Masters Programs in Big Data

Compare 31 Masters Programs in Big Data

Big Data

Master’s degrees are academic certifications given to students who complete a graduate-level degree program. Once you have your master’s degree, you can pursue a PhD or start your career.

What is a Master in Big Data? Every day, mass quantities of data are generated all over the world, and it is the responsibility of skilled analysts to parse through this data, locating valuable information and disregarding meaningless junk. A degree program in big data helps you master the skills needed to become an analyst and teaches you the foundations of data analysis. Some of the core courses of the program include mathematics, data design, project management, and predictive analytics. During your studies, you also learn how to navigate and understand a variety of data-mining technologies.

Numerous industries, from government to retail, use data analytics to make better business decisions. The master’s degree program teaches you how to operate in each one of these industries. Such a capability helps you stand out from your competition when applying for a position.

Depending on the school and country, a master’s degree takes approximately one to two years to acquire. Tuition and fees also vary, but you can contact your college to determine the exact cost of enrollment.

Data analytics are of crucial importance to a range of industries. Once you have your degree, you are qualified to work in communications, finance, healthcare, manufacturing, government, and an assortment of other fields. A master’s degree in big data also prepares you for a position in management, public policy, and technology. While many graduates choose to become data analysts, others elect to become business analysts, data architects, systems analysts, and business intelligence developers. Big data is a valuable resource to employers, and an educational background in the subject stands out favorably on a resume.

Schools throughout the world offer master’s degree programs in big data, and online courses are also an option. Search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.

 

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Master in Data Science

Bologna Business School
Campus Full time 12 months December 2017 Italy Bologna

The Master in Data Science is designed for recent graduates interested in management and data analysis and who would like to take on a role which is central to any business and its value creation. A Data Scientist has already become one of the most sought-after specialists in the professional world. [+]

Masters in Big Data. The Master in Data Science is designed for recent graduates interested in management and data analysis and who would like to take on a role which is central to any business and its value creation. A Data Scientist has already become one of the most sought-after specialists in the professional world. The data business is becoming a key sector for the European economy, the development of products and services based on data and the analysis of data collected in companies, public entities or that are available on social networks. The aim being to obtain operational indications and to identify new business opportunities. Big Data is a big challenge of today’s world, but we are training professionals to understand and create value from this complex information. Companies, in fact, have both a need and an urgency to manage the acquisition, presentation, sharing, analysis and visualization of data. Data Scientist is defined by the Economist as “the most interesting job of the twenty-first century, combining the skills of an IT technician, statistician and storyteller to extract the golden nuggets hidden under the mountains of data.” The Master in Data Science offers 3 different types of skills: solid computer training, an understanding of the technological aspects and knowledge of business dynamics. This Master creates professionals with across-the-board skills who are able to integrate with the company’s management. The program concludes with a Field Laboratory Work and a company internship. THE MASTER IS AN INVESTMENT. THE HONOR LOAN IS THE WAY TO FUND IT. “PerTe Prestito Con Lode”, a long-term and low-interest honor loan, with no collateral required to cover the full amount of the tuition fee. STRUCTURE The Master in Data Science is a full-time program structured in 1,500 hours of learning activities over 12 months of study, divided into: 360 hours of lecturing, an estimated 540 hours of independent study, and 600 hours of internship. The structure of the Master is divided into two terms: First term: December 2017 – April 2018 Second term: April 2018 – July 2018 Internship: September 2018 – December 2018 The Master offers a series of pre-courses at the start of the academic schedule: Software programming (Python), the foundations of data and SQL, basics in descriptive and inferential statistics, explorative data analysis and the fundamentals of economics. Classroom participation is about 30 hours per week structured in order to allow time to work in groups, while not neglecting individual students focus and management of interpersonal relationships. LEARNING METHOD The educational sessions provide different learning methods, including lectures, simulations, discussions of case studies and presentations by companies, testimonials, and group work. The curriculum is completed with master lectures held by professionals from the worlds of business, academia and politics, with opportunities for discussion and interaction with the business world through case histories. CAREER DEVELOPMENT Building synergies with businesses is a priority and a distinguishing characteristic of all programs of Bologna Business School, including the Master in Data Science. The School is fully dedicated to preparing students for the job market and it accomplishes this through systematic career development, with an ongoing commitment to combine the best professional projects by students with the demands of businesses. The internship is an excellent springboard to the professional world, evidenced by the fact that six months after completing the full-time master at Bologna Business School, an average of 85% of alumni are working in a company. [-]

Master of Data Science

Harbour.Space
Campus Full time 2 years Open Enrollment Spain Barcelona

The MSc Data Science programme is designed for those who desire to deepen their comprehension of all aspects of the data sciences. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a BSc in data science. [+]

This program is taught in ENGLISH. The Master Degree program in Data Science is designed for those who desire to deepen their comprehension of all aspects of data science. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a bachelor degree in computer science. PROGRAM STRUCTURE Year 1 Students begin the programme with foundational knowledge of programming and mathematics, including data structures and algorithms, statistics and machine learning. During the first year their knowledge of mathematics, programming and data analysis will be significantly extended. The programme also offers the opportunity to obtain key soft skills for the professional world including technical project management, writing and presenting. Finally, students are expected to attend a substantial amount of talks and workshops offered by the university, as well as working on the Capstone project. Modules Combinatorics And Graphs Convex Optimization Information Theory Discrete Optimization Auctions Stochastic and Huge-Scale Optimization Computability And Complexity Probability and Statistics Statistical Data Analysis Machine Learning C++ JAVA Python Practical Unix Data Structures and Algorithms Parallel and Disrtibuted Computing R Databases Technical Writing and Presenting Technical Project Management Leadership and Group Dynamics Introduction to Interaction Design Web Graphs Capstone Project Seminars & Workshops Year 2 During the second year of the program students will primarily focus on learning the key applications of the data science as well as advanced methods in mathematics and data analysis. A significant part of the year will be allocated to the completion of the capstone project. Through completion of the programme, students will learn to conduct data analysis on any scale, develop the software necessary for analysis and present the results in a professional and efficient ways. Modules Nonlinear Optimization Robust Optimization Machine Learning Statistical Data Analysis Machine Learning on Big Data Stochastic and Huge-Scale Optimization Data Visualization Map Reduce Distributed Databases Technical Writing and Presenting Leadership and Group Dynamics Technical Project Management Big Data Analysis Cryptography Social Network Analysis Image And Video Analysis Text Mining Information Retrieval Machine Translation Algorithms in Bioinformatics Spectral Graph Analysis And Data Science App Capstone Project Seminars & Workshops MATH AS A SECOND LANGUAGE (MSL) A Harbour.Space major requirement for all students in tech is a very good level of math. Anyone who lacks the strong math foundation they need for a career in tech, but is eager to learn has a home in our foundation course (link). Students acquire all the basic tools they need to continue studies in Computer Science, data Science or Cyber Security. Graduating from MSL means opening the doors to apply for a place at Harbour.Space University and any other top-rate tech university in the world. Programme Leadership Andrei RaigorodskiiDr.Sci, PhD, Chair of the Department of Discrete Mathematics Konstantin MertsalovPhD, Director of Software Development Europe, Rational Retention Career Path Junior Data Scientist Data Scientist Senior Data Scientist Principle Data Scientist Chief Data Officer LIVING IN BARCELONA Studying in Barcelona has the following advantages: Barcelona is #1 in Europe for quality of life and clearness of environment (2012 Quality of Life City Rankings – Mercer Survey) Barcelona is #1 in the world for the level of infrastructure and urban development (2011, Ernst & Young). The region of Catalonia, where Barcelona is the capital, contributes significantly to the Spanish GDP. The growth of Catalonia’s GDP is currently 3.3%, much higher than in Europe on average. Catalonia’s exports are €42.2 billion, higher than in any other region of Spain. 7,000+ innovation and technological companies during the last 10 years. Barcelona is 6th in Europe for attractiveness and comfort for doing business (European Attractiveness Survey 2011, Ernst & Young), Barcelona is 2nd in Europe (after London) for being promoted as a business center (European Cities Monitor 2011); Barcelona is 2nd in the world for hosting different international conferences and congresses (City and Country World Report 2011, ICCA ). Barcelona is the host of the annual World Mobile Congress, which attracts thousands of international companies that work in the mobile industry. 7,000,000 + millions of tourists / year 20° C - average temperature during the day 2437 hours of sunshine/ year Cost of living 550 euro / month [-]

Master in Human-Computer Interaction

Umeå University, Faculty of Science and Technology
Campus Full time 2 years August 2017 Sweden Umeå

In addition to the continued development of increasingly powerful and portable personal computers, a range of new artefacts is appearing, including... [+]

Master's Programme in Human-Computer Interaction

 

In addition to the continued development of increasingly powerful and portable personal computers, a range of new artefacts is appearing, including car navigation devices and electronic books, adding to a large number of traditional artefacts, such as cameras, phones, washing machines, and fitness equipment, all of which are IT-artefacts which include advanced information processing components.

 

The trend towards the widespread use of IT-artefacts is one of the key aspects of the so-called "digital transformation", a revolutionary transformation of our culture and society that places a heavy emphasis on information and knowledge. This trend gives rise to new phenomena of human interaction with technology and world. Computational capabilities of the interactive things we use every day, combined with powerful new communication, input, and output capabilities, provide great possibilities for human action but also create numerous problems. Realising this potential effectively and efficiently requires that the interaction between people and IT-artefacts becomes an object of study dealing with both people and technology.... [-]


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. [+]

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 of Technology in Cloud Computing

K L University
Campus Full time July 2017 India Guntur

To make the students achieve a level of competency, cognition and knowledge in the acquisition of theoretical foundations in the stated specializations related to Computer Science and Engineering at post graduate level. [+]

Masters in Big Data. Program Educational Objectives To make the students achieve a level of competency, cognition and knowledge in the acquisition of theoretical foundations in the stated specializations related to Computer Science and Engineering at post graduate level Must be able to conduct research and undertake development in the focused and emerging areas and domains shortlisted for the discipline - Computer Science and Engineering Specify, design, develop, prototype and test the applications that are related to the domains finalized for the program Be able to achieve hands-on practice in using different type of tools which are related to theoretical aspects covered in the program, and be able to conduct research, and undertake project development using the tools. Understand and practice professional ethics Recognize professional and personal responsibility to the community and undertake all the activities that benefit the society Pursue lifelong learning as a means of enhancing knowledge and skills necessary to contribute to the betterments of profession. Must learn to work in teams especially for undertaking project execution Program Outcomes Apply knowledge, concepts, methods, and algorithms, techniques in implementing solutions to the problems that are related to the domain areas that are shortlisted for the discipline Computer Science and Engineering. Identify, formulate, research literature and find solutions to the problems and critically evaluate the solutions to the problems that are related to the fields of specialization shortlisted for the discipline “Computer Science and Engineering” Specify, design and develop solutions for complex engineering problems related to specialisation areas and domains shortlisted for the program Conduct experimentation using different types of tools, that help analyzing, designing evaluating and testing applications related to specialization areas Be able to innovative and incubate the research findings through development of pilots and be able to promote the commercialization by interacting with eco system in association with the faculty specializing in similar areas. Function effectively as an individual and as a team member to design and develop applications, conduct research and find solutions to the burning problems. Demonstrate the understanding of the societal, health, safety, legal and cultural issues through incorporating and implementing relevant engineering practices during project and LAB execution. Understand and commit to professional ethics through adaption of norms and standards Be able to bring in the societal issues such as energy minimization, pollution elimination etc., into the engineering solutions designed for solving complex problems Demonstrate knowledge and understanding of management and business practices that are related to the field of specialization [-]

Master's Programme in Information Technology

Åbo Akademi
Campus Full time 2 years August 2017 Finland Turku Vaasa + 1 more

The programme gives you a broad education covering several different fields within computer science and computer engineering. [+]

Degree awarded: Master of Science (Technology) or Master of Science Annual intake: 30 Contact: mit@abo.fi Website: www.abo.fi/mit Facebook: www.facebook.com/groups/aamasterit/ The programme gives you a broad education covering several different fields within computer science and computer engineering. You will obtain the necessary knowledge and experience which is needed in different types of careers within the software industry (for example supercomputing, e-health, IT security, formal methods, embedded systems and software engineering), in the biotechnology industry (for example, bioinformatics, computer modeling), in the data analysis industry (for example, machine learning, customer segmentation, data-driven business). Admission to the master's programme in Information Technology gives you the right to take the Master of Science degree in Computer Science or the Master of Science (Technology) degree in Computer Engineering. In Computer Engineering you can either focus on Software Engineering or Embedded Computing. Students applying to the Master's Programme in Information Technology will be able to rank the three available tracks (Computer Science, Embedded Computing and Software Engineering) in order of preference in the application form.The second and the third preference can be optionally added. In the admission decision, the student will be notified if s/he can be admitted to the track of first preference, or to the tracks of second or third preference. We are located in the recently renovated Agora building, where research groups and academic programmes from both Åbo Akademi University and University of Turku, meet, interact, and collaborate. The study facilities are brand-new and equipped with the latest technology. The programme is affiliated with the Turku Center for Computer Science (​​ TUCS​) graduate school, which coordinates all research and education in IT in both universities in Turku (University of Turku and Åbo Akademi University). Through TUCS, the students can take advantage of advanced-level courses offered by both universities. Admission requirements A completed university level Bachelor’s degree in Computer Science or Computer Engineering or in a closely related field is required for admission. Eligible applicants are selected on the basis of how well the bachelor’s degree corresponds to the programme and on the study merits of the student. We expect the applicant to has passed courses in several of these areas: Mathematics Basic computer science courses ( e.g. algorithms and data structures, operating systems, computer networks and protocols, compiler construction) Basic courses on computer architecture, computer network or system design Programming courses (e.g. courses in C/C++ or Java programming) Applicants to the Master's degree programmes taught in English must always prove their knowledge of the English language. For more detailed information on admission requirements, please check admission requirements and application procedures. No entrance examination. Admission is granted on the basis of the application. How to apply? For more information on the application requirements and procedures, tuition fee and scholarships, please see http://www.abo.fi/ansok/master [-]

Master of Information Technology

The University of Waikato
Campus Full time 12 - 18 months March 2017 New Zealand Hamilton

The Master of Information Technology at the University of Waikato moves you beyond the theoretical through to supervised project-based learning and on-the-job experience with an industry partner. [+]

Masters in Big Data. Master of Information Technology The Master of Information Technology at the University of Waikato moves you beyond the theoretical through to supervised project-based learning and on-the-job experience with an industry partner. The course's main feature is the industry internship (FMCS596) paper which gives you industry experience for one whole semester. As an intern you will be mentored and supported by your employer and University supervisor, as you work on a real-world problem in an industry team setting. The MInfoTech was developed as part of the Auckland ICT Graduate School, a joint initiative between the University of Waikato and the University of Auckland, to develop industry-ready ICT experts. The aim of the programme is to meet the explosive demand for highly-skilled network and data professionals, coders, system architects, web developers and other work-ready ICT professionals. Technology is the fastest growing sector in New Zealand and with a $1.3 trillion projected growth in the global ICT industry from 2013-2020, the MInfoTech prepares you to make the most of the significant opportunities available in this industry. Our aim is to ensure you move beyond the classroom and into professional work situations with a full complement of employable IT skills. The Postgraduate Certificate in Information Technology (PGCertInfoTech) provides the ideal pathway to the Master of Information Technology (MInfoTech). Career opportunities Internet/Multimedia Developer Database Developer Cloud Computing Developer Data Security Developer Network and Support Developer Software Architect Technical Consultant Systems Administrator Admission and enrolment For admission, students will need to have completed a relevant bachelor's degree, normally in Computer Science. You will need an average of at least B in 80 points of 300 level or above including at least 40 points in Computer Science or a related field. Students with a non-ICT undergraduate degree are encouraged to apply for the Postgraduate Certificate in Information Technology (PGCertInfoTech). International students will need to have an IELTS score of 6.5 with at least 6.0 in the writing band. International students can email international@waikato.ac.nz for more information or help with the application process. Degree Structure For students with an undergraduate degree, this degree requires a total of 180 points consisting of 120 points of 500 level taught papers and a 60 point internship (FCMS596). For students with an Honours degree, this degree requires a total of 120 points consisting of 60 points of 500 level taught papers and a 60 point internship (FCMS596). [-]

Masters Degree in Data Science

Sapienza University of Rome
Campus Full time 2 years October 2017 Italy Rome

The remarkable increase in the volume and complexity of available data and new technologies that have been developed to process them requires a combined multi-disciplinary approach to design an overall strategy aimed at transforming data into useful information. [+]

The remarkable increase in the volume and complexity of available data and new technologies that have been developed to process them requires a combined multi-disciplinary approach to design an overall strategy aimed at transforming data into useful information. Key ingredients to develop a successful strategy are data manipulation and visualization, large scale computing, statistical modelling, learning techniques, algorithmic thinking. Laurea Magistrale in Data Science is a new Master's degree taught in English. It is a joint initiative within the i3S Faculty combining the expertise of four Departments Informatics (DI) Department of Computer, Control and Management Engineering (DIAG) Information Engineering, Electronics and Telecommunications (DIET) Statistics (DSS) This Master's program provides a solid and modern preparation to understand and manage the multi-facet aspects of carrying out a complete data analysis, including acquisition, management, and statistical analysis. Admission To guarantee that students have the required background, there are some requirements that candidates should satisfy. For Italian students, these are: They must hold a 3-year bachelor's degree (laurea trienale) The must have acquired at least 90 credits in the following scientific sectors: Mathematical sciences: MAT/* Informatics: INF/01 Physics: FIS/* Economical and statistical sciences: SECS-P/*, SECS-S/* Industrial engineering: ING-IND/* Computer engineering: ING-INF/* They must possess basic knowledge from some of the following areas: Matematics: Differential calculus and integration in one or multiple real variables, basic notions of linear algebra and analytical geometry in the Euclidean space Probability: Random variables, distributions and mean values, basic distributions, convergence of sequences of random variables Informatics: Programming principles, knowledge of at least one of the following programming languages: C, C++, C#, Java, Python They must know the english language at a level of at B2 Course Plan First year Semester I ALGORITHMIC METHODS OF DATA MINING AND LABORATORY 9 ECTS FUNDAMENTALS OF DATA SCIENCE AND LABORATORY 9 ECTS STATISTICAL METHODS IN DATA SCIENCE AND LABORATORY I 6 ECTS INTELLECTUAL PROPERTY COMPETITION AND DATA PROTECTION LAW 6 ECTS ECONOMICS OF NETWORK INDUSTRIES 6 ECTS Semester II NETWORKING FOR BIG DATA AND LABORATORY 9 ECTS STATISTICAL METHODS IN DATA SCIENCE AND LABORATORY II 6 ECTS DATA MANAGEMENT FOR DATA SCIENCE 6 ECTS CLOUD COMPUTING 6 ECTS DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY 6 ECTS DATA MONITORING ANALYSIS AND COMMUNICATION 6 ECTS STATISTICAL LEARNING 6 ECTS QUANTITATIVE MODELS FOR ECONOMIC ANALYSIS AND MANAGEMENT 6 ECTS Second year Semester I DATA PRIVACY AND SECURITY 6 ECTS SOCIAL AND BEHAVIORAL NETWORKS 6 ECTS SIGNAL PROCESSING FOR BIG DATA 6 ECTS NETWORK INFRASTRUCTURES 6 ECTS OPTIMIZATION METHODS FOR MACHINE LEARNING 6 ECTS STATISTICAL METHODS FOR OFFICIAL STATISTICS 6 ECTS EFFICIENCY AND PRODUCTIVITY ANALYSIS 6 ECTS PROBABILITY AND STOCHASTIC PROCESSES FOR DATA SCIENCE 6 ECTS DIGITAL EPIDEMIOLOGY 6 ECTS Semester II EARTH OBSERVATION DATA ANALYSIS 6 ECTS ECONOMICS OF INFORMATION 6 ECTS BIOINFORMATICS 6 ECTS [-]

ICT Management Engineer

ESAIP Graduate School of Engineering
Campus Full time 3 years September 2017 France Angers

A 3 year programme in French [+]

Masters in Big Data. A 3 year programme in French - Security Intelligent Systems - Connected Devices - Big Data & Data science - Digital Management (+) Professional certifications in our in-house training center [-]

Master in Big Data Analytics

Novosibirsk State University
Campus Full time 2 years September 2017 Russia Novosibirsk

The innovative project-oriented training in Data Science led by the minds that envision and hands that shape the future of Big Data World. Your diploma will read Master of Science. Only because our "Wizard" degree is not yet official. [+]

Description The innovative project-oriented training in Data Science led by the minds that envision and hands that shape the future of Big Data World. Your diploma will read Master of Science. Only because our "Wizard" degree is not yet official. Program goal True Data Scientist solves the problem by combining the hardcore science and breakthrough data mining technologies with inexplicable art of human understanding. As a student you will take part in real projects, working with the team through all the project stages to acquire deep knowledge and master your skills in analyzing the core problems of your customer, planning and managing project resources, engineering software, collecting and processing all sorts of data, and discovering the precious insights that put the whole data puzzle together. Duration of study 2 years Language of instruction English How to apply Entrance requirements For both foreign students and graduates of the Russian higher education institutions (including bachelor graduates of NRU NSU): Educational diploma (certificate or analogous document) on program of level of a bachelor degree or of a specialist qualification of any specialization Strong motivation to be Data Scientist Proved background and strong knowledge of statistics and programming. The application procedure and deadlines Till July, 8 the applicant send the following copies of documents via e-mail to the supervisor of the program Pavlovskiy Evgeniy Nikolaevich (e-mail: pavlovskiy@post.nsu.ru): Application for admission to the master program; Diploma (or some analogous document) on program of level of a bachelor degree or certificate (ordering) about passing now such program. TOEFL certificate (score 50-70: intermediate or upper intermediate level) or other international certificates (BEC etc.) of similar level. Curriculum Vitae of the applicant. Motivational letter (1-2 pages) on entrance to the Program. Recommendation of the professor of mathematics, informatics, director of software engineering company, or head of information technology department of state organization. Till July, 12 the procedure of selection of applicants for testing passing is carried out. Till July, 20 the interview with committee of leading professors of the Chair of General Informatics DIT NSU is carried out (on site or via remote conferencing (Skype/Hangouts)). Features of this interview are reflected in the following section of the Program. Till July, 25 the admittance to the Program occurs. Curriculum First year, Fall Semester Obligatory Сourses Operations Research Data Mining Tools and Languages Storage Technologies Philosophy of Data Science Business Analysis Team Management Knowledge Management First year, Spring Semester Project Management Machine Learning Natural Language Processing Frontiers of Data Science Elective courses Data Warehouses Programming in Scala Decision Making Theory Processing Big Data with Cloud tech Second year, Fall Semester Obligatory courses Academic writing Signal Processing Virtualization and Consolidation Elective courses Biomedical Engineering Algorithm Analysis Project Management with TOC Product Management and Entrepreneurship Second year, Spring Semester Pregraduation practice Master Thesis During the all period R & D practice Scientific workshop Master dissertation Example subjects to work on Development of a system for predicting blood sugar levels based on machine learning Developing a subsystem for retrieving event data. Development of a module of an expert system for analysis and monitoring of communications, solving the subscribers identification problem Developing Big Data platform for cognitive analysis The application of the principle of rival similarity search for significant features in the processing of large amounts of data (Big Data) Training base Each student can select a domain of his own interest. Courses specified for domains are served by companies, which have a great experience in applying data analysis technique to solve innovative problems. Chair of General Informatics of Information Technology Department at NSU Expasoft LLC., Exploratory Systems LLC., Futurolab LLC., UniPro LLC., Novel Software Systems Company (LLC.), Development Group (LLC.) Institute of fundamental medicine and physiology SB RAMS Institute of Cytology and Genetics Budker Institute of Nuclear Physics Eyeline Communications CIS Alawar Entertainment Sobolev Institute of Mathematics Fees and Financial support Tuition Fee $5200 per year Scholarships We are seeking candidates for 2016 Russian Government Scholarship Program, which is a 2-year scholarship Master's program and 3-year (or 4-year) scholarship PhD program. NSU offers 43 scholarships. Benefits: full tuition, monthly stipend. Application deadline: June 15, 2017 Career opportunities There are several possibilities: to work for University, Research Institutes of Russian Academy of Sciences, or to work for IT-business, such as our companies ExpaSoft, UniPro, Inteks, Parallels and so on. All our students have a part time work in IT-company during the tuition period. In addition, you can find that many of our alumni works for Yandex, Google, Microsoft, Parallels and Intel. Near the University, there is an R&D division on Intel Corporation. [-]

Master in Big Data Solutions (MBDS)

BTS Barcelona Technology School -Master in Big Data Solutions-
Campus Full time 9 months October 2017 Spain Barcelona

The power of data is transforming every sector, that is why the Master in Big Data Solutions gives you the analytic skills that prepares you create strategic solutions to lead this transformation. [+]

Masters in Big Data. The power of data is transforming every sector, that is why the Master in Big Data Solutions gives you the analytic skills that prepares you to create strategic solutions to lead this transformation. WHAT WILL I LEARN? The objective of the Master in Big Data Solutions is to prepare you to get a valuable vision of data, understanding the insights that will permit you to boost innovation. You will be able to use the most innovative and advanced data and analytic technologies, while you develop skills in areas such as Data Driven Business, Infrastructure & Cloud, Data Science, Data Analytics or Data Visualization & Exploitation, among other subjects. DURATION Starting in October 2016, the Master in Big Data Solutions has a duration of 9 months. It is an international program, taught in English that covers 60 credits – ECTS, awarded by a leading University. READY FOR A BIG DATA CAREER As a Master in Big Data Solutions student you will have access to the most innovative and advanced data and analytic technologies. These tools will allow you to recognize insights and drive innovation in any sector or organization. INTERNSHIPS & JOBS OPPORTUNITIES Being a Master in Big Data Solutions student, you will have the opportunity to live a professional experience in Barcelona. BTS offers to all the participants the chance to enter in top leading digital companies with paid internships and job offers. Gartner forecasted more than 4 million Big Data job positions. Sectors such as Health care, Finance, Technology, Public Administration, Internet of Things, Marketing, among others, are looking for talent ready to boost innovation through Big Data. HOW TO APPLY If you are passionate about Big Data, you would like to access to job opportunities, develop the best digital talent and have a master experience in Barcelona, we’ll need from you: Application Form Find it in BTS website: www.barcelonatechnologyschool.com Motivation Letter & CV Candidates must send to the admissions office their CV as well as a motivation letter explaining how do they think Big Data will impact the digital industry in the next five years and how do they could contribute to this digital transformation. You can submit this documentation directly to info@barcelonaitschool.com Interview Our admission board, as well as the director of the program, will analyze your candidature and if you meet the profile of Barcelona Technology School, we will call you to have a chat. [-]

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. [+]

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 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. [+]

Masters in Big Data. 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 in High Performance Computing and Big Data Analytics

UNIVERSITATEA BABEȘ-BOLYAI
Campus Full time 2 years October 2017 Romania Cluj-Napoca

The master’s program aims at providing students with the appropriate tools for further doctoral studies and professional activity... [+]

The master’s program aims at providing students with the appropriate tools for further doctoral studies and professional activity. Programme objectives Acquisition of theoretical, applicative and practical knowledge in: - complex systems modelling based on mathematical concepts and methods, and on programming concepts and techniques. - programming and usage on/of computation systems, especially those of high performance, which are necessary for solving real life problems and for simulating complex problem solutions. - exploitation (data-analysis, knowledge-discovering) and visualization of „big data” for computation problems, statistical interpretations, decision processes, or for scientific instruments. - applicative scientific domains where high performance systems are used. - analysis and improvement of software processes. - professional modelling for team work as well as interdisciplinary approaches to research and development. Core courses - Programming Paradigms - Parallel and Distributed Operating Systems - Formal Modelling of Concurrency - Advanced Methods in Data Analysis - Functional parallel programming for big data analytics - Models in parallel programming - General Purpose GPU Programming - Workflow Systems - Resource-aware computing - Data Mining - Grid, Cluster and Cloud Computing - Knowledge Discovery in Wide Area Networks Admission requirements Bachelor degree in Computer Science, Computer Engineering, Computer Science in Economics Tuition fees Students coming from: - EU/EEA – 3000 RON / year - Non-EU countries – 3000 EURO / academic year [-]

Master of Science in Computer, Communication and Information Sciences - Signal, Speech and Language Processing

Aalto University
Campus Full time 2 years August 2017 Finland Espoo

The purpose of the major is to provide the students with basics of either signal processing or speech and language processing and the ability to apply those in various fields of science and technology. [+]

Masters in Big Data. Study programme The purpose of the major is to provide the students with basics of either signal processing or speech and language processing and the ability to apply those in various fields of science and technology. Students focusing in Signal Processing are given a strong theoretical background of modern signal processing. This means a toolbox of knowledge on signals and systems modelling, representation through transforms, systems optimization and implementation. Some emphasis is on the most recent research priorities in the field of signal processing in domains of data analysis, compression and storage, communications as well as in representation of signals. In addition, students can obtain even deeper understanding of signal processing and adjacent sciences, or apply signal processing in other fields. Interesting applications include radar systems and networks, data transmission, sensing and tracking of objects and spaces, as well as analysis of technical (machine based) and social (human based) networks. The cyber level of the smart power grid is increasingly important for efficient energy distribution and utilization, offering a platform for applying signal processing methodology for solving essential problems of great societal impact. Students focusing in Speech and Language Processing are provided basics of that field and the ability to apply those in various fields of science and technology. Speech and language processing utilizes signal processing, mathematical modeling and machine learning for statistical language modeling, information retrieval and speech analysis, synthesis, recognition and coding. Applications and research priorities have recently been, for example, speech recognition and synthesis, dictation, subtitling, machine translation, language learning, large-scale video data indexing and retrieval, speech coding and quality improvement in mobile phones and networks as well as in medical research of the human voice. Tuition fees and scholarships Non-EU/EEA students selected in the application round 2017 will be charged tuition fees. Admission requirements General admission requirements The general eligibility requirements are the same for all Master's programmes in the field of science and technology. Please see also the requirements concerning language skills. Eligible applications are then sent to the academic evaluation described in more detail below. Programme-specific admission requirements Applicants to the programme must first meet the general eligibility and language requirements that are common to all Master’s programmes in Science and Technology. Admission criteria to the CCIS programme is a high quality Bachelor’s degree in computer science, software engineering, communications engineering, or electrical engineering. Excellent candidates with degrees in other fields such as information systems, engineering, natural sciences, mathematics or physics will be considered if they have sufficient studies and proven skills and knowledge in the required areas. Required background: mathematics (linear algebra, calculus, probability theory, statistics) programming skills algorithms and data structures software engineering signal processing Knowledge of the following areas is considered an advantage: speech and language processing pattern recognition machine learning project and team work Application documents In addition to the compulsory application documents, the applicants are requested to provide the following, additional documents: at least one original recommendation letter (preferably academic) course descriptions of courses taken in relevant subject areas (see the subject list above) work certificates and certificates of other relevant achievements copies of any publications official transcript of records for other university studies which are not included in the mandatory part of the application GRE or GMAT test results, if available The application should explain full educational history of the applicant. Applicant’s motivation letter (compulsory part of the online application form) should be written in English. For purposes of study guidance, the applicants are asked to indicate already on the motivation letter which track they wish to follow. Also additional application documents described above (recommendations letter(s), course descriptions, work or other certificates, and publications) should preferably be submitted in English. If some other language than English, Finnish or Swedish is used in them, the applicant must provide precise, word-for-word translations of them. [-]