Masters Programs in Big Data

Compare 32 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 of Business Statistics

Hult International Business School
Campus Full time 1 year August 2017 USA San Francisco

As the role of big data becomes increasingly important, a one-year Hult Master of Business Statistics degree equips you with the analytical and business capability to translate data statistics and analysis into action. [+]

Masters in Big Data. Learn how to translate big data and analysis into action—and qualify for a 3-year OPT working visa in the U.S. As the role of big data becomes increasingly important, a one-year Hult Master of Business Statistics degree equips you with the analytical and business capability to translate data statistics and analysis into action. Locations Start your Master of Business Statistics in San Francisco, then choose to take electives at any other two campuses as part of Hult's unique Global Campus Rotation. Your Master of Business Statistics at a glance Who is this program for? For candidates who have recently graduated from university or college, as well as individuals with up to three years of work experience who want to influence business decisions and strategy through harnessing the predictive capabilities of data and business analytics. Non-U.S. residents who receive a Master of Business Statistics will also qualify for up to three years of OPT (Optional Practical Training) in the U.S. after their studies. OPT is normally 12 months, so the degree is particularly well-suited to those hoping to experience work in the U.S. after their degree. For more details, please contact us. What you’ll learn Companies such as Google, Facebook, and Amazon have demonstrated the profitability of harnessing the predictive power of large-scale consumer data. In this new world of information overload, employers actively seek candidates who have the ability to translate data into actionable solutions. Hult’s one-year Master of Business Statistics degree will place you at the intersection of statistical analysis and business knowledge so that you can make meaningful, impactful contributions. Why Hult? At Hult’s San Francisco campus, you’ll learn how to harness the power of information near some of the most prestigious professional names in big data. Within just miles of campus you’ll find the San Francisco headquarters of both Google and Twitter, two giants leading the transformation of how businesses leverage big data. Bright minds will also follow you into the classroom. Hult professor Olaf Groth, for example, worked for global enterprises like Vodafone and Boeing before launching his own consultancy, and he brings that experience into the classroom teaching global strategy. Curriculum Core courses form the backbone of your Master of Business Statistics curriculum. You will study them throughout modules A – C. Immersion Your Master of Business Statistics program begins with a three-week Immersion. Immersion is the first course in all our Master degree programs and lays the foundations for a successful year. It is a combination of learning academic fundamentals, teamwork, and forging a sense of community among classmates.You will also have the opportunity to orientate yourself to life at Hult and your new home city. The Immersion course prepares you to develop into well-rounded business professionals over the duration of your program and provides the knowledge and skills required to apply a competency-based approach to leadership development. You'll end the course with a capstone simulation which introduces you to complex, integrated high-level business problems in a true-to-life team format. You'll develop and execute a corporate growth strategy, managing all functional areas of a business. Core courses For your first three modules, your core courses will focus on the fundamentals of business statistics and analytics —taught from a global perspective. You will then tailor your final two modules to your individual interests and career goals with electives that your can choose to take at any of our six global campuses. Computer Programming for Business Statistics I Statistical Modeling Predictive Analytics Data Strategy and Visualization Computer Programming for Business Statistics II Optimization Machine Learning Data Mining Applied Data Analytics Data Analysis Project Storytelling Through Data Business Intelligence Data Science & Ethics Electives As part of your Master of Business Statistics, you will have the opportunity to take four electives of your choice once you have successfully completed all of the core courses. These electives allow you to tailor the program content to your personal and professional goals. Practical application: Simulations & The Hult Business Challenge Applying business theory in realistic scenarios is central to all aspects of the Hult curriculum. Classes are enriched with practical application at every opportunity and skills are put to the test with both virtual and real-world projects. Career development Navigating an international job search requires an individual approach. At Hult, we are experts in international student placement and work one-on-one with you to craft a tailored career strategy. Career Fast Track The earlier you start your job search, the greater your chance of success. Our Career Fast Track program enables you to have everything in place so you can start applying for jobs as soon as you arrive on campus. Before you start your program at Hult, you'll have access to software that gives you a line-by-line resume review, webinars on resume writing, global market employment trends, and creating a targeted job-search strategy. So when you arrive on campus you can concentrate on your studies, networking opportunities, and begin your job search straight away. Line-by-line resume reviews Webinars on global employment trends, personalizing your job search, and how to get your resume to a globally competitive standard Interactive sessions with expert Careers Advisors Personalized support We work one-on-one with you to craft a tailored career strategy and give you the tools to execute it. Coaching Throughout your program, you'll attend workshops and coaching sessions to equip you with essential knowledge and skills in areas like LinkedIn optimisation, personal branding, negotiations, interview preparation, and job search strategy. Advice You'll be assigned a personal Careers Advisor who will work with you one-on-one to help you position yourself to enter your target location and industry. They can advise you on everything from visas to job applications and long-term career paths. You also have the opportunity to have an alumni mentor. Events There is a packed schedule of career events that bring companies to campus to present, network, and recruit, as well as alumni mixers, expert guest speakers, and career open house events. Post-graduation Your career development doesn't stop when you graduate and neither does Hult's support. Constantly stay connected Your alumni network is one of your biggest assets. Hult Connect is an online portal that allows you to link with the 16,000 Hult alumni working in every major industry in every corner of the world. You'll also have access to our global job board so you can continue to take advantage of our relationship with the world's top employers seeking talent. Hult's Alumni Mentorship Program provides you with an opportunity to be a part of coaching the next generation of leaders coming out of Hult. Hult Connect, the online portal for our 16,000+ alumni network Alumni Mentorship Program Global job board and networking events Lifelong education Change never stops, so your business learning shouldn’t either. We empower you to stay up-to-date with emerging trends by taking a complimentary elective each year for the rest of your life. One elective a year, on us. Most careers span decades and critical skills can change as you progress in seniority. The rapid pace of change also means future critical business knowledge might have simply been impossible to learn during your program. Before 2004 there was no Facebook or YouTube; neither the iPhone nor Airbnb existed prior to 2007; and yet understanding the impact of these innovations is critical for business success today. At Hult, you can refresh a skillset or get up to speed in a new business trend by enrolling in one elective a year at any of our global campuses. There’s a small registration fee, but the course is otherwise free of charge. Executive education options for life. Instead of studying an elective, every year Hult alumni can enroll in a range of leadership Summer Executive Education Programs at our historic Ashridge Estate campus in Berkhamsted, U.K. Courses feature a range of leadership and development programs, and are taught by experts with practical, theoretical, and commercial experience. There’s a small registration fee, but courses otherwise cost over $10,000 so the savings over time for Hult alumni are significant. Admissions & fees Hult takes a holistic approach to reviewing your application. In addition to academic achievement, we look for cultural awareness, leadership potential, and a drive to succeed. [-]

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 [+]

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 Data Science

Bologna Business School
Campus Full time 12 months December 2016 Italy Bologna

The Master in Data Science is designed for recent graduates interested in management and data analysis and whom would like to take on a role which is central to any business and its value creation: the Data Scientist, having already become one of the most sought-after experts in the professional world. The data business is becoming a key sector for the European economy, the development of products and... [+]

Masters in Big Data. The Master in Data Science is designed for recent graduates interested in management and data analysis and whom would like to take on a role which is central to any business and its value creation: the Data Scientist, having already become one of the most sought-after experts 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. In one word: Big Data, but not exclusively. Companies, in fact, have both a need and an urgency to manage the acquisition, presentation, sharing, analysis and visualization of data. The 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, am understanding of the technological aspects and knowledge of business dynamics. This Master creates professionals with across-the-board skills whom are able to relate with the company’s management. The program concludes with a Field Laboratory Work and a company internship. 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 three terms: First cycle: December 2016 – April 2017 Second cycle: April 2017 – July 2017 Internship: August 2017 – December 2017 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. Fees The tuition fees for the 2016/2017 academic year are 14,800 euros to be paid in several instalments, the first one upon enrollment. The fees cover all academic materials via the online learning platform, all the facilities of the Alma Bologna Business School including use of the computers and secure personal Wi-Fi accounts, access to the study areas and gym, as well as student discount in the School’s cafeteria. Free parking is also available within the grounds of the School. In addition, with your University of Bologna Student Card you will have access to all university facilities with more than 100 libraries (including online subscriptions and databases), the 3 city centre canteens and all university student related discount offers. Scholarship/Financial Aid At Bologna Business School we understand the importance of financial aid in supporting our students in achieving their educational goals. We are aware that an advanced, high quality training path can be a significant commitment but we also truly believe that investing in one’s future always pays back. Bologna Business School is pleased to offer partial scholarships to the most meriting students: there are scholarships of 6,000 euros each and scholarships of 4,000 euros each. All applicants will be considered for a scholarship – no specific application is required. Thanks to the agreement between Bologna Business School and Intesa Sanpaolo, participants are eligible to apply for “PerTe Prestito Con Lode”, a long-term and low-interest honor loan. Main characteristics: Loan amount equal to the enrollment fee Reduced interest rate No collateral required Repayable in 10 years Without early closing fees [-]

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 [-]

International Master in Business Analytics & Big Data (BABD)

MIP Politecnico di Milano School of Management
Campus Full time 12 months September 2017 Italy Milan

Business Analytics and Big Data is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, being in constant relationship with the Big Data Analytics & Business Intelligence Observatory of Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management. This truly unique programme is jointly offered by MIP and CEFRIEL - Politecnico di Milano and it is in partnership with IBM. [+]

Masters in Big Data. In partnership with CEFRIEL Start date: September Format: Full Time Duration: 12 months Tuition fee: € 14,000 Language: English Location: Milan Admission Requirements: 3 or 4 year Bachelor's degree (minimum 180 ECTS) Business Analytics and Big Data is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, being in constant relationship with the Big Data Analytics & Business Intelligence Observatory of Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management. This truly unique programme is jointly offered by MIP and CEFRIEL - Politecnico di Milano and it is in partnership with IBM. With the Big Data revolution an ever-growing number of leading organizations and governments are launching big data initiatives to gain actionable insights, drive key decisions and improve performance across all business functions. Welcome to the International Master in Business Analytics and Big Data designed to train a new generation of data-savvy professionals able to manage complex business analytics problems across a variety of different industries and environments. This truly unique programme is jointly offered by MIP and CEFRIEL- Politecnico di Milano. Be prepared for the jobs of the future as Business Analyst and Big Data Manager. The Partners MIP Politecnico di Milano: a global business school accredited by EQUIS, AMBA, EFMD and ranked by the Financial Times amongst the best European business schools, further complemented by it's deeply rooted knowledge and reputation in the luxury value chain management. The quality of the competencies expressed are also supported by the strong links developed with the Faculty of Engineeirng and Design of Politecnico di Milano, which is the largest one in Europe. CEFRIEL – Politecnico di Milano is a not-for-profit center of excellence in the field of Digital Innovation, established by Politecnico di Milano in 1988. CEFRIEL shareholders include Universities, Public Administration, and leading multinational companies in ICT and Media sectors. Since its inception, CEFRIEL mission has been to strengthen existing ties between the academic and business worlds through a multidisciplinary approach that innovates products and services with ICT and Design. CEFRIEL competences span all areas of ICT expertise, from microelectronics to the most advanced user experience models, addressing both technological and project management issues. CEFRIEL is actually able to merge technical and design skills with business and process expertise, thus working side by side with companies to create innovative and one-of-a-kind solutions, and offering advanced educational programs to graduate students and innovation executive professionals. Moreover, the center actively participates in European research projects and contributes to the dissemination of their results. CEFRIEL offices are located in Italy and USA, Cincinnati (Ohio), so to address the growing innovation demands both of its national and international clients. IBM is a globally integrated technology and consulting company headquartered in Armonk, New York. With operations in more than 170 countries, IBM attracts and retains some of the world's most talented people to help solve problems and provide an edge for businesses, governments and non-profits. Innovation is at the core of IBM's strategy. The company develops and sells software and systems hardware and a broad range of infrastructure, cloud and consulting services. Today, IBM is focused on five growth initiatives - Cloud, Big Data and Analytics, Mobile, Social Business and Security. IBMers are working with customers around the world to apply the company's business consulting, technology and R&D expertise to enable systems of engagement that deliver dynamic insights for businesses and governments worldwide. WHO IS IT DESIGNED FOR? The programme is specifically conceived for graduates who wish to acquire and develop advanced quantitative skills to analyze data describing transactions, interactions or people's behavior, in order to extract relevant insights, optimize actions and drive innovation. Students backgrounds reflect the dual focus of the master, coming from computer science, economics, engineering, management, mathematics, science or statistics. While having different academic backgrounds, students all share a deep interest in analytics and big data technologies for creating business value. Relevant career positions revolve around the roles of data scientist, business analyst and big data manager, and might include among others: Data Users: Business folks in the end user corporate community able to exploit insights from data to make better decisions. Data Producers: Data analysts able to use the appropriate tools to convert analytical problems into analytical solutions. Data Interpreters: Professionals able to understand both users and producers establishing a successful communication among them. Modules The course is entirely taught in English and has a duration of 12 months starting in September. The programme is divided into seven major modules: General Management, Data management and Warehousing, Foundamentals of Statistics and Data Visualization, Predictive Analytics and Business Applications, Analytics for Management and Electives. The master will end with the Project Work to present. Admissions IDEAL CANDIDATES FOR THE PROGRAMME The International Master in Business Analytics and Big Data is specifically designed for young graduated talents that want to be prepared for the jobs of the future as Business Analyst and Big Data Manager. Students with 3 or 4-year Bachelor's degree (minimum 180 ECTS) in the areas of Computer Science, Economics, Engineering, Management, Mathematics, Science or Statistics from Accredited Institutions are eligible for the programme. APPLICATIONS FOR THE 2016 PROGRAMME Applications for the September 2016 intake are now closed. Applications for the September 2017 intake will open in September 2016. Non-EU students are encouraged to apply at least three months before the start of the programme in order to allow enough time for the Declaration of Value (DOV) procedure for Italy and establishment of the student visa. If you would like more information about the International Master in Business Analytics and Big Data, please download our programme brochure by clicking the link, or write to infomasters@mip.polimi.it and we will respond to your requests in a timely fashion. Visit the BABD Frequently Asked Questions page to find out more! [-]

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. [-]

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 Data Science (DSC)

EIT Digital Master School
Campus Full time 2 years September 2017 Spain Madrid Finland Espoo United Kingdom London France Paris Sweden Stockholm Italy Trento Germany Berlin Hungary Budapest Netherlands Eindhoven + 16 more

Data abounds: social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us. [+]

Why study Data Science? Data abounds: social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us. What are the carier opportunities for Data Science graduates? Become a professional for a career in a highly innovative area: data science. The profession in Data Science is hailed as the “… Sexiest Job of the 21st Century,” by Harvard Business Review in October 2012. The Data Scientist is a professional who simultaneously possesses breadth and depth in scalable data management, data analysis, and domain area expertise, and who is capable of solving real-world problems. This is an opportune time to pursue training in both a challenging and rewarding new field. Join us and embark on a journey of a lifetime! Why Data Science at EIT Digital? Getting value, meaning and answering big questions, are the ultimate goals of Learning Data Science at EIT Digital. Mazen Aly Data Science Master student Eindhoven University of Technology Study Data Science at EIT Digital, where education is provided by renowned universities and where entrepreneurial data scientists of the future are come to being! Farideh Heidari Data Science Coordinator What is Data Science Master at EIT Digital all about? The newly established Data Science Master’s offers a unique academic programme, whereby students can study data science, innovation, and entrepreneurship at leading European universities. In this programme, students will learn about scalable data collection techniques, data analysis methods, and a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, and visualization, and related concepts (e.g., data access, pricing data, and data privacy). How is the programme structured? The first year will be similar at all three DSc entry point universities: Universidad Politecnica de Madrid (UPM), Eindhoven University of Technology (TU/e), and Universite Nice Sophia Antipolis (UNS) with foundations courses, such as data handling, data analysis, advanced data analysis and data management, visualization, and applications. The second year will enable students to concentrate one of six technical specialisation areas of their own choosing. See: specialisations below. An important part of the programme are the Innovation and Entrepreneurship (I&E) courses. The I&E basics course provides an introduction to business & management. Students participating in the DSc track are offered an internship with an industry partner or research centre of the EIT Digital to work on their thesis project. Directly linked to the master thesis is the I&E minor thesis that specifies the requirements, strategy and business plan for the selected thesis project. Students participating in the DSc track are offered an internship with an industry partner or research centre of the EIT-Digital to work on their thesis project. Directly linked to the master thesis is the I&E minor thesis that specifies the requirements, strategy and business plan for the selected thesis project. Where can I study if I choose Data Science? Entry - 1st year Eindhoven University of Technology (TU/e) Universidad Politecnica de Madrid (UPM) Universite Nice Sophia Antipolis (UNS) Exit - 2nd year, specialisation Internet of Things (IoT) at UPM Multimedia and Web Science for Big Data at UNS Process Mining at High Tech Systems, Healthcare, Visual Analytics or Big software at TU/e Distributed Systems and Data Mining for Really Big Data at KTH Design, Implementation, and Usage of Data Science Instruments at TUB Specific Admission Requirements A B.Sc. degree in electrical engineering/ electronics, computer engineering, computer science or information technology is required. The studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics including calculus, algebra and mathematical statistics. [-]

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 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 2 in Econometrics and Empirical Economics (EEE)

Toulouse School Of Economics TSE
Campus Full time September 2017 France Toulouse

The EEE M2 program provides in the first semester a solid training in microeconometrics, time series, panel data models, non-parametric methods, large dimension statistical tools, computer programming, and database management system. [+]

Masters in Big Data. Aims and Scope This master aims at providing econometric and empirical analysis tools combined with strong skills in using large data sets in order to perform deep studies in a broad area of economics. The EEE M2 program provides in the first semester a solid training in microeconometrics, time series, panel data models, non-parametric methods, large dimension statistical tools, computer programming, and database management system. In the second semester, students apply these training to do empirical studies in industrial organization, finance, public policy evaluation programs, health and insurance, data analytics and big data. Courses are taught in English by TSE faculty members with well-established international reputation in econometrics, empirical economics, industrial organization, and finance among others. This training is completed with an empirical project done during the whole year in a group of students. Admission Admission is based on academic excellence. An undergraduate degree of at least 4 years of college or a Master’s degree is required with a curriculum considered as consistent with the program and approved by the TSE selection committee. Working knowledge of English is also required. Application deadlines: Applications are considered from November to the end of February for international students and in April/May for French University graduates. Fees 5500 euros + 256 euros : Master registration fees + 215 euros: Social Security Scholarships: Some Master scholarships will be awarded to Master students according to academic and individual criteria [-]

MS Computer Information Systems

College of Saint Rose
Campus Full time 3 semesters January 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 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). [-]

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 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... [+]

Masters in Big Data. 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 [-]