Part time Master's Degree in Big Data

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Big Data

A masters refers to the completion of a graduate study program that prepares students to further their knowledge of a specific subject or advance their careers. The majority of masters are granted by state or public universities.

A student who does well in advanced mathematics and computer science may choose to study big data. This field deals with large data sets that must be analyzed as a unit instead of as individual points. There are applications for both the public and private sectors.

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MSc in Web Sciences and Big Data

University of Liverpool Online Programmes
Online Part time 3 - 4 semesters Open Enrollment United Kingdom UK Online

Become a sought-after web sciences and big data professional, ready to take on key management positions in these rapidly expanding areas that are transforming private and public sectors around the world. This is a unique opportunity [+]

Best Part time Masters in Big Data 2017. Become a sought-after web sciences and big data professional, ready to take on key management positions in these rapidly expanding areas that are transforming private and public sectors around the world. This is a unique opportunity to advance in both web sciences and big data as you study a BCS-accredited programme fully online with a leading Computer Science department of a prestigious UK University – in the top 1% of universities worldwide. Connect with a diverse range of international IT professionals in a dynamic online environment. Choose from 16 specialist IT and management modules, customising your degree to your career. Entry Requirements - Online MSc in Web Sciences and Big Data Our online MSc in Web Sciences and Big Data programme provides professionals with the opportunity to further their careers at the forefront of IT innovation and to gain knowledge they can apply immediately in their work. Both educational qualifications and work experience are taken into consideration when you apply to the University. In general, you will be expected to have the following: - A bachelors degree from an accredited college or university or a degree from a recognised institution comparable and/or equivalent to a British honours degree - Two years of relevant working experience - Applicants who do not directly meet the educational requirements will be evaluated on an individual basis, taking into account vocational and professional qualifications, and relevant working experience. English proficiency If English is not your native language, you will need to demonstrate English proficiency comparable to IELTS 6.5, TOEFL 570, or GCSE C. [-]

Master In Process Management (sap)

Grupo IOE
Online Part time September 2017 Spain Madrid Murcia Valencia Colombia Bogotá Mexico Mexico City Peru Lima Barcelona Brazil São Paulo + 10 more

The name comes from SAP Systems, Applications and Products in Data Processing. This system includes many fully integrated modules. The information is shared, both between modules and between all areas. [+]

The name of SAP comes from: Systems, Applications and Products in Data Processing. This system includes many fully integrated modules. The information is shared, both between modules and between all areas. SAP It establishes and integrates the production system of companies and has a number of modules that constitute a ideal tools to meet the needs of business management around: Finance. Management control. Human Resources. Sales and distribution. logistics Production planning OBJECTIVES: Mastering SAP FI focused on the needs of your company. General working knowledge of the application and the various tools it contains. Specific development of the various business matters that facilitates the use of the application. Programming in ABAP In order to guarantee the quality of this program, Places are limited to 20 students. Remember that your company can provide aid for job training to do so. Consult us without obligation. [-]

Master Web Analytics And Big Data

Spain Business School
Online Part time 10 months February 2017 Spain Madrid

The digital analyst and scientific data are two of the most demanded today and the next few years profiles. This master is aimed at both management level profiles, as middle managers, technical profiles, independent professionals, businessmen, entrepreneurs, etc. In short, any professional who wants to be a leader in the digital business ... [+]

Best Part time Masters in Big Data 2017. Who should attend: The digital analyst and scientific data are two of the most demanded today and the next few years profiles. This master is aimed at both management level profiles, as middle managers, technical profiles, independent professionals, businessmen, entrepreneurs, etc. In short, any professional who wants to be a leader in the digital business. Objectives: Know, understand and apply the fundamentals of any company, but from the perspective of the new market, digital. Learn to interpret the behaviors that users are on the network and especially on our site in order to adapt your products, services and business to what users are demanding. Mastering the most important tools like Google Analytics. Also, make contact with the reality of Big Data is an unstoppable reality that affects both businesses and individuals. Being able to build your own project and get funding for it. In addition, a number of global targets to all programs consisting of: efficiently lead teams, learn to make strategic decisions, develop a global and inclusive vision, master change management and capture management skills. agenda: Module 1: Fundamentals Session 1: technological and legal environment. Session 2: Introduction to laanalítica. Session 3: Objectives and strategy of a website. Module 2: Analyst Session 1: Google Analytics I. Session 2: Google Analytics II. Session 3: Analytics Adobe / Omniture. Session 4: Comscore. Session 5: Excel for analysts. Module 3: Statistical and analytical method Session 1: Social Media Analytics. Session 2: Analytical in e-commerce. Session 3: Qualitative analysis. Session 4: Quantitative analysis. Module 4: Big Data Session 1: Big Data environment. Session 2: Architecture Big Data. Session 3: Analysis of information and knowledge. Session 4: Fundamentals R language and SQL. Module 5: Digital Management Skills Session 1: Public Speaking. Session 2: Emotional Intelligence. Session 3: Communication for leadership. Session 4: Effective presentations. MASTER THESIS PROJECT. Always accompanied by your expert, your project tutor and the head teacher. Additional Information: Those students who wish have the possibility of internships in major companies. This training can be funded by the Tripartite Foundation Reviews of students: Francisco Oviedo • What is the best course? Time flexibility when organizing the study, the implementation of practices to learn the knowledge and the ability to combine it with other activities. Teacher training, with great experience, proximity and speed in resolving doubts. • What can be improved? Some classes over face / webinars doing practical exercises. • Would you recommend the Master or Expert you're doing? Yes I recommend, for the contents, by professionals and flexibility (which is very important). Inma Bonilla • What is the best course? Professional Output • What can be improved? Communication with some teachers more agile • Would you recommend the Master or Expert you're doing? Although I just started, yes. Desiree Lopez • What is the best course? The content of the master and follow-up by the teachers • What can be improved? Creating notifications when a partner shares something in the forums • Would you recommend the Master or Expert you're doing? I think it is highly recommended, although have little time. David Bello • "My name is David and I would recommend the Master in Web Analytics and Big Data Business School of Spain. The master is very complete and has both specific and public speaking courses and leadership courses, which are absolutely necessary for any professional today. Also, I really like the methodology of case study because it allows deeper knowledge of a dynamic and entertaining way. But undoubtedly the most interesting part is the live classes you can see the screen of your teacher as he works with the analytical tool, because it is the best way to learn how to use it. Also, you can see her again after the virtual campus if you have any questions. Last but not least, I would highlight the close relationship of all school staff that will guide you throughout the learning process. Do not think twice, join Spain Business School! " Salido Ernesto Galan "The MAWBD, combining two fields of huge professional projection as Web Analytics and Big Data, presented in a unique training range, enabling you to solve, through the successful formation obtained after the same, various solutions Business Intelligence any possible professional challenge which you must meet. Of the many highlights of the Master, would highlight its innovative character, with a generation of academics and professionals in the sector, which will facilitate direct and immediate access to pointers work environments, balancing training both theoretical and practical, all linked a generalized own demand quality and brand teaches the school. Teacher quality, connected through management positions in digital training environments, helps you to cope from day to possible real situations in your professional field. " [-]

Master in Business Intelligence & Analytics

Stevens Institute of Technology
Campus Part time September 2017 USA Hoboken

Survival in today's marketplace demands professionals who combine a passion for innovation with the ability to analyze and interpret large volumes of data. [+]

Survival in today's marketplace demands professionals who combine a passion for innovation with the ability to analyze and interpret large volumes of data. But few managers possess the technical training to successfully lead their organization's forays into technologies such as Twitter, Facebook and the Internet of Things. That leaves those companies unable to capitalize on the limitless opportunities available through such universally available tools and the endless data they provide. The Business Intelligence & Analytics Master's Degree program provides the analytical and professional skills necessary to take advantage of this data, to move organizations from the traditional mode of intuition-based decision-making to fact-based decision-making. The curriculum covers the concepts and tools at the forefront of the Big Data revolution: database management, data warehousing, data and text mining, social network analytics, optimization, risk analytics, and technologies such as Hadoop and data stream analytics. Upon earning their degrees, students will have completed a capstone course requiring them to work on a major project, using real data, under the guidance of an industry mentor. Coursework also emphasizes training in traditional business skills, such as oral and written communication skills, analytical thinking, and ethical reasoning. Going beyond the data The Business Intelligence & Analytics program emphasizes the application of Big Data to business problems, ensuring graduates can build actionable strategies based on the numbers. Who Should Apply The master's in Business Intelligence & Analytics was created to connect quantitatively oriented students with industry, to prepare them to bring a blend of management and analytical skills to companies in financial services, life sciences, retail, media and beyond. The curriculum is designed to build upon the kind of undergraduate work students are exposed to in pursuing undergraduate degrees in science, mathematics, computer science and engineering. The program is available to students who wish to pursue this degree full- or part-time. Experience recommended Admission to this program is highly selective, and at least one year of work experience is preferred in order to keep classroom discussing moving at a brisk pace. However, applicants are not required to have experience, and can enroll in the program immediately after completing a bachelor's degree. To be considered, students must include the following with their applications: Two letters of recommendation. Official transcript from each academic institution attended. Official conferment of your bachelor’s degree, with a B average, in science, mathematics, computer science, engineering or a related field. One year of calculus. Once course covering basic probability, hypothesis testing and estimation. An up-to-date résumé. Competitive GMAT or GRE score. Competitive TOEFL score (international students only). Location advantage Its unique location just across from Manhattan supports the Stevens master's in Business Intelligence & Analytics by putting the campus within easy reach of many Fortune 500 companies — most of whom have an insatiable thirst for data scientists and managers who combine business and analytical skills. Recruiters frequent the Stevens campus to meet the best and brightest students, while managers deliver guest lectures or suggest consulting work for students and faculty researchers. The university's location is felt strongest in a required practicum course in which students work on a major project, using real data, under the guidance of an industry mentor at a nearby company. Curriculum Overview The master's program is structured to train students who understand both the business implications of Big Data and the technology that makes that data useful. The curriculum develops students' professional skills, disciplinary knowledge and technical abilities, leaning heavily on the high-tech infrastructure at Stevens to give students direct exposure to the kind of challenges they will engage in the workplace. Students will cultivate the skills to collect, analyze and interpret data in strategic data planning and management; databases and data warehousing; data mining and machine learning; network analysis and social media; and risk, modeling and optimization, and will learn to apply those skills to business problems in order to form actionable strategy. Core courses Organizational context FIN 615 Financial Decision Making - Database MIS 630 Data and Knowledge Management MIS 636 Data Warehousing and Business Intelligence Optimization and risk BIA 650 Optimization and Process Analytics BIA 670 Risk Management: Methods & Applications Statistics BIA 652 Multivariate Data Analytics BIA 654 Experimental Design Data Mining MIS 637 Knowledge Discovery in Databases BIA 656 Statistical Learning & Analytics * Social Networks BIA 658 Social Network Analytics BIA 660 Web Mining * Management Applications BIA 672 Marketing Analytics * BIA 674 Supply Chain Analytics * Big Data Technologies BIA 676 Data Stream Analytics: Internet of Things * BIA 678 Big Data Seminar * Practicum BIA 686 Applied Analytics in a World of Big Data BIA 702 Curriculum Practical Training ** *Choose two with advisor permission **Optional. Limited to international students Concentrations The master's program includes a concentration tailored to the career demands of students in data science. Data Science This highly flexible concentration prepares students to become specialists in the highly in-demand field of data science. Working with their advisor, students select between two and four courses offered in the Computer Science, Financial Engineering and Mathematics departments at Stevens. [-]

Master In Business Analytics And Big Data

CIFF Centro Internacional de Formación Financiera
Campus Part time 8 months November 2017 Spain Madrid

The Master in Business Analytics and Big Data is the answer to the need for a new professional who is able to extract useful knowledge from data in the context of proliferation of production data in organizations and on the Internet in general [+]

Best Part time Masters in Big Data 2017. The Master in Business Analytics and Big Data is the answer to the need for a new professional who is able to extract useful knowledge from data in the context of proliferation of production data in organizations and on the Internet generally. This program seeks to address the needs of data analysis in business. These new professionals sometimes called "data scientists" are called to play an essential role in the new competitive context that dominates decision-making based on the analysis of large volumes of data. Must be able to identify, collect, process, analyze, process and interpret the data in the context of specific business objectives. The program develops skills and integrative skills and areas of knowledge of business problems with quantitative and predictive techniques for making reliable and robust models. It also develops the skills and knowledge necessary to understand and manage the technology related to parallelism and associated mining processes to big data and data management and processing in cloud services. The program is aimed at graduates and young professionals looking to specialize in the area of ​​study or prepare for project management and big data analytics. The design of the program features: - A teaching faculty consists of practicing professionals and researchers in the area with specialists in different areas. - A comprehensive program covering the needs of information professionals from the business case to the parallelization of data processing. - A teaching method that combines contextualized practices in business problems and the case method. [-]