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Masters Degrees (Computer Science And Management)

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Our MSc in Advanced Computer Science and IT Management is taught in collaboration with Manchester Business School. Read more

Our MSc in Advanced Computer Science and IT Management is taught in collaboration with Manchester Business School. As such, the programme benefits from the offerings of both schools. Manchester Business School is the largest campus-based business and management school in the UK offering world-leading business education informed by leading edge theory and practice. Similarly, the School of Computer Science is renowned as a world-class centre of excellence in computing teaching and research.  

This course is ideal for students who have the desire to drive technology into effective use in business. Information systems are pervasive in every aspect of industry, business and society and therefore there is growing demand for people who have a high level of technical knowledge and are prepared for a leadership role, utilising entrepreneurial and management skills in the solution of business problems. This course is centred around a Management theme, which encompasses relevant MBS course units, and combines it with a choice of complementary Computer Science themes such as Data Management, Software Engineering, and Advanced Web Technologies. The students take modules from 4 theme pools, two in IT Management and two in Computer Science. The course also provides a specialisation inInformation Management .

Coursework and assessment

Teaching and assessment take place through small group lectures, supervised laboratory work, mini-projects and independent learning. Course units are assessed by a mixture of written examinations, computer based practical work, and a range of coursework assessments including assessed mini-projects, group projects, reports and essays. The MSc requires a project dissertation to be submitted.

Course unit details

The collaborative nature of the course ensures that students benefit from the offerings of both the School of Computer Science and the Manchester Business Scool. Taught course units can be chosen from the broad range of Advanced Computer Science course units. In addition, there are course units especailly developed by the Manchester Business School covering topics on computing and IT support for strategic analysis and management, strategic change and effective decision making in corporate organisations.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

The MSc in Advanced Computer Science with IT Management has an excellent record of employment for its graduates. They are clearly in demand by the IT industry and related sectors. The following indicates the areas in which our graduates have found work: Associate Consultant Business/IT consultant, Computer Programmer, Business Analyst, Graduate Trainee, IT Consultant, IT Contractor, Internet Developer, Consultant-Programmer analyst, Senior Software Engineer, Software Developer, Support Engineer, Teacher, Technical Consultant.

We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.

Accrediting organisations

Dual accredited for CEng registration, for standard route IEng registration and Sydney Accord recognition.



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Are you fascinated by cutting-edge technology? Our one-year master’s programme aims to deepen your knowledge in an area of current interest within computer science, as well as to develop your scientific skills. Read more

Are you fascinated by cutting-edge technology? Our one-year master’s programme aims to deepen your knowledge in an area of current interest within computer science, as well as to develop your scientific skills.

Description of programme

The programme focuses on the realization of innovative IT services and systems. You will learn about the technologies and concepts essential for the development of modern information systems, which are typically complex and include cooperative components. Such technologies and concepts include software agents, service-oriented computing, middleware and ontologies. You will also learn how these technologies can be applied to business systems and other support activities that are critical to society.

Learning Outcomes

Knowledge and Understanding 

On completion of the course the student shall demonstrate: 

  • knowledge and understanding of Computer Science, including having an overview of the area, deepened knowledge in the area of connected systems, as well as, insight in current research and development
  • deepened knowledge of methodologies and research methodologies used in Computer Science
  • ablility to describe central concepts in the area of connected systems

Skills and Abilities 

On completion of the course the student shall demonstrate: 

  • ability to integrate knowledge and to analyse, evaluate and handle complex problems and situations also with limited information
  • ability to independently identify and formulate problems, as well as, plan and, by using suitable methods, carry out advanced tasks within given time frames
  • ability to orally and in writing clearly present and discuss her/his conclusions regarding matters in Computer Science, as well as the knowledge and the arguments which these are based upon in dialog with different groups
  • ability to apply the main concepts and technologies in the development of connected systems
  • skills that are required to participate in research and development work in Computer Science, or to work with other qualified tasks

Judgement and approach 

On completion of the course the student shall demonstrate: 

  • capability, within the area of Computer science, with special focus on connected systems, to make judgements taking into consideration relevant scientific, societal, and ethical aspects, as well as, showing consciousness of ethical aspects of research and development
  • understanding of the possibilities and limitation of science, its role in society, and the responsibility of its use
  • ability to identify her/his needs of additional knowledge and to take responsibility for her/his progress within the area

Your future career

MSc graduates in Computer Science will find many exciting opportunities await them, such as the development of complex distributed systems for e-business, e-government, e-health, e-learning, supply chain management, mobile computing and ubiquitous computing. Moreover, you will be qualified to work as a consultant and IT developer. The degree also prepares individuals for PhD studies, leading to careers in education or research.

Organisation

The program will give the student an opportunity to deepen her/his knowledge in an area of current interest within Computer Science, as well as knowledge and skills of methodologies for research and development projects within Computer Science. The core of the programme is the technologies and concepts essential for the development of connected systems including cooperative information systems.

Courses

For programme with start Autumn 2018: 

Autumn 2018 - Semester 1

Spring 2019 - Semester 2





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With a master’s degree in Web Science you will be able to study and solve problems on the web. Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, studies of the law, linguistics and mathematics. Read more

About the Program

With a master’s degree in Web Science you will be able to study and solve problems on the web. Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, studies of the law, linguistics and mathematics. All mandatory courses are taught in English.

In general, our programme aims at people with a bachelor’s degree or a minor in computer science. Our programme even is free of tuition. The medium of instruction is English.

More information under: http://west.uni-koblenz.de/en/mws

Employment Outlook

Graduates from the institute WeST have found interesting positions at successful companies, started their own businesses or continued towards a Ph.D. Institute WeST has a limited number of places available each year for pursueing a Ph.D. If you excel earning a master's degree in Web Science you will be in pole position for continuing with doctoral studies.

Studying in Koblenz

Koblenz is one of the oldest and most attractive cities in Germany with its surroundings honoured as UNESCO World Cultural Heritage. The university of Koblenz-Landau has close contacts to leading companies, offering possibilities for internships, collaboration and project experiences.

Program Structure

Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, law, linguistics and mathematics. All mandatory courses are taught in English.

The curriculum is organized in seven module groups:

Foundations of Web Science (two modules) establishes the main idea of Web Science. It provides an interdisciplinary primary view of the web and of more abstract web structures.

The Computer Science track (three modules) teaches the essential technical aspects, namely web engineering, semantic web and web retrieval.

Web and Society (two out of four modules) considers interaction of the web and different user groups: citizens, customers, entrepreneurs, and interest groups.

The module group Elective Courses in Computer Science provides a wide range of technical topics. Modules may be choosen freely from all Master courses in computer science with relevance to the web given at the University of Koblenz-Landau (three modules or more, mininum 18 ECTS).

Elective Interdisciplinary Courses contain web-related modules offered by our university from other disciplines (such as economy, social sciences, linguistics, anthropology, communication theory etc.). Students have to freely elect at least two modules (12 ECTS).

Topics for seminars and research lab can be freely chosen from Web Science subjects. Furthermore, this module group contains a social skills and leadership training..

The topic of the master's thesis can also be freely chosen from any Web Science subjects.

More information about the curriculum can also be found under: http://west.uni-koblenz.de/en/mws/curriculum

Requirements

Higher Education Entrance Qualification -

It is a legal requirement in Germany that students own a Higher education entrance qualification („Hochschulzugangsberechtigung“) respectively a Master entrance qualification („Masterzugangsberechtigung“), proven by school leaving certificates or studies completed at secondary education level.

Entrance qualification is not checked by us, but uni-assist (see application process), therefore please refrain from asking us if your diploma will be accepted. Uni-assist provides some further information on higher education entrance qualification.

Academic Background in Computer Science -

You need some academic background in computer science, such as a

bachelor's degree in computer science, business informatics, Computervisualistik (as offered by the University of Koblenz-Landau), Information management (as offered by the University of Koblenz-Landau until 2012 if 60 ECTS in computer science were acquired) or similar.

Students with a minor in computer science (at least 60 European Credit Points) can apply, too. Here we have to make a decision on a by-case-basis. To get an educated guess please contact the course guidance.

Only diplomas of international accredited universities will be accepted. If you are unshure if your academic background fulfils our requirements, do not hesitate to contact us: . Non-academic, practical experience in computer science alone does not qualify you for our programme.

Sufficient Grades in Previous Studies -

The German grading system ranges from 1 ("very good") to 6 ("insufficient"). Lower numbers mean better grades. To be eligible for our programme, the grades from your previous studies must be between 1 and 2.5. Grade conversion into the German system is done by uni-assist (cf. application procedure), so we cannot tell you if your GPA fis sufficient. For a first, non-binding estimation on your eligibility you might want to check the calculator provided by the University of Paderborn.

English Language Proficiency -

The medium of instruction for all required courses is English, some additional electives can be taken in German. Thus, we require a certain level of English proficiency such that studies can be undertaken successfully. Thus, a standardised language certificate is required – proof that your previous studies were held in English are not sufficient and not negiotiable. We accept three types of language proficiency certificates:

a TOEFL result of at least 79 (internet based), 550 (paper based) or 213 (computer based)

IELTS test with 6.5 points mininum

Cambridge certificate at level B2 or higher (find an exam center)

Proficiency of German language is not a requirement for application. However, additional elective courses are available in German, and we recommend to learn some basic German for daily life. Some hints on learning German can be found at Deutsche Welle.

Motivational Letter -

Applicants need to supply a motivational letter. Please do not send lenghty standard letters describing your general interest in computer science and your appreciation of the German education system. Instead, refer only to our specific programme and follow these guidelines:

Length should be between 150 and 300 words.

The letter must be written in English.

Specify what you learnt and found particularly interesting in your previous studies or practical experiences. Tell us how you want to deepen these previous experience in our master's programme. You can also describe what you expect to learn here for your future job. You should always refer to our curriculum, especially the module groups Foundations of Web Science, Major Subject Computer Science und Major Subject Web and Society. Make clear that you know our curriculum and point out why you have chosen our programme above others.

Further information under: http://west.uni-koblenz.de/en/mws/requirements

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Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains. Read more
Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains.

We offer a two-year Master of Science in Computer Science centered on this emerging field. The backbone of the program is constituted by three core units on advanced data management, machine learning, and high performance computing. Leveraging on the expertise of our faculty, the rest of the program is organised in four tracks, Business Intelligence, Health & Life Sciences, Pervasive Computing, and Visual Computing, each providing a solid grounding in data science and engineering as well as a firm grasp of the domain of interest.

By blending standard classes with recitations and lab sessions our program ensures that each student masters the theoretical foundations and acquires hands-on experience in each subject. In most units credit is obtained by working on a final project. Additional credit is also gained through short-term internship in the industry or in a research lab. The master thesis is worth 25% of the total credit.

TRACKS

• Business Intelligence. This track builds on first hand knowledge of business management and fundamentals of data warehousing, and focuses on data mining, graph analytics, information visualisation, and issues related to data protection and privacy.
• Health & Life Sciences. Starting from core knowledge of signal and image processing, bioinformatics and computational biology, this track covers methods for biomedical image reconstruction, computational neuroengineering, well-being technologies and data protection and privacy.
• Pervasive Computing. Security and ubiquitous computing set the scene for this track which deals with data semantics, large scale software engineering, graph analytics and data protection and privacy.
• Visual Computing. This track lays the basics of signal & image processing and of computer graphics & augmented reality, and covers human computer interaction, computational vision, data visualisation, and computer games.

PROSPECTIVE CAREER

Senior expert in Data Science and Engineering. You will be at the forefront of the high-tech job market since all big companies are investing on data driven approaches for decision making and planning. The Business Intelligence area is highly regarded by consulting companies and large enterprises, while the Health and Life Sciences track is mainly oriented toward biomedical industry and research institutes. Both the Pervasive and the Visual Computing tracks are close to the interests of software companies. For all tracks a job in a start-up company or a career on your own are always in order.

Senior computer scientist.. By personalizing your plan of study you can keep open all the highly qualified job options in software companies.

Further graduate studies.. In all cases, you will be fully qualified to pursue your graduate studies toward a PhD in Computer Science.

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The degree is taught by the School of Computer Science and by English Language Teaching. In the first semester, which starts in January, all students take a Programming module in addition to two English language modules. . Read more

The degree is taught by the School of Computer Science and by English Language Teaching. In the first semester, which starts in January, all students take a Programming module in addition to two English language modules. 

Course options

For students with a degree in Computer Science or a related discipline, such as Information Systems or Engineering:

  • Advanced Computer Science
  • Artificial Intelligence
  • Computer Communication Systems
  • Software Engineering

For students who do not necessarily have a Computer Science background but are able to demonstrate proficiency in programming:

  • Human Computer Interaction

For students who do not necessarily have any prior knowledge of Computer Science, IT, programming, or management:

  • Computing and Information Technology
  • Information Technology
  • Management and Information Technology

Highlights

  • This programme offers an innovative way to start your degree with a structure that allows you to continue developing your knowledge of English.
  • You will study both Computer Science and English Language modules – for credit – right from the start. 
  • The University’s School of Computer Science is ranked second in the UK by the Guardian University Guide 2018.
  • One visa covers the full length of the programme.
  • After the first taught semester, you will continue onto a suitable Masters degree in Computer Science based on your performance on the initial Programming module. This also provides you with a high level of flexibility of study.   

Teaching format

The taught portion of the MSc programme includes eleven modules: three related to English Language and eight specific to Computer Science. Teaching methods include lectures, seminars, tutorials and practical classes. Most modules are assessed through practical coursework exercises and examinations. Class sizes typically range from 10 to 50 students.

All students are assigned an adviser who meets with them at the start of the year to discuss module choices and who is available to assist with any academic difficulties during the year. A designated member of staff provides close supervision for the MSc project and dissertation.

Further particulars regarding curriculum development.

Modules

The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2016–2017 academic year; some elements may be subject to change for 2017 entry.



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About the program. The Bond University Master of Sports Science is designed to develop specialist knowledge and skills relating to strength and conditioning and high performance science of elite athletes. Read more

About the program

The Bond University Master of Sports Science is designed to develop specialist knowledge and skills relating to strength and conditioning and high performance science of elite athletes.

The program is suitable for graduates in exercise and sports science aspiring for a career in high performance sport, or for established professionals such as domestic and international strength and conditioning coaches, or high performance managers seeking professional updates.

This unique program places a strong emphasis on comprehensive practical experience and industry immersion, including a two semester full-time professional internship under the mentorship of a sports scientist.

Completed in only 1 year and 4 months (4 semesters), the first two semesters are comprised of specialist on-campus coursework, followed by the internship which incorporates applied sports science /strength and conditioning practice and a research component. This component is undertaken within a professional or semi-professional sporting organisation with whom Bond University has agreements for student internships. Alternatively, students may elect to undertake their internship with an external organisation or employer relative to their field of work, with prior approval from Bond University.  

The program will culminate with the submission of a peer-reviewed manuscript that may be eligible for publication, providing an additional pathway for you to progress to further postgraduate research.

The program provides you with exposure to authentic high performance sports science learning both on campus and in industry. The coursework component is delivered primarily at the world-class Bond Institute of Health & Sport, where you will gain exceptional, high-quality practical experience in our high performance gym, health science laboratories and sports science research laboratories. You will have access to specialised technology used in research to deliver a wide range of athlete testing and performance analysis. These facilities provide sports science testing and training services to a variety of elite and sub-elite athletes, providing an exceptional learning experience. 

Professional outcomes

The Master of Sports Science will enable you to apply knowledge and practical experience in high performance sports science across all levels of national and international sport.

Possible career opportunities include, but are not limited to:

  • Sports Scientist/ Strength and Conditioning Specialist positions in professional sport, working with teams or individual athletes
  • Sports Scientist/ Strength and Conditioning Specialist positions in national and international sporting organisations
  • Development officer for professional sporting and health orientated organisations
  • Corporate and community health and fitness consultant
  • Health promotion/ lifestyle consultant
  • Athletic/ sports program coordinator

Successful graduates may be eligible to progress to further post graduate research, leading to potential career options in research organisations and academia.

Structure and subjects

The Master of Sports Science consists of a specialised coursework and integrated research and internship model.

You must complete all of the following subjects:

Semester 1

Semester 2

Semester 3

Semester 4

*Subject names and structure may change 

Teaching methodology

The Master of Sports Science program uses a teaching methodology that involves a combination of lectures, tutorials, seminars, examinations, projects, presentations, assignments, computer labs and industry projects. Examination formats may include objective structure practical examinations, theory papers, assignments and oral presentations. The program will culminate with the submission of a peer-reviewed manuscript that may be eligible for publication. 

During coursework, you will be primarily located at the Bond Institute of Health and Sport, within the Cbus Stadium sporting precinct at Robina.

Internship and research

A unique feature of this program is the completion of an integrated professional placement and internship, under the mentorship of a sports scientist. This internship is completed full-time for 2 semesters, at a minimum of 500 hours with an elite sport organisation.

Bond University has affiliations with national and international elite sporting organisations and professional sports teams.

* Students intending to apply should be aware of the following: You may be required to attend internships with organisations in locations other than the Gold Coast region.These placements may involve additional associated costs (i.e. accommodation and travel) for which you will be responsible.

Research

Bond University has a burgeoning profile in health and sports science research. Major investment in infrastructure including the ‘Bond Institute of Health and Sport’ have fostered collaborations between ‘bench top’ scientists and practitioners, providing opportunities for innovative research.

Bond University is the lead institution for the Collaborative Research Network (CRN) for Advancing Exercise and Sports Science CRNAESS). The CRN-AESS brings together partners from key research and sports science institutions including the Australian Institute of Sport building research capacity and excellence in exercise and sports science, human genetics and bioinformatics, to better understand health, human performance and injury management.



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One of a range of degrees from the taught Masters Programme at the School of Computer Science our course is especially designed for graduates of numerate subjects other than computer science. Read more
One of a range of degrees from the taught Masters Programme at the School of Computer Science our course is especially designed for graduates of numerate subjects other than computer science. It is mostly taught separately from the other courses. It intensively covers a broad range of the key principles and techniques of computer science.

About the course

There is an emphasis on software development, in particular when applied to solving problems in other disciplines. Depending on the modules chosen, it can lead to a career in areas such as systems development, IT management, or the deployment of advanced applications in specific disciplines.

Why choose this course?

-This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies
-A flexible course, part of our postgraduate master's programme in Computer Science, with two different routes
-Our course is especially designed for graduates of numerate subjects other than computer science
-Taught by a highly-regarded and long-established computer science department with strong links to business
-Half the research outputs in Computer Science at the University of Hertfordshire have been rated as world-leading or internationally excellent in the Research Excellence Framework (REF) 2014

Careers

Our masters programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research. This particular course will prepare you for a career such as a software engineer, developer or project manager.

Teaching methods

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

Work Placement

This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies.

This offers you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.

We will provide excellent academic and personal support during both your academic and placement periods together with comprehensive careers guidance from our very experienced dedicated Careers and Placements Service.

Although the responsibility for finding a placement is with you, our Careers and Placements Service maintains a wide variety of employers who offer placement opportunities and organise special training sessions to help you secure a placement, from job application to the interview. Optional one-to-one consultations are also available.

In order to qualify for the placement period you must maintain an overall average pass mark of not less than 60% across all modules studied in semester ‘A’.

Structure

Year 1
Core Modules
-Computer Architectures
-Computer Science Masters Project
-Operating Systems and Networks
-Preparation for Placement
-Professional Issues
-Professional Work Placement for MSc Computer Science
-Programming and Program Design
-Software Development Exercise
-Systems Modelling

Year 2
Core Modules
-Computer Science Masters Project

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For Details see below. The deadline for Applicants who graduated outside of Europe allready expired. This international oriented 2-year master’s degree programme is based on the following pillars. Read more

Application for EU graduates until 30 September 2016

For Details see below. The deadline for Applicants who graduated outside of Europe allready expired.

About the Program

This international oriented 2-year master’s degree programme is based on the following pillars:
▪ The study of a range of topics within the field of human-computer interaction: usability, user-centred design and user interface testing and research, and innovative interface technologies such as virtual reality, mobile systems, adaptive systems, mixed reality, ubiquitous computing and graphic interfaces.
▪ Acquisition of key skills and competences through a project-based study approach.

In the English-language Human-Computer Interaction M.Sc. programme, students focus on theoretical and practical issues in current computer science research in the fields of user-centered design, interactive system development and evaluation. In addition, this technically-oriented HCI master offers the opportunity to participate in interdisciplinary projects and attend courses from Architecture and Urbanism, Art and Design, Media Studies and Media Management.

In general, our programme aims at people with a bachelor’s degree or minor in computer science. The medium of instruction for all mandatory courses is English. The program has received accreditation by Acquin until 30.09.2020 in April 2015.

More Information under https://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/human-computer-interaction-msc/

Program Structure

The programme comprises 120 ECTS, distributed into the following components:
▪ Four compulsory modules (Advanced HCI, Information Processing and Presentation, Virtual/Augmented Reality and Mobile HCI), each comprising 9 ECTS.
▪ Elective module (24 ECTS in total).
▪ Two research projects (15 ECTS each).
▪ The Master’s thesis module (30 ECTS).

In accordance with the Weimar Bauhaus model, research-oriented projects contribute towards a large proportion of the master’s programme. The elective modules allows students to incorporate courses from other degree programmes such as Media Studies, Media Management, Architecture and Urbanism, and Art and Design alongside the general Computer Science and Media course catalogue. Graded language courses up to 6 ECTS may also be included, or an additional HCI related project. The fourth and final semester is dedicated to the master’s thesis.

Further information on the curriculum : https://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/curriculum-master-hci/

Career Perspectives

The HCI Master was developed based upon our experiences with the long-standing Computer Science & Media Master program. CS&M graduates have all readily found employment in industry and academia, in R&D departments at large companies (e.g. Volkswagen, BMW), research institutes (e.g. Fraunhofer), as well as at universities, with many continuing into a PhD.

Usability is becoming more and more important for computer systems as computers are embedded in many aspects of everyday life. The ability to design complex systems and interfaces with regard to usability and appropriateness for the usage context increases in importance. HCI graduates can work both in software development, in particular in conception and development of novel interface technologies, and in the area of usability and user research, which both grow in demand on the job market. Our unique project-based study approach provides graduates with a skill set that qualifies them both for research and industry careers.

Studying in Weimar

The Bauhaus, the most influential design school in the 20th century, was founded in 1919 in our main building. A tie to this history was established in the renaming as Bauhaus-Universität Weimar in 1996. We are an international university in the unique, cultural city of Weimar. We are a vibrant institution, not a museum. Experimentation and excellence prevail throughout the 4 faculties where transdisciplinary projects and co-operations in research and education are conducted.

Weimar is a medium-sized city with UNESCO World Cultural Heritage sites. It is known for its connection to literature, the arts and music and also has a music university. The affordable living costs in this area of Germany and the rich cultural program of Weimar make it a very attractive location for students.

Application Process

Applicants who graduated outside of Europe apply online at: http://www.uni-assist.de.
Applicants who graduated in Europe and do not require a visa apply online at: Online-Application.

For details see http://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/application-master-hci/

Many typical questions about the program, application process and requirements are answered in our FAQ http://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/faq-application-hci/

Requirements

Higher Education Entrance Qualification:

Students need a school leaving certificate for studies completed at secondary education level. The formal entrance qualifications for international students are checked by uni-assist (see application process).

Academic Background in Computer Science (CS):

You need some academic background in CS, such as a bachelor's degree in CS, business informatics, HCI or related areas with a focus on CS and HCI. Students with a minor in computer science (at least 60 European Credit Points) may apply, here, decisions are on a case-by-case-base.

Only diplomas of international accredited universities will be accepted. Non-academic, practical experience in computer science alone does not suffice to qualify you.

Sufficient Marks from previous studies:

If the converted credit-weighted average grade of your Bachelor's degree is between 1.0 and 2.0 in the German system, your chances of acceptance are very good. Uni-assist does the conversion into the German system.

Language Requirements:

See http://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/application-master-hci/

The medium of instruction is English, some electives can be taken in German. B2 level (CEFR) of English proficiency is needed. We require a standardised language certificate (unless your bachelor degree was done in a native-English speaking country). We accept three types of language proficiency certificates:

TOEFL (80 internet-based, 550 paper-based at minimum)
IELTS (6.0 minimum)
ESOL Cambridge First Certificate in English

To be admitted, international students have to provide proof of German proficiency at level A1 (CEFR). This is required for registration to the program. You can apply before having the A1 certificate, but might need to show you are registered for the exam for your visum.


Motivational Letter and CV:

We highly recommend a detailed CV and motivation letter. Please do not send lengthy standard letters. Make clear you know our curriculum and point out why you chose our programme, and describe your specific interest in HCI i and why you want to specialize in this area.

Further information

Please check our FAQ
http://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/faq-application-hci/


link to Video by an international Master student (from the sibling program) talking about her experiences: https://vimeo.com/77485926

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CONNECTING THE WORLD OF SCIENCE AND BUSINESS. Companies and institutions need professionals with the skills to manage and market knowledge-intensive products, as well as professionals with a solid understanding of the scientific principles underlying products and processes. Read more

CONNECTING THE WORLD OF SCIENCE AND BUSINESS

Companies and institutions need professionals with the skills to manage and market knowledge-intensive products, as well as professionals with a solid understanding of the scientific principles underlying products and processes.

Our Master's programme Science and Business Management (SBM) offers you a unique training that will enable you to translate interesting ideas into innovative products.

Our degree programme enables graduates of bachelor’s programmes in the life- or natural sciences to combine their passions for science and business. The programme will equip you with the knowledge and tools to identify, manage, and overcome problems that arise in each phase of the innovation process.

Students chose the Master's programme Science and Business Management at Utrecht University as the best programme in the field in the yearly review 'Beste studies' by Elsevier.

PROGRAMME OBJECTIVE

SBM is aimed at students with a Bachelor’s degree in Life Sciences or Natural Sciences, who are interested in a business career. The first year comprises a science-focused programme, in which you will receive training in a research environment within your area of expertise. A solid understanding of science is essential to bring science-based products to the market. In the SBM programme, you will build on your academic background in science while adding knowledge of business processes and practical skills for commercial settings.

From scientific research to a business internship 

Importantly, you will also focus on the strategic value and applicability of scientific research. In the second year you will obtain business management skills and learn about operations management, organization and strategic management, marketing, economics, entrepreneurship and effective communication in a business environment. You will apply your skills at the final stage of the master, during an internship at a national or international company of your choice. The internship must be sufficiently challenging and is subject to approval by the coordinator.

Interactive community

Particularly important in the programme is the level of interaction between students and lecturers. Students will regularly meet to present and share their projects and will work closely together. A strong sense of community is initiated by the programme, and also by the SBM study Association Business For Life’. These enthusiastic students organize workshops, talks but also social events



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The Computer Science MSc provides a balance between computer science theory and practical software engineering skills, including teamwork for industrial or research clients. Read more

The Computer Science MSc provides a balance between computer science theory and practical software engineering skills, including teamwork for industrial or research clients. Graduates find employment in the IT industry, or complement their first degree subject with computer science knowledge, leading to interdisciplinary industrial positions and PhD research.

About this degree

You will learn fundamental aspects of how computers work by taking modules in computer architecture, operating systems, compilers, data structures and algorithms. You will also gain practical knowledge in areas such as human-computer interaction, App design, databases and software engineering. You will develop programming skills in modern languages, such as object-oriented Java for Android development. 

Team working, project planning and communication skills are developed by working in small groups developing software for real industrial and research clients. Optional modules allow specialisation in subjects such as functional programming, computer music, entrepreneurship and artificial intelligence.

Students undertake modules to the value of 180 credits.

The programme consists of five core modules (75 credits), three optional modules (45 credits) and a research project (60 credits).

Core modules

  • Algorithmics (15 credits)
  • Architecture and Hardware (15 credits)
  • Design (15 credits)
  • Programming (15 credits)
  • Systems Infrastructure (15 credits)

Optional modules

Students must choose a minimum of 15 and a maximum of 45 credits from Group One options. For the remaining credits, students can choose up to 30 credits from Group Two options and up to 15 credits from Electives.

Group One Options (15 to 45 credits)

  • Database Systems (15 credits)
  • Entrepreneurship: Theory and Practice (15 credits)
  • Functional Programming (15 credits)
  • Interaction Design (15 credits)
  • Software Engineering (15 credits)

Group Two Options (up to 30 credits)

  • Affective Interaction (15 credits)
  • Artificial Intelligence and Neural Computing (15 credits)
  • Project Management (15 credits)

Please note: the availability and delivery of optional modules may vary, depending on your selection.

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

Dissertation/report

All students undertake an independent computer-based science project which culminates in a dissertation in the form of a project report.

Teaching and learning

The programme is delivered through a combination of lectures and tutorials. Lectures are often supported by laboratory work with help from demonstrators. Student performance is assessed by unseen written examinations, coursework and a substantial individual project.

Further information on modules and degree structure is available on the department website: Computer Science MSc

Careers

Graduates from UCL are keenly sought after by the world's leading organisations, and many progress in their careers to secure senior and influential positions. UCL Computer Science graduates are particularly valued as a result of the department's strong international reputation, strong links with industry, and ideal location close to the City of London. Our graduates secure careers in a wide variety of organisations; for example with global IT consultancies, as IT analysts with City banks, or as IT specialists within manufacturing industries.

Recent career destinations for this degree

  • Analyst and IT Consultant, KPMG
  • Associate Quantity Developer, Moody's
  • Clinical Systems Manager, Whittington Hospital (NHS)
  • Cyber Security Analyst / Developer, BAE Systems
  • PhD in System Engineering, City University of Hong Kong

Employability

This degree opens up many different career paths. Recent graduates have been employed by some of the world's leading IT companies such as Accenture, Barclays Capital and Credit Suisse. The entrepreneurial spirit is ignited in other students and they may either start their own companies or join dynamic start-ups. Other graduates have gone on to PhD study to conduct cutting-edge research in areas that interest them.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

UCL Computer Science is recognised as a world leader in teaching and research.

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).

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.

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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Develop your own individual management approach on our Chartered Institute of Building (CIOB) accredited course. Work alongside professionals and industry experts to practically gain the key management skills and knowledge you need for a variety of management roles in the construction or property sectors. Read more
Develop your own individual management approach on our Chartered Institute of Building (CIOB) accredited course. Work alongside professionals and industry experts to practically gain the key management skills and knowledge you need for a variety of management roles in the construction or property sectors.

If you have a degree in the built environment or already work in the construction industry our course will help you take your construction project management career further still.

You’ll get the skills and knowledge you need for a variety of roles in construction and the wider property world. You’ll develop your style as a manager and explore technological, economic, environmental, ethical, legal, political and sociological factors and their effect on project management.

By the time you graduate you’ll confidently understand management and organisations and have the right techniques to solve complex problems and make important management decisions.

Our course is accredited by the Chartered Institute of Building and the Royal Institution of Chartered Surveyors.

Full-time - January start, 15 months. September start, 12 months.
Part-time - January start, 30 months. September start, 27 months.

See the website http://www.anglia.ac.uk/study/postgraduate/construction-project-management

The course will:
• provide you with a broad, analytical and integrated understanding of management and organisations
• enable you to think critically and independently about project management issues and to deal effectively with uncertainty
• enable you to solve complex problems and to make decisions using appropriate techniques;
• convey the technological, economic, environmental, ethical, legal, political and sociological factors involved in the built environment, their interrelationships and effect on projects and the management of projects
• emphasise the significance of the built environment to the economy and society as a whole
• develop your understanding of ethics and the requirements of professional practice in order to develop a clear sense of professional responsibility
• encourage the development of expertise in your profession.

It is built upon a strong management theme, supplemented with specialist knowledge, to enable the effective management of construction projects. It emphasises an applicational approach to project management. It will also develop the employee's general management ability and insight, enhancing their performance in a wide range of other management functions.

On successful completion of this course you will be able to:
• use the language, knowledge, theories, principles and practical skills demanded by the discipline of project management
• solve organisational, technical, economic and legal problems in the context of project management
• use appropriate information technology to solve problems
• demonstrate knowledge of a specialised area relating to project management and the built environment
• utilise legal, economic and managerial knowledge to advise clients and resolve complex problems;
• work as part of a team and contribute to defined goals and group dynamics
• demonstrate independent and self-managed personal skills
• communicate efficiently in spoken, written and graphical forms and be able to present complex issues to clients
• demonstrate a professional awareness relating to client needs, value for money, health and safety and environmental issues.

Careers

Our course will prepare you for a wide range of management and project roles in the construction and property industries. You’re also in the perfect position to continue your academic career and move up to our Built Environment PhD.

Core Modules

Management Theory
Management Practice
Project Management Systems
Production Management
Procurement and Supply Chain Management
Risk and Value Management
Economic, Legal and Political Framework
Research Design and Methods
Major Project/Dissertation

Assessment

You’ll be assessed through a variety of methods that address both theory and practice and include assignments, case studies, exams, group work and presentations.

Specialist facilities

You’ll have access to our specialist management software for project planning and business organisation and finance. Within our well-equipped laboratories you’ll explore geotechnics, hydraulics, structures, engineering materials, and concrete testing. With access to our libraries, open access computer areas and Virtual Learning Environment (VLE).

Your faculty

The Faculty of Science & Technology is one of the largest of five faculties at Anglia Ruskin University. Whether you choose to study with us full- or part-time, on campus or at a distance, there’s an option whatever your level – from a foundation degree, to a BSc, MSc, PhD or professional doctorate.

Whichever course you pick, you’ll gain the theory and practical skills needed to progress with confidence. Join us and you could find yourself learning in the very latest laboratories or on field trips or work placements with well-known and respected companies. You may even have the opportunity to study abroad.

Everything we do in the faculty has a singular purpose: to provide a world-class environment to create, share and advance knowledge in science and technology fields. This is key to all of our futures.

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This course allows you to study two or more areas of computing that relate to your interests along with key core areas of computer science. Read more
This course allows you to study two or more areas of computing that relate to your interests along with key core areas of computer science. Depending on the modules chosen, it can lead to a career in areas such as software development, systems design, user interface design, or database design and administration.

About the course

The MSc Advanced Computer Science course consists of two major parts: taught modules and an MSc project. Each taught module has an assigned number of credits (either 15 or 30). Some modules are compulsory and some are optional. The project is compulsory and has a modular value of 60. In order to obtain an MSc degree you must study and pass 120 credits of taught modules plus the project i.e. 180 credits in total.

Why choose this course?

-This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies
-This MSc is one of a range of advanced courses within our postgraduate masters programme in Computer Science
-You will develop knowledge and skills in the models, methodologies, measures and tools that can be employed in your future career
-You will be taught by a highly-regarded and long-established computer science department with strong links to business
-Half the research outputs in Computer Science at the University of Hertfordshire have been rated at world-leading or internationally excellent in the Research Excellence Framework (REF 2014)

Careers

Our masters programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research. This particular course will prepare you for a career such as a software engineer, developer or project manager.

Teaching methods

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

Work Placement

This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies.

This offers you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.

We will provide excellent academic and personal support during both your academic and placement periods together with comprehensive careers guidance from our very experienced dedicated Careers and Placements Service.

Although the responsibility for finding a placement is with you, our Careers and Placements Service maintains a wide variety of employers who offer placement opportunities and organise special training sessions to help you secure a placement, from job application to the interview. Optional one-to-one consultations are also available.

In order to qualify for the placement period you must maintain an overall average pass mark of not less than 60% across all modules studied in semester ‘A’.

Structure

Year 1
Core Modules
-Programming Paradigms
-Preparation for Placement
-Professional Work Placement for MSc Computer Science

Optional
-Professional Issues
-Investigative Methods for Computer Science
-Data Mining
-Mobile Standards, Interfaces and Applications
-Human Computer Interaction: Principles and Practice
-Advanced Databases
-Measures and Models for Software Engineering
-Programming for Software Engineers
-Software Engineering Practice and Experience
-Distributed Systems Security
-Secure Systems Programming
-Network System Administration
-Multicast and Multimedia Networking
-Wireless, Mobile and Ad-hoc Networking
-Artificial Life with Robotics
-Neural Networks and Machine Learning
-Theory and Practice of Artificial Intelligence
-Information Security, Management and Compliance
-Digital Forensics
-Penetration Testing

Year 2
Core Modules
-Advanced Computer Science Masters Project

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This post-graduate programme aims at forming engineers endowed with a rich cultural basis and able to develop and exploit the methods and tools of computer science with engineering attitude, to tackle a wide spectrum of applications. Read more

Mission and Goals

This post-graduate programme aims at forming engineers endowed with a rich cultural basis and able to develop and exploit the methods and tools of computer science with engineering attitude, to tackle a wide spectrum of applications. The Degree programme develops the ability to design and implement hardware and software systems, which find application in the area of industry and services, either private or public. Graduates are also able to plan and manage complex projects thanks to a deep knowledge of engineering methodologies and technologies.
A Computing Systems Engineer, however, is not only a designer of applications and systems, but is potentially able to develop new technologies or to find innovative applications.

The programme is taught in English

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/computer-science-and-engineering/computer-science-and-engineering-track-milano/

Career Opportunities

The main professional areas targeted by our graduates are innovation and development of production, advanced design, and management of complex systems, either as independent professionals or as members of manufacturing or service enterprises, or in the public administration.
Graduates will find their jobs in the areas of hardware or software production, digital media providers, automation and robotics, information systems and computer networks, services and public administration.

Presentation

See http://www.polinternational.polimi.it/uploads/media/Computer_science_and_engineering_MI_01.pdf
The programme provides the student with a comprehensive background on state-of-the art technologies, with a strong connection with leading edge research. Through an interdisciplinary approach, it forms engineers endowed with a rich cultural basis and able to develop and exploit the methods and tools of computer science with an engineering attitude, to tackle a wide spectrum of applications. The MSc develops the student’s ability to design and implement hardware and software systems, which find application in the area of industry and services. Graduates are highly skilled professionals who can plan and manage complex projects thanks to a deep knowledge of engineering methodologies and technologies.
The programme is taught in English.

Subjects

Key subjects available:
- Advanced Databases, Big Data Analysis and Information Systems
- Advanced Software Engineering
- Artificial Intelligence, Machine Learning and Soft Computing
- Computer Ethics
- Design of Safety-critical, Concurrent and Real-time Systems
- Distributed Systems and Middleware Technologies
- High Performance Computer Architectures and Embedded System Design
- Pervasive Computing
- Robotics and Image Analysis
- Web, and Multimedia Technologies, Videogames Design

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/computer-science-and-engineering/computer-science-and-engineering-track-milano/

For contact information see here http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/computer-science-and-engineering/computer-science-and-engineering-track-milano/

Find out how to apply here http://www.polinternational.polimi.it/how-to-apply/

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The computer science program is designed for students who have an undergraduate degree (or minor) in computer science, as well as those who have a strong background in a field in which computers are applied, such as engineering, science, or business. Read more

Program overview

The computer science program is designed for students who have an undergraduate degree (or minor) in computer science, as well as those who have a strong background in a field in which computers are applied, such as engineering, science, or business.

The degree is offered on a full- or part-time basis. Courses are generally offered in the afternoons and evenings to accommodate part-time students. Full-time students take three or four courses per semester and may be able to complete the course work in three semesters. Full-time students who are required to take additional bridge courses may be able to complete the course work in four semesters. Part-time students take one or two courses per semester and may be able to complete the course work in four to five semesters. The time required to complete a master's project is one semester, but can vary according to the student and the scope of the topic. Two semesters is typical.

Plan of study

The program consists of 30 credit hours of course work, which includes either a thesis or a project. Students complete one core course, three courses in a cluster, four electives, and a thesis. For those choosing to complete a project in place of a thesis, students complete one additional elective.

Clusters

Students select three cluster courses from the following areas (see website for individual area information):
-Computer graphics and visualization
-Data management
-Distributed systems
-Intelligent systems
-Languages and tools
-Security
-Theory

Electives

Electives provide breadth of experience in computer science and applications areas. Students who wish to include courses from departments outside of computer science need prior approval from the graduate program director. Refer to the course descriptions in the departments of computer science, engineering, mathematical sciences, and imaging science for possible elective courses.

Master's thesis/project

Students may choose the thesis or project option as the capstone to the program. Students who choose the project option must register for the Project course (CSCI-788). Students participate in required in-class presentations that are critiqued. A summary project report and public presentation of the student's project (in poster form) occurs at the end of the semester.

Curriculum

Thesis/project options differ in course sequence, see the website for a particular option's modules and a particular cluster's modules.

Other admission requirements

-Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
-Submit scores from the Graduate Record Exam.
-Have a minimum grade point average of 3.0 (B), and complete a graduate application.
-International applicants, whose native language is not English, must submit scores from the Test of English as a Foreign Language. A minimum score of 570 (paper-based) or 88 (Internet-based) is required.
-Applicants must satisfy prerequisite requirements in mathematics (differential and integral calculus, probability and statistics, discrete mathematics, and computer science theory) and computing (experience with a modern high-level language [e.g., C++, Java], data structures, software design methodology, introductory computer architecture, operating systems, and programming language concepts).

Additional information

Bridge courses:
If an applicant lacks any prerequisites, bridge courses may be recommended to provide students with the required knowledge and skills needed for the program. If any bridge courses are indicated in a student's plan of study, the student may be admitted to the program on the condition that they successfully complete the recommended bridge courses with a grade of B (3.0) or better (courses with lower grades must be repeated). Generally, formal acceptance into the program is deferred until the applicant has made significant progress in this additional course work. Bridge program courses are not counted as part of the 30 credit hours required for the master's degree. During orientation, bridge exams are conducted. These exams are the equivalent to the finals of the bridge courses. Bridge courses will be waived if the exams are passed.

Faculty:
Faculty members in the department are actively engaged in research in the areas of artificial intelligence, computer networking, pattern recognition, computer vision, graphics, visualization, data management, theory, and distributed computing systems. There are many opportunities for graduate students to participate in these activities toward thesis or project work and independent study.

Facilities:
The computer science department provides extensive facilities that represent current technology, including:
-A graduate lab with more than 15 Mac’s and a graduate library.
-Specialized labs in graphics, computer vision, pattern recognition, security, database, and robotics.
-Six general purpose computing labs with more than 100 workstations running Linux, Windows, and OS X; plus campus-wide wireless access.

Maximum time limit:
University policy requires that graduate programs be completed within seven years of the student's initial registration for courses in the program. Bridge courses are excluded.

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Focus on computer science. The Master of Information Sciences will give you in-depth knowledge and expertise in computer science. Read more

Focus on computer science

The Master of Information Sciences will give you in-depth knowledge and expertise in computer science.

Find out more about the Master of Information Sciences parent structure.

Massey University’s Master of Information Sciences (Computer Science) will give you the knowledge and skills you need to gain a more in-depth understanding of computer science and to advance your career.You will learn how to apply knowledge of ICT technologies and/or management with both a broad world-view and at a specialty level. If you wish to have a broader-based qualification the Master of Science (Computer Science) may be suitable for you.

Flexibility of focus

Within computer science you can make the most of our lecturer’s research expertise to focus on topics that interest you such as:

  • Massey Auckland: artificial intelligence, compilers, computer graphics, computer vision, parallel and distributed computing, operating systems and advanced computer systems.
  • Massey Palmerston North: empirical software engineering, program verification, human-computer interaction, technology - support learning, artificial intelligence, smart environment, machine learning, scientific computing, health informatics and graph algorithms.

In demand

A report by Absolute IT showed that IT employers are seeking increasing numbers of staff. In Auckland alone 75% of IT employers are planning to recruit additional staff and contractors in 2016. The majority of the hiring is taking place because of increased demand and new projects.

The research showed that high demand areas are now software development, business analysis, project management and data/database. These are the key areas of information sciences you can study at Massey.

Giving you relevant work experience

A professional practice project is a major part of this masters. You will have the opportunity to lead real projects for real companies on real issues that they wish to solve. This experience can directly lead to roles and add substantial value to your resume when you are seeking employment.

Complete in 1.5 years

Massey University’s Master of Information Sciences is a 180 credit master qualification offering a rigorous programme of learning that can be achieved in one and a half years full-time study.

Giving you relevant work experience

A professional practice project is a major part of this master’s. You will have the opportunity to lead real projects for real companies on real issues that they wish to solve. This experience can directly lead to roles and add substantial value to your resume when you are seeking employment.

Research-led learning

Massey teaching is research-led and our academics are ranked among the best in the world. Our teaching staff are widely published and are in demand as keynote speakers on topical global issues. International visitors regularly seek out visits to our science facilities to learn more about what we do.

Accessible lecturers

We work to help you succeed. Massey University offers smaller classes and more personalised learning, giving you greater access to lecturers and the help you need to succeed and thrive during your master’s study.

Relevant learning

Your lecturers and supervisors at Massey have strong connections with the industry. We work to ensure that our teaching fits with the changing environment, which means you will emerge with a relevant qualification valued by potential employers.

Why postgraduate study?

Postgraduate study is hard work but hugely rewarding and empowering. The Master of Information Sciences will push you to produce your best creative, strategic and theoretical ideas. The workload replicates the high-pressure environment of senior workplace roles.

Not just more of the same

Postgraduate study is not just ‘more of the same’ undergraduate study. Our experts are there to guide but if you have come from undergraduate study, you will find that postgraduate study demands more in-depth and independent study. It takes you to a new level in knowledge and expertise especially in planning and undertaking research.



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