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Masters Degrees in Numerical Analysis, USA

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Master of Business Statistics. SAN FRANCISCO. Hult is the world’s most international business school with campuses and rotation centres in Boston, San Francisco, London, Dubai, Shanghai, and New York. Read more
Master of Business Statistics
SAN FRANCISCO

Hult is the world’s most international business school with campuses and rotation centres in Boston, San Francisco, London, Dubai, Shanghai, and New York. With Hult’s Global Rotation program, students have the opportunity to select their home campus and then spend up to three months studying at two others.

Only Hult allows you to complete your Master while immersing yourself in up to three of the world’s most influential cities. The U.S. demand for scientific graduates means Master of Business Statistics students can receive up to a three-year U.S. working visa (OPT) post studies.

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Columbia University’s new Master of Science in Applied Analytics empowers you to assess the application of an organization’s data and analytics. Read more
Columbia University’s new Master of Science in Applied Analytics empowers you to assess the application of an organization’s data and analytics. You will learn how to define and frame analytical problems, how to decide which data are collected and what analyses should be performed, and how to communicate and work with analysts on solutions that are technically sound as well as valuable to the organization. Available part-time and full-time, the program is anchored by three week-long courses on Columbia’s campus in New York City that feature networking, group exercises, and guest lecturers. Between these courses, you will complete additional coursework on campus or online through a networked learning platform. For your final capstone project, you will apply your knowledge to develop a real-world analytics project sponsored by a leading organization.

Program Structure

The program consists of required courses in two core areas. The Leadership, Management, and Communication Core develops an enterprise-wide perspective on data and the knowledge, skills, and abilities needed to inspire, create, and foster an analytical culture within an organization. The Applied Analytics Core develops a broad understanding of the frameworks for the use of data to inform real-life business problems from data collection to application in decision-making. This core introduces you to the methods and range of tools and systems that organizations use to conceptualize, collect, manage, and analyze data to produce information to make it actionable across their enterprise.
For your elective study, you will align the foundational skills you've developed in the two core areas with three courses you choose that are pertinent to your academic and professional goals. Elective courses in a wide range of subjects, including business, finance, marketing, information visualization, collaboration, communication, and negotiation, let you obtain in-depth knowledge in a particular industry or functional area within an organization.
Completing your Integrated Capstone Project, you will apply what you have learned in the two core components to a real-world analytics project sponsored by a leading organization.
Students requiring an F1 visa must enroll full-time (12 credits) and study on campus. Students on an F1 visa are permitted to complete no more than one online class each semester. Students not on an F1 visa have the flexibility to enroll in courses online or on-campus. For these students, if desired, 68% of the coursework can be completed online. The program offers one core course each semester in a block week format at a Columbia University location in New York City which reduces the amount of time on campus for students located outside the New York metropolitan area.

For more information on the program structure please visit the website: http://sps.columbia.edu/applied-analytics/master-of-science-in-applied-analytics/curriculum

Funding and Financial Resources

We want to make sure that the cost of your continuing education and professional studies do not stand in the way of your goals.
Most students at the School of Professional Studies use a combination of savings, scholarships, loans, outside grants, sponsors, or employer tuition benefits to cover the cost of attendance. However you choose to finance your education, consider it an investment in your future, and know that we, in conjunction with the Office of Student Financial Planning, are here to help and advise you along the way.

For more information on available funding please visit the website: http://sps.columbia.edu/applied-analytics/master-of-science-in-applied-analytics/tuition-and-financing/financial-resources

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Opportunities in the field of business analytics have exploded as major organizations have adopted data-driven and technology-focused strategies across nearly every industry. Read more

Start Your Career in the High-Demand Field of Analytics

Opportunities in the field of business analytics have exploded as major organizations have adopted data-driven and technology-focused strategies across nearly every industry. In the Wake Forest Master of Science in Business Analytics (MSBA) program, you will learn advanced methodologies to apply analytics to business challenges across a range of functions, including finance, marketing, operations and human resources. You will also learn the language of business and how to work successfully in teams while effectively communicating the results of your analysis. Bottom line – we develop problem solvers that can take data from insight to impact, and can add value to any organization from day one.

Program Highlights include:

Real-world experience
Focus on experiential learning projects with our corporate partners and in-class use of actual retail data from our unique Center for Retail Innovation corporate partnerships

Sharpen your skills
Differentiate yourself by building stronger communication, team work and leadership skills, and an understanding of the responsible and ethical use of data for making better decisions.

Innovative courses
Emphasis on training across the full spectrum of analytics methodologies with strong business knowledge from innovative courses such as Business Metrics and Analytics in the Boardroom.

The Wake Forest School of Business has designed the MSBA program with the input of our corporate partners to meet their industry needs. Their feedback is clear — we need performance-ready analysts who demonstrate business knowledge and exceptional communication skills.

Graduates of the Wake Forest MSBA program will be equipped with marketable skills valued by top employers:

• Ability to identify and define business problems that can be resolved through the use of data and analytics
• Knowledge to determine the proper analytical methodology to address current business challenges
• Expertise to properly conduct valuable analyses with a thorough understanding of the methodology and assumptions
• Confidence and ability to effectively communicate the results of those analyses to all stakeholders

STEM/OPT Certified

The Wake Forest MSBA program is STEM and OPT certified, providing enhanced employment opportunities for international students. The STEM and OPT certifications can allow students to work for nearly 2.5 years in the U.S. while working with companies to obtain a work visa. Optional Practical Training (OPT) is a period during which undergraduate and graduate students with F-1 Visa status who have completed or have been pursuing their degrees for more than nine months are permitted to work for one year in the U.S. on a student visa with the goal of gaining practical training to complement their education. STEM Certification allows a 17-month extension of the post-completion OPT, and is available to graduates of the Wake Forest MSBA program.

International students always have the option to use their training to pursue career opportunities within their home countries, or find U.S. companies seeking to fill positions overseas with MSBA graduates. The Wake Forest Market Readiness & Employment Center is available to all MSBA students to help define career objectives, improve interviewing skills and explore opportunities to launch the career you want.

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USF’s one-year Master of Science in Analytics (MSAN) program delivers a rigorous curriculum focused on mathematical and computational techniques in the emerging field of data science. Read more
USF’s one-year Master of Science in Analytics (MSAN) program delivers a rigorous curriculum focused on mathematical and computational techniques in the emerging field of data science. The curriculum emphasizes the careful formulation of business problems, selecting effective analytical techniques to address those problems and communicating solutions in a clear and creative fashion.

98% of MSAN students are employed within three months of graduation at companies such as Google, Williams-Sonoma, Amazon, Capital One Labs, Eventbrite, and Mozilla.

A Technically Challenging Curriculum

The program's challenging curriculum features seven-week courses designed specifically for MSAN students — they're not offered in other programs or departments. Students master subjects from computer science, statistics, and management such as regression, web scraping, SQL and NoSQL database management, natural language processing, business communications, machine learning, cluster analysis, application development, and interviewing skills. Students primarily use programming languages like R and Python in their classes and learn how to effectively use distributed computing technology such as MapReduce, Hadoop, and Spark, and become intimately familiar with cloud technology such as Amazon Web Services.

Practicum Program

Practicum projects allow students to work an average of 15 hours per week for nine months tackling data science and analytics problems at companies around the San Francisco Bay Area and beyond. Past and current partners include Uber, Airbnb, Eventbrite, Google, Capital One Labs, AT&T Big Data, Zephyr Health, and the Houston Astros. Groups of two to four students - supervised by MSAN faculty - work on a data-driven business problem and produce a defined set of deliverables.

Faculty

Our faculty represent the fundamental multidisciplinary nature of the big data industry. They’re traditional academics and data scientists actively working in the field, using real industry experience to inspire their instruction. Their areas of expertise include deep learning, natural language processing, databases, statistical modeling, network analytics, algorithms, unsupervised learning, machine learning, optimization, health analytics and signal processing.

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