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Masters Degrees (Information Visualization)

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Walden’s online master’s in information technology program is designed to help you progressively build a 21st-century IT career—from the foundational skills required to enter the field to the specialized expertise needed for senior-level IT positions. Read more

Walden’s online master’s in information technology program is designed to help you progressively build a 21st-century IT career—from the foundational skills required to enter the field to the specialized expertise needed for senior-level IT positions.

Designed with input from IT industry leaders and employers, the online master’s in IT program offers core courses to help you develop essential programming, networking, and database management and development skills. After completing these core courses, you can then pursue one of five specializations that provide the advanced training required for senior positions in the in-demand fields of health informatics, cyber security, big data analytics, information systems, or software engineering.

Throughout the IT master’s program, virtual labs, hands-on applications, and the use of real-time analytics and business intelligence platforms help you gain the practical, real-world skills demanded by today’s employers.

Recently redesigned to help you gain highly marketable skills more quickly and affordably, the online master’s in information technology program enables you to earn a Graduate Certificate in Information Systems upon completing your first four courses.*

Center of Excellence

 Walden has been recognized as a National Center of Academic Excellence in Cyber Defense Education.

Learning Outcomes

Graduates of this program will be prepared to:

  1. Apply core information technology principles and practices.
  2. Apply best software engineering principles and practices to develop and maintain stable, secure, scalable, and maintainable software.
  3. Work in geographically dispersed teams to produce effective solutions to complex information technology problems.
  4. Recommend appropriate information technology solutions based on organizational needs and an evaluation of alternatives.
  5. Identify and discuss professional, individual, organizational, societal, and regulatory implications of information systems and technology.
  6. Select technologies, policies, and procedures to assure the confidentiality, integrity, and availability of information and IT systems.

*To receive the Graduate Certificate in Information Systems, you must satisfactorily complete ITEC 6111, ITEC 6115, ITEC 6145, and ITEC 6030 and apply for the certificate, which is awarded at no additional cost.

Find detailed information for this program, including possible occupations, completion rate, program costs, and median student loan debt.

MS in Information Technology Degree Specializations

Walden’s MS in Information Technology program offers a variety of specializations to help you meet your personal and professional goals.

Career options

Rapid advancements in technologies, new business opportunities for leveraging technology applications, and the anticipated retirement of many senior-level information technology professionals are factors contributing to the growing demand for technology talent. Employment of computer and system administrators, computer system analysts, and computer information systems managers is expected to grow by 25% from 2008 to 2018, according to the Bureau of Labor Statistics.

The MS in Information Technology can help you prepare for senior-level or leadership positions in big data analytics, engineering, programming, security, and systems architecture, including positions in:

Big data analytics

  • Business analytics specialist
  • Data analyst
  • Data scientist
  • Data visualization developer
  • Information security analyst
  • IT analyst
  • IT manager
  • Network administrator
  • Project manager
  • Software developer
  • System architect
  • Web developer

Computer software engineering

  • Computer software engineer, applications
  • Computer software engineer, systems software
  • Database designer/architect

Information technology security

  • Information technology security analyst
  • Network security analyst
  • Information technology business analyst
  • Technology risk manager

Network/systems administration

  • Computer programmer
  • Database programmer
  • Application programmer
  • Systems programmer

Learn more about the career outlook for graduates with a MS in Information Technology



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MSc Geo-Information Science. Do you want to contribute to solving multidisciplinary and complex issues using Geo- information science, geo-informatics and remote sensing? Then the master's Geo- Information Science is a perfect match for you!. Read more

MSc Geo-Information Science

Do you want to contribute to solving multidisciplinary and complex issues using Geo- information science, geo-informatics and remote sensing? Then the master's Geo- Information Science is a perfect match for you!

The increasing complexity of our society demands for specialists who can collect, manage, analyse and present spatial data using state-of-the-art methods and tools. At Wageningen University & Research we offer a unique, top-quality programme that blends geo-information science methods, technologies and applications within environmental and life sciences for a changing world. Our Geo-information Science graduates usually have a job waiting for them on graduation. Read more about the background of the programme

Specialisations

There are no formal specialisations in the Geo-Information Science programme. You can specialise by taking advanced courses in GIS and/or Remote Sensing, and by selecting courses in a range of application fields or geo-information technology. Furthermore, you develop your Geo-information Science profile by completing a major research thesis in one of the following research fields:

Your choice of internship location is another factor in developing your profile and specialisation.

Your future career

The increasing demand for digital geographical information has resulted in a phenomenal growth in the discipline of Geo-Information Science. The demand for geo-information is the result of an increase in environmental problems and the need to manage the natural and the social environment.The increasing demand for digital geographical information has resulted in a phenomenal growth in the discipline of Geo-Information Science.

The overview below provides more detailed information about the fields and positions taken by our alumni on graduation:

In Research

  • PhD
  • Researcher
  • Research Assistant

In Consultancy

  • Remote Sensing Specialist
  • Consultant
  • GIS adviser
  • Geo-information Manager
  • Geo-information Analist

In Education

  • Lecturer

Read more about career perspectives and opportunities after finishing the programme.

Related programmes:

MSc Geographical Information Management and Applications

MSc Forest and Nature Conservation 

MSc Landscape Architecture and Planning

MSc Environmental Sciences 

MSc Biosystems Engineering



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Parsons’ Master of Science in Data Visualization is a multidisciplinary program in which students develop skills bringing together visual design, computer science, statistical analysis, and ethical considerations of data analysis and representation. Read more

Parsons’ Master of Science in Data Visualization is a multidisciplinary program in which students develop skills bringing together visual design, computer science, statistical analysis, and ethical considerations of data analysis and representation. The presentation of data plays a critical role in the shaping of opinion, policy, and decision making in today’s increasingly global society. Giving students a competitive edge as they enter the field, the MS program responds to the increased demand for experts who can turn data into insight.

This program is part of Parsons' School of Art, Media, and Technology (AMT). Learn about the AMT community and explore our blog to see what students, faculty, and alumni are doing in NYC and around the world.

Theory and Practice

Housed within Parsons’ School of Art, Media, and Technology, the MS Data Visualization program can be completed in one or two years. The 30-credit curriculum integrates theory and studio practice, so students acquire the creative, quantitative, and coding tools needed to analyze and depict data, gaining a holistic understanding of context, audience, and objectives. With the MS in Data Visualization, students obtain the diverse skill set needed for success in a range of careers related to data interpretation. Students graduate with portfolios demonstrating their ability to create databases and Web-based software tools that reflect an understanding of data analysis and information visualization for varied applications.

Opportunities with Local Industry

The program’s setting in New York City, a technological hub and pioneer of open-source culture, offers invaluable industry access. Students intern with industry leaders and external partners from the government, nonprofit, and commercial sectors. Faculty invite guest lecturers and critics to share their insights and expose students to new possibilities in data visualization and related career paths.

Future Opportunities

Graduates find success in a wide variety of fields including data analysis, digital design, advertising and branding, journalism, business consulting and analytics strategy, management, strategic planning, entrepreneurship, social enterprise, public policy, trend forecasting, and business intelligence.

You can request more information about all possible future opportunities here: http://www.newschool.edu/m/data-visualization?utm_source=find_a_masters&utm_medium=hyperlink_listing&utm_campaign=pm_parsons_grad&utm_term=data_visualization

Financial Aid Deadline

All applicants selected for admission into our program are considered for a merit scholarship award that is determined by the strength of their application. Scholarship award notification is communicated at the same time as the admission decision. International students are eligible only for merit scholarships. If you are a U.S. citizen or eligible noncitizen, we encourage you to complete the Free Application for Federal Student Aid (FAFSA), which can be found on the Web at http://www.fafsa.gov. The FAFSA is available each year on October 1. You do not need to wait for an admission decision to apply for federal aid; we recommend submitting by our FAFSA priority deadline of February 1 for fall applicants. (The New School’s federal school code is 002780.)

You can request more information on available scholarships here: http://www.newschool.edu/m/data-visualization?utm_source=find_a_masters&utm_medium=hyperlink_listing&utm_campaign=pm_parsons_grad&utm_term=data_visualization



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The graduate program in Digital Futures responds to the increasingly important and sophisticated role of digital technology as a catalyst for change. Read more
The graduate program in Digital Futures responds to the increasingly important and sophisticated role of digital technology as a catalyst for change.

Digital Futures has an international student cohort and faculty. The program features collaborative overseas eGlobal courses with world-wide educational and industry partners. A global perspective is key to securing our graduates’ futures in the eclectic international creative digital industries, encompassing design, arts, creative services, entertainment, media and cultural industries. The Digital Futures program is offered in partnership with the Canadian Film Centre (CFC) Media Lab.

The Digital Futures student-centred learning approach applies to both research and practice. The curriculum ensures that you gain core digital knowledge and skills as you explore your specific areas of interest through electives, industry internships, residencies and independent study.

The program focuses on practice-based learning and prototyping, with an enterprise component and supporting thesis research. Industry partnerships help students to build a career runway in advance of graduating. You are encouraged to work with industry partners in internships which lead to mentorship for your thesis research.

WHO SHOULD APPLY?

You should have a background in design, technology, culture and/or enterprise as demonstrated by an undergraduate degree and relevant work experience. Our students are designers and artists, filmmakers, architects, journalists and media specialists, scientists, engineers and business people. This diversity drives peer learning and collaboration across disciplines in the program.

THE MASTER’S DEGREE IN DIGITAL FUTURES

The master's in Digital Futures is a two-year full-time program. In the program, you will develop practice-based and scholarly research in technologically advanced design, art and media through the following:

Critical thinking
Research and practice
Business and innovation studies
Computing and emerging digital methodologies

This is a full-time, 8-credit program comprising:

Foundational courses in computation, business creation, innovation and leadership
Core courses in digital methods, research, theory and practice
Intensive digital project and prototyping courses
Individual research and creation overseen by a principal advisor and supervisory committee
Summer internship and/or study abroad
Elective choices
Creative digital thesis project and supporting paper (MFA/MDes) or a written thesis and supporting creative project (MA)

Students declare their intention to pursue the Master of Design (MDes), Master of Fine Arts (MFA) or Master of Arts (MA) at the time of application. The outcomes of the chosen degree are distinctive. The MDes and MFA focus on practice-based research creation with a supporting thesis. The MA flips that focus, with an emphasis on a scholarly research thesis and a supporting creative project.

ELECTIVE CHOICES

New elective courses are continuously created in response to trends and emerging technologies. These cutting-edge courses cover theory and practice in design, art, media, technology and enterprise. Some examples include:

Body Centric Technologies
Dialogues in Feminism and Technology
Digital Games
Information Visualization
IP: Getting Value from Your Creativity
Web + Mobile System Design
Transmedia Storytelling
Ubiquitous Computing
Affect and Emotion in Practic
Making It Real
From Data to Perception
Special Topic: Family Camera at the ROM

WHERE MIGHT YOUR GRADUATE DEGREE IN THE DIGITAL FUTURES PROGRAM LEAD YOU?

As a Digital Futures graduate, you’ll be qualified to work in positions such as:

App, web, and games designers and developers
Digital project leaders
Cultural industry producers
Managers and coordinators between art and design departments and IT
Creators and developers of your own start-ups
Film, television and digital transmedia producers
Digital strategists and educators

Graduates of the Digital Futures program will be poised to play leadership roles in research and development in the media, arts, technology, entertainment and education sectors.

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Spatial data play an increasingly important role in many areas of our lives. environmental protection, forecasting, agriculture, and local and regional planning. Read more
Spatial data play an increasingly important role in many areas of our lives: environmental protection, forecasting, agriculture, and local and regional planning. Understanding Geographical Information Systems and GI science is essential for effective management and analysis of spatial data.

Core
• Introduction to GIS
• Spatial Information Science
• Earth Observation and Remote Sensing
• GIS Research Methods Field Trip
• Dissertation tutorial
• Geographical Visualization
• Programming for Spatial Scientists
• Plus a 60 credit master’s dissertation

We recognise the need for challenging and diverse methods of assessment. Our methods vary from traditional examinations, individual oral presentations, reports, web pages, research proposals, literature reviews and posters. We also include an amount of field-based teaching and computer practical sessions in our courses. As well as being taught subject knowledge, you will also receive training on how to plan, develop and execute a programme of individual research. We feel that the development of group skills is very important and a number of pieces of coursework involve a team of people. Coursework feedback is given
promptly and in considerable detail, enabling you to improve continuously.

• The MSc in Geographical Information Science at the University of Leicester is the longest running MSc in GIS in England and offers comprehensive training in GI Science and Systems.
• The MSc in GIS has been recently been accredited by the Royal Institution of Chartered Surveyors (RICS).
• The course is overseen by an employer panel of representatives from industry, government, research and environmental agencies in order to maintain the relevancy of the course content and direction.

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Why choose this MBA?. The Master of Business Administration (MBA) is a two-year part-time program designed especially for industry professionals wanting to advance their careers. Read more
Why choose this MBA?

The Master of Business Administration (MBA) is a two-year part-time program designed especially for industry professionals wanting to advance their careers. To accommodate work schedules, courses take place once a month for 4 days over an extended weekend (Thu-Sun). The innovative course structure consists of pre-module, core module, and post-module periods enabling you to prepare before and after the 2-4 days on campus via e-learning. All classes are conducted as interactive seminars in a stimulating learning environment, guaranteeing a high degree of collaboration and exchange with world-renowned faculty. Designed to support and inspire students in their learning process, the MBA courses employ a variety of resources and formats including books, online articles, case studies, and real-life examples taken from the industry. The program averages 18 months for completion, however study periods can be adjusted to fit your personal schedule, giving you maximum flexibility to study alongside your career. You will not only build a solid foundation in general management skills, but also have the opportunity to specialize in a specific field or industry. MODUL University Vienna has established research competencies in the fields of New Media, Public Governance, Sustainable Development, and Tourism and Hotel Development with a myriad of scientific achievements in basic and applied research. Specialized in these fields of expertise, the MBA faculty is comprised of renowned professors and experts who ensure an outstanding and thematically focused education. Courses are taught in English by an internationally experienced faculty. Furthermore, a 60% international student body provides a multicultural learning environment as well as manifold networking opportunities.
Pursuing a Master of Business Administration with MODUL University Vienna encourages out-of-the-box thinking and challenging existing limits and thought patterns and equips you with the skills to take your career to the next level.
MODUL University Vienna is an international private university in Austria owned by the Vienna Chamber of Commerce and Industry, the largest provider of private education in Austria. All programs are accredited by the Agency for Quality Assurance and Accreditation Austria.

Program Focus

The MBA concentrates on strategic analysis and planning, problem-solving, interdisciplinary skills, value-based management and critical thinking. It builds these skills upon a solid foundation of core business disciplines including human resource management, organizational behavior, accounting and finance, marketing and operations, and innovation and entrepreneurship. MBA students opting for a Major in New Media and Information Management become equipped with skills in Media Asset Management and Utilization, Big Data and Decision Support, Visualization Techniques for Management, Business Planning and Intellectual Property Rights, Telecommunication and are updates on the latest trends in New Media and Human-Computer Interaction.

The ideal MBA Student

Students enrolled in the MBA with a Major in New Media and Information Management come from all over the world and have different professional backgrounds. The industry professionals enrolling in an MBA study program are highly motivated, hold an academic degree (Bachelor or other comparable undergraduate degree), have a minimum of three years of professional experience and are fluent in English. For more details on the curriculum, the program’s faculty, and the admission criteria visit http://www.modul.ac.at, contact the MBA Program Manager Dr. Verena Peer or the Admissions Office ().

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Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study High Performance and Scientific Computing at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study High Performance and Scientific Computing at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

The MSc in High Performance and Scientific Computing is for you if you are a graduate in a scientific or engineering discipline and want to specialise in applications of High Performance computing in your chosen scientific area. During your studies in High Performance and Scientific Computing you will develop your computational and scientific knowledge and skills in tandem helping emphasise their inter-dependence.

On the course in High Performance and Scientific Computing you will develop a solid knowledge base of high performance computing tools and concepts with a flexibility in terms of techniques and applications. As s student of the MSc High Performance and Scientific Computing you will take core computational modules in addition to specialising in high performance computing applications in a scientific discipline that defines the route you have chosen (Biosciences, Computer Science, Geography or Physics). You will also be encouraged to take at least one module in a related discipline.

Modules of High Performance and Scientific Computing MSc

The modules you study on the High Performance and Scientific Computing MSc depend on the route you choose and routes are as follows:

Biosciences route (High Performance and Scientific Computing MSc):

Graphics Processor Programming

High Performance Computing in C/C++

Operating Systems and Architectures

Software Testing

Programming in C/C++

Conservation of Aquatic Resources or Environmental Impact Assessment

Ecosystems

Research Project in Environmental Biology

+ 10 credits from optional modules

Computer Science route (High Performance and Scientific Computing MSc):

Graphics Processor Programming

High Performance Computing in C/C++

Operating Systems and Architectures

Software Testing

Programming in C/C++

Partial Differential Equations

Numerics of ODEs and PDEs

Software Engineering

Data Visualization

MSc Project

+ 30 credits from optional modules

Geography route (High Performance and Scientific Computing MSc):

Graphics Processor Programming

High Performance Computing in C/C++

Operating Systems and Architectures

Software Testing

Programming in C/C++

Partial Differential Equations

Numerics of ODEs and PDEs

Modelling Earth Systems or Satellite Remote Sensing or Climate Change – Past, Present and Future or Geographical Information Systems

Research Project

+ 10 credits from optional modules

Physics route (High Performance and Scientific Computing MSc):

Graphics Processor Programming

High Performance Computing in C/C++

Operating Systems and Architectures

Software Testing

Programming in C/C++

Partial Differential Equations

Numerics of ODEs and PDEs

Monte Carlo Methods

Quantum Information Processing

Phase Transitions and Critical Phenomena

Physics Project

+ 20 credits from optional modules

Optional Modules (High Performance and Scientific Computing MSc):

Software Engineering

Data Visualization

Monte Carlo Methods

Quantum Information Processing

Phase Transitions and Critical Phenomena

Modelling Earth Systems

Satellite Remote Sensing

Climate Change – Past, Present and Future

Geographical Information Systems

Conservation of Aquatic Resources

Environmental Impact Assessment

Ecosystems

Facilities

Students of the High Performance and Scientific Computing programme will benefit from the Department that is well-resourced to support research. Swansea physics graduates are more fortunate than most, gaining unique insights into exciting cutting-edge areas of physics due to the specialized research interests of all the teaching staff. This combined with a great staff-student ratio enables individual supervision in advanced final year research projects. Projects range from superconductivity and nano-technology to superstring theory and anti-matter. The success of this programme is apparent in the large proportion of our M.Phys. students who seek to continue with postgraduate programmes in research.

Specialist equipment includes:

a low-energy positron beam with a highfield superconducting magnet for the study of positronium

a number of CW and pulsed laser systems

scanning tunnelling electron and nearfield optical microscopes

a Raman microscope

a 72 CPU parallel cluster

access to the IBM-built ‘Blue C’ Supercomputer at Swansea University and is part of the shared use of the teraflop QCDOC facility based in Edinburgh

The Physics laboratories and teaching rooms were refurbished during 2012 and were officially opened by Professor Lyn Evans, Project Leader of the Large Hadron Collider at CERN. This major refurbishment was made possible through the University’s capital programme, the College of Science, and a generous bequest made to the Physics Department by Dr Gething Morgan Lewis FRSE, an eminent physicist who grew up in Ystalyfera in the Swansea Valley and was educated at Brecon College.



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This Joint Degree between HEC Paris and Ecole Polytechnique will equip students with both the technical skills and the strategic mindset to lead successfully any business career requiring a strong expertise in Big Data. Read more

This Joint Degree between HEC Paris and Ecole Polytechnique will equip students with both the technical skills and the strategic mindset to lead successfully any business career requiring a strong expertise in Big Data.

Study in two globally-recognised Institutions

Ecole Polytechnique and HEC Paris are both world leading academic institutions, renowned for the quality of their degrees, faculties and research (see HEC rankings).

Their association within this Joint Degree represents the best Business/Engineering combination Europe could possibly offer, with extraordinary added value for the students who will follow this program in Data Science and Business.

Lead the digital transformation of the economy

Big data marks the beginning of a major transformation of the digital economy, which will significantly impact all industries. There are three main challenges to face:

  • Technological: dealing with the explosion of data by managing the spread of vast amounts of information that is often very disorganized (IP addresses, fingerprinting, website logs, static web or warehouse data, social media, etc.)
  • Scientific: replacing mass data with knowledge,i.e. developing the expertise that makes it possible to structure information, even out of tons of vague or corrupt data.
  • Economic: managing data both to control risks and benefit from the new opportunities they offer. On the one hand, it is absolutely vital to be able to control the flow of information, anticipate data leaks, keep the information secure and ensure privacy. On the other hand, it is also essential to come up with solutions capable of transforming this flow of data into economic results and, at the same time, discover new sources of value from the data.

Acquire the skills to make a difference in tomorrow's digital world

Exploiting this vast amount of data requires the following:

  • A mastery of the sophisticated mathematical techniques needed to extract the relevant information.
  • An advanced understanding of the fields where this knowledge can be applied in order to be in a position to interpret the analysis results and make strategic decisions.
  • A strong business mindset and an even stronger strategic expertise, to be able to fully benefit from the new opportunities involved with Big Data problematics and develop business solutions accordingly.
  • The ability to suggest and then decide on the choice of IT structures, the ability to follow major changes in IT systems, etc.

Therefore the program has three objectives:

  • To train students in data sciences which combines mathematic modelling, statistics, IT and visualization to convert masses of information into knowledge.
  • To give students the tools to understand the newest data distributing structures and large scale calculations to ease decision-making and guide them in their choices.
  • To form data ‘managers’ capable of exploiting the results from analysis to make strategic decisions at the heart of our changeable businesses.

Make the most of the worldwide networking and alumni power 

Students will benefit not only from the close ties that HEC Paris has developed with the business world but also those of Ecole Polytechnique, through various networking events, conferences and career fairs.

The HEC Alumni network alone, consists of more than 52,300 members in 127 countries.

Program details

The key aim of the teaching in this Joint Degree is to provide students with the tools needed to solve real problems, using structured and unstructured data masses, teaching them to ask the ‘right’ questions (both from statistics and ‘business’ perspectives), to use the appropriate mathematical and IT tools to answer these questions.

Students will be equipped to shift constantly from data to knowledge, from knowledge to strategic decision, and from strategic decision to operational business implementations.

All these shifts carry with them numerous challenges that each require an interdisciplinary approach involving mathematics, IT, business strategy, and management skills.



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Data is the blood flow of organisations. and the efficient use of information has become more important than ever. The Master of Science in Business Intelligence & Analytics at ESC Clermont in France is a . Read more

Data is the blood flow of organisations and the efficient use of information has become more important than ever. The Master of Science in Business Intelligence & Analytics at ESC Clermont in France is a 14 to 18-month master programme taught fully in English and accredited by the CGE. The programme trains Business Intelligence and Analytics professionals able to decode, analyse and interpret data in order to efficiently use the information to opitmize the decision-making process for the management. Students will practice the usage of analytical techniques, software tools, information systems and applications that are used to analyse what happened in the past while better anticipating the future. The programme focuses on the following areas: business modeling, data discovery, data visualization and data analysis.

Lectures are given by academic professors along with experts of different industries delivering real examples and transmitting their knowledge directly to the students.

Classes last from October to May, followed by an internship of a minimum of 4 months along with an executive report.

Target

Recent graduates and professionals from different backgrounds and expreiences looking forward to bridging the gap between IT and business requirements in order to enhance the decision-making process.

Strengths

  • Taught fully in English
  • Practical training: Mix of theory, practice and external conferences from professional references.
  • Mastery of world-famous tools and software : Use of market-leader software as MicroStrategy and SPSS through projects in agile method. Mix of theory and practice.
  • Preparation of future expertsAn executive internship to apply the knowledge learnt and obtain professional experience.

Professionalisation

Internship and Thesis

As part of the master programme, students of the MSc. in Business Intelligence & Analytics take on an internship or a work placement for a minimum of 4 months. The internship can be in France, Europe or any other international destination.

The internship is a great opportunity for students to conquer the business data worldobtain professional experience, acquire new skills, and develop existing skills.

Each student is individually supervised by a designated advisor and completes a professional thesis, followed by an oral defense and company assessment.

  Companies that welcome our students:

  • Microsoft
  • Capgemini
  • Valeo
  • BNP Paribas
  • Limgrain
  • L’Oreal
  • Michelin

Financing

Various flexible payment plans and scholarships are offered to international students.

Careers

On Business side

  • Business Analyst
  • Data Manager
  • Information Manager
  • BI/BA Project Manager
  • BI/BA Team Manager

On Information Systems side

  • BI/BA Functional Analyst
  • BI/BA Consultant
  • BI/BA Architect
  • BI/BA Scrum Master
  • BI/BA Domain Manager


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This one year MSc Data Science degree prepares you to become a proficient data scientist, building core areas of expertise, from the ability to operate high-performance computing clusters and cloud-based infrastructures, to devising and applying sophisticated Big Data analytics techniques. Read more

This one year MSc Data Science degree prepares you to become a proficient data scientist, building core areas of expertise, from the ability to operate high-performance computing clusters and cloud-based infrastructures, to devising and applying sophisticated Big Data analytics techniques.

Introducing your degree

This MSc programme will train students to become proficient data scientists.

You will gain advanced knowledge in areas such as data mining, machine learning, and data visualization, including state of the art techniques, programming toolkit, and industrial and societal application scenarios.

Overview

This programme prepares you to become a proficient data scientist, developing your specialist knowledge in subjects that are crucial for mastering the vast and ever-so-complex information landscape that is characteristic to modern, digitally empowered organisations.

This is typically linked to a number of core areas of expertise, from the ability to operate high-performance computing clusters and cloud-based infrastructures, to the know-how that is required to devise and apply sophisticated Big Data analytics techniques, and the creativity involved in designing powerful visualizations.

In the first semester you start with a review of key topics in data science. The course will introduce the core theoretical and technology components required to design and use a data science application, using open-source tools and openly accessible data sets. You will also cover the most important machine learning techniques, which are at the core of any attempt to analyse and reason about data.

You will be exposed to more advanced topics in data mining in the second semester, including feature engineering, methods to manipulate text and multimedia data, topic modelling, social network analysis, and spectral analysis. A new module on data visualization will introduce the most common types of visualization techniques and state-of-the-art technology used to build graphic elements into data science applications to present analytics results.

Finally, during the summer the MSc project enables you will demonstrate your mastery of specialist techniques, relevant methods of enquiry, and your ability to design and deliver advanced application, systems and solutions to a tight deadline, including the production of a substantial dissertation.

Career Opportunities

Data scientists help organisations handle large amounts of data being produced thanks to digital technologies. Harvard Business Review described the role as 'The Sexiest Job of the 21st Century' due to the rare combination of skills that a trained data scientist possesses.

Data science has seen an unparalleled expansion as the data-driven economy grows. Increasingly organisations require skilled professionals who can handle large datasets and managers who can utilise the resulting analysis to make impactful decisions.

There is a range of potential jobs available; demand for big data staff is predicted to rise 92% over 5 years from Jan 2013. The programme provides an excellent opportunity for entry into data sciences or similar fields. Plus, big data positions offer a median salary of £55,000 – 24% higher than for IT staff in general (UK). There are also academic possibilities for doctoral study, as there are for entrepreneurial careers.

ECS runs a dedicated careers hub with is affiliated with more than 100 renowned companies such as IBM, Arm, Microsoft, Samsung, and Google. Visit our Careers Hub for more information.

Graduates from our MSc program can seek employment worldwide in:

  • established companies looking to spot trends in sales, marketing or operational data;
  • start-ups based around new opportunities in the booming data-driven economy;
  • government departments looking to utilise linked open data to gain insights to affect policy at the highest levels;
  • research/consultancy companies analysing data and feeding back to the wider community, with training and specialist services to clients.

Through an extensive blend of networks, mentors, societies and our on-campus startup incubator, we also support aspiring entrepreneurs looking to build their professional enterprise skills. Discover more about enterprise and entrepreneurship opportunities.



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Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Data Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Data Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

MSc in Data Science aims to equip students with a solid grounding in data science concepts and technologies for extracting information and constructing knowledge from data. Students of the MSc Data Science will study the computational principles, methods, and systems for a variety of real world applications that require mathematical foundations, programming skills, critical thinking, and ingenuity. Development of research skills will be an essential element of the Data Science programme so that students can bring a critical perspective to current data science discipline and apply this to future developments in a rapidly changing technological environment.

Key Features of the MSc Data Science

The MSc Data Science programme focuses on three core technical themes: data mining, machine learning, and visualisation. Data mining is fundamental to data science and the students will learn how to mine both structured data and unstructured data. Students will gain practical data mining experience and will gain a systematic understanding of the fundamental concepts of analysing complex and heterogeneous data. They will be able to manipulate large heterogeneous datasets, from storage to processing, be able to extract information from large datasets, gain experience of data mining algorithms and techniques, and be able to apply them in real world applications. Machine learning has proven to be an effective and exciting technology for data and it is of high value when it comes to employment. Students of the Data Science programme will learn the fundamentals of both conventional and state-of-the-art machine learning techniques, be able to apply the methods and techniques to synthesise solutions using machine learning, and will have the necessary practical skills to apply their understanding to big data problems. We will train students to explore a variety visualisation concepts and techniques for data analysis. Students will be able to apply important concepts in data visualisation, information visualisation, and visual analytics to support data process and knowledge discovery. The students of the Data Science programme also learn important mathematical concepts and methods required by a data scientist. A specifically designed module that is accessible to students with different background will cover the basics of algebra, optimisation techniques, statistics, and so on. More advanced mathematical concepts are integrated in individual modules where necessary.

The MSc Data Science programme delivers the practical components using a number of programming languages and software packages, such as Hadoop, Python, Matlab, C++, OpenGL, OpenCV, and Spark. Students will also be exposed to a range of closely related subject areas, including pattern recognition, high performance computing, GPU processing, computer vision, human computer interaction, and software validation and verification. The delivery of both core and optional modules leverage on the research strength and capacity in the department. The modules are delivered by lecturers who are actively engaged in world leading researches in this field. Students of the Data Science programme will benefit from state-of-the-art materials and contents, and will work on individual degree projects that can be research-led or application driven.

Modules

Modules for the MSc Data Science programme include:

- Visual Analytics

- Data Science Research Methods and Seminars

- Big Data and Data Mining

- Big Data and Machine Learning

- Mathematical Skills for Data Scientists

- Data Visualization

- Human Computer Interaction

- High Performance Computing in C/C++

- Graphics Processor Programming

- Computer Vision and Pattern Recognition

- Modelling and Verification Techniques

- Operating Systems and Architectures

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Career Destinations

- Data Analyst

- Data mining Developer

- Machine Learning Developer

- Visual Analytics Developer

- Visualisation Developer

- Visual Computing Software Developer

- Database Developer

- Data Science Researcher

- Computer Vision Developer

- Medical Computing Developer

- Informatics Developer

- Software Engineer



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Design for the Digital Age. The program is tailored to practicing designers seeking to enhance their digital skills and leadership potential as well as professionals with relevant design experience who want to enter the field. Read more

Design for the Digital Age

The program is tailored to practicing designers seeking to enhance their digital skills and leadership potential as well as professionals with relevant design experience who want to enter the field. It encompasses the full product development cycle in communication design — from idea conception to prototyping to feedback-based refinements — and familiarizes you with business strategy.

In this one-year, 30-credit curriculum, you develop creative problem-solving strategies to relay and translate messages, information, and ideas. Your full-time course of study is built on four components: instruction in advanced core design competencies, practices and methods courses, external partnerships, and the core studio sequence. Parsons faculty — skilled at bringing together design thinking, aesthetics, and technology—guide you to explore innovative composition and visualization methods, interaction design, typography, and industry best practices.

Industry Ready

You graduate from the program with your own unique, forward-looking aesthetic anchored in professional skills acquired throughout the program, which include entrepreneurship, strategic working methodologies, and contemporary prototyping. You are prepared for digital design work settings, with competence in various industry-standard technologies, including front-end development skills (HTML, CSS, and JavaScript), and experience navigating professional partnerships with teams and clients.

Future Opportunities

Graduates pursue careers in Interaction Design, User Experience (UX) Design, Digital Product Design, and Product Management.

Financial Aid Deadline

All applicants selected for admission into our program are considered for a merit scholarship award that is determined by the strength of their application. Scholarship award notification is communicated at the same time as the admission decision. If you are a U.S. citizen or permanent resident, we encourage you to complete the Free Application for Federal Student Aid (FAFSA), which can be found on the Web at http://www.fafsa.gov. The FAFSA is available each year on October 1. You do not need to wait for an admission decision to apply for federal aid; we recommend submitting by our FAFSA priority deadline of February 1 for fall applicants. (The New School’s federal school code is 002780.)

Creating Collaboratively, from Concept to Product

The specialized course of study provides coding experience and engages the iterative process and a range of collaboration and teamwork strategies. You work from design conception and pitching through post-launch critical analyses of user experience (UX) and interaction (UI). The New York City location enables you to take advantage of the city’s diverse technology and design resources while learning alongside like-minded designers in the Parsons community. You can supplement core courses with a related university-sponsored public program and an elective offered at Parsons or another school or college of The New School, such as a class in psychology, marketing, data visualization, or another field. This program is offered by Parsons' School of Art, Media, and Technology (AMT). You can learn about the AMT community and explore the blog to see what students, faculty, and alumni are doing in NYC and around the world.

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



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What is the Master of Digital Humanities all about?. The Master of Science in Digital Humanities helps graduates from . Read more

What is the Master of Digital Humanities all about?

The Master of Science in Digital Humanities helps graduates from Humanities, Social and Behavioral Sciences programmes to develop digital competencies that will allow them to add digital dimensions to their own domain expertise. It aims to explicitly link these competencies to research questions, case studies and applications related to the domain expertise of the students.

Graduates of this programme will be able to bring their own domain expertise to a significantly higher level of functionality, using digital tools and techniques. Building both on the expertise they obtained from the programme and their prior expertise in Humanities, Social or Behavioral Sciences, graduates will be well placed to open many new digital applications to a much wider community. Moreover, those who wish to move to a professional profile involving more advanced digital competencies, are well prepared to do so.

Structure

The programme is organized around a number of clusters of course units. The central clusters are the Application Domains cluster and the Tools for the Digital World cluster. Supporting clusters are the Introductory Digitization Components cluster, the Advanced Digitization Components cluster and the Management Component. The heart of the research activities is situated in the Master’s thesis.

International and multidisciplinary

The Master’s Programme is conceived as a one year, international and multidisciplinary advanced master programme (master-after-master). The programme is unique in Flanders and one of only a few in Europe. The programme is firmly framed in an explicit collaboration between the Faculty of Arts, the Faculty of Psychology and Educational Sciences, the Faculty of Social Sciences and the Faculty of Sciences - Department of Computer Science. As such, it is supported by experts in Digital Humanities applications, who supply research expertise for the programme, as well as by experts in digital techniques and tools, who provide a sound technical basis for the students.

Objectives

Digitization affects in many ways how future scientists in Humanities and Behavioural Sciences will conduct their research. Also, graduates from Humanities and Behavioural Sciences programs enter a professional world in which digitization becomes the standard, be it in publishing, arts, libraries, teaching and many others.

The Master of Science in Digital Humanities program aims to prepare graduates from Humanities and Behavioural Sciences programs for these challenges. It aims to help such graduates to develop digital competencies that will allow them to add digital dimensions to their own domain expertise. It aims to explicitly link this knowledge and these competencies to case studies and applications related to the domain expertise of the students. It will train them to master information structures and functionalities of data, programming structures and technique to produce scripts for digital applications, tools for improving access and interactive use of data and the development of new digital applications. It will train them how to manage projects related to digitization and introduce them to emerging new digital technologies and their applications.

As an advanced master program (master-after master), it is assumed that the students entering this program have already achieved the general academic competencies defined for any master's program. Nevertheless, it is also within the aims of the program to further strengthen these competencies, within the specific context that Digital Humanities offers.

More specifically, graduates understand the basics of Digital Humanities, databases and query languages, scripting languages, the role of IT in management and of some of the emerging technologies in Digital Humanities. They are able to formulate research goals, determine trajectories that achieve these goals, collect and select information relevant to achieve the research goals and interpret collected information on the basis of a critical research attitude. They are able to communicate scientifically. They are able to model a database and use SQL, to use a scripting language, to apply tools for Digital Humanities and to study applications in Digital Humanities. They have the attitudes of valuing and fostering creative, critical and independent thinking, of applying an interdisciplinary and participative approach in innovative development and of striving towards opening the digital world to a broader society.

Career perspectives

Academically, researchers in the Humanities, Social or Behavioral Science are confronted with the need to apply digital tools to facilitate and enhance their research. The program enables graduates to enhance their research in the Humanities, Social or Behavioral Sciences through non-trivial uses of digital tools and techniques. This may include modeling and querying databases, accessing data, interconnecting andquerying web resources, extending tools with scripts to provide extra functionality, text-encoding and e-publishing, mining repositories, data visualization, analyzing social networks, adopting, adapting and enhancing e-learning environments, improvingusability of human-computer interaction. As such, graduates are very well placed to take on the challenges that novel research positions require.

Professionally, graduates of the Humanities, Social of Behavioral Sciences enter professional environments where connecting the company’s business with digital tools and techniques has become standard. Here as well, the program enables its graduates to put to use non-trivial digital techniques in their professional occupations, including e-media, publishing, arts, history, culture, music, libraries, e-education or interactions for end-user applications. Thus, graduates who want to pursue a career in the usual sectors for graduates of the Humanities, Social or Behavioral Sciences will be much better prepared to cope with the digital techniques that are currently applied there.

More generally, graduates of this program provide society with professionals and researchers who are able to bring their own domain expertise to a higher level of functionality, using digital tools and techniques. Building both on the expertise they obtained from the program and their prior expertise in Humanities, Social or Behavioral Sciences, are well placed to take part in opening the digital world to a larger community.

Graduates of this program who wish to move to a job profile involving more advanced digital competencies, are prepared to do so and will help to close to gap in an IT-focused labor market. This will require extra training at the company and aims at positions such as project analysts, project managers, service managers.



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Our society is becoming more and more mobile; the meaning of terms such as “space” and “distance” is currently experiencing a complete overhaul due to digital media. Read more

INSTALLATIONS, SET DESIGN, PLAY PLACES

Our society is becoming more and more mobile; the meaning of terms such as “space” and “distance” is currently experiencing a complete overhaul due to digital media. That’s why an entire industry segment is now dedicated to the topic of the communication and staging of information, brands, and experiences in private and public, real and virtual spaces – in media spaces.

The English-language master’s degree program in Media Spaces consists of interdisciplinary project teams that research innovative communication solutions within the realm of where real and virtual spaces come together. Graduates of Media Spaces apply innovative design methods to transform communication within virtual and real spaces into inspiring and long-lasting experiences. The aim here is to satisfy the human need for aesthetics, social interaction, play, information, or knowledge – and to offer brands, corporations, or organizations a way to expand their communication strategy.

THE BTK PROGRAM

The state-accredited master’s degree program in Media Spaces at BTK is a project-based program for people who have already completed a bachelor’s degree in an artistic, design, or media-relevant study program*. The concept of our program is particularly based on interdisciplinary work, and deliberately targets applicants with various design competencies and backgrounds: communication designers, media designers, architects, computer scientists, set designers, design managers, or media theorists.

The first two semesters consist of interdisciplinary project-based studies, the theory of various media and process-based events, as well as a catalog of compulsory courses. You will work in a team throughout an entire semester on a joint challenge and go through the typical phases of a project, just as you would in your future career: from research, planning, and concept creation to realization, documentation, and presentation.

The entire 3rd semester is dedicated to your master’s thesis. This module includes the completion of your thesis, which consists of a design-in-practice part and an academic part.

The program at BTK offers an in-depth, hands-on approach, which creates unlimited opportunities for you to explore new, hybrid ideas and discover new career areas – above all within in the digital media realm.

*Students who are currently completing their bachelor’s degree can also apply. Please refer to our admission requirements for more information.

CAREERS

Graduates of the master’s degree program in Media Spaces are able to analyze and locate spatial, moving, and nonlinear forms of expression and then apply the results to create their own space concept. Thanks to solid competence in media, they are able to develop design-based and technically sophisticated solutions for complex, multidisciplinary challenges. Furthermore, they have excellent knowledge in methods for planning, organizing, and production technologies, and the means to successfully realize projects. These can range from installations, set design, play places, and moving 3D images to guidance systems, brand presentations, architecture, and interior design to exhibition and event design, the visualization of “data spaces”, and the generation of scientific visuals.

In addition, the master’s degree program in Media Spaces qualifies graduates to work in interdisciplinary, intercultural, and international project teams and to lead these, as well as to be an entrepreneur or freelancer in the artistic, design field. It also forms the ideal foundation for a high-caliber, leadership career in the media department at a company or for taking the path of an academic career.

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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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