Big data is the description used to encompass the huge amounts of data that is common to many businesses. It has been described as the next frontier for innovation, competition and productivity in business. It is essential for companies to embrace so that they can understand their customers better, develop new products and cut operational costs.
This course has been developed to create graduates who can become data scientists capable of working with the massive amounts of data now common to many businesses. It is aimed at people who want to move into this rapidly expanding and exciting area.
The modules on this course help you develop the core skills and expertise needed by the data scientist. The course can be split into three main areas, statistics, computing and management.
In the statistics section you study modules on data mining and data modelling. These modules cover the three main data areas, which are ensuring that data is reliable and of a high quality, searching the data to discover new information and presenting interpretations of that data to the end user.
The computing section covers areas related to data integration, massive datasets stored in the cloud, how data is stored and utilised within the distributed systems of an enterprise and how organisations can utilise data to change and improve business processes.
The management modules are focused on developing your core skills around professionalism and research. All of which are valuable skills during your university studies and in your career.
Our partnerships with business inform the course design, ensuring the content is relevant, up to date and meets the needs of industry. These partnerships also enable the inclusion of some leading edge software such as SAS, SAP Hana, and Hadroop within the course. You may be able to study abroad as part of the Erasmus programme.
Key areas of study
Key areas of study include • data quality and analysis • technologies to store and mine data • professionalism and research
This course includes the SAP Business Intelligence with SAP BW 7.3 and SAP BI 4.0 e-academy (UB130e). You also have the opportunity to sit the SAP certification exam and the SAS 9 base certification exam.
Full time – September start – typically 12 or 18 months
Part time – September start – typically 36 months
Choose one from :
Many jobs for data scientists, data analysts and data mining analysts are available with salaries ranging from £35,000 to £80,000.
Jobs typically list the skills to be in areas such as statistical analysis and machine learning techniques, database and programming technologies, and expertise in statistical theory, which are all areas you cover on this course.
You also gain skills and knowledge in HaDoop, MapReduce, Java, SAS, MSQL which are some of the common technologies used in data scientist roles.
This course is for people who are working as physiotherapists, who wish to develop themselves and their profession. The MSc Advancing Physiotherapy Practice aims to help you thrive in health and social contexts where the pace of change is fast and professionals need to be dynamic and proactive to meet the needs of the individuals that they work with.
The programme of study aims to be:
Full-time with attendance: 12-18 months
The full-time study route makes use of a blended mode of learning which includes face-to-face contact supported by online resources. This is designed with international students in mind and offers attractive practical modules as well as opportunities to learn in clinical settings (see modules).
The standard duration of the full-time route is 18 months. This is valuable if your priority is to use all opportunities to develop your professional standing and employability. If you wish to prioritise quick completion of your MSc Advancing Physiotherapy Practice, and meet requirements, you can accelerate it to 12 months duration.
Part-time with attendance: 3-7 years
You can study the MSc Advancing Physiotherapy Practice part-time, with a minimum duration of three years, and maximum duration of seven years. If you study this route you can select modules which involve some attendance and some online study. For example, some modules are delivered with blocks of attendance and online study between these blocks. If you study part-time you can also choose to complete distance learning modules as part of your programme.
Distance learning (part-time or full-time):
1-7 years You can choose modules that enable you to complete your MSc Advancing Physiotherapy Practice entirely as distance learning . You can study distance learning at a full-time pace (12-18 months duration) or at a part-time pace (3-7 years).
We use a range of student-centred learning methods, including tutorials, seminars and practical classes, with facilitation of work based learning and recognition of prior learning. Further specific strategies are used to enable distance learning.
Your performance will be assessed by coursework (assignments), presentations and practical examinations, and you are provided with structured support in learning how to develop and demonstrate your academic skills at a master’s level. Class sizes are usually 5-10 students.
Each module that is studied on-campus will require you to attend classes and carry out independent work. Your attendance requirements at QMU will vary between semesters of study, but contact time might average about six hours per week over one academic year; this would be higher during taught modules. Whether you are studying distance learning or through a mixture of face-to-face contact and online work (blended learning), each 30-credit module will entail around 300 hours of student work. This includes contact with tutors (online or face-to-face), supported by independent learning. When thinking about the total amount of learning, for the full-time pace of study, you will undertake 120 credits of study over two 15-week semesters, followed by your dissertation. This suggests up to 40 hours per week of study. A student who chooses to study part-time may be undertaking, for example, 60 credits of study, which would equate to about 20 hours per week of study.
The distance learning route can be studied part-time or full-time.
In order to design a flexible, clinical and supportive course, we talked with current students, former students and employers internationally. We collaborate with many physiotherapists and managers locally to create opportunities for our students to contribute to the development of physiotherapy services during their course. This ensures the relevance of their studies, their professional development, and advancement of the physiotherapy profession. The MSc Advancing Physiotherapy Practice was developed from the MSc Physiotherapy (Post- Reg) which was accredited by the UK’s Chartered Society of Physiotherapy. The MSc Advancing Physiotherapy Practice will be renewed for the same accreditation. This course does not lead to HCPC registration. However, advice is given to assist the process of registration with the Health and Care Professions Council (HCPC). Course material will also help the student to develop knowledge and skills recognised by the HCPC
This course will enable you to focus your continuing professional development in relation to clinical physiotherapy practice and physiotherapy research. It is intended to enhance your clinical, research and education career opportunities both in the UK and internationally. Gaining the qualification will increase your employment potential across the world and help you gain academic recognition in Canada, USA, Australia and other countries.