Predictive analytics applies powerful statistical and data mining techniques to large data sets in order to generate useful information, identify patterns and trends, and build models to predict future events. Applications of these techniques are now transforming decision-making throughout business, government, healthcare, and academia. The demand for professionals knowledgeable in this area is projected to grow rapidly in the coming years.

Graduates of the MS in Data Mining and Predictive Analytics program will obtain a variety of skills required to analyze large datasets and to develop modeling solutions to support decision making. They will also develop a specialization in either marketing analytics or healthcare analytics. The specialization in healthcare analytics builds upon our division’s undergraduate healthcare informatics major which is now in its fourth year. The program aims to prepare students with the required qualifications to become "data mining analysts/engineers" or "predictive modelers".... [-]

This exciting MSc Data Science for Business is the first in Scotland to be run in partnership with SAS, a global leader in business analytics solutions. We’ve worked together with leading financial services organisation HSBC and The Data Lab to develop the course so it meets industry needs.

This MSc course provides you with a deep understanding of the industrial and scientific relevance of advanced analytics and their application in strategic and operational decision-making. The course addresses the acknowledged shortage of business leaders and managers with a detailed working knowledge of data analytics. As a graduate, you’ll have a highly sought-after blend of data analytics, business acumen and advanced management skills.... [-]

Big data is increasingly important in today’s commercial landscape. As a data scientist specialising in big data, you’ll help companies make sense of large amounts of structured and unstructured data, providing rapid insights that enable them to make better, quicker decisions.

The MSc Big Data is a taught advanced Masters degree covering the technology of Big Data and the science of data analytics. You’ll gain practical skills in big data technology, advanced analytics and industrial and scientific applications.

The course will teach you how to collect, manage and analyse big, fast-moving data for science or commerce. You’ll learn skills in cutting-edge technology such as Python, R, Hadoop, NoSQL and Machine Learning. At the same time, you’ll delve into important maths and computing theory, and learn the advanced computational techniques you need to develop your career in data science.... [-]

Trent is one of the first universities in Canada to work to fill the training gap for professionals in data science. You will be uniquely prepared with the tools and techniques you require to work with and analyze today’s increasingly complex data sets in all areas of the sciences, as well as the business world. This professional program can be completed in 16 months and emphasizes practical skills in visualization, data mining, cloud-based approaches and parallel programming skills. Prepare for careers including Chief Data Officer, Data Scientist, Data Solutions Architect, Business Manager and Business Analyst.

The use of Big Data is gaining importance in the marketing field and companies are looking for academic professionals who can analyze data and give managerial advice based on the findings.

The Master in Marketing Analytics provides you with the expertise needed to pursue a career as a highly trained marketing analyst, online and otherwise, who is well equipped to deliver the sophisticated marketing information that lies behind every ingenious marketing decision.

Pursue a career as a highly-skilled marketing analyst

Acquire the ability to use state-of-the-art research methodology to collect, analyze and disseminate quantitative information in a systematic and objective way to improve marketing decision-making. You should be capable of analytical thinking, using statistical tools, and have a strong interest in what drives marketing outcomes.... [-]

The programme is focused on the value aspect of Big Data for large enterprises and the implementation of Big Data technology in the enterprise.

The value is one of the important characteristics that distinguish the Big Data as a new phenomenon. It is directly related to the economic impact that Big Data technology provides to users. Big Data storage in the field of financial services, telecommunications, retail and Government Administration were used to solve various business problems for many years.

Big Data technology can reduce the cost of IT infrastructure and software, reduce labour costs through more efficient methods of data integration, management, analysis and reaching a decision; increase revenue and profit by new or better ways of doing business.... [-]

Embark on a career in a leading-edge field and master the exciting and challenging world of big data!

Big data techniques are revolutionising how organisations and industries acquire and analyse data, offering valuable insights into how people live, work, play, travel, shop and exercise. These insights are valuable to marketers, researchers, designers, city planners, app developers, educators and many more.

GCU's MSc in Big Data Technologies helps students build the fundamental knowledge and practical skills for success in this fast-growing field. You'll develop competence in a range of emerging technologies: big data, cloud computing and the internet of things. You'll learn from the experts; GCU is internationally recognised for the strength of its research in these exciting subjects, driving 21st-century innovation.... [-]

Apply between 4 December 2018 and 23 January 2019

Read more about Scholarships

The analysis of data has a central role in the modern information society. Organizations in both the public and private sector are collecting vast data sets, and an increasing amount of public sector data is made open. However, data - assumed to be an important asset for organizations - is useless unless it is analyzed. An analysis is required to find regularities such as trends or groupings, and to relate the data to other data sets within an organization or in scattered online repositories. Analysis needs activities such as data cleansing, data integration, modeling and prediction, interactive and iterative visualization of data and models for the refinement of hypotheses and models, and the presentation of intermediate and final results to the decision-makers using visualization and reporting methods. Successful analysts need skills in both computational and statistical topics. This program educates top-level experts in computational and statistical data analysis, who possess knowledge and skills for the aforementioned tasks and understand the overall processes of the data analysis.... [-]

The MSc in Big Data Analytics for Business is a unique program that trains business professionals in the field of (online) marketing, finance, and operations. Graduates will become decision makers with strong fundamentals in business and analytics. Students are exposed to the leading-edge fundamentals in decision-making by extracting knowledge from Big Data.

For example, these will include social media data, customer web traffic data, Bloomberg’s financial data, and inventory process logs. Students will learn to solve managerial problems by critically asking questions in the spirit of ‘What do we know?’(data-driven) rather than ‘What do we think?’ (gut feeling). Students exposure to fact-based management through the introduction of leading tools and methodologies that convert data into knowledge. Business-relevant certificates (Google Analytics and Adwords, Bloomberg) can be acquired and there is exposure to business analytics and decision-making tools (Excel, SAP Business Objects, IBM Statistics, Google Analytics). It builds on the quality of IESEG School of Management’s research teams, and participants are exposed to the impact of both academic and applied research on the industry.... [-]

Data science is defined as a systematic enterprise that builds and organises knowledge in the form of testable explanations and predictions. (Dhar, V., Communications of the ACM, Vol 56 No. 12, pg 64-73, http://cacm.acm.org/ magazines/2013/12/ 169933-data-science- and-prediction/abstract

This master in data science will provide data scientists with the skills needed to be productive in a world of data and ‘big data’.

The online MSc Data Science is suitable if you are currently employed in a data-related role in your company, it could be a technical, software or business context position for which you would like to enhance your skills.... [-]

*Subject to approval

This course has been designed to enhance your professional abilities, and deepen your knowledge and understanding of emerging, state-of-the-art database technologies. It will equip you with the range of highly marketable, hands-on skills required in data modelling, and in designing, managing, monitoring and administering corporate database systems divisions, information centres and web-enabled database applications.

The course combines academic study with Oracle certification training, and you will be encouraged to take the associated Oracle exams and become an Oracle Certified Associate. It is suitable for recent graduates who wish to study for a higher qualification and/or gain relevant technical and professional skills in database systems. It's also a strong course for practitioners looking to enhance their professional abilities, develop their careers, and update their technical skills, knowledge and understanding of state-of-the-art and emerging technologies.... [-]

Prepare for a leadership role in technology with a Master of Science in Applied Security and Analytics from The University of Findlay.

The University of Findlay's Master of Science in Applied Security and Analytics focuses on advanced coursework in leadership and technology, specifically big data and cybersecurity, and can be completed within two years.

This degree is designed to enhance your current IT knowledge within the areas of security and big data analytics as well as expand your business skills in accounting, finance, project management and the overall management and leadership of information and technology.... [-]

Data Analytics is an exciting area that has gained a lot of attention. The U.S. Department of Labor's Bureau of Labor Statistics (BLS) reports that jobs in data analytics are one of the fastest growing in the United States. According to a report by the McKinsey Global Institute, by 2018 the US is expected to have a shortfall of 140,000-190,000 people with data analysis skills. Our new M.S. program is developed to meet the need in NJ and the tri-state area.

The Master of Science in Data Analytics Program at CSE will prepare graduates with the knowledge and skill set necessary to become analytics and data science professionals. The program will explore the intricacies of data analytics and expose students to various topics related to data collection, manipulation, processing, analysis, and visualization. Along with probability theory and statistical analysis methods and computing tools, students will learn how to solve crucial data-driven problems and assist with analytics-driven decision making that are needed in the workforce as the progression of big data jobs continues to grow. Our program emphasizes not only on data analytics theories but also data analytics skills and techniques with both a mathematics and computer science focus.... [-]

Big Data and Data Engineering

Big data has turned out to have giant potential but poses major challenges at the same time. On the one hand, big data is driving the next stage of technological innovation and scientific discovery. Accordingly, big data has been called the “gold” of the digital revolution and the information age. On the other hand, the global volume of data is growing at a pace which seems to be hard to control. In this light, it has been noted that we are “drowning in a sea of data”. Faced with these prospects and risks, the world requires a new generation of data specialists. Data engineering is an emerging profession concerned with big data approaches to data acquisition, data management, and data analysis. Providing you with up-to-date knowledge and cutting-edge computational tools, data engineering has everything that it takes to master the era of big data.... [-]

Duration: 2 semesters, 1 year

Language: English

Degree Awarded: Bologna accredited Master of Science in Information Technology (90 ECTS)

Nowadays, computers are essential in businesses for management of vital information. With every single use of technology, a new record containing information related to a certain activity can potentially be tracked. Therefore, it is easy to imagine the huge amount of data available for businesses that could be analyzed in order to learn as much as possible from it and improve elements such as cost-related procedures, customers’ assessment or global human health.... [-]