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.
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 degree 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.