisation in Neuroscience
The Master’s specialisation in Neuroscience gives you the chance to work at the Donders Institute for Brain, Cognition and Behaviour, and build up your own network of international renowned scientists who are working on the human brain: an excellent preparation for a future career in science. Neuroscience will also provide you with general skills that are required for any other job you aspire:
- the ability to structure complex problems
- excellent social skills for working in a multidisciplinary team
- extensive experience in presentations
- academic writing skills

Our approach to this field

At Radboud University, all branches of Neuroscience are accounted for, and strongly intertwined through the Donders Institute for Brain, Cognition and Behaviour (DI). This unique combination of expertises is a real advantage for Neuroscience students: it gives you absolute freedom to develop your knowledge in your field of interest and a high profile network for your future career.

- Science faculty
In this specialisation at the Science faculty, you will use your background in the natural sciences to unravel neurobiological processes. When completed, you will receive a Master’s degree in Medical Biology, Molecular Life Sciences, Physics & Astronomy or Science. For highly talented students it is possible to obtain a second Master’s degree at the selective Research Master’s in Cognitive Neuroscience of the DI, which has a more cognitive approach. This extra Master’s degree takes one additional year (60 EC) to complete.

- Themes
The Master’s specialisation in Neuroscience focuses on three of the four research themes of the Donders Institute for Brain, Cognition and Behaviour:

- Perception, Action and Control
Focus: Studying sensorimotor mechanisms, their cognitive and social components, their clinical implications, and their relevance for robotics.

Research: Researchers use theoretical analysis, psychophysical and behavioural studies, neurophysiological techniques, neuroimaging, clinical and pharmacological interventions, developmental and genetic approaches.

- Plasticity and Memory
Focus: The development and decay of the healthy and the maladaptive brain.

Research: Researchers in this field study the mechanistic underpinnings and behavioural consequences of long-term changes in neural structure and function. Genetic, molecular and cellular methods, animal models, as well as human neuroimaging and cognitive neuropsychology are used.

- Brain Networks and Neuronal Communication
Focus: Complex neural networks, ranging from the very smallest – communication between individual neurons – to the largest: communication between different brain areas and the outside world.

Research: The research groups combine the development of new techniques for measurements of connectivity and activation, with the experimental application of these techniques in studies of cognition in humans, non-human primates and rodents. Computational modelling is an important component.

- Custom approach
The specialisation programme depends on the Master’s programme that you will follow. In this way, it will perfectly fit to your current knowledge and practical skills. However, as all neuroscience research topics are interdisciplinary, you will become acquainted with other disciplines as well. This will help you to develop a common ground that is necessary to communicate in a multi-faceted (research) team.

See the website http://www.ru.nl/masters/medicalbiology/neuro

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High-level training in statistics and the modelling of random processes for applications in science, business or health care. Read more
High-level training in statistics and the modelling of random processes for applications in science, business or health care.

For many complex systems in nature and society, stochastics can be used to efficiently describe the randomness present in all these systems, thereby giving the data greater explanatory and predictive power. Examples include statistical mechanics, financial markets, mobile phone networks, and operations research problems. The Master’s specialisation in Applied Stochastics will train you to become a mathematician that can help both scientists and businessmen make better decisions, conclusions and predictions. You’ll be able to bring clarity to the accumulating information overload they receive.

The members of the Applied Stochastics group have ample experience with the pure mathematical side of stochastics. This area provides powerful techniques in functional analysis, partial differential equations, geometry of metric spaces and number theory, for example. The group also often gives advice to both their academic colleagues, and organisations outside of academia. They will therefore not only be able to teach you the theoretical basis you need to solve real world stochastics problems, but also to help you develop the communications skills and professional expertise to cooperate with people from outside of mathematics.

See the website http://www.ru.nl/masters/mathematics/stochastics

Why study Applied Stochastics at Radboud University?

- This specialisation focuses both on theoretical and applied topics. It’s your choice whether you want to specialise in pure theoretical research or perform an internship in a company setting.
- Mathematicians at Radboud University are expanding their knowledge of random graphs and networks, which can be applied in the ever-growing fields of distribution systems, mobile phone networks and social networks.
- In a unique and interesting collaboration with Radboudumc, stochastics students can help researchers at the hospital with very challenging statistical questions.
- Because the Netherlands is known for its expertise in the field of stochastics, it offers a great atmosphere to study this field. And with the existence of the Mastermath programme, you can follow the best mathematics courses in the country, regardless of the university that offers them.
- Teaching takes place in a stimulating, collegial setting with small groups. This ensures that you’ll get plenty of one-on-one time with your thesis supervisor at Radboud University .
- More than 85% of our graduates find a job or a gain a PhD position within a few months of graduating.

Career prospects

Master's programme in Mathematics

Mathematicians are needed in all industries, including the banking, technology and service industries, to name a few. A Master’s in Mathematics will show prospective employers that you have perseverance, patience and an eye for detail as well as a high level of analytical and problem-solving skills.

Job positions

The skills learned during your Master’s will help you find jobs even in areas where your specialised mathematical knowledge may initially not seem very relevant. This makes your job opportunities very broad and is the reason why many graduates of a Master’s in Mathematics find work very quickly.
Possible careers for mathematicians include:
- Researcher (at research centres or within corporations)
- Teacher (at all levels from middle school to university)
- Risk model validator
- Consultant
- ICT developer / software developer
- Policy maker
- Analyst

PhD positions

Radboud University annually has a few PhD positions for graduates of a Master’s in Mathematics. A substantial part of our students attain PhD positions, not just at Radboud University, but at universities all over the world.

Our research in this field

The research of members of the Applied Stochastics Department, focuses on combinatorics, (quantum) probability and mathematical statistics. Below, a small sample of the research our members pursue.

Eric Cator’s research has two main themes, probability and statistics.
1. In probability, he works on interacting particles systems, random polymers and last passage percolation. He has also recently begun working on epidemic models on finite graphs.
2. In statistics, he works on problems arising in mathematical statistics, for example in deconvolution problems, the CAR assumption and more recently on the local minimax property of least squares estimators.

Cator also works on more applied problems, usually in collaboration with people from outside statistics, for example on case reserving for insurance companies or airplane maintenance. He has a history of changing subjects: “I like to work on any problem that takes my fancy, so this description might be outdated very quickly!”

Hans Maassen researches quantum probability or non-commutative probability, which concerns a generalisation of probability theory that is broad enough to contain quantum mechanics. He takes part in the Geometry and Quantum Theory (GQT) research cluster of connected universities in the Netherlands. In collaboration with Burkhard Kümmerer he is also developing the theory of quantum Markov chains, their asymptotic completeness and ergodic theory, with applications to quantum optics. Their focal point is shifting towards quantum information and control theory, an area which is rapidly becoming relevant to experimental physicists.

Ross Kang conducts research in probabilistic and extremal combinatorics, with emphasis on graphs (which abstractly represent networks). He works in random graph theory (the study of stochastic models of networks) and often uses the probabilistic method. This involves applying probabilistic tools to shed light on extremes of large-scale behaviour in graphs and other combinatorial structures. He has focused a lot on graph colouring, an old and popular subject made famous by the Four Colour Theorem (erstwhile Conjecture).

See the website http://www.ru.nl/masters/mathematics/stochastics

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