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.... [-]

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.... [-]

Master of Science in Big Data Analytics and Information Technology (MS BDA & IT)Degree is a unique program focused on technological innovations and challenges in the 21st century. The program is fully accredited by AACSB International. Recent graduates of programs in our department are working in organizations such as Apple, Amazon, Boeing, Cerner, DST Systems, Edward Jones, Facebook Inc., IBM, Microsoft, Sprint, Target, Wal-Mart, Yellow Freight, H & R Block and many other Fortune 500 companies.

Master of Science in Big Data Analytics & Information Technology is a 30-hour program.

Our 19-to-1 student-to-faculty ratio means you’ll receive the personalized attention you deserve. You’ll learn from experienced faculty members who are nationally recognized scholars. They are dedicated to mentoring you and doing all they can to help you succeed.... [-]

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.... [-]

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.... [-]

The MSc in Big Data, Marketing & Management at Toulouse Business School, aims at providing a solid multi-disciplinary training to help its students equip themselves with the necessary skill sets to solve today's marketing problems and become an essential part of their future companies' decision-making process.

With 2 internationally recognized certificates and through a close collaboration with more than a dozen industry leaders, startups, and associations, the program confronts students, from the very beginning of the program, with the reality and multilayered complexity of big data, data-driven marketing, and marketing analytics.

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.... [-]

Data analysis plays a central role in the modern information society. Organisations in the public and private sectors are collecting vast data sets, and public-sector data are increasingly made open. However, if full use is to be made of these data, they must first be analysed.

The programme teaches you to understand data analysis and master necessary skills, such as data cleansing, integration, modelling and prediction, and interactive exploration of data and models. You will also learn to present data analysis results to decision-makers with descriptive summaries and visualisations.

Successful analysts need skills related to both computational and statistical topics. As an analyst, you can be employed by analysis companies in such sectors as insurance, banking, public administration and health care, or in government agencies, organisations, and research institutes in these sectors. In addition to studies in one’s own degree programme, students may take full advantage of the courses offered by the multidisciplinary Tampere higher education community. Welcome to join us!... [-]

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.... [-]

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.

Unlock the potential of big data to transform business decision-making and planning with this fully online MSc in Big Data Analytics. Develop specialist expertise in a sought-after field as you interact with international IT professionals across a cloud-based server platform, exploring the latest advances, including computer visualisation, distributed and replicated storage, and software-based networking. Graduate with the confidence and ability to deploy data-driven solutions for competitive advantage.

General admission criteria

In keeping with its standing as a high-ranking institution, the University of Liverpool sets high standards for applicants to its online postgraduate programmes.... [-]

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".... [-]