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.
Demand is growing for high value data specialists across the sciences, medicine, arts and humanities. The aim of this unique, modular, online distance learning programme is to enhance existing career paths with an additional dimension in data science.
The programme is designed to fully equip tomorrow’s data professionals, offering different entry points into the world of data science – across the sciences, medicine, arts and humanities.
Students will develop a strong knowledge foundation of specific disciplines as well as direction in technology, concentrating on the practical application of data research in the real world.
You can study to an MSc, Postgraduate Diploma, Postgraduate Certificate or Postgraduate Professional Development level.
Our online learning technology is fully interactive, award-winning and enables you to communicate with our highly qualified teaching staff from the comfort of your own home or workplace.
Our online students not only have access to the University of Edinburgh’s excellent resources, but also become part of a supportive online community, bringing together students and tutors from around the world.
You can study to an MSc, MSc with Medical Informatics specialism, Postgraduate Diploma, Postgraduate Certificate or Postgraduate Professional Development level.
Find out more about the compulsory and optional courses in this degree programme. We publish the latest available information for this programme. Please note that this may be for a previous academic year.
These credits will be recognised in their own right for postgraduate level credits or may be put towards gaining a higher award such as a PgCert.
The modular course structure offers broad engagement at different career stages. Individual courses provide an understanding of modern data-intensive approaches while the programme provides the knowledge base to develop a career that majors in data science in an applied domain.
This programme is intended for professionals wishing to develop an awareness of applications and implications of data intensive systems. Our aim is to enhance existing career paths with an additional dimension in data science, through new technological skills and/or better ability to engage with data in target domains of application.
There’s a global consensus on the idea that data stand as the coin in today’s business landscape, and will be the driver shaping the fourth industrial revolution.
Indeed, in the current so-called second machine age we are seeing the rise of new types of business models, corporate competences, customer-focused processes and managerial skills build around data science.
Companies require professionals that understand that data management and business analytics are deeply embedded in both traditional business models transitioning to new competitive approaches and digital natives alike.
Experienced data scientists, instead of digital newbies, will be playing a key role in leading corporate growth in the years ahead, understanding industry-specific drivers of success and leading the information-based transformation.
Why study MDSBA at Aspire Business School?
The ASPIRE Master in Data Science and Business Analytics has been designed to provide a cutting-edge perspective on how data analytics and information-based management is key in leading corporate success. The program content combines a deep specialization with an applied perspective on how data affects traditional and new business models, supported by an outstanding base of professionals with real experience in a variety of industries and corporate processes.
The Aspire’s MDSBA focuses on a set complimentary goals.
The methodology used in the programs of ASPIRE is based on the combination of practical training and theoretical knowledge, and further requires the active participation of students with their opinions and views. Based on this, all participants are encouraged to analyze and solve case studies based on real and simulated business situations for training purposes. The Student participation and teamwork are an essential element in the development of the program. This deepens and enriches the training, as it complements the diversity of opinions and experiences of the participants. In this sense, good teamwork is essential in the development, preparation and presentation of the Business Plan as the FMT project in which all the skills and knowledge acquired during the development of the program are integrated. The project encourages the ability to develop strategic vision and entrepreneurial spirit of the Student.
Using a virtual campus provides permanent access to all the resources needed for learning, in addition to update information on the planning of courses, assessment of student progress and direct contact with the teaching staff.
Aspire is committed to provide students with global education, and we believe that financing can help attract best-in-class students who are ambitious and deserve a merit-based scholarship. For incoming students, these scholarships are granted after careful consideration, including academic merit and the social-economic status of a student. The amount awarded is at the discretion of Aspire Business School Barcelona administration but cannot exceed 50% of the annual tuition fees of the program. All national, international and transfer students are eligible for the following grants. You can apply for ONE scholarship only, so we recommend that you review the conditions of each option carefully.
Women in STEM Scholarship
Open to: WIS Scholarship is awarded to exceptional female candidates whose academic and professional merits help them to demonstrated leadership in their community, academic institution, or place of work.
Candidates will be considered based on their Personal Statement where the applicants will need to describe how pursuing the studies at Aspire will affect their career and personal life. Candidates should also describe their understanding of why women must be part of business life.
Open to: Students who can demonstrate excellent academic or professional results related to the career of their choice.
Candidates will be considered based on recommendation letters from former professors or colleagues and on their Personal Statement where the applicants will need to describe how pursuing the studies at ABS will affect their career and personal life. Candidates should also describe how the academic merit and professional success has provided them with leadership potential.
Please choose your scholarship and then email the completed corresponding application form to your admissions officer or at email@example.com with the rest of the documents required for admission. Please also include:
A copy of your most current CV or provide us with a brief history of your previous employment or work placements/internships.
Please attach any relevant supporting documents to strengthen your application (e.g. job references, professors’ references, transcripts). All references and any supporting documentation must be sent as part of your full application.
The MSc Data Analytics for Business is developed with industry, this course will give you the analytical and technical skills needed to maximise the big data revolution. You will learn key management techniques and how to apply these to improve practice.
This brand new course will engage you with the latest sector thinking. You will have access to our breadth of knowledge across the School of Science and Technology, and Nottingham Business School - giving you an exciting opportunity to enhance your skills and career progression.
The majority of this course is online learning with 3-day study blocks once every 12 weeks (running Thrusday-Saturday) where you would attend on campus and meet fellow colleagues. These dates will be scheduled in advance to help you to schedule your time accordingly.
The work-based project will provide you with a three to six-month project directly related and relevant to your business or company objectives. Working with the academic university team and in consultation with your employer, you will develop a unique project based on your workplace and academic study.
Visit us on campus throughout the year, find and register for our next open event on http://www.ntu.ac.uk/pgevents.
Artificial Intelligence and Machine Learning, Big Data. New technologies and ways of working are changing the way we make decisions.
This programme will take your career to the next level and develop your ability to confidently make high impact businesses decisions that are driven by data.
The programme focuses on two key areas: analysing business data, and solving business challenges analytically. Optional modules allow you to further specialise in areas such as the economic, managerial or finance aspects of the subject.
Furthermore, you will benefit from hands-on experience of a wide range of analytics software such as simulators and mathematical tools.
The programme is studied full-time over one academic year. It consists of eight taught modules and a dissertation.
Example module listing
The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
Business analytics students often pursue careers as consultants, researchers, managers, and analysts.
You will get hands-on experience using a wide range of tools in the course. An indicative list of the software tools is as follows:
This programme is run in cooperation with IBM.
The programme’s aim is to provide a high quality education that is both intellectually rigorous and at the forefront of management science research, relevant for problem solving and decision making by managers.
It will respond to the emergent needs of corporations and academia for professionals who are able to work with analytical tools to generate value from available Information depots and take advantage of the vast amounts of data now provided by the modern ICT and ERP systems, which underlie the operations of modern corporations.
The programme will implant understanding of the theoretical base around knowledge management and knowledge work, practical skills and experience in using analytical software tools.
It will allow future professional managers and consultants to cope with an increasingly complex and global operational environment of the modern corporation.
Completion of the programme will provide a sound foundation for those considering continuing their academic development towards a PhD degree in the management disciplines.
The programme is structured in a way that would provide students with a choice between a more quantitative intensive track of modules or a qualitative analytic (business development track) which would reflect students’ personal strengths and preferences and match future career aspirations.
The compulsory modules provide a sound foundation which builds an analytical skillset using relevant statistical and management theories, and supports the development of practical hands-on experience applying the theoretical aspects using real-world data to address corporate challenges and find solutions to actual problems.
The readings in the module will build a sound basis which would allow students to access and understand the academic literature and undertake empirical investigations in the areas of decision modelling and business development.
We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.
In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.
Surrey Business School is accredited by the Association to Advance Collegiate Schools of Business (AACSB) and by the Association of MBAs (AMBA).
Our intensive MSc Psychology (Conversion) programme is designed to provide students with a grounding in the theories and research practice of contemporary psychology.
It is accredited by the British Psychological Society (BPS) and places particular emphasis on the application of psychology to real-world problems, based on a combination of pure and applied research.
This competitive programme is aimed primarily towards people wishing to pursue a career in any field of psychology. It prepares students for their professional journey by helping them develop a broad knowledge base across the key areas of psychology in a contained period of time.
As a student, you will learn about the core areas of psychology, such as social, developmental and cognitive psychology, biological bases of psychology, and individual differences.
In addition, you will acquire statistical and research methods skills needed to conduct, under expert supervision, your independent research project on a topic of your choosing.
This programme is studied full-time over one academic year. It consists of eight taught modules and a dissertation.
Altogether, the MSc is worth 180 credits:
Example module listing
The following modules are indicative, reflecting the information available at the time of publication. All modules are core, there are no elective modules, and modules may be subject to change.
The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:
Knowledge and understanding
Intellectual / cognitive skills
Professional practical skills
Key / transferable skills