There is an established need for advanced analytical training in population health research, as explicitly stated by most funding bodies in medicine and in other disciplines. The emergence of ‘Big Data’ has focussed the minds of many on appropriate data analytic skills training. This programme which is a development from the MSc Epidemiology and Biostatistics is the only taught postgraduate programme in the UK that specialises in the analysis of observational studies, routine healthcare data, and that adopts a focus on causal inference.
The programme offers intensive training in data analytic techniques tailored to the needs of career enhancers and career changers with a focus on health. It can be studied full time over 12 months or part time over 24 months.
You will take compulsory modules, including our innovative Professional Skills for Health Data Analysts module, designed to give you the skills and experience to work effectively in research, public health or health services research. It includes, for example, ethics, academic writing for publication, consultancy, management and leadership skills.
The programme will train scientists in the cutting-edge quantitative skills needed for health research; with the proficient expertise required to be able to work in a variety of fields related to health, together with in-depth knowledge and nurtured in thinking that yields the ability to undertake robust scientific enquiry using health data of various kinds.
The programme will provide strong foundations in the skills and knowledge of data analytics with relevance to health; we will stretch students to acquire and implement advanced techniques through optional modules that will allow their learning to be tailored towards discipline-specific paths appropriate to their future planned career.
At graduation, students will find themselves at the forefront of the discipline of health data analytics, with advanced knowledge and skills appropriate to all and any careers involving observational health data.
Data and information is recognised as a central to the economic, business and cultural life of our society today. This course will equip you with the advanced information and analytic skills to thrive in the digital knowledge economy.
Whether you are already working and looking to enhance your expertise in the area of data science or you have recently graduated and want to move into roles specifically aligned with data science and analytics, this course will help you develop a comprehensive understanding of the role of data within business. You will study data governance, considering how data can be sourced, consolidated and stored securely, responsibly and efficiently. You will also explore the techniques used to analyse data, discover how data can contribute to a company's business strategy and focus on the application of data science in a specific field such as health, education or fraud prevention.
Central to the course will be the themes of security, ethics, data governance and sustainability. You will graduate with a critical awareness of the current ethical and security problems associated with the exploitation of information services and resources in organisations, enabling you to support collection, sorting and ordering of data, big data and information across a range of sectors.
In the ever changing technological world, the skills required to successfully manage and share an organisations' data, require employees that have good understanding of data issues, technology, people and business. All of these skills are addressed by modules on this course, placing you at the forefront of the emerging digital economy.
You will be encouraged to undertake projects and volunteering opportunities with outside organisations, and our expert staff will ensure your learning is highly relevant to the workplace. Industry experts and leaders in their field will further fine tune your knowledge by sharing their expertise and professional insights during regular guest lectures. Past speakers have included computing, forensic and engineering experts from KPMG, Hermes Innovation Lab and Premier Farnell. Goranka Bjedov, Performance and Capacity Engineer at Facebook, visited the School to talk about her work in ensuring Facebook's worldwide data centres are able to deliver a 24/7 service to users.
The University is home to four research institutes and 14 research centres, including the Cybercrime & Security Innovation Centre and the New Technology Institute. Findings from our research will feed into your learning to equip you with the latest thinking and industry insights.
With your combination of business awareness, management skills, technology knowledge and understanding of data science, you will be well prepared to pursue a career as a data manager across a range of sectors. The option modules available on the course will allow you to follow a route that suits your skills, aspirations and interests. Recent students from the School have secured roles with the NHS and local councils in data management and business intelligence, while others have gone on to start their own consultancy businesses. Further study for a PhD in the area of data science is also an option.
In our social media and mobile-driven world, data and digital marketing have never been more vital. Enroll in our Digital Marketing and Data Analytics online master's program to gain critical, in-demand skills and advance your marketing career. With courses in digital campaigns, branding, web and predictive analytics, social and mobile marketing, customer segmentation, and more, graduates of this program develop the digital and analytic skills you need to compete in today's insight-driven market.
In this program, you will learn how to:
The 32-credit program can be completed in one year for students choosing to take the accelerated course schedule, or in a 16-month or longer period. The program is designed to be flexible, meeting the needs of working professionals.
Ready to advance your career in digital marketing and analytics? Apply to our online graduate program in Digital Marketing and Data Analytics today.
The MA in Digital Marketing and Data Analytics can also be completed as individual certificate programs. Student have the opportunity to develop critical skills through our 16-credit graduate certificates in Digital Marketing or Data Analytics.
Our expertly designed online curriculum empowers working professionals to advance their careers in the areas of digital marketing and data analytics. According to the U.S. Bureau of Labor Statistics, the demand for advertising and marketing managers will grow by 9% over a 10-year span. With a balanced curriculum of digital-centric marketing and omni-channel customer analytics courses, graduates of the program develop digital and analytic skills that are necessary to compete in today's dynamic insight-driven marketing environment.
You can complete our 32 credit program entirely online. The program curriculum is made up of four classes (16 credits) for Digital Marketing and four classes (16 credits) for Data Analytics. The online environment provides the flexibility to meet the needs of busy working professionals. Students can choose to take between 1-3 classes a semester and can complete the program in as little as 1-year with our accelerated option.
The program allows students who are eager to gain critical, in-demand digital marketing or data analytics skills to choose one of our 16 credit certificate options. Upon completion of a certificate, students have the option to apply to continue and complete the full degree program. The certificate program is made up of the 4 Digital Marketing or Data Analytics courses.
The student learning outcomes of the Digital Marketing and Data Analytics program balance the priorities of both digital marketing and data analytics. Students will be able to:
Drawing upon Emerson's longstanding expertise in strategic communication, the Department of Marketing Communication has created a unique online master's program that equips working professionals with the cross-functional skills required to be successful in today's insight-driven marketing environment.
Our online learning and collaboration platform offers a student-centric learning experience. Enrollment in each course is capped at 20 to maintain a low student-to-faculty ratio. Smaller class sizes promote interactive learning and stimulating discussions with peers and faculty.
Students in this program are exposed to industry leading analytics software such as SAS Studio, SAS Enterprise Miner, Google Analytics, and social analytics platforms to acquire the skills to turn data into valuable insights that support better decision-making across myriad business applications.
This course produces specialist Data Scientists who can design and implement computer-analytics and visualisation solutions for industry. With an emphasis on Big Data, you will gain an understanding of the needs of businesses and how to manage requirements in this emerging international area of focus for companies, governments and economies.
The course focuses on Big Data, traditional and unconventional data management, including acquisition, storage, warehousing, analytics and visualisation tools and techniques. You’ll put these skills into practice in our state-of-the-art facilities.
Importantly, the course satisfies industry’s demand for Data Scientists who have the ability to relate key performance indicators, and contribute to business decision-making at a high level – giving you an advantage in the job market.
Throughout the course, content is complemented by practical work, allowing you to support your theoretical knowledge with practical experience in data storage, mining, warehousing, visualisation and analysis as well as transferrable skills.
The individual project provides an opportunity for applying specialist knowledge together with analytic, problem-solving, managerial and communication skills to a particular area of interest within data science. Working with the full support and guidance of an allocated Project Supervisor, you will propose, plan, specify, develop, evaluate, and present a substantial project.
You will be taught through a mixture of lectures, tutorials, labs. You will be invited to attend talks presented by highly-experienced researchers, speakers from industry, and members of the BCS (British Computer Society) on a wide range of industry-related topics. You will also be supported through our online virtual learning environment where you can access a wide variety of resources and other support materials.
Part-time September start students
Part-time January start students
A significant portion of this courses is underpinned by independent learning, and you will be expected to be responsible for managing your coursework, reading and other learning activities appropriately.
STAFF DELIVERING ON THIS COURSE
Our staff members feature in the annual Support and Teaching staff with Appreciation and Recognition (STAR) awards voted by the students and organised by RGU:Union. Recently we have been awarded two Lecturer of the Year awards and an award for Continued Excellence.
Many of our academic staff are Fellows or Senior Fellows of the Higher Education Academy or are working towards this accolade. This is a professional recognition of practice, impact and leadership of teaching and learning.
Staff on this course could also include: visiting lecturers, visiting Distinguished Researchers, library staff and industry experts and postgraduate researchers.
Typically students are assessed each year:
Students who perform particularly well during their first semester of studies will be invited to apply for any long-term placement opportunities (40-45 weeks) found by the Placement Office. Alternatively, you can seek your own long placement or a short placement. Note that permission to undertake a placement is at the discretion of the School and students who optionally go on placement also need to pay a £1000 fee.
The opportunity to exploit Big Data is recognised world-wide, and it is included in government economic strategies. The UK Government and Scottish Governments highlight it as an emerging opportunity for growth. The course prepares you for a career in Data Science or in Big Data. Job openings include: Data Scientist, Data Analyst, Data Visualisation Specialist, Data Manager, Database Designer/Manager, Data Mining Expert and Big Data Scientist. The course also prepares students for research careers by providing the skills necessary of an effective researcher. Suitable MSc graduates may continue to PhD programmes within the school.
Aberdeen is home to many multinational oil and gas companies and associated suppliers such as mainstream software houses, IT providers to major oil-related companies, specialist software consultancies, and venture capital start-ups, so graduates can seek employment locally. RGU is also involved in a number of commercial collaborations on a local, national and international scale with organisations such as BP, British Geological Survey, Wood Group PSN, Accenture, WIPRO and many Aberdeen-based software development companies, and you may benefit from the university’s links with some of these companies when it comes to securing placements or employment.
Please visit the website to find out how to apply.
The Medicine MRes is a strongly research-based programme, which gives you the training and opportunity to develop as a scientist or scientifically-literate clinician.
It can help you to gain:
You’ll get experience in formulating new hypotheses and exploring the causes and consequences of diseases by conducting rigorous scientific research in a laboratory or with patients.
A nine-month research project helps you to develop specialised knowledge, as well as design and undertake a substantial piece of publishable research. You’ll be based in one of our internationally-renowned institutes and be supervised by leading experts in their field. You can choose from a range of research opportunities in applied health, cancer and pathology, cardiovascular, genes and development, medical education and musculoskeletal topics.
The School of Medicine is a major international centre for research and education. Our ambition is to improve health and reduce health inequalities, locally and globally, through excellent research and its translation into healthcare practice, and the education of future scientific and clinical leaders who will advocate and practise an evidence-based approach.
The taught modules are designed to stimulate a deep and critical knowledge of research. The optional modules allow you to develop a comprehensive knowledge of different approaches to medical research.
The Paper Criticism module enables you to develop subject-specific skills, such as an understanding of the ethical issues of medicine and knowledge of the current requirements for the governance of medical research and its publication. You apply your knowledge of research methods to published papers and enhance your critical skills.
The Analytic Research module provides a critical awareness of research planning and methods and develops your research skills. It includes topics on the structure of analytic research investigations; the analysis of the data obtained in analytic studies, especially the metrics used; the problems resulting from bias and confounding and how they are dealt with; basic statistics of precision and comparison;dealing with unequal duration of follow-up in cohort studies; and critical appraisal of published research.
The Capturing and Handling Data in Research module is an introduction to the collection and handling of health research data. It will include topics on: social inclusion in research; sampling from populations; types of data; collecting data through questionnaires; how scales and tests are used to collect data; and how data are collected and described using various fractions such as rates, ratios, risks and odds; recording quantitative and qualitative data in suitable formats; using computers in the analysis of data; the importance of the statistics that summarise quantitative data; and an introduction to the analysis of quantitative and qualitative data. Critical appraisal of published research will underpin theory.
There are few formal lectures in the MRes programme. Most of your time is devoted to planning and conducting the research project, usually working with a small team of researchers or healthcare professionals.
Interactive tutorial sessions are shared with students on other Masters programmes in the School of Medicine, intercalating medical students and health professionals.
There is one examination in May for the Paper Criticism module. Other modules are assessed by the submission of coursework, workbooks, reports and reviews.
Exit awards of Postgraduate Diploma in Medical Research (120 credits) or Postgraduate Certificate in Medical Research (60 credits) are available for this programme.
The Master of Research in Medicine is for people who want to pursue a lifelong career in academic medicine research.
For medical students, the addition of the Medicine MRes on your CV is an advantage when applying for Academic Foundation Posts and Specialist Training Posts in the NHS.
We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.
The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.
At the local, national and global level, we are witnessing an intense period of social transformation and fragmentation. Within this context, there is growing political and policy recognition of the need to better understand and thereby address social inequalities. The social sciences have an important role to play in mapping and understanding how inequalities arise and in tackling their causes and consequences. Innovative developments in the social sciences are offering new methodological, theoretical and empirical insights into entrenched and emerging inequalities of status, resource, outcome and opportunity. This has inspired us to create an interdisciplinary programme focusing on inequality in all its forms and its social, political and economic implications.
This Masters programme equips students with the necessary knowledge and skills to engage in and contribute towards work that tackles the realities and effects of social inequality. Capitalising on academic and applied expertise in the School of Sociology and Social Policy and the Leeds Inequalities Research Network, this programme harnesses leading analytical approaches combining qualitative, quantitative and data analytic methods (in close collaboration with the School of Geography).
In addition to offering an advanced understanding of rising material inequality, the programme encourages an intersectional approach to understanding socio-economic stratification and how this links with physical (dis) ability, race, ethnicity, nationality, gender, sexuality, class and age. It provides a stimulating intellectual environment and cutting edge methodological approaches to comparing and contrasting the formation and consequences of inequalities across a range of national and international contexts. Through an examination of geopolitical and socioeconomic shifts, such as urbanisation and globalisation, students are actively supported to critically interrogate the contemporary character and extent of social inequality.
Whilst undertaking this programme, students will join a vibrant and dynamic research led teaching and learning environment in the School of Sociology and Social Policy. You will benefit from the interdisciplinary expertise and extra-curricular activities hosted by the School and its research centres including those in Disability Studies, Ethnicity and Racism Studies, Interdisciplinary Gender Studies and Research into Families, the Life Course and Generations. You will also access events through the Leeds Social Sciences Institute (LSSI), which fosters cross-departmental collaboration, learning and impact, Students will also benefit from workshops on global inequalities by academic leaders from across campus and research seminars with external speakers; along with career development opportunities and events. As such, students can take advantage of academic and applied expertise both within and beyond the University whilst also developing specialist knowledge and transferable skills for their future career development in the public, private or third sector.
The programme bridges disciplinary divides to provide a detailed understanding of the ways in which social inequality manifests across diverse communities and contexts at the national and international level. It offers insight into the character, causes and consequences of social inequality, as well as forms of resistance and policy responses. It has a strong and innovative methodological focus, including traditional qualitative and quantitative approaches to the social analysis of inequality, as well as new approaches to data visualisation and analytics from across the social sciences. The programme uses a range of teaching methods, including lectures, seminars and workshops, complemented by a range of co-curricular activities partly facilitated through the Leeds Inequalities Research Network.
The core modules of the programme introduce students to contemporary research on global inequalities of social difference and disadvantage, emphasizing a diversity of theoretical and research design strategies, including international evidence surrounding the shifting nature and extent of inequality. Students are able to tailor the programme according to their interests and needs by choosing from a specially selected range of optional modules, which address major social and economic inequalities across diverse social science subjects and substantive issues. As such, students can choose to develop in-depth specialist knowledge on a particular area and/or focus more generally on the social processes and arrangements that give rise to inequalities.
PLUS TWO OF THE BELOW:
We use a range of teaching and learning methods including presentations, seminars, workshops, tutorials and lectures. However, independent study is crucial to this degree – it allows you to prepare for taught sessions, develop your research interests and build a range of skills. This is particularly the case for the dissertation/applied project module of this programme.
Supported through workshops and supervision, students develop their research dissertation or an applied project in partnership with external organisations. This offers students an exciting opportunity to gain experience of applying their knowledge and skills to policy and practice.
Your core modules will be assessed using essays. Optional modules may use other forms of assessment that reflect the diversity of the topics you can study, including presentations, book and literature reviews, research proposals and reports among others.
This programme prepares students for policy, research and applied careers across the private, public and third sectors. The interdisciplinary and dynamic nature of the programme equips students with the critical, analytical and methodological skills to deploy their specialist expertise in a clear, efficient and effective manner. You will develop transferable skills in research, analysis and communication, as well as in-depth knowledge that can be applied across a range of domains and contexts.
Due to the rigorous and applied nature of our teaching, graduates might pursue careers across a diverse range of organisational settings such as in government, NGOS, charities, think tanks, social enterprises and business. The programme also offers excellent development opportunities to pursue a career in social research or undertake research at PhD level.
Business Analytics is the intersection of management science and machine learning in real world applications.
It offers new potential to improve financial performance, strategic management and operational efficiency.
Business Analytics is an increasingly critical component in preparing organizations to solve 21st-century business challenges and support data driven decision making.
Our MSc Business Analytics programme is a one year, full-time programme consisting of 6 core modules, and 2 elective modules from a choice of 7 elective modules.
The core modules are conducted via lectures, tutorials, and computer laboratory sessions. Students undertake the dissertation project in Business Analytics in collaboration with one of our international industrial partners.
Graduates of the programme will have gained the necessary skills and knowledge in a range of fields, including business operation, database, statistics, informatics, data analytics, machine learning and big data technologies in real-world business contexts.
Applicants for this programme are required to have at least a second class honours in the first division or international equivalent in any discipline, including business and management, and at least 10 credits equivalent value with significant mathematical/statistical content (However, this course is not suitable for students who have previously studied a significant amount of business analytics).
Our learning environment is highly interactive and innovative with student-centred learning activities.
Other than examinations, our students will be assessed via essays writing, practical exercises, group and individual projects, and oral presentations.
The dissertation focuses on developing students’ skills in applying analytic techniques, communicating and solving the data analytics problem.
The area of business analytics is growing in financial sectors, customer services, enterprise optimization, and consumer marketing.
When our students graduate, they will be able to:
What are the potential careers of our graduates?
This exciting new course is the first in Scotland to be run in partnership with SAS, a global leader in business analytic solutions. It has been developed in close collaboration with leading financial services organisation HSBC and The Data Lab, to produce graduates with the skills that industry needs.
The course addresses the acknowledged shortage of business leaders and managers with a detailed working knowledge of data analytics. It provides students with a deep understanding of the industrial and scientific relevance of advanced analytics and their application in strategic and operational decision making. In doing so it develops graduates with highly sought after blend of data analytics, business acumen and advanced management skills.
The course gives you the opportunity to develop specialist skills by choosing elective modules from finance, marketing, data science and management. You’ll work in real life consultancy-style projects alongside industry leaders in data analytics. Our extensive network of external organisations across all sectors provides opportunities to build your knowledge, skills and experience for a successful career in business analytic roles.
-Degree type: MSc
-Study methods: Full time, Campus based
-Duration: 12 months
-Start date: September
-Location: Stirling Campus
Begin your course in the best possible way, with our unique Flying Start Leadership programme. It’s exclusively for new students about to start one of our postgraduate courses. You’ll take part in a wide range of group and individual activities, workshops and information sessions to help you prepare for the year ahead, and make the most of your time at the University of Stirling Management School.
Attend the Flying Start Leadership programme and you will:
-Discover more about the exciting period of learning ahead.
-Understand what is expected of you in your course.
-Get to know the teaching and support staff.
-Learn more about a diverse range of approaches to learning.
-Work as part of a successful team.
-Develop your personal goals for the year ahead.
Activities range from practical skills – such as effective public speaking – to developing ways to work in groups with other students. The programme is also a chance to discover all that the University and the vibrant city of Stirling has to offer, and to make new friends.
The University of Stirling Management School is recognised as a centre of academic excellence that offers innovative scholarship and widespread engagement with a variety of stakeholders to improve and transform business, society and lives.
The rigour and relevance of the School’s research is represented in the way projects are sponsored and funded by leading domestic research institutes as well as international bodies who value the research expertise offered.
If you don’t meet the required criteria for this course, you can complete the Graduate Diploma in Business, Finance and Sport to gain a guaranteed entry onto this Master's degree.
INTO University of Stirling offers a Graduate Diploma for those students who do not meet the required criteria for this course. If you successfully complete the Graduate Diploma in Business, Finance and Sport and meet the required progression grades, you will be guaranteed entry onto this Master's degree.
If English is not your first language you must have one of the following qualifications as evidence of your English language skills:
-IELTS: 6.0 with 5.5 minimum in each skill.
-Cambridge Certificate of Proficiency in English (CPE): Grade C or above.
-Cambridge Certificate of Advanced English (CAE): Grade C or above.
-Pearson Test of English (Academic): 54 with 51 in each component.
-IBT TOEFL: 80 with no subtest less than 17.
This MSc Research Methods in Psychology (RMP) Master’s programme is designed to equip you with a wide range of methodological skills to enable you to become a successful PhD student or professional researcher in psychology. The programme provides advanced training in a variety of research methods and data analytic techniques. The main aim of this master's in research methods in psychology is to equip you to conduct research in your chosen field that is of high quality and impact. We have designed a programme in which you apply the skills you are taught to your own research questions. Therefore, in addition to classroom instruction, you will receive structured support as you develop your research questions, plan and execute the research, analyse the data, and prepare reports describing your findings.
This is the course page for MSc Research Methods in Psychology at the University of Southampton. Find out everything about Research Methods in Psychology and what studying here involves.
In this course page we explain a range of key information about the course. This includes typical entry requirements, modules you can take and how assessment works. We also suggest career opportunities open to you as a University of Southampton graduate of MSc Research Methods in Psychology.
If you still have questions, please get in touch and we’ll be happy to answer any enquiries. See our contact us page for our telephone, email and address information.
All master's in research methods in psychology students complete eight modules in two semesters (eight months), which cover the theory, practice and context of a wide range of research approaches, using a combination of lectures, workshops, small group discussions, collaborative group research projects, and independent study. Students receive personal guidance and feedback from experts in the methods used and the research topics in which the student wishes to specialise. Assessment on this MSc Research Methods in Psychology programme is based entirely on substantive pieces of research-related work carried out on in the student's area(s) of interest. Students taking the MSc then complete a further piece of independent research (four months).