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Masters Degrees (Information Tech)

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The MSc Computing and Information Systems is designed for those wishing to pursue a career in industry related to developing complex information systems, processing of enterprise data and controlling business processes to guarantee usability, security, manageability and quality of information services according to the modern standards of the cyber age. Read more
The MSc Computing and Information Systems is designed for those wishing to pursue a career in industry related to developing complex information systems, processing of enterprise data and controlling business processes to guarantee usability, security, manageability and quality of information services according to the modern standards of the cyber age. The focus of the course is on the three recent movements within IT industry: Cloud Computing, Big Data and Internet of Things. The focus of the course is on the three recent movements within IT industry: cloud computing, big data and the internet of things.

More about this course

The course will be based on development tools and software technologies for data, system and service development, Cloud Computing, Big Data, Internet of Things and Information Security. It will also make use of new technologies for integration of embedded devices such as Arduino and Raspberry. Students will be able to choose options from Mobile application development, cybercrime and security, data and visualisation or work related learning before embarking on the project.

The course provides preparation and training which encourages students seeking positions within the financial, retail and entertainment sectors. It incorporates materials for professional training, which prepare you for professional certification in Oracle SQL, Java Enterprise and Hortonworks Data Platform.

The extensive collaboration between the School of Computing and industries in London resulted in numerous Knowledge Transfer Partnerships and Consultancy Projects. These won a number of national awards and made London Met graduates renowned for their high starting salaries. Due to the high demand for specialists in this area, students on the course can rely on help in finding jobs both in the numerous high-tech startups as well as big financial organisations in the City of London.

A range of assessment methods is employed throughout the course:
-Case study reports and presentations
-Computer laboratory workshops
-Individual and group coursework
-Unseen examinations
-In class tests
-Individual vivas

The method of assessment for each module is clearly described in the individual module guide which is made available to the students at the start of the semester. Every module has dedicated website providing students with comprehensive learning/teaching material including workshop exercises. Module leaders use this site regularly to communicate with their students including guidelines on how prepare for assessment, supporting materials, and general feedback.

Professional accreditation

This course is not currently accredited, however, students who wish to pursue professional certification will be assisted to sit the certification exams in Databases, Java Enterprise and Apache Hadoop by Oracle and Hortonworks.

Modular structure

The course has a September start with three semesters spread over one academic year. Each semester is 60 credits with the final semester dedicated to your dissertation.

Indicative core modules:
-Information Systems Development (20 credits)
-Enterprise Software Components and Systems Development (20 credits)
-Information Security (20 credits)
-Datawarehousing and Big Data (20 credits)
-Cloud Computing and Internet of Things (20 credits)
-MSc Project (60 credits)

Indicative optional modules, choose one from:
-Mobile Applications Design and Development (20 credits)
-Cyber Crime and Security (20 credits)
-Data Analysis and Visualisation (20 credits)

Detailed information about the structure and content of the course is provided in the course handbook which will be made available to the students at the start of the course.

After the course

The employment market has an abundance of posts that require skills in the three key areas of this course - Ccloud computing, big data and internet of things. There are many exciting employment opportunities available, including:
-Enterprise Component Developer and System Integrator
-Data Warehouse and Big Data Manager
-Embedded and Mobile Devices Programmer
-Network Security and Cyber Security Consultant

Additionally, the course provides skills for seeking more traditional, but high demand industry roles:
-Software Engineer
-Internet Programmer
-System Programmer
-Database Administrator
-System Administrator

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Forensic information technology (FIT) is the scientific use or application of information technology (IT) in the generation and presentation of digital evidence to be used in courts, legal or other formal proceedings. Read more

Why take this course?

Forensic information technology (FIT) is the scientific use or application of information technology (IT) in the generation and presentation of digital evidence to be used in courts, legal or other formal proceedings.

This course will enable you to develop your understanding and application of security issues and cybercrime for the purpose of forensic computing and investigation.

What will I experience?

On this course you can:

Learn how to investigate hacking, fraud and deception using a range of digital forensic tools
Practise identifying intruders' trails and suspected inappropriate use of internet applications in order to compile scientific evidence to prosecute
Manage a real-life computer engineering project using appropriate techniques for writing and reasoning about security policies

What opportunities might it lead to?

Many police investigations or civil disputes involve investigation of computer systems, mobile phones or other information devices, and there are an increasing number of UK companies that undertake investigations as consultants. You can expect to find career opportunities in such companies as well as in law enforcement and other services.

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 (CITP). This course also partially meets the academic requirement for registration, either as a Chartered Scientist (CSci) or (on behalf of the Engineering Council) as a Chartered Engineer (CEng)*.

*On condition that the Master's Engineering Project is successfully completed.

Module Details

You will study four key topics which will collaboratively develop your knowledge and ability to carry out forensic IT investigations as well as an introduction on how to build protected specification software for data and other web applications. You will also get to build your own test system as part of your final project.

Here are the units you will study:

Computer Forensic Investigation and Cryptography: This unit covers the practical aspects of conducting a forensic investigation of digital evidence. In order for the students to develop a critical understanding of computer forensics, a holistic approach of the forensics investigation process is adopted, with a full investigation ‘life cycle’ from seizure of evidence through to giving evidence in court as an expert witness. We look at a range of tools, operating systems and devices.

Computer Security: The unit provides an introduction to computer security concepts and their practical application, in both closed and interconnected networks. Students are expected to both understand and be able to critically evaluate different approaches to securing complex computer systems.

Cybercrime Security and Risk Management: This unit provides opportunities for participants to develop skills and knowledge in the understanding of corporate cyber threats. Drawing upon a range of practical examples, students will examine how rapid technological development and expansion in access to the internet has impacted upon crime (e.g. how anonymity and unfounded trust encourage deception), mapping out the terrain of information technology, and identifying the emerging areas of cyber crime. Areas explored will include the crossing of established boundaries into spaces over which control has already been established such as cyber-intrusion and cyber-theft, but also 'new cyber crimes' in the form of virtual trespass, Denial of Service attacks, and the development of opportunities for offending in the context of social networking websites.

Master's Project: You will undertake either an engineering unit or a study project, during the summer period. The project offers students the opportunity to apply the taught material in the solution of a real-world problem directly related to their course. The engineering project usually involves building a piece of software to solve a problem. An example of the sort of thing you might do would be building a tool to address a specific forensics requirement. The study project usually involves undertaking a study of an IT domain relevant to forensics. To prepare for this the project includes a number of preparatory sessions, which contribute to part of your final mark.

Specialist optional units include:

Systems, Security and Data Analysis: The first part of the unit provides an overview of computer organisation, operating systems and network design, with a strong focus on security considerations and aspects relevant to computer and digital forensics. The early part of the unit will provide an introduction to relevant issues in system architecture and file system organisation. Threats to computer systems will be considered. The first half of the unit is concluded with studying in some depth current technologies for securing real computer networks. The second part of the unit deals with the important topic of data analytics.

Advanced Programming Skills for the Web: This unit draws together a number of system development skills, focusing on how they can be applied to the development specifically of web applications. Topics covered include web programming, connecting databases to web applications, software tools, testing and security.

Programme Assessment

You will be taught through a combination of practical exercises, simulations, lectures, guest lectures and formative assessments, and will be expected to use a wide range of on and offline learning tools.

You will encounter a range of assessment styles depending on the content and nature of the unit topic. This can include written assignments, presentations as well as group and individual lab-based assessments. However, the most significant assessment element is the final dissertation, which reports and reflects on your final project.

Student Destinations

On completing this course, you will be equipped to seek employment in the following areas: IT auditing, information security, independent investigation, Computer Emergency Response Teams (CERT) and law enforcement agencies. Some of our previous graduates have been successful in finding employment within high-tech crime units, commercial investigation and national security bodies, while others go on to further research study at PhD level.

This course will also appeal to already practising professionals in related areas such as law enforcement, system administration, corporate security, IS auditing or security analysis and management for the commercial sector.

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The Specializing Master provides skills for the design of active and interactive sportswear products, for lifestyle in terms of innovative materials and technology performance, for wearables accessories able to integrate fashion aesthetics with new contents and functions of the wearable technologies. Read more
The Specializing Master provides skills for the design of active and interactive sportswear products, for lifestyle in terms of innovative materials and technology performance, for wearables accessories able to integrate fashion aesthetics with new contents and functions of the wearable technologies. The goal is to train designers able to work in sportswear but also in those areas where are required skills capable of combining technical materials, new technologies and performance. Fashion Tech designer has a crucial role in Fashion, Sportswear and Lifestyle areas given his ability to connect the different worlds of fashion, sports, electronics and information technology.

Lessons will start on February 2018.

For information: http://polidesign.net/en/fashiontech

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The Technology Entrepreneurship MSc equips graduates that have a strong desire to be an entrepreneur with the skills and knowledge needed to develop their own start-up businesses. Read more
The Technology Entrepreneurship MSc equips graduates that have a strong desire to be an entrepreneur with the skills and knowledge needed to develop their own start-up businesses. The programme provides an effective grounding across a wide range of the applied disciplines required for the effective management of technical ventures.

See the website http://www.ucl.ac.uk/prospective-students/graduate/taught/degrees/technology-entrepreneurship-msc

Key Information

- Application dates
All applicants:
Open: 5 October 2015
Close: 29 July 2016
Optional qualifications: This degree is also available as a PG Diploma and a PG Certificate with fees set accordingly.

English Language Requirements

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good
Further information can be found on http://www.ucl.ac.uk/prospective-students/graduate/life/international/english-requirements .

International students

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from http://www.ucl.ac.uk/prospective-students/international .

Degree Information

Students gain a solid core of business, project management and team working skills, and are given the opportunity to hone their technical skills. For students who wish to develop their business idea following graduation, assistance is given in making valuable contacts with potential investors, business partners, venture capitalists and clients.

Students undertake modules to the value of 180 credits.

The programme consists of eight core modules (120 credits), and a research dissertation (60 credits).

A Postgraduate Diploma (120 credits, full-time nine months, part-time two years) is offered to students who are unable to complete the standard 180 credits.

A Postgraduate Certificate (60 credits, full-time three months, part-time nine months) is offered to students who are unable to complete the standard 180 credits.

- Core Modules
New Technology Ventures
Prototyping
Effectual Entrepreneurship
Entrepreneurial Marketing
Managing High-technology Organisations
Entrepreneurial Finance
New Venture Analytics
Strategy for High-tech Ventures

- Options
There are no optional modules for this programme.

- Dissertation/report
All students undertake an independent research project which includes a high-quality business or new venture plan as part of their 15,000-word dissertation.

Teaching and Learning

The programme is delivered through a combination of lectures, seminars, and class discussion. Students are given the opportunity to attend weekly lectures from leading global entrepreneurs and venture capitalists. Assessment is through presentations, course work, long-essay, class participation, open-book and unseen examination, and the dissertation.

Further information on modules and degree structure available on the department web site Technology Entrepreneurship MSc https://www.mgmt.ucl.ac.uk/msc-technology-entrepreneurship

Funding

Scholarships relevant to this department are displayed (where available) below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website http://www.ucl.ac.uk/prospective-students/scholarships .

Careers

Former Technology Entrepreneurship MSc students have gone on to create start-up companies such as: http://www.wowzer.com, and http://www.vungle.com, work for high-profile companies such as Barclays, Lloyds, Delloite, Tesco, UBS, Pegatron, Bank of New York, France Telecom, Tradedoubler, or higher education institutions such as UCL, Imperial College, Aberdeen University and the University of Cape Town.

Top career destinations for this degree:
- CEO, Wish Bird (2013)
- CEO, Blue Ronin (2013)
- CEO, We Like Shopping (2013)
- CEO, Jive Bike (2012)
- CEO, Vungle.com (2012)

Why study this degree at UCL?

UCL Management Science & Innovation offers a unique research and education programme with a focus on technology management, innovation, creation/growth of technology-intensive organisations, operations research, and entrepreneurship.

Technology Entrepreneurship MSc students have access to world-class technical expertise and resources within a structured framework of support and formal business education, backed up with strong links to UCL Advances.

Students have access to a wide range of innovation-focused initiatives and events at UCL, including the London Entrepreneurs' Challenge, weekly networking events and the Knowledge Exchange Associates scheme. UCL is based near London's 'Tech City'.

Student / staff ratios › 69 staff including 6 postdocs › 216 taught students › 5 research students

Application and next steps

- Applications
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.

- Who can apply?
The programme is suitable for recent graduates who intend to work in business but require specific training in the sector, for entrepreneurs who wish to found a business but need additional skills, resources and infrastructure, and for those in employment who wish to gain new skills for career development.

What are we looking for?
Together with essential academic requirements, the personal statement is your opportunity to explain your reasons for applying to study this particular MSc programme. The course requires that applicants have clear entrepreneurial ambitions and so you need to provide evidence of having begun to pursue these. In assessing your application, we also require you to clearly demonstrate why you want to study Technology and Entrepreneurship at UCL and how you hope to develop your future career as an entrepreneur with reference to the core course modules we offer.

For more information see the Applications page http://www.ucl.ac.uk/prospective-students/graduate/apply .

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Interweaving Theory and Practice. In the two-year, 60-credit full-time MFA Textiles program, you develop a critical understanding of textiles’ sociocultural, environmental, and emotional dimensions throughout human history and into our future. Read more

Interweaving Theory and Practice

In the two-year, 60-credit full-time MFA Textiles program, you develop a critical understanding of textiles’ sociocultural, environmental, and emotional dimensions throughout human history and into our future. You explore the potential to unite craft with innovative high-tech and bio-tech production. In studio courses, you develop skills in essential fabric-making techniques, such as fiber development and innovation, yarn sourcing and making, weaving and jacquard technology, knitting, pattern design, and textile embellishments. You refine your personal aesthetic sensibilities and understanding of sustainable practices on-site in NYC textile studios and design ateliers, deepening collaborative and conceptual abilities in weaving, dyeing, knitting, and printing. Instruction in business best practices is integrated into each aspect of the curriculum, bringing economic and conceptual real-world skills into the studio.

Cross-Disciplinary by Design

Your study in the MFA Textiles program is interdisciplinary by design. Coursework connects fields including art, architecture, interior and industrial design, as well as fashion and autonomous design. The curriculum unites concerns ranging from human dignity to environmental sustainability to social justice. Accordingly, the program welcomes applicants from various backgrounds in textile research and making related to the liberal arts as well as creative disciplines including fashion design, interior design, product design, fine arts, and architecture. The goal is to create a diverse textiles community committed to expanding the field and integrating the high-tech innovations of Silicon Valley with local craft techniques developed in the Hudson Valley. Your study prepares you for a future in which smart textiles play many roles, collecting and transmitting data in a variety of products, including domestic goods and woven technology.

Join the Critical Conversation

Textiles are integral to a diverse array of institutions and industries — from fashion design, interior design, and scenic design to ubiquitous computing, automotive design, acoustic design, and health. At the same time, textiles fulfill the desire for tactile stimulation that accompanies the recent rise in digital and virtual culture. In the MFA Textiles program, you explore these dynamics creatively and reflectively, dissolving the boundaries between technology and craft, in keeping with contemporary practice. In the process, you take an active role in textile cultures and industries, preparing to reimagine textile mills and design businesses, lend studio skills to companies, launch a business as an independent designer or high-tech researcher, or pursue advanced studies.

You can request more information here: http://www.newschool.edu/m/textiles?utm_source=find_a_masters&utm_medium=hyperlink_listing&utm_campaign=pm_parsons_grad&utm_term=textiles

Textiles are literally and figuratively woven into human history and culture. Today communities of makers, designers, and scholars are exploring textiles — from locally crafted materials to 3D knitted matter to hand-embellished fabrics — and pioneering textile-based industries and theory. The Master of Fine Arts in Textiles, launching in fall 2018, enables you to explore these dynamics creatively and reflectively, dissolving the boundaries between technology and craft. In the process, you are prepared for the growing array of creative and professional opportunities related to textiles in fashion design, product design, interior design, textiles research, set design, fine arts, architecture, and hybrid fields.

This program is part of the School of Fashion (SOF) at Parsons.

Textiles as Urban Practice

New York Textile Month — a September celebration of textile culture initiated by MFA Textiles founder Lidewij Edelkoort, dean of Hybrid Design Studies at Parsons — highlights the community-based approach to promoting textile industries that students in the program will find. Local partners in the event become your direct mentors, inviting you into their studios and businesses one day a week to build your creative skills and networks. The growing global interest in textile-related creation brings international players into the fold to partner with the program, extending your understanding of conceptualization and production. The program also draws on Parsons’ institutional partners such as Cooper Hewitt, Smithsonian Design Museum, with its extensive material collections and curatorial resources. Lectures and hybrid workshops by major international designers and producers add dimension to your learning.

You can request more information here: http://www.newschool.edu/m/textiles?utm_source=find_a_masters&utm_medium=hyperlink_listing&utm_campaign=pm_parsons_grad&utm_term=textiles



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This exciting new programme explores developments in cloud based and mobile commerce that are changing the way businesses will operate in the future. Read more

About the course

This exciting new programme explores developments in cloud based and mobile commerce that are changing the way businesses will operate in the future. The Business Intelligence and Social Media MSc draws together technology and business perspectives in order to understand the implications for social-media enabled business.

The course helps students prepare for a career in business and management within and beyond the IT sector by gaining technical skills and an appreciation of the crucial role social web technologies play in today’s organisations and their ability to transform business processes.

Aims

You will develop sound knowledge and understanding of new-media related business practices and transferable skills designed to meet the challenges of employment within the global economy.

You will gain understanding of the importance of information and mass communications technologies to the operations of modern businesses of all kinds.

You will be encouraged to reflect on the relevance of concepts to business and apply your newly developed skills in advance studies or professional practice. Successful graduates of the course progress to leadership and decision making roles in industrial organisations or develop successful consultancy and advisory businesses of their own.

Practitioners seeking a more commercially relevant and technology oriented master’s qualification in the area of new business technologies rather than an MBA find this course of interest.

Course Content

The MSc consists of both compulsory and optional modules, a typical selection can be found below. Modules can vary from year to year, but these offer a good idea of what we teach.

Compulsory Modules

Professional Consultancy in Business Intelligence and Social Media
Social Media
Business Intelligence
Mobile, Social Media and Cloud Services
Knowledge Management, Social Networks and Innovation
Entrepreneurship
Understanding Business and Management Research
Dissertation

Optional

Choose one module from these:

Global Outsourcing
International Business Ethics and Corporate Governance
Strategic Marketing Management
Global Diversity Management

Special Features

Brunel Business School won the Times Higher Education Awards Business School of the Year 2013

The course offers:

Curriculum focus on social media in business.
Teaching with and through social media.
Technologies introduced from non-tech perspective.
Focus on consultancy and entrepreneurship.
Opportunities for students to practice and develop problem analysis, solution design, advisory and communication skills, as well as to become familiar with business models and the life-cycle of business development.

Information Systems Evaluation and Integration Group

Academics who teach on this exciting programme are part of the Information Systems Evaluation and Integration Group which is a research centre of excellence that supports a number of Engineering and Physical Sciences Research Council (EPSRC) funded networks and projects. This group is housed in the Brunel Business School in collaboration with the excellent-rated (RAE score 5) School of Information Systems, Computing and Mathematics. ISEing is the first multi-disciplinary research group to receive government funding in the areas of Information Systems Evaluation, Enterprise Integration and eGovernment.

Teaching

The course is structured so that full-time students take four 15 credit modules per term, plus a 60 credit dissertation module in term 3. Each 15 credit module demands 150 hours of study comprised of 22 hours of tutor arranged contact time and a minimum of 128 hours of non-contact student managed time. Each module has its own form of assessment held at the end of the term in which the module runs, and can include essays, projects and group assignments. The dissertation is an extended research oriented task conducted individually and offers the opportunity for students to undertake in-depth investigation in to a topic of their choosing. Students may choose to develop a project in collaboration with an industrial partner, which can be focused on business solutions of practical relevance (rather than theoretical research).

Modes of Study

1-year full-time in September: The taught element of the course (September to April) includes eight modules; delivery will be by a combination of lectures, seminars and tutorials/group work. A further four months (May to September) is spent undertaking the dissertation.

1-year full-time in January: The taught element of the programme includes 8 modules which are delivered in two terms (four in January to April, and four in September to December); delivery will be by a combination of lectures, seminars and tutorials/group work. The dissertation is undertaken May to August, and then can be completed January to March after the second teaching term.

Graduate School Workshops

In addition to the events and training sessions organised within the Business School, master's students have exclusive access to the workshops and skills training provided by the Brunel University’s Graduate School.

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The award will provide the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Read more
The award will provide the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Graduates will be Cyber-operators, able to use ‘information’ as a defensive or offensive weapon.

Today, Cyber-Operators are required to have an ‘enriched’ background drawing elements of practical experience from fields as diverse as sociology, psychology, networks and network security, computer science and computer security, information management and information security, software engineering and reverse engineering, and of course, the law.

We have a diverse number of placements with companies from the security industry, high tech crime units and government organisations.

In January 2014 Staffordshire University announced exciting plans to create one main city campus in Stoke-on-Trent. This is to confirm this course will move from our Stafford Campus to Stoke-on-Trent Campus from Summer 2016.

Course content

Throughout the course you will be invited to attend guest lectures delivering workshops and conducting seminars with the students. Our visiting tutors are national and international security experts.

You will also have an opportunity in achieving industry recognised certification in Certified Ethical hacking.

Our purpose-built state of the art security laboratory offers each student a unique experience in enhancing your skills and knowledge in Cyber Security. As a result of winning a recent £5 million STEM bid, you will benefit from state of the art hardware resources, which will enhance your learning.

You will gain:
-Sound understanding of the computer science.
-Sound understanding of TCP-IP networks, the TCP-IP suite and its supporting protocols.
-Sound understanding and practical knowledge of digital forensics incidence response.
-Understanding and practical knowledge of managing information at all levels.
-Practical knowledge of the different types of computer crime.
-Ability to use with competency cyber-security toolkits.
-Ability to follow strict policies and procedures with meticulous record keeping.
-Good understanding of people and their motivational catalysts.
-Knowledge of evidence law and legal procedures.
-Ability to write reports on technical issues in a non-technical manner.
-Ability to address large audiences in a formal manner and affect their decision making process.

Core Modules
-Computer Security – Low Level
-Cyber Operations
-Malware analysis and Reverse Engineering
-Research Methods
-Operating Systems Security
-Digital Forensics & Incidence Response

Option Modules*
-Network Security with CISCO
-Network Security
-Penetration Testing
-Computer Security – High Level

*If you have CCNA certification (or an equivalent CISCO background), there will be the option of doing Network Security with the CISCO curriculum. Those of you who are not CCNA certified (or without an equivalent CISCO background), will do a less practical module of similar learning outcomes. After Teaching Block 2 you will have an option, again based on your prior knowledge on ethical hacking (and/or background, qualifications), for doing either Computer Security – High Level, which focuses on ethical hacking, or a more technical module on Penetration Testing.

Graduate destinations

The award will provide you with the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Graduates will be Cyber-operators, equipped with the skills to work in the security industry.

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Data Science brings together computational and statistical skills for data-driven problem solving. Read more
Data Science brings together computational and statistical skills for data-driven problem solving. This rapidly expanding area includes machine learning, deep learning, large-scale data analysis and has applications in e-commerce, search/information retrieval, natural language modelling, finance, bioinformatics and related areas in artificial intelligence.

Degree information

The programme comprises core machine learning methodology and an introduction to statistical science, combined with a set of more specialised and advanced options covering computing and statistical modelling. Projects are offered both within UCL Computer Science and from a wide range of industry partners.

Students undertake modules to the value of 180 credits.

The programme consists of three compulsory modules (45 credits), five optional modules (75credits) and a dissertation/report (60 credits).

Core modules
-Applied Machine Learning
-Introduction to Supervised Learning
-Introduction to Statistical Data Science

Optional modules - students choose a minimum of 30 credits and a maximum of 60 credits from the following optional modules:
-Cloud Computing (Birkbeck)
-Machine Vision
-Information Retrieval & Data Mining
-Statistical Natural Language Processing
-Web Economics

Students choose a minimum of 0 credits and a maximum of 30 credits from these optional Statistics modules:
-Statistical Design of Investigations
-Applied Bayesian Methods
-Decision & Risk

Students choose a minimum of 15 credits and a maximum of 15 credits from these elective modules:
-Supervised Learning
-Graphical Models
-Bioinformatics
-Affective Computing and Human-Robot Interaction
-Computational Modelling for Biomedical Imaging
-Stochastic Systems
-Forecasting

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 10,000-12,000 words.

Teaching and learning
The programme is delivered though a combination of lectures, seminars, class discussions and project supervision. Student performance is assessed through a combination of unseen written examination, coursework (much of which involves programming and/or data analysis), practical application, and the research project.

Careers

Data science professionals are increasingly sought after as the integration of statistical and computational analytical tools becomes more essential to organisations. A thorough understanding of the fundamentals required from the best practitioners, and this programme's broad base, assists data scientists to adapt to rapidly evolving goals. This is a new degree and information on graduate destinations is not currently available. However, MSc graduates from across the department frequently find roles with major tech and finance companies including:
-Google Deepmind
-Microsoft Research
-Dunnhumby
-Index Ventures
-Last.fm
-Cisco
-Deutsche Bank
-IBM
-Morgan Stanley

Why study this degree at UCL?

The 2014 Research Excellence Framework ranked UCL first in the UK for computer science. 61% of its research work is rated as world-leading and 96% as internationally excellent.

UCL Computer Science staff have research interests ranging from foundational machine learning and large-scale data analysis to commercial aspect of business intelligence. Our extensive links to companies provide students with opportunities to carry out the research project with an industry partner.

The department also enjoys strong collaborative relationships across UCL; and exposure to interdisciplinary research spanning UCL Computer Science and UCl Statistical Science will provide students with a broad perspective of the field. UCL is home to regular machine learning masterclasses and big data seminars.

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This award winning programme was designed in partnership with academics and employers to meet the specific requirements of industry. Read more
This award winning programme was designed in partnership with academics and employers to meet the specific requirements of industry. It equips graduates with essential knowledge and skills in the fields of operations, quality, and innovation management.

The programme aims to enhance graduates’ technical and management contribution in various enterprises including manufacturing, financial services, health services, government, and many more. It invites participants from many disciplines: it is suitable for Engineering, Science, Commerce, and Arts graduates who wish to pursue a career in a high-tech environment. This conversion course aspect is of significant interest to students who may wish to change direction from their course of undergraduate study and pursue a new career path that offers them sound employment prospects in a growth area.

The Masters of Applied Science (Enterprise Systems) programme is highly regarded by employers and there has always been a strong demand for our graduates. Graduates of this programme have secured roles in engineering, management and IT in companies such as Accenture, Apple, Boston Scientific, Medtronic, Ingersoll Rand, Pepsi Co. Kerry Group, IBM, Ericsson, Elan and Hewlett Packard.

Key features of the programme include:
• An ethos of innovation
• Engaging teaching methods
• Customised learning programme
• Multidisciplinary approach
• Extensive career opportunities.

Content

You can choose from the following courses. Technology Innovation & Entrepreneurship; Project Management; Applied Innovation; Operations Management; Operations Strategy; Logistics and Transportation; Operations Research; Lean Systems; Quality Systems; Human Reliability; Systems Reliability; Ergonomics; Safety and Risk Management; Regulatory Affairs; Decision Systems & Business Analytics; Information Systems Strategy & Planning.

You will also prepare an industrial based research thesis on a topic to be agreed with an academic supervisor. We will provide some company specific case studies (and industrial mentors) in Med Tech, High Tech and Services organisations.

What some of our employers say

Martin Conroy | Senior Director Medtronic

The Enterprise systems programme at NUI Galway focuses on providing the necessary knowledge to be excellent systems thinkers. Graduates have the ability to understand people; process as well as technology related issues in an organisation. The programme encourages candidates to analyse problems using scientific methods and to generate innovative and effective solutions to these problems. Furthermore graduates are given real skills such as the ability to work in a team and communicate well. Such skills are essential to fast moving high tech companies like ours.

Alan Phelan | CEO Nucleus VP Group

We have engaged and recruited graduates and found them to be great problem solvers and critical thinkers. Their background in lean systems has been very applicable to a number of our companies where they have helped to implement sound systems and processes which have allowed our subsidiaries to scale rapidly.

What some of our graduates say

Paul Gleeson | Accenture

The programme is well delivered as there is a nice balance between practical and classroom based learning. I found the lecturers to be some of the most helpful and engaging people I have come across during my studies as they take a hand on approach to getting students involved in class discussions and debates. All in all, the programme is an excellent foundation for finding future employment opportunities due to the high level of personal and professional development you will obtain. It helped open up numerous career opportunities for me so it is a programme that I would highly recommend.

Sean Hehir | Marvao Medical

With a broad subject choice the Masters of Applied Science at NUI Galway allowed me to tailor the course to focus on the areas of interest to me which also complemented my science degree. Through team-oriented projects I developed better inter-personal skills and grew exponentially both professionally and personally. With a flexible course structure and forward thinking/innovative faculty the degree encourages and inspires entrepreneurship and innovation. The course is very relevant to current industrial practices as I found I had a working knowledge of the medical device industry from day one in my current job.

Paul McCormack | Allergan

I undertook the Masters of Applied Science in NUI Galway with the aim of acquiring new skills and knowledge to aid in my future career progression. The course was challenging and required high standards throughout. While striving to meet these standards I believe I have greatly improved my knowledge of business systems and gained valuable new skills. I believe the lessons learnt during the course will facilitate my personal and professional development into the future.

Wenjing Tang | Ernst and Young

The Master of Applied Science (Enterprise systems) programme offers a variety of multidisciplinary modules, which was a great conversion for me from the pure technical background. The essential knowledge and skills I gained from the course help me to work in different roles, either as a software developer in a technology company or an IT consultant in a financial service company. The programme is a great foundation to pursue wider career path.

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In the future, agricultural and horticultural production will demand new intellectual and technological understanding and skills. Read more
In the future, agricultural and horticultural production will demand new intellectual and technological understanding and skills. The new technologies of sensors, computing, data analysis, remote sensing, robotics, drones and systems of data analysis and interpretation will allow new and sophisticated ways of managing both productive and natural environments.

The course will explore and study the high level of technical innovation currently being applied to agricultural and horticultural production, as will business management and the entrepreneurial skills that will be of fundamental importance to those entering this dynamic, technical based sector. Students will gain skills in data capture, processing, infographics, and the application of such technologies to all aspects of production and for the management of natural environments.

This course will be of relevance to those wishing to start a career in this emerging industry, join an established company, or looking to develop the skills needed to start their own enterprise.

Structure

The course may be studied full-time over 12 months. You will study six modules over the autumn and spring terms, followed by a Research Project, which is carried out over the summer to be submitted the following September. This may include a viva voce examination.

You will have the opportunity to engage with real-world problems, to find solutions to current issues and experience the working world of new technologies in animal and crop production, and the natural environment.

Modules are assessed primarily by coursework. Some modules have an examination as part of the assessment.

Modules

• 4230 Production Resource Management
• 4231 Research Project in Agricultural Technology and Innovation
• 4232 Business Development
• 4233 Computing and Information Technology in Precision Agriculture
• 4234 Livestock Production Technology
• 4235 Environmental Technology
• 4236 Crop Production Technology

Career prospects

Graduates are highly likely to go on to pursue a career within:

• The high-tech agricultural and environmental sectors
• Industries allied to crop and animal production
• Technical consultancy
• Government and international agencies
• The development of new companies through entrepreneurial initiatives

Potential job opportunities

• Agricultural and horticultural engineering
• Information technology
• Resource appraisal
• Agronomy
• Farm management

How to apply

For information on how to apply, please follow this link: https://www.rau.ac.uk/STUDY/POSTGRADUATE/HOW-APPLY

Funding

For information on funding, please view the following page: https://www.rau.ac.uk/study/postgraduate/fees-and-funding/funding

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This sandwich course will provide knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Read more
This sandwich course will provide knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Graduates will be Cyber-operators, able to use ‘information’ as a defensive or offensive weapon.

Today, Cyber-Operators are required to have an ‘enriched’ background drawing elements of practical experience from fields as diverse as sociology, psychology, networks and network security, computer science and computer security, information management and information security, software engineering and reverse engineering, and of course, the law.

We have a diverse number of placements with companies from the security industry, high tech crime units and government organisations.

In January 2014 Staffordshire University announced exciting plans to create one main city campus in Stoke-on-Trent. This course will be based at our Stoke-on-Trent Campus from Summer 2016.

Course content

Throughout the course you will be invited to attend guest lectures, the guest will also be delivering workshops and conducting seminars with the students. Our visiting tutors are national and international security experts.

You will also have an opportunity to achieve industry recognised certification in Certified Ethical hacking.

Our purpose-built state of the art security laboratory offers each student a unique experience in enhancing your skills and knowledge in Cyber Security. As a result of winning a recent £5 million STEM bid, you will benefit from state of the art hardware resources, which will enhance your learning.

You will gain:
-Sound understanding of the computer science.
-Sound understanding of TCP-IP networks, the TCP-IP suite and its supporting protocols.
-Sound understanding and practical knowledge of digital forensics incidence response.
-Understanding and practical knowledge of managing information at all levels.
-Practical knowledge of the different types of computer crime.
-Ability to use with competency cyber-security toolkits.
-Ability to follow strict policies and procedures with meticulous record keeping.
-Good understanding of people and their motivational catalysts.
-Knowledge of evidence law and legal procedures.
-Ability to write reports on technical issues in a non-technical manner.
-Ability to address large audiences in a formal manner and affect their decision making process.

Core Modules
-Computer Security – Low Level
-Cyber Operations
-Malware analysis and Reverse Engineering
-Research Methods
-Operating Systems Security
-Digital Forensics & Incidence Response

Option Modules*
-Network Security with CISCO
-Network Security
-Penetration Testing
-Computer Security – High Level

*If you have CCNA certification (or an equivalent CISCO background), there will be the option of doing Network Security with the CISCO curriculum. Those of you who are not CCNA certified (or without an equivalent CISCO background), will do a less practical module of similar learning outcomes. After Teaching Block 2 you will have an option, again based on your prior knowledge on ethical hacking (and/or background, qualifications), for doing either Computer Security – High Level, which focuses on ethical hacking, or a more technical module on Penetration Testing.

Graduate destinations

The award will provide you with the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Graduates will be Cyber-operators, equipped with the skills to work in the security industry.

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The program intends to build Data Scientists whose solid technical background is complemented by a multidisciplinary preparation on various fields in which big data emerge. Read more

The program intends to build Data Scientists whose solid technical background is complemented by a multidisciplinary preparation on various fields in which big data emerge. Highly required by Industries, Consulting Companies and Public Institutions, Data Scientists design and implement the analysis of big data, and provide managers and stakeholders with a clear account of their results. Graduates will be able to master tools coming from Engineering, Computer Sciences, Statistics and Mathematics for collecting, managing and analyzing big data, and to translate their work into highly valuable information.

Course structure

First year

I semester

  • Fundamentals of Information Systems (12CFU)
  • Stochastic Methods (6 CFU).
  • Statistical Learning (part I) (6 CFU).
  • Cognitive, Behavioral and Social Data (6 CFU).

II semester

  • Algorithmic Methods and Machine Learning (12CFU)
  • Optimization for Data Science (6 CFU)
  • Statistical Learning (part II) (6 CFU)
  • Elective course (6 CFU)

Second year

I semester

  • Business Economic and Financial Data (6 CFU)
  • Biological data (6 CFU)
  • Elective course (6 CFU)
  • Elective course (6 CFU)
  • Elective course (6 CFU)

II semester

  • Stage and final exam (30 CFU)

List of elective courses

All courses are credited with 6 CFU

  • Game Theory. I semester
  • Introduction to Omic Disciplines. I semester
  • Mathematical models and numerical methods for big data, I semester
  • Computational Marketing. I semester
  • Law and Data. I semester
  • Computer and Network Security, I semester
  • Process Mining. I semester
  • Bioinformatics, I semester
  • Methods and Models for Combinatorial Optimization, I semester
  • Biology and Physiology, I semester
  • Human Computer Interaction, I semester
  • Network Science, I semester
  • Knowledge and Data Mining. II semester
  • Human Data Analytics. II semester
  • Big Data Computing, II semester
  • Structural Bioinformatics, II semester
  • Cognitive services, II semester
  • Bioinformatics & Computational Biology, II semester

Career opportunities

Graduates will have job opportunities in Italy and abroad in

  • internet companies, consulting companies
  • startups and high tech industries
  • public administrations
  • research centers.

Scholarships and Fee Waivers

The University of Padova, the Veneto Region and other organisations offer various scholarship schemes to support students. Below is a list of the funding opportunities that are most often used by international students in Padova.

You can find more information below and on our website here: http://www.unipd.it/en/studying-padova/funding-and-fees/scholarships

You can find more information on fee waivers here: http://www.unipd.it/en/fee-waivers



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Health Care Technology (HCT) is a unique Master’s programme in Europe and Estonia is the first country to start teaching Health Care Technology in such an all-inclusive form. Read more

Health Care Technology (HCT) is a unique Master’s programme in Europe and Estonia is the first country to start teaching Health Care Technology in such an all-inclusive form. HCT focuses on combination of academic and practical skills and the lecturers are mostly from the industry, bringing the latest knowledge and experience to the students.

HCT Master’s program has two specialities: 1) Health care technology (HCT) and 2) Occupational Health Science and Ergonomics (OHSE).

HCT speciality is for people who are interested in healthcare management combined with information technology and innovation. Not just creating new eHealth applications, but making sure it is humanly, financially, economically viable.

Occupational Health and Ergonomics (OHSE) speciality is for people who are interested in health and safety management, ergonomics and designing innovative workplaces, promoting work life quality, productivity and employees’ wellbeing.

Key features

  • Programme teaches to understand how healthcare, IT, medicine, occupational health work together
  • Two specialisations: Health Care Technology major and Occupational Health Science and Ergonomics major
  • Lectures will take place mainly in Tallinn Tech Mektory building, the innovation centre with different labs and classes. Additionally, students have site visits to get the first-hand experience with different healthcare and medical organisations
  • Mandatory internship that can be done abroad 

Future career options

An HCT alumni works in healthcare organisation managements, in IT development companies that develop healthcare applications and systems, laboratory management, rehabilitation management and as academics in the university. A OHSE alumni works in variety of organisations, private and state, in management of health and safety, working life quality, ergonomics, occupational health services and as academics in the university.

Course outline

The idea to create Health Care Technology programme was born because of high demand on the market for Health Care Specialists. After discussions and brainstorming amongst The Institute of Clinical Medicine and industry partners, the Master's programme was created. For the HCT major to be more effective, the students will attend apprenticeship in the following medical or health care companies:

OHSE major students will attend apprenticeship in different manufacturing companies, state organisations and occupational health services.

The aim of Health Care Technology major is to prepare e-Health technology specialists who have acquired the know-how for working in different health care sector organisations and have the knowledge about the client and patient centred approach and manner of behaviour characteristics of the modern health care system.

Tallinn University of Technology is the first university to start teaching Health Care Technology in this all-inclusive form. Theory lectures are combined with practical studies in our medical and health care industry partner organisations, teaching students how to use their freshly learnt skills and how to put them to work.

Health Care Technology programme professors are from Estonia as well as from Europe and North America, covering Estonian and international experience in different levels and angles of health care. Estonia is well known for its technological inventions in e-Health and their successful implementation, making it a lucrative country to study and work in technological fields.

Faculty

School of Information Technologies (former Faculty of Information Technology) was founded in 1965. The faculty trains specialists in the main fields of information and communications technology (ICT) at bachelor, master and doctoral level. High-quality knowledge based teaching and training is based on international research and development activities, and tight cooperation with ICT industry. There are more than 2100 students annually learning in the faculty, which employs 150 faculty members, lecturers, researchers and engineers.

Curriculum

Structure of curriculum



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Data Science brings together computational and statistical skills and machine learning for data-driven problem solving. Read more

Data Science brings together computational and statistical skills and machine learning for data-driven problem solving. This rapidly expanding area includes deep learning, large-scale data analysis and has applications in e-commerce, search/information retrieval, natural language modelling, finance, bioinformatics and related areas in artificial intelligence.

About this degree

The programme comprises core machine learning methodology and an introduction to statistical science, combined with a set of more specialised and advanced options covering computing and statistical modelling. Projects are offered both within UCL Computer Science and from a range of industry partners.

Students undertake modules to the value of 180 credits.

The programme consists of three compulsory modules (45 credits), four optional modules (75 credits) and a dissertation/report (60 credits).

Core modules

  • Applied Machine Learning (15 credits)
  • Introduction to Machine Learning (15 credits)
  • Introduction to Statistical Data Science (15 credits)

Optional modules

Students must choose 30 credits from Group One options. For the remaining 45 credits, students may choose up to 30 credits from Group Two options or up to 45 credits from Electives.

Group One Options (30 credits)

  • Advanced Deep Learning and Reinforcement Learning (15 credits)
  • Birkbeck College: Cloud Computing (15 credits)
  • Information Retrieval and Data Mining (15 credits)
  • Introduction to Deep Learning (15 credits)
  • Machine Vision (15 credits)
  • Statistical Natural Language Processing (15 credits)
  • Web Economics (15 credits)

Group Two Options (up to 30 credits)

  • Applied Bayesian Methods (15 credits)
  • Decision and Risk (15 credits)
  • Forecasting (15 credits)
  • Statistical Design of Investigations (15 credits)

Electives (up to 45 credits)

  • Affective Computing and Human-Robot Interaction (15 credits)
  • Bioinformatics (15 credits)
  • Computational Modelling for Biomedical Imaging (15 credits)
  • Graphical Models (15 credits)
  • Stochastic Systems (15 credits)
  • Supervised Learning (15 credits)

Please note: the availability and delivery of modules may vary, based on your selected options.

A list of acceptable elective modules is available on the Departmental page.

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of 10,000-12,000 words.

Teaching and learning

The programme is delivered though a combination of lectures, seminars, class discussions and project supervision. Student performance is assessed through a combination of unseen written examination, coursework (much of which involves programming and/or data analysis), practical application, and the research project.

Further information on modules and degree structure is available on the department website: Data Science and Machine Learning MSc

Careers

Data science professionals are increasingly sought after as the integration of statistical and computational analytical tools becomes more essential to organisations. This is a very new degree and information on graduate destinations is not currently available. However, MSc graduates from across the department frequently find roles with major tech and finance companies including:

  • Google Deepmind
  • Microsoft Research
  • Dunnhumby
  • Index Ventures
  • Cisco
  • Deutsche Bank
  • IBM
  • Morgan Stanley

Employability

Students gain a thorough understanding of the fundamentals required from the best practitioners, and the programme's broad base enables data scientists to adapt to rapidly evolving goals.

Why study this degree at UCL?

UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).

UCL Computer Science staff have research interests ranging from foundational machine learning and large-scale data analysis to commercial aspect of business intelligence. Our extensive links to companies provide students with opportunities to carry out the research project with an industry partner.

The department also enjoys strong collaborative relationships across UCL; exposure to interdisciplinary research spanning UCL Computer Science and UCL Statistical Science will provide students with a broad perspective of the field. UCL is home to regular machine learning masterclasses and big data seminars.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Computer Science

96% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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The Psychological Research Methods (Cognition and Neuropsychology) course provides broad training in the fundamentals of psychological science - the modern approach to studying mind and behaviour. Read more

Introduction

The Psychological Research Methods (Cognition and Neuropsychology) course provides broad training in the fundamentals of psychological science - the modern approach to studying mind and behaviour. The course combines training in psychological theory with practical skills development, preparing our students for a future career in psychology. Individual modules provide a thorough introduction to quantitative and qualitative research, the analysis and interpretation of data, and a critical skeptical approach to psychological science.

Opportunities for practical hands-on skills development are built in, ranging from low-tech observational assessment to high-tech eye-tracking, and including training on giving oral presentations. A self-reflective approach to personal development is encouraged, and students on this course are an integral part of Stirling Psychology's research community, housed within a dedicated MSc office. The course will appeal to students wishing to develop a career in psychological research, either working towards a PhD in Psychology, or working in the wider public, private or third sector.

Key information

- Degree type: MSc, Postgraduate Diploma, Postgraduate Certificate
- Study methods: Full-time, Part-time
- Start date: September
- Course Director: Professor David Donaldson

Bursaries are available: http://www.stir.ac.uk/scholarships/.

Course objectives

The primary aim of the course is to provide advanced training as a preparation for a research career in Psychology. The course develops the theoretical understanding and practical and interpersonal skills required for carrying out research. Postgraduates are an integral part of our research community. Students are based in a dedicated MSc office, or within an appropriate research group, and allocated a peer mentor. Students have an academic supervisor in Psychology who supports and guides their development - including the research dissertation project. Our aim is to encourage students to make the complex transition to become a fully independent research scientist.

English language requirements

If English is not your first language you must have one of the following qualifications as evidence of your English language skills:
- IELTS: 6.0 with 5.5 minimum in each skill
- Cambridge Certificate of Proficiency in English (CPE): Grade C
- Cambridge Certificate of Advanced English (CAE): Grade C
- Pearson Test of English (Academic): 54 with 51 in each component
- IBT TOEFL: 80 with no subtest less than 17

For more information go to English language requirements https://www.stir.ac.uk/study-in-the-uk/entry-requirements/english/

If you don’t meet the required score you may be able to register for one of our pre-sessional English courses. To register you must hold a conditional offer for your course and have an IELTS score 0.5 or 1.0 below the required standard. View the range of pre-sessional courses http://www.intohigher.com/uk/en-gb/our-centres/into-university-of-stirling/studying/our-courses/course-list/pre-sessional-english.aspx .

Delivery and assessment

Teaching is delivered using a variety of methods including tutorials, demonstrations and practical classes, but the majority is seminar-based.

Students are typically taught in small groups in specialist classes, with first-year PhD students or other postgraduate students (for example, in modules from other MSc courses).

The individual module components provide 60 percent of the MSc grade, with the research dissertation contributing the remaining 40 percent.

Why Stirling?

- REF2014
In REF2014 Stirling was placed 6th in Scotland and 45th in the UK with almost three quarters of research activity rated either world-leading or internationally excellent.

Strengths

Psychology at Stirling is one of the leading psychology departments in the UK. It ranked in the top 20 in the recent research assessment (REF 2014) and is one of only seven non-Russell group universities to do so (Birkbeck, Royal Holloway, Sussex, Essex, St Andrews and Bangor; source Times Higher Education magazine). Its quality of research publications ranked third in Scotland after Aberdeen and Glasgow. Furthermore, the relevance of its research activity to society received the highest possible rating which only four other psychology departments in the UK achieved (REF 2014 results).

Psychology at Stirling University is small enough to fully involve MSc students in our lively and collegial community of research excellence.

Your three month full-time dissertation is supervised by leading UK academics.

Career opportunities

The Psychological Research Methods (Cognition and Neuropsychology) course is designed as a springboard for a career in psychological research and is ideal for students wishing to pursue a PhD in psychology. The course incorporates training in a wide range of skills that are required to conduct high-quality research in psychology, and students are encouraged to develop applications for PhD funding through the course.

One essential part of the course is the requirement to carry out a Placement (typically in an external company, charity or third sector organisation). This provides a fantastic opportunity to develop relevant work-based employment skills, and to develop a network of contacts relevant to future career goals. Students benefit hugely from the Placement experience, combining skills and experience with personal and professional development.

Psychological Research Methods (Cognition and Neuropsychology) graduates are well placed for careers in clinical and health psychology, educational psychology and teaching, human resources management and personnel, etc. The skills gained are also readily transferable to other careers: the course positions students for the growing expectation that graduates have a good understanding of human behaviour, are able to interpret and analyise complex forms of data, and to communicate ideas clearly to others.

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