The Data Science Program will prepare you to design and build data-driven systems for decision-making in the private or public sector.
The digital revolution brings with it an explosion of data that carries significant potential value for businesses, science, and society.
As data becomes easily available as never before, so too does its volume grow, and extracting useful quantitative insights becomes more and more challenging.
The curriculum will guide students from modeling and theory to computational practice and cutting edge tools, teaching skills that are in growing global demand.
Data Science students will be armed with a solid knowledge of statistical and machine learning methods, optimization and computing, and the ability to spot, assess, and seize the opportunity of data-driven value creation.
Students will learn how to apply classroom examples using real data and answering concrete business questions from the perspectives of different industries. Through an independent master's project and the opportunity for industrial practicum work conducted with local businesses, students can have the opportunity to solve actual analytics problems hands-on.
Our courses are taught by leading academics and researchers in the fields of Economics, Operations, and Statistics, as well as experienced professionals from the analytics industry.The program also invites guest speakers and entrepreneurs working at the frontiers of the Data Science.
Upon successful completion of the program, students will receive a Master Degree in Data Science awarded jointly by Universitat Autònoma de Barcelona (UAB) and Universitat Pompeu Fabra (UPF). The degree requires the successful completion of 60 ECTS (European Credit Transfer System) credits of graduate courses (6 credits are equivalent to a 40 hour course), some compulsory and some elective. The students' final program must be discussed with and approved by the Master Director.
Examples of recent professional placements:
Data Science is a rapidly developing field of study within both academia and industry. Its interdisciplinary nature ensures its wide application domain. This MSc Data Science aims to prepare students for a successful career as a data scientist or business analyst working in any profession where large amounts of data is collected, hence there is a need for skills in data acquisition, information extraction, aggregation and representation, data analysis, knowledge extraction and explanation. These type of skills are typically in high demand in IT business, security and health sectors, intelligent transport, energy efficiency and the creative industries.
More generally data and analytics capabilities have developed rapidly in recent years. The volume of available data has grown exponentially, more sophisticated algorithms have been developed, and computational power and storage have steadily improved. Most companies, however, are not capturing the full potential value from data and analytics because they do not have the required expertise. Consequently, the MSc Data Science aims to address these challenges by providing a firm grounding in the core disciplines of data analytics and information processing, partnered with a broad appreciation of aspects of other disciplines where data science can form natural synergistic relationships.
Ulster University academics are actively involved in both research and teaching and this ensures that the developments accrued through research can feed into the teaching of students. A high percentage of staff are members of the Higher Education Academy, and all staff are expected to have a Postgraduate Certificate in University Teaching or equivalent. All Computing courses are subject to periodic Faculty Review and University Revalidation.
The key message from employability and work-related learning initiatives is that enhancing opportunities to develop work-related learning and employability enhances the learning of the subject being studied. We understand the importance of including real industrial and commercial contexts to our student's experience, so this MSc Data Science will pursue opportunities for industrially linked teaching material and student project work. In this regard, we will utilise our business and industry links to facilitate an industrially relevant student project. Such projects create valuable experiences for the student, and additionally, they can also help to build new and ongoing collaborations with departments and companies, with the potential to tap into funding streams designed for industry-academic research and development.
A recent statement from Ulster University’s Careers Office indicates that Data analysts are in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education. Data analysts can work in large companies such as the ‘big four’ consultancies or financial services firms, or consumer retail firms, small and medium sized businesses such as marketing agencies’ or the public sector.
The Masters of Science degree program in Business Analytics (MS-BA) is designed to meet the rising national and international demand of businesses for professionals who can collect, analyze, and interpret the avalanche of data created in the context of economic activity.
This unique program will:
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: