Part time Master's Degree in Engineering & Technology in Hoboken in USA

View Part time Masters Programs in Engineering & Technology in Hoboken USA 2017

Engineering & Technology

In order to successfully obtain a Masters qualification, you will need to obtain a number of credits by passing individual modules. Most taught Masters will have a number of core modules which you must take and pass in order to obtain the qualification. The assessment of research Masters is almost always entirely by a single dissertation module or project.

Studies in engineering and technology prepare you for the technologically oriented workforce of today.

Members of the workforce with engineering and technology training are sought out by many industries including medical research and computer software development.

 

The United States of America is a large country in North America, often referred to as the "USA", the "US", the "United States", "America", or simply "the States". American colleges are funded by "tuition" charged to the student, which is often quite expensive, very commonly reaching into the tens of thousands of dollars per year.

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Master in Computer Science

Stevens Institute of Technology
Campus or Online Part time September 2017 USA Hoboken

Graduate students in computer science join a world-class faculty that provides both breadth and depth of instruction and research opportunities within security, programming languages, graphics and vision, software engineering, and computer networks. Faculty publish in top journals, receive funding from the most competitive agencies, and collaborate regularly with colleagues throughout the greater New York City area. [+]

Part time Masters in Engineering & Technology in Hoboken in USA. Graduate students in computer science join a world-class faculty that provides both breadth and depth of instruction and research opportunities within security, programming languages, graphics and vision, software engineering, and computer networks. Faculty publish in top journals, receive funding from the most competitive agencies, and collaborate regularly with colleagues throughout the greater New York City area. The university's researchers consult with companies such as Microsoft, IBM, Google, Bell Labs, AT&T Labs, and other top industry labs. The M.S. degree with optional concentrations provides elite training for both professional careers and further study or research within academia. Computer Science Master's Degree Jobs Software Engineer Software Developer Programmer Computer Systems Analyst Database Administrator Business Intelligence Analyst Web Developer Software Quality Assurance Tester Software Applications Developer Curriculum Overview Degree Requirements Completion of at least thirty credits at the graduate level (500 level and above), with a minimum grade of C and a minimum GPA of 3.00. At least twenty-one credits must be from computer science courses, identified by the CS prefix. At least three of the courses must be drawn from this set: CS 510 Principles of Programming Languages CS 511 Concurrent Programming CS 513 Data Mining and Knowledge Management CS 520 Introduction to Operating Systems CS 521 TCP/IP Networking CS 522 Mobile Systems and Applications CS 524 Introduction to Cloud Computing CS 526 Enterprise and Cloud Computing CS 537 Interactive Computer Graphics CS 541 Artificial Intelligence CS 545 Human Computer Interaction CS 546 Web Programming CS 548 Enterprise Software Architecture and Design CS 549 Distributed and Cloud Computing CS 561 Database Management Systems I CS 573 Fundamentals of Cybersecurity CS 578 Privacy in a Networked World CS 600 Advanced Algorithm Design and Implementation CS 677 Parallel Programming for Many-core Processors CS 694 Advanced Computational Modeling in Biology and Biomaterials The remaining nine credits can be from computer science or any other disciplines. Some students may seek to take electives that form a focused area of study. Accordingly, several suggested focus areas of logically related electives are defined including: Cloud Computing Databases Gaming and Simulation Mobile Systems Modeling, Simulation, and Visualization Network and Systems Administration Secure Systems Software Development Visual Computing and Information Extraction Web Application Development Admission Requirements Admission into the graduate certificate or master's degree programs requires an undergraduate degree in engineering, or in a related discipline, with a grade point average of "B" or better from an accredited college or university. Required Documentation All applicants must submit the following documents to be considered for admission: Completed online application for admission Official college transcripts from all colleges attended Two letters of recommendation Statement of Purpose GRE scores* Application fee Optional Documents: Resume/CV *Starting Fall 2014 GRE scores required for all applicants applying into a full-time graduate program in the School of Engineering and Sciences. (Code #2819) All scores are only valid for five years prior to the application term. GRE required for all PhD applicants. Additional Requirements for International Applicants TOEFL/IELTS - International students (Code #2819). Approximately two weeks following receipt of the above material, you will receive a decision letter from the Office of Graduate Admissions. If accepted you will receive an acceptance letter outlining the program to which you were accepted, as well as your assigned academic advisor's contact information. [-]

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. [-]