Master Program in Big Data in North America

Compare Masters Programs in Big Data in North America 2017

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.

Spanning 23 countries, North America is continent filled with educational opportunity. Students have the opportunity to learn multiple languages and develop an understanding of vastly different cultures.

View all Master Programs in Big Data in North America 2017

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Master of Management in Information Systems

Jon M. Huntsman School of Business, Utah State University
Campus Full time 12 - 16 months September 2017 USA Logan

The MMIS program at the Jon M. Huntsman School of Business is an innovative, project-based program designed to address business problems through the use of technology. It carries a STEM designation (29-month work option after graduation) in database management and analytics, consistently attracting many talented students from around the world. [+]

Masters in Big Data in North America 2017. Why MMIS? The MMIS program at the Jon M. Huntsman School of Business is an innovative, project-based program designed to address business problems through the use of technology. It carries a STEM designation (29-month work option after graduation) in database management and analytics, consistently attracting many talented students from around the world. Extensive Database and Data Analytics The main focus of the MMIS program relates to Big Data, Database Management, and Data Analytics. Gaining insight into business processes that facilitate improved decision making is the goal of all things data. Indeed, data is the lifeblood of improved decision making for businesses. High Job Placement and High Salaries There is currently a shortage of employees with technical management information systems skills in the workplace. Recent graduates have nearly a 100% placement rate 6 months after graduation, with a mean salary of $60,000. Career Prospects As technology spreads across every organizational sector, corporate jobs in this field are generated rapidly. Our 33-credit hour program is designed to enhance your undergraduate education by increasing your analytical proficiencies and business technology skills and strategically preparing you for management positions. Program Options This degree is available as a single degree (MMIS) or can be paired with a second master’s degree (MBA/MMIS or MHR/MMIS) by enrolling in one additional year. Curriculum The MMIS curriculum was developed with two strategic goals: Provide students with analytical-focused information systems knowledge and a complementary business acumen to enhance corporate leadership and problem solving. Support the Huntsman four pillars of excellence – Ethical Leadership, Global Vision, Analytical Rigor and Entrepreneurial Spirit. MMIS focuses on technology's role in managing and making sense of the ever‐increasing amount of data flowing into organizations. Today's managers must effectively utilize this data to improve decision making and company performance. As a student in the 33‐credit hour MMIS program, you will learn how to create value with powerful combinations of people, processes, and technology. Classes are project based with a hands‐on learning approach. PREREQUISITES (All Prerequisites Must Be Completed Prior to Starting MMIS Coursework) Business Statistics (or advisor approve equivalent) Corporate Finance Financial Accounting Programming (proficiency in an object-oriented language) Minimum requirements for Admission: They are as follows: 3.0 or higher GPA on your last 60 semester (or 90 quarter) credits 45th percentile on both the quantitative and verbal portions of the GMAT or GRE A good answer for WHY I want to get an MMIS from Utah State. *Completed the required prerequisite courses or approved equivalents. *It is not necessary that the prerequisite courses are completed before you apply, but you will need to complete all of them before you may begin your MMIS coursework. [-]

Master In Process Management (sap)

Grupo IOE
Online Part time September 2017 Spain Barcelona Madrid Murcia Valencia Colombia Bogotá Mexico Mexico City Peru Lima 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. [-]

MS Computer Information Systems

College of Saint Rose
Campus Full time 3 semesters August 2017 USA Albany

A deeper understanding of information systems can only enhance your career prospects. [+]

Masters in Big Data in North America 2017. A deeper understanding of information systems can only enhance your career prospects. You’ll gain skills in technical communication and teamwork—which are in great demand among employers—as well as advanced knowledge of data structures, computer architecture, database management systems, data communications, user interface design, and software engineering. Program Overview The Master of Science in Computer Information Systems is a Professional Science Master’s (PSM) degree program that presents students with an applied education in advanced topics associated with computer science, computer engineering, and information systems. Our program is endorsed by the National Professional Science Masters Association (NPSMA). The program is designed for students with some experience in computer technology and programming, who wish to advance their technical skills and knowledge, and who also wish to improve their communication and business skills. The goal of the program is to produce graduates who are technically proficient in their field and capable of working successfully in government and business. All students must take six required courses in areas that are central to computer information systems. These areas are data structures, computer architecture, database management systems, data communications, user interface design, and software engineering. All students must also take two courses in a chosen area of specialization and complete a master’s project in this area, under the supervision of a department faculty member. The current areas of specialization include Internet Programming, Bioinformatics, Database, and Parallel and High-Performance Computing. Surveys reveal that employers want their technical employees to be able to communicate well, work well in teams, and be able to work and communicate successfully with people from many cultures in an increasingly global workplace. Therefore, all students are required to take a course in technical communication in order to foster these skills. In addition, the department seeks to build communication and team skills throughout all courses throughout our master’s program. General Admission Information Eligibility for admission to The College of Saint Rose graduate programs is typically based upon the following minimum requirements: Submission of a completed application and a Statement of Purpose of approximately 300 words detailing the applicant’s goals for graduate study. Evidence of the possession of a baccalaureate degree from an accredited institution through submission of official transcripts from all undergraduate and graduate institutions attended Academic and professional qualifications for graduate study, as indicated by two letters of recommendation. A grade point average of 3.0 (on a 4.0 scale), overall and in the undergraduate major. Demonstration of English proficiency: Send us your TOEFL, IELTS, or PTE scores. The testing requirement is waived for applicants who have previously earned a bachelor’s or master’s degree in the United States. The College of Saint Rose offers English as a Second Language (ESL) studies and offers conditional acceptances to those who meet all other admission requirements. Conditionally accepted students must show English proficiency before enrolling in their coursework. Other admission criteria specified by academic programs such as submission of resumes, writing samples, portfolios, test scores, and participation in interviews or admissions workshops. Computer Information Systems Admission Information A student seeking admission to the program must fulfill all general requirements for admission to graduate study. In addition to meeting these criteria, all students must have either a grade point average of 3.0 or better in their undergraduate work or present a portfolio of professional work to be evaluated by the faculty of the Computer Science department. All students are expected to complete the following prerequisite courses with a grade of B or better: CSC 202 Introduction to Programming or CSC 522 Object-Oriented Programming CSC 302 Data Structures or CSC 523 Advanced Programming CSC 321 Database Management Systems or CSC 520 Introduction to Database One or more of the above prerequisite courses may be waived for students who have completed equivalent coursework at an accredited institution and have earned a B or better. Prerequisite courses do not count towards the 33 credit total required for the degree. All students must have at least nine credits in undergraduate mathematics courses. [-]

Master in Business Intelligence & Analytics

Stevens Institute of Technology
Campus Full time 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 Big Data

Universidad Europea de Madrid (UEM)
Campus Full time 9 months September 2017 Spain Alcobendas

The area of ​​Information Technology and Telecommunications of the Polytechnic School offers official master's degrees in those areas where there is a need for specialized professionals. [+]

Masters in Big Data in North America 2017. Area Informatics and Telecommunications at the Polytechnic School It offers official master's degrees in those areas where there is a need for specialized professionals. These master's degrees have not just an academic approach, but primarily have a professionalizing orientation. We choose specialties that actually have a high demand for professionals, designed the training program according to the companies, teachers incorporated specialists, and facilitate networking with these professionals and companies. In addition, these training programs incorporate all the methodology and quality of an advanced university and student-oriented, such as the European University of Madrid. WHY STUDY IN THE EUROPEAN UNIVERSITY The rate of employability of our graduates is much higher than those of the current job market: "95% of our students find employment in the first year after completing their studies," in places like Mary Angeles Sánchez Ortega, Head in Central Region IDOM. We have agreements with more than 3,500 companies to offer more internship to our students and our graduates employment. leading companies in their sectors such as Acciona, Movistar, BMW Ibérica, Vodafone, Sony Spain, Bp Oil, Iveco Spain, Airbus Spain, Endesa, Ferrovial, Sacyr, etc. We provide a comprehensive, international university education, designed to help students adjust to the workplace and personal development. Our fundamental principle is academic quality, which reinforced with practical classes and use the latest technology in the classroom. The faculty is highly qualified and has extensive teaching experience, professional and research that enriches the education and training of the student. We are part of Laureate International Universities, a global leader in higher education, with over 1,000,000 students in 80 institutions in 28 countries. This schools network power your international presence, facilitating your trip abroad exchange programs. [-]