Have you ever wanted to ‘Mung’ data? Apply Machine Learning techniques? Search for hidden patterns? Be part of Big Data?
This course is your opportunity to specialize as a Data Scientist, one of the most in demand roles across all sectors including health, retail, and energy. Companies such as Google and Microsoft, and also public organisations such as the NHS are struggling to fill their vacancies in this field due to a lack of suitably qualified people. This course is unique in the UK in that it has been developed as a MSc conversion course – if you have a good honours degree in any discipline with a demonstrable mathematical aptitude, an enquiring mind, a practical and analytical approach to problem solving, and an ambition for a career in data science; then this course is for you.
During your time with us, you will develop an awareness of the latest developments in the fields of Data Science and Big Data including advanced databases, data mining and big data tools such as Hadoop. You will also gain substantial knowledge and skills with the SAS business intelligence software suite due to the partnership of the University with the SAS Student Academy.
"We are especially pleased to endorse the new MSc in Data Science. With the explosion of interest and investment in data science teams, our customers cannot get enough graduates with SAS-based analytical skills. Courses such as this new MSc are an important step forward by the University to addressing this skills shortage, especially amongst home students." - SAS
This course covers a very comprehensive range of topics split in to four large modules worth 30 credits each plus the MSc Project worth 60 credits. External speakers from blue-chip and local companies will give seminars to complement your learning, that will be real-world case studies related to the subjects you are studying in your modules. These are designed to improve the breadth of your learning and could lead to ideas that you can develop for your MSc Project.
The course is focused around the underpinning knowledge and practical skills needed for employment within the data sciences industry. There will be 22 hours of lectures; 11 hours of tutorials and 22 hours workshops; 2 hours of examination-based assessment; and 245 hours of independent study, assessed coursework and preparation for examination. This makes a total of 300 hours total learning experience.
A recent report by e-Skills and SAS (Big Data Analytics: An assessment of the demand for labour and skills, 2012-1017) indicates the demand forecast for staff with big data skills is predicted to ”rise by 92% between 2012 and 2017, and by 2017 there will be at least 28,000 job openings for big data staff in the UK each year…”
With this qualification, you’ll be equipped with the skill set and technical knowledge relevant for the data science and big data job market.
The Informatics Research Centre in the School of Computing, Science and Engineering at the University of Salford builds on the history, success and achievements of the research in Computer Science and Information Systems developed at the University of Salford over the last thirty years.
Evolving around Data and Information in all their types and usages, the Centre covers all phases and processes from data pre-processing to engineering and visualisation. The Centre is developing novel methods and systems for the analysis and recognition of various data sets, learning behaviours and causal models. The techniques and systems developed have a wide range of potential applications including digitisation of historical documents, medical diagnosis, semantic tagging, segmentation of types of viewers and their behaviours, text mining and retrieval and data visualisation.
Forensic computing, digital investigation and Cyber security is another area of expertise supported by the centre both at the theoretical and application levels.
Many students go on to further research in the fields of:
Facilities include a new Dell Cloud Computing platform with OpenStack and lab workstations, providing access to software platforms and languages specialized in Machine Learning, Data Mining, Statistical Analysis and Big Data including:
Learn how to overcome the major challenges facing industry, business and the public sector today, and influence the decision-making processes of the future.
We run a core module on Data Analytics which will introduce students to SAS Enterprise. A coursework prize for this project will be sponsored by SAS.
Recent highlights included a case study run by British Airways, a presentation from SAS on the Future of Analytics and ongoing dissertation projects with Unilever and LBM.
Assessment varies depending on course units taken. It may include a combination of course work, group project assessment and presentations, report, assignments, in-class tests and examination. The dissertation normally ranges between 12,000 and 25,000 words.
During the course you will be taking 180 credits in all. The eight taught modules during semester one and two total 120 credits and consists of both compulsory and optional taught units which can be viewed in the list below.
The core courses unit introduce you to mathematical principles and practical tools for Optimization, Decision Making, Data-Mining, Statistical Analysis, Simulation and Risk Analysis. Specific software packages include SAS, SPSS, Minitab, AMOS, Eviews, Excel, Excel Solver, SIMUL8, iThink, Risk Solver, IDS.
Over the summer period, you will carry out your Research Dissertation, worth 60 credits. Examples of recent dissertation project topics include:
Contact us for further information on scholarships available .
There are many potential career roles for postgraduates with an understanding of analytical approaches in business and management - including job titles such as operational research analyst, systems analyst, risk analyst, financial analyst, performance analyst, business analyst, marketing analyst, business modeller, and operations, logistics, production, project, risk, quality, performance, or general manager. Employers include general and specialist consultancies, the finance, retail and manufacturing sectors, government analytics units, defence and major 'solution providers' in IT systems, outsourcing and telecoms.
In many of these areas an MSc is generally accepted as highly desirable for developing an initial career in the field. In addition to preparing you for specialist professional work, the course is also a valuable preparation for further study and for research degrees.
Developed to meet the demand for data science professionals, our postgraduate Data Analytics course enables you to effectively structure, analyse and gain insight from a wide range of complex data across different industries.
Designed in close consultation with industry partners including the NHS Business Services Authority, Teradata, BT, SAS, the Pensions Regulator and local Brighton companies, your learning is informed by current business developments through case studies looking at real-world data sets, research questions and scenarios. You have the opportunity to collaborate on projects with our industry partners, and can also use your own data, project ideas and industry links.
Guest lecturers will share their knowledge and expertise with you, such as Tom Khabaza who is a founding chairman of the Society of Data Miners, author of 9 Laws of Data Mining and was involved in designing the course.
You will develop a skill set in specialist data analytics and associated software, quantitative methods and techniques, and business intelligence. Our staff are experts in their field and you have the chance to develop your knowledge in specialist areas where we have ongoing research and expertise, such as sequential forecasting, natural language processing and image processing.
Whether you are a recent graduate or an experienced professional wanting to gain data analysis skills, this course is available on a full or part-time basis to help you manage your studies around other commitments.
The course covers three main areas:
You will learn how to assess project viability, propose sound business cases and strategies for analysis, perform and oversee analysis and manage large data projects successfully as well as developing your critical appraisal and presenting techniques.
Based at our Moulsecoomb campus, you will have access to computer and research labs equipped with specialist, sophisticated software including SAS, SPSS Statistics and SPSS Modeller. Affordable student licences for home use are also available.
With a flexible timetable to suit full-time or part-time students and commuters, and lecturers available to support you in your module choices, there are different study routes available to you.
You will study five core modules. One of these involves a major project, potentially in collaboration with industry. You will also choose option modules, subject to availability, allowing you to focus on particular areas of interest.
*Option modules are indicative and may change, depending on timetabling and staff availability.
A wide variety of organisations draw upon data analytics specialists to help produce valuable information for decision-making, for example commodity price forecasting, customer intelligence, clinical trials, R&D and many other areas utilising large amounts of data.
Graduates are able to choose from a range of private, governmental and academic roles, depending on their personal interests. Some of our full-time students find a full-time job and switch to part-time study in the middle of the course.
Graduate destinations include:
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.
Our new Master’s programme in Logistics, Data Analytics and Supply Chain Management is designed for those considering broadening their knowledge beyond their existing discipline and securing a career in logistics, supply chain and transport field.
The programme is designed with inputs from logistics and supply chain professionals and focuses on the integration of data analytics techniques relating to this business field.
You will develop your understanding of topics such as:
You’ll also be able to tailor your studies to emerging areas of interest, or your career aspirations; we offer a wide range of optional elective modules as part of our extensive postgraduate management portfolio. You will further develop your intellectual and employability skills (critical thinking, communication, team work, problem solving) by accessing the Faculty’s Career Booster professional development programme.
The programme has been accredited by The Chartered Institute of Logistics and Transport, and offers full exemption from the education requirements for Chartered Membership (subject to a pass mark of 50% or above).
We are proud to be in an elite group of business schools to hold the triple accreditations of Equis, AMBA and AACSB, often referred to as the "Triple Crown".
We use SAS, one of the world’s leading industry standard data analytics software as part of this degree to train students.
SAS are one of our strategic partners and acknowledge this programme. They are advocates for our students gaining experience with the software, which is used widely in the business world.
"I am glad to see that University of Bradford are delivering a programme that emphasises the value of Data Analytics within the logistics sector. There is no doubt that we are seeing a growing need at Hargreaves Logistics Group for individuals that possess data analytics skillsets in the logistics and supply chain management field."
Andrew Spence-Wolrich, Managing Director, Hargreaves Logistics Group.
The School of Management is based at the historic Emm Lane campus, set in 14 acres of beautiful parkland in a leafy suburb of the city - just a short bus ride away from the University's City Centre Campus.
We have our own dedicated teaching and learning facilities, library and other specialist support services to ensure you get the most from your time here.
Following a multi-million pound redevelopment in 2010, the campus brings together Victorian architecture with an award-winning sustainable building featuring a Harvard-style lecture theatre and atrium space for eating, drinking, socialising and working.
One of the University of Bradford's goals is to equip all our students with the attributes and capabilities to be confident and capable in their life beyond university.
During your time studying at the Faculty of Management and Law you will have the opportunity to take part in our Career Booster Programme.
The programme is designed to equip you with the necessary skills and graduate attributes to be job-ready when seeking employment with leading innovative organisations. The Career Booster Programme (PDF, 2.8 MB) offers you the opportunity to gain certificates in:
In addition, the programme will also include activities to promote teamwork, confidence, communication and many other skills sought by employers.
Developing a portfolio of Continuing Professional Development (CPD) Certificates will demonstrate to employers that you are not only ambitious but also take responsibility for your own professional development.
Students have an opportunity to broaden their international experience by taking part in study tours embedded alongside our programmes throughout the year. These tours are provided by the Faculty where all expenses are covered. Previous tours have included trips to Bahrain (Ahlia University) and Qatar (Qatar University).
These tours help our students to gain knowledge about international business and entrepreneurship, as well as providing opportunities to practice and develop communication and interpersonal skills. Students are given a hands-on opportunity to apply the knowledge they have gained in class, all whilst becoming more aware of diverse cultures and strengthening international relationships.
Students take part in a dynamic mix of both theory and practice-related activities including: interactive problem-solving workshops, company visits, talks by guest speakers (from the public and private sector), cultural visits, and social activities.
The Effective Learning Service (ELS) is a dedicated facility within the Faculty of Management and Law, established to support our students to maximise their academic learning (eg assignments and examinations) as well as help overseas students adapt quickly to UK academic requirements.
The ELS provides a huge range of services, including various workshops run during term time, 1-1 consultations and vast printed and online resources to cater for every possible development area.
The strong research culture of the School of Management faculty informs the teaching and learning of our students.
Our extensive industry networks provide the avenue for application of this knowledge.
Modern society is highly data-driven. Everything is monitored and measured, yet there are major challenges to finding optimal ways to design research, analyse data, and extract the most valuable information.
This selective Master’s programme combines the research expertise of the following departments at Utrecht University (UU) and the University of Twente (UT):
This programme therefore also has two main study locations you can choose from, that is, either Utrecht University or the University of Twente. The collaboration between these departments provides you with an exceptionally broad range of internship opportunities and thesis topics focused on the following fields: Behavioural Sciences | Biomedical Sciences | Social Sciences
The programme is recognised as a high quality programme and has been awarded high ratings in the past years by established rankings in the Netherlands.
Through the programme’s cutting-edge research in methodology and statistics, you will acquire the knowledge and skills needed to carry out fundamental and applied research at the level of a PhD project. This two-year Master’s programme provides you with answers to questions such as:
You will also develop your ability to consult with applied researchers on a wide range of methodological and statistical issues. During your studies, you will select a specialisation in the behavioural, biomedical, or social sciences, which you will explore in depth through electives and (the preparation for) your Master’s thesis.
Every year, students are invited to participate in the organisation of conferences, through which they have the opportunity to interact with scientists from around the world. In addition, there are opportunities to take electives abroad.
The Methodology and Statistics programme prepares you for a scientific career in academia, research institutes, government organisations, NGOs, or private enterprises. Utrecht University, University Medical Centre Utrecht, and the University of Twente maintain strong partnerships with various non-academic institutions, such as CITO, CentERData, CBS, TNO, UMCU, LSAC, CTB, ETS, AMC, SAS, Ministry of Education, Ministry of Social Affairs and Employment, Stichting Arq, Dutch Inspectorate of Education, Danone, and Ex:plain, which provide excellent career prospects for our students. The majority of our graduates obtain positions as PhD students either in one of the three departments that coordinate this Master’s programme or in other related departments in the Netherlands or abroad.
You can prepare for and write your thesis at one of the three participating departments, or you can broaden your experience by working with other organisations, such as Statistics Netherlands, CITO, Social Cultural Planning Office, TNO, Research Centre for Examination and Certification, or UMCU.
Through this Master’s programme, you will develop the skills and knowledge to function as a qualified practitioner who is ready for PhD training or a research career outside academia. You'll learn how to:
You will be fully equipped with the academic skills and knowledge necessary for your future career.
This programme is for future leaders in logistics management, supply chain management, operations management or purchasing, whatever career stage they are at.
The course is accredited by the Chartered Institute of Logistics and Transport (CILT). Strongly practical in focus, this MSc will equip you with a formidable set of analytical, technical, creative and collaborative skills; vital for your future professional career. The programme takes in both traditional and digital-age manufacturing as well as service industries and is, therefore, relevant to a wide range of organisations. During the course there are opportunities to gain practical experience and use industry-leading tools such as SAP and SAS.
Our strong connections to industry and government ensure that your learning has a highly practical focus, both in teaching and in the three-month live business dissertation project. Our lecturing team consists of practitioners as well as academics. The programme includes guest lecturers from industry to enhance the experience and provide you with the opportunity to interact with real-life businesses. For those seeking a global career, this programme provides a fantastic opportunity.
You will study a range of modules as part of your course, some examples of which are listed below.
Information contained on the website with respect to modules is correct at the time of publication, but changes may be necessary, for example as a result of student feedback, Professional Statutory and Regulatory Bodies' (PSRB) requirements, staff changes, and new research.
Learn how to gain insights and understanding from large data sets by using statistical methods, and how to apply these to business problems. Through this MSc, you’ll develop an understanding of the role of an analyst within an organisation, improve your business acumen and communication skills, and get commercial/research experience for your CV through your project and dissertation.
You will study four compulsory modules to give you an overview of key business areas, and take four optional modules of your choice available through various study routes on this one-year course. Please note that availability and delivery modes may vary. Assessment is usually a mix of exams and coursework. Your project and dissertation will either be as a consultant to an organisation or as applied research.
We support the learning of multiple programming languages with access to a variety of interactive online materials, covering SAS programming (provided by the SAS Institute), R and Python (provided by Data Camp).
Working as a consultant tests your ability to assess a problem and adopt the best approach to tackling it, as well as your client liaison and management skills. You will usually write a client report in addition to your 12,000 word dissertation.
A research project allows you to explore a topic critical to effective decision-making in organisations. Supervised by one of our academics, demonstrate you can undertake systematic and rigorous applied research over 12,000 words.
Previous research projects