Big data has turned out to have giant potential, but poses major challenges at the same time. On the one hand, big data is driving the next stage of technological innovation and scientific discovery. Accordingly, big data has been called the “gold” of the digital revolution and the information age. On the other hand, the global volume of data is growing at a pace which seems to be hard to control. In this light, it has been noted that we are “drowning in a sea of data”.
Faced with these prospects and risks, the world requires a new generation of data specialists. Data engineering is an emerging profession concerned with big data approaches to data acquisition, data management and data analysis. Providing you with up-to-date knowledge and cutting-edge computational tools, data engineering has everything that it takes to master the era of big data.
The Data Engineering program is located at Jacobs University, a private and international English-language academic institution in Bremen, Germany. The two-year program offers a fascinating and profound insight into the foundations, methods and technologies of big data. Students take a tailor-made curriculum comprising lectures, tutorials, laboratory trainings and hands-on projects. Embedded into a vibrant academic context, the program is taught by renowned experts. In a unique setting, students also team up with industry professionals in selected courses. Core components of the program and areas of specialization include:
- The Big Data Challenge
- Data Analytics
- Big Data Bases and Cloud Services
- Principles of Statistical Modeling
- Data Acquisition Technologies
- Big Data Management
- Machine Learning
- Semantic Web and Internet of Things
- Data Visualization and Image Processing
- Document Analysis
- Internet Security and Privacy
- Legal Aspects of Data Engineering and Data Ethics
For more details on the Data Engineering curriculum, please visit the program website at http://www.jacobs-university.de/data-engineering.
Demand for data engineers is massive – in industry, commerce and the public sector. From IT to finance, from automotive to oil and gas, from health to retail: companies and institutions in almost every domain need experts for data acquisition, data management and data analysis. With an MSc degree in Data Engineering, you will excel in this most exciting and rewarding field with very attractive salaries. Likewise, an MSc degree in Data Engineering allows you to move on to a PhD and to a career in science an research.
The Data Engineering program starts in the first week of September every year. Please visit http://www.jacobs-university.de/graduate-admission or use the contact form to request details on how to apply. We are looking forward to receiving your inquiry.
All applicants are automatically considered for merit-based scholarships of up to € 12,000 per year. Depending on availability, additional scholarships sponsored by external partners are offered to highly gifted students. Moreover, each admitted candidate may request an individual financial package offer with attractive funding options. Please visit http://www.jacobs-university.de/study/graduate/fees-finances to learn more.
Jacobs University’s green and tree-shaded campus provides much more than buildings for teaching and research. It is home to an intercultural community which is unprecedented in Europe. A Student Activities Center, various sports facilities, a music studio, a student-run café/bar, concert venues and our Interfaith House ensure that you will always have something interesting to do. In addition, Jacobs University offers accommodation for graduate students on or off campus.
There is an enormous and increasing amount of data that is collected. Examples include not just traditional data such as sales transactions, but location data (GPS), interactions between people on social network, measurements of sleep patterns, medication being taken, state of health, and much much more.
A key challenge is then to make use of this wealth of data. How can we manage this data, and analyse it to exploit useful information that can guide decision making?
This emerging area goes under the name “Data Science”. There is growing demand for people, “Data Scientists”, who have the skills to manage and analyse enormous amounts of data using a range of techniques such as data mining, statistical techniques, and machine learning.
Data Scientist has been called the “Sexiest job of the 21st century”, and the unique combination of technical skills (stats, data management) and business understanding has been said to make Data Scientists “highly sought after and highly paid”.
The MBusDataSc primary focus is to equip you to become a practitioner, allowing you to meet the needs of industry, and solve the data problems of the world. However, there will also be an alternative path that will focus on preparing students for research in the area (e.g. going on to do a masters by research or PhD).
The proposed degree is inherently multidisciplinary, featuring Information Science and Marketing, which gives the degree a strong business focus; as well as contributions from Computer Science and from Statistics.
Once you have completed the MBusDataSc you will have developed an advanced knowledge of data science. You will understand how data analysis can be used in business, including being able to identify opportunities to use data, be aware of ethical and privacy issues and possible mitigations, and be able to select appropriate means of presenting the results of analysis. You will be able to select and apply techniques to manage and analyse large collections of data.
The programme of study shall consist of seven 20 point taught papers together with a 40 point applied project or research project. Papers are either taught in semester one, semester two or are full-year papers.
You must complete:
Plus one of the following project papers
BSNS 580 - Research Project (for students who may wish to progress to PhD study)
The University of Otago coursework masters programmes provide you with an opportunity to specialise in advanced study with a focus on either applied practical or academic research.
Graduates of the MBusDataSc will gain skills in three areas: those relating to the business and organisational context, those relating to computing technologies for managing data, and those relating to data analysis techniques.
As a graduate of the MBusDataSc you should be able to:
Learning how to turn real-world data sets into tools and useful insights, with the help of software and algorithms.
Data plays a role in almost every scientific discipline, business industry or social organisation. Medical scientists sequence human genomes, astronomers generate terabytes of data per hour with huge telescopes and the police employ seismology-like data models that predict where crimes will occur. And of course, businesses like Google and Amazon are shifting user preference data to fulfil desires we don’t even know we have. There is therefore an urgent need for data scientists in whole array of fields. In the Master’s specialisation in Data Science you’ll learn how to turn data into knowledge with the help of computers and how to translate that knowledge into solutions.
Although this Master’s is an excellent stepping-stone for students with ambitions in research, most of our graduates work as data consultants and data analysts for commercial companies and governmental organisations.
- This specialisation builds on the strong international reputation of the Institute for Computing and Information Sciences (iCIS) in areas such as machine learning, probabilistic modelling, and information retrieval.
- We’re leading in research on legal and privacy aspects of data science and on the impact of data science on society and policy.
- Our approach is pragmatic as well as theoretical. As an academic, we don’t just expect you to understand and make use of the appropriate tools, but also to program and develop your own.
- Because of its relevance to all kinds of different disciplines, we offer our students the chance to take related courses at other departments like at language studies (information retrieval and natural language processing), artificial intelligence (machine learning for cognitive neuroscience), chemistry (pattern recognition and chemometrics) and biophysics (machine learning and optimal control).
- The job opportunities are excellent: some of our students get offered jobs before they’ve even graduated and almost all of our graduates have positions within six months after graduating.
- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Computing Science together with the specialisation in Web and Language Interaction (Artificial Intelligence). This will take three instead of two years.
See the website http://www.ru.nl/masters/datascience
- A proficiency in English
In order to take part in the programme, you need to have fluency in English, both written and spoken. Non-native speakers of English without a Dutch Bachelor's degree or VWO diploma need one of the following:
- TOEFL score of >575(paper based) or >90 (internet based)
- IELTS score of >6.5
- Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE), with a mark of C or higher
A professional data scientist has fine problem-solving, analytical, programming, and communication skills. He or she applies those skills to analyse a problem in the light of the available real-world data:
- To come up with a creative and useful solution.
- To find or program the right tool to turn the data into knowledge.
- To communicate the obtained findings to others.
By combining data, computing power and human intellect, data scientists can make a real difference to help and improve our society.
The job perspective for our graduates is excellent. Industry desperately needs data science specialists at an academic level, and thus our graduates have no difficulty in find an interesting and challenging job. A few of our graduates decide to go for a PhD and stay at the university, but most of our students go for a career in industry. They then typically either find a job at a larger company as consultant or data analysis, or start up their own company in data analytics.
Examples of companies where our graduates end up include SMEs like Orikami, Media11 and FlexOne, and multinationals like ING Bank, Philips, ASML, Capgemini, Booking.com and perhaps even Google.
Data nowadays plays a role in almost every scientific discipline as well as industry and is rapidly becoming a key driver of scientific discoveries, business innovation, and solutions for societal challenges such as better healthcare. Medical scientists are sequencing and analysing human genomes to uncover clues to infections, cancer, and other diseases. With huge telescopes, astronomers generate terabytes of data per hour to study the formation of galaxies and the evolution of quasars. Businesses like Google and Amazon are sifting social networking and user preference data to fulfill desires we don't even know we have. Police employing seismology-like data models can predict where crimes will occur and prevent them from happening.
It is then with good reason that data science has been called the sexiest job of the 21st century. Many companies complain about the difficulty to find skilled data scientists and predict this to be even harder in the future. A professional data scientist has fine problem-solving, analytical, programming, and communication skills. He or she applies those skills to analyse a problem in the light of the available real-world data, to come up with a creative and useful solution, to find or program the right tool to turn the data into knowledge, and to communicate the obtained findings to others. By combining data, computing power and human intellect, data scientists can make a real difference to help and improve our society.
See the website http://www.ru.nl/masters/datascience
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.
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.
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:
Exploiting this vast amount of data requires the following:
Therefore the program has three objectives:
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.
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.
This CILIP-accredited course produces highly employable graduates for a rapidly expanding global job market. It was developed in collaboration with external organisations across a range of sectors to make sure you gain knowledge and learn skills that employers are looking for.
You’ll learn the theory and the skills you need to support data-driven decision-making in organisations. The course covers three core areas: data management, data analysis and business insight. You’ll get hands-on experience with data management and analysis. Industry experts contribute to the course, sharing their experience and talking you through examples of data science in action.
Our graduates are not just technically proficient. They’re also keenly aware of broader issues such as data presentation, privacy and ethics. That extra edge makes them even more attractive to employers.
Effective use of information improves the world and makes a positive difference to our lives. It is also central to economic development. The rapid pace of technological change and the globalisation of markets means that organisations in all sectors must realise the value of information systems.
The world needs graduates who are information literate.
Our graduates work for all kinds of organisations, in the public and private sectors. Employers include:
Adidas; BBC; British Red Cross; Cambridge University; The Department of Health; Ernst and Young; GCHQ; Goldman Sachs; Hewlett-Packard CDS; House of Commons Library; Imperial College London; IBM; Kings College London; NHS; Pepsico; Pricewaterhouse Coopers; Stanford University
If you’re already an experienced professional, you can develop new skills and advance your career with one of our Professional Enhancement Programmes.
Our courses are research-led, which means you’ll learn about the latest concepts from academics who work with organisations to drive developments in this field. Alongside the theory and technical skills, you’ll develop some valuable attributes including effective communication, application of research methods and creative problem solving.
All our courses (except our distance learning courses) include lectures, seminars, tutorials, practical laboratory classes, group work, online discussion, case studies and lectures by visiting speakers. Our MA Librarianship course also includes visits to library and information service organisations. You’ll be assessed using a wide variety of methods including essays, reports, small projects, in-class tests, presentations, posters, group work and a research-based dissertation.
Our dedicated departmental teaching suite contains two networked laboratories with 60 computers and a 30-seat lecture room. Our state of the art iLab includes a Usability Lab and Digital Media Lab designed to collect research data into human–computer interaction.
The iSpace is an open plan, social learning area for students. It has display facilities, open-access PCs and bookable partitioned group work areas. There is Wi-Fi coverage throughout the department, and you can connect your own laptop to our network. Mobile devices and tables are available for you to borrow for project work.
We’re right in the middle of the campus and close to the Information Commons and the new Diamond building so you’ll be able to access the University’s many resources.
You can expect a mix of lectures, seminars, tutorials, practical laboratory classes, group work, online discussion, case studies and lectures by visiting speakers.
You'll be assessed using a wide variety of methods including essays, reports, small projects, in-class tests, presentations, posters, group work and a research-based dissertation.
Institute for Digital Technologies
The Institute for Digital Technologies aims to address major technological challenges, with a focus on Big Data, Interactive and Creative Media, Cyber Security, Smart Living, Green Digital Technologies, and Advanced 5G Systems.
Renowned for its teaching and research excellence, the Institute for Digital Technologies has built strong collaborations with national and international academic, research, and industrial organisations including Thales, BBC, Telefonica, IRT, and Rohde & Schwarz.
Each programme offers teaching from pioneering researchers and creative innovators, to expose students to the latest theories and developments from across the discipline. Our programmes are shaped by the principles and discoveries of our current research, and students are encouraged to participate in development projects and industry-focused work experience opportunities where possible.
For further information, see our programme page for Cyber Security and Big Data MSc
This programme aims to provide students with the very latest Cyber Security and Big Data principles, practices, tools, and techniques through analysing and evaluating practical application problems in the Cyber Security and Big Data industry and responding to important challenges the world is facing.
Our students will have a comprehensive understanding of the challenges in Cyber Security and Big Data faced by industry and society and the necessary skills to address those challenges in the most effective way. Our programme is designed to build students’ knowledge and develop their expertise in network security, cryptography, data science, and big data analytics through action-based learning, analysis and evaluation of application problems.
An essential element built in the programme is to develop our students’ employability skills that are essential to the Cyber Security and Big Data industries or related businesses, e-commerce, and governmental organisations.
Your personal development
Enterprise Through the Curriculum is an intrinsic element of every master’s programme at Loughborough University London and has been carefully designed to give students the best possible chance of securing their dream role. From employability profiling to live group projects set by a business or organisation, and from site visits to organisation-based dissertation opportunities, Loughborough University London is the first of its kind to develop a suite of activities and support that is positioned as the underpinning of every student’s experience.
Future career prospects
Our graduates will be in a very strong position to take on digital technology posts in a wide range of sectors, including Internet and cloud based businesses, finance firms, governmental organisations, consultancy companies operating in information, communication and network security, as well as those sectors dealing with massive personal data, such as health and wellbeing, where users’ privacy and data security needs safeguarding.
Graduates will also have the opportunity to enhance their knowledge and career prospects further by undertaking an MRes or PhD programme.
Speak to a programme specialist
If you'd like to know more about this programme, you can request an email or telephone call from an academic responsible for the teaching of this programme.
Scholarships for 2018 entry
Our ambition is to inspire high achieving students from all backgrounds, to benefit from our outstanding teaching and cutting edge research facilities.
Inspiring Success Scholarship
The Inspiring Success Scholarship offers 100% off the full cost of tuition fees for selected unemployed and underemployed graduates, who obtained GCSE or A-level (or equivalent) qualifications from Hackney, Tower Hamlets, Newham or Waltham Forest.
East London Community Scholarship
The East London Community Scholarship offers 50% off the full cost of tuition fees for students who obtained GCSE or A-level (or equivalent) qualifications from Barking and Dagenham, Greenwich, Hackney, Newham, Tower Hamlets or Waltham Forest.
The Excellence scholarship automatically awards high-achieving students 20% off the full cost of our master’s tuition fees, regardless of their full-time programme or nationality. To be eligible for this scholarship, students must have an upper-second class degree or equivalent qualification recognised by Loughborough University.
The Alumni Bursary automatically awards graduates of Loughborough University 10% off the full cost of our master's tuition fees, regardless of their full-time programme or nationality.
Further details about the full range of scholarships we offer are available on our website.
Join this unique qualification to become a leading, sought-after analyst, able to understand and communicate big data in social policy-related contexts.
Find out more about the Master of Analytics parent structure.
The Master of Analytics with a major in public policy is for public servants who want to be able to better understand, interpret and analyse large data sets.
The degree equips you with the technical ability and critical thinking needed to transform complex data into information that can be used as evidence for making policy.
Massey University is the only New Zealand university that offers the Master of Analytics (Public Policy).
The MAnalyt teaches fundamental data analysis tools, including data mining, statistics and econometrics in the core courses. You will then learn how these tools are applied in the public sector.
The Master of Analytics (Public Policy) teaches a critical appreciation of the complexity of data analytics including an examination of cross-cultural data analysis; methodology; ethics; systems mapping; attribution and data management.
It also introduces case studies examining the roles and possibilities of geospatial data and the use of outputs from the integrated data infrastructure (IDI). The IDI is the New Zealand cross-agency data set used by government agencies and policy makers.
At Massey University we ensure your learning is firmly based in a real-world context. To help you identify the most appropriate technique and data to address a problem, you need to understand the real challenges and context that policy makers face.
The Master of Analytics will help you understand all these things, as well as give you training in communicating your findings in a compelling way.
You will work in conjunction with an external agency on a real-world problem using the skills and knowledge you have already gained.
Block courses are held in Wellington.
The qualification can be completed in 12 months of full-time study, or over a longer period of part-time study. The programme starts in semester one of each calendar year.
You need to complete three core statistics and analytics courses and three public policy specialisation courses. The programme ends with the applied or capstone project.
The skills you will learn in the Master of Analytics meet the growing demand for graduates capable of processing, analysing and presenting data in ways that encourage informed and effective decision making. You will learn how to extract useful information from big data sets, while maintaining data security and privacy.
In 2011, Statistics New Zealand launched the IDI. It combines information from a range of organisations to provide the insights government needs to improve social and economic outcomes for New Zealanders. There are very few people skilled at using the IDI.
Postgraduate study is hard work but hugely rewarding and empowering. The Master of Analytics (Public Policy) will push you to produce your best creative, strategic and theoretical ideas. The workload replicates the high-pressure environment of senior workplace roles. 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.
Postgraduate study is not just more of the same undergraduate study. It takes you to a new level in knowledge and expertise especially in planning and undertaking research.
Transform data to change lives
Join this unique qualification to become a leading, sought-after analyst and disseminator of critical health-related data.
Massey’s Master of Analytics (Health) will equip you with the technical and critical thinking skills needed to transform data into information that can be used as evidence for making policy development and business decisions within health-related industries.
This programme has a unique focus on learning how to utilise a multi-system, multi-sector approach to answering national-level health and wellbeing questions.
This programme has been developed in conjunction with the health industry. It reflects the internationally increased focus on the analysis of big health data.There is a huge amount of data being collected in the health sector, but a gap remains in the shortage of qualified people to analyse and turn this into meaningful information that can be used to improve our health services and outcomes. Your new skills will be highly sought-after by a wide range of employers.
You may come from an information technology /data science background and have found yourself in a role in the health sector. Or you may be in a health-related role (or have a health-related qualification), but wish to gain in-depth skills in analysis of data. This qualification will help you gain the competencies you need to progress your career.
You will gain a thorough understanding of the nature of the wider health and social context in order to identify the most appropriate problem to address. Then how to develop public health research methodology that produces meaningful results for health professionals. You will hone your critical thinking skills and be able to independently develop health-related research programmes . You will be able to project manage data, from collection through to clearly conveying complex ideas or results to a non-professional audience.
Privacy of data is a high-profile issue, especially in the health sector. Fundamental to the research work expected of MAnalyt (Health) graduates is an expectation that they understand the wider legal and ethical systems in which public health operates.
In order to identify the most appropriate technique and data to address a problem, you need to understand the real challenges and context which health organisations face. At Massey we ensure that your learning is firmly based in a real-world business context including an industry-driven research project.
The importance Massey University places on health is reflected in its status as the only university in New Zealand with a dedicated College of Health. You will learn from nationally and internationally recognised health research experts.
The Master of Analytics (Health) will cover fundamental data analysis tools, including data mining, statistics, and econometrics. You will then learn how these tools are applied in a business specialisation of your choosing: marketing, finance, or supply chain management. In the last phase of study you will complete an applied analytics project, where the knowledge and skills you have learnt will be utilised to address a real-world problem in collaboration with an organisation, in this case, in the health industry.
This qualification is a 180-credit programme, so can be completed in 12 months of full-time study, or over a longer period of part-time study. It consists of 120 credits of taught programmes and a 60 credit (six months full-time) Applied Analytics project.
Postgraduate study is hard work but hugely rewarding and empowering. The Master of Analytics will push you to produce your best creative, strategic and theoretical ideas. The workload replicates the high-pressure environment of senior workplace roles. 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
Postgraduate study is not just ‘more of the same’ undergraduate study. It takes you to a new level in knowledge and expertise especially in planning and undertaking research.
Internationally there is clear demand for people with specific health analytics skills. This is predicted to grow.
Employment in the general workforce in New Zealand is predicted to grow by around 2% to 2018. Those in areas related directly to health analytics (e.g., ICT management, health services management, health analysts) are projected to grow by up to 5.3% and by 7.2% in Australia.
In the US the number of jobs specifically seeking candidates with health analytics and informatics skills leapt 36% over 2007-2011.
After completing this qualification, potential roles include:
Design Informatics combines Data Science with Design Thinking in a context of critical enquiry and speculation. We build a value-aware, reflective practice at the interface between data and society by combining theory and research with an open-ended process of making and hacking.
Human activity is being constantly shaped by the flow of data and the intelligences that process it, moving towards an algorithmically mediated society. Design Informatics asks how we can create products and services within this world, that learn and evolve, that are contextualised and humane. Beyond that, it asks questions about what things we should create, speculating about the different futures we might be building and the values behind them.
The central premise is that data is a medium for design: by shaping data, we shape the world around us. Data Science provides the groundwork for this, with Design Thinking underpinning reflective research through design. You will use this in working with the internet of things and physical computing, machine learning, speech and language technology, usable privacy and security, data ethics, blockchain technologies. You will connect technology with society, health, architecture, fashion, bio-design, craft, finance, tourism, and a host of other real world contexts, through case studies, individual, and collaborative projects. You will understand user experience in the wider socio-cultural context, through an agile programme of hacking, making and materialising new products and services.
Please be aware that the structure of the programme may change.
Throughout the programme, you will be working both individually and in teams of designers and computer scientists. Everyone will have to write code during the course, and everyone will have to make physical objects. Several courses, including the dissertation, will involve presenting the artefact, product, service, or interactive experience that you have created to the general public in a show.
In the first year, you will study:
In Design with Data and Design Informatics Project, you are likely to work with an external partner, such as the Royal Bank of Scotland, Amazon, Edinburgh City Council, Royal Botanic Garden Edinburgh or the National Museum of Scotland.
MSc and MA students then undertake a dissertation in the summer before graduation.
MFA and Advanced MSc students take a summer placement with a relevant digital organisation then return for a second year of study, comprising:
Elective courses are drawn from the Masters Programmes of the School of Informatics, Edinburgh College of Art, and Philosophy, Psychology, and Language Sciences. Courses are typically 10 or 20 credits.
This programme will put you at the cutting edge of the intersection between data science, design, and information technology, opening a host of opportunities in working with companies, charities, and the public sector. We encourage entrepreneurship. For those who wish to stay in academia, the course provides a solid foundation for a PhD in related areas.