MS in Data Analytics and Visualization

Yeshiva University

Program Description

MS in Data Analytics and Visualization

Yeshiva University


Modern businesses need skilled experts to sift through and interpret mass amounts of data in order to inform strategy and help guide decisions. Designed for highly motivated individuals interested in building their quantitative, design, and business skills, the Katz School's MS in Data Analytics and Visualization focuses on data management, modeling, interpretation, and reporting, as well as algorithm development and data science.

You can complete your degree in as little as one year on a full-time schedule or at your own pace part time — either on campus or online. Through project-based coursework, you will gain the experience and insights to effectively interpret and leverage data. You will build an impressive portfolio of projects that will demonstrate the equivalent of five years of work experience in the short time it takes to earn your degree.

Learn the science behind the skills: build predictive and descriptive models and uncover reliable, repeatable patterns hidden in data.

Become a Data Analytics Expert

  • Learn by doing from accomplished practitioners, data scientists, and researchers.

  • Master foundational and emerging data analytics and visualization principles, practices, and techniques.

  • Develop increasingly complex data projects and create models to explore contemporary topics such as finance, energy consumption, online purchases, consumer behavior, fraud, or even disease and epidemics.

  • Apply the fundamentals of practical statistics, engineering, math, and data science to corporate and open-sourced data sets.

  • Connect with Yeshiva's extensive network of alumni and employers, as well as leading data professionals in New York City.

  • Earn your master’s degree from a Top 100 University located in the heart of New York City.

Featured Courses

Designed by and for industry professionals, the MS in Data Analytics and Visualization curriculum focuses on practical applications rather than theory. Our coursework features corporate-sponsored projects that will enable you to solve simulated and real-world business problems, learn best practices, and gain mastery of the latest analytical tools.

  • Visual Storytelling

Analysts must present their data in effective and compelling visualizations. This course combines the best heuristics for data presentation with hands-on experience in creating spreadsheet charts and data visualizations from a variety of source data. Students will learn how to combine text and visualizations to craft stories that promote deeper engagement with data analyses and conclusions.

  • Data Product Design

Successful entrepreneurs and consultants create value. Data analysts who can work alongside or act as value architects create more organizational value, more quickly. Today, this means using data, analysis, and experimentation to better understand customer goals and preferences. In this course, students learn analytical frameworks for using data in the service of customer insight, customer development, value proposition refinement, and product development.

Who Should Apply?

The Katz School's MS in Data Analytics and Visualization is ideal for ambitious individuals who want to strengthen their skills in computer science, data science, mathematics, and design in order to leverage data and drive business growth.

All of our students should have a demonstrated passion for working with data. While most of our students will have had some data-related work experience, students without work experience but with strong quantitative and/or design-oriented academic backgrounds are welcome to apply.

Careers

Graduates of the program will be prepared for a career as:

  • Analysts,

  • Data Scientists,

  • Product Managers,

  • Startup Founders,

  • and more.

Curriculum

As you progress through the Katz School’s 30-credit MS in Data Analytics and Visualization program, you will develop a work-ready portfolio of projects and deepen your understanding of the core principles, patterns, and practices of data science and visualization. The MS can be completed in as quickly as 12 months, or part-time at a pace that makes sense for you. To earn your degree, you must complete 21 credits of required foundational courses, including a capstone project, as well as nine elective courses, which may include an internship.

Core Requirements (21 credits)

Course

Credits

Analytics Programming

3

Computational Math and Statistics

3

Project Management for Data Science

3

Spreadsheet Modeling and Analytics

3

Structured Data Management

3

Visual Design and Storytelling

3

Capstone

3

Electives (choose 9 credits)

Course

Credits

Data-Driven Organizations

3

Data Product Design

3

Data Science

3

Information Architectures

3

Talent Analytics

3

Independent Study

1–3

Internships

1–3

Special Topics

1–3

Program Director

Andy Catlin - Director, MS in Data Analytics and Visualization

Andy Catlin is an entrepreneur in data analytics and data science who has co-founded several successful startups, including Citigate Hudson (a custom advanced analytics provider now known as twentysix New York), Metrics Reporting (a company that provides job performance data to employers), and Mad Dog Data Science (a provider of process-oriented data for companies). He has led teams that have built analytics applications for the National Football League and several NFL teams, as well as international banks like Donaldson, Lufkin & Jenrette and ABN AMRO, and other global iconic organizations including Microsoft, Reuters, and Bloomberg.

Admissions

Successful candidates must exhibit the potential to excel in this demanding field and meet the following qualifications:

  • Bachelor’s degree from an accredited college or university,

  • Completion of at least one calculus course, one statistics course, and one programming course, each with a grade of B or better.

To apply for the MS in Data Analytics and Visualization, you must submit the online application along with:

  • Current résumé that demonstrates a strong interest in working with data,

  • Official undergraduate transcripts,

  • A personal statement describing your goals for pursuing the MS in Data Analytics and Visualization,

  • Two letters of recommendation,

  • TOEFL score (if your undergraduate degree was completed at an institution where courses were not taught in English),

  • Challenge Exam.

All MS in Data Analytics and Visualization applicants are required to complete an online challenge exam that will help us evaluate your readiness for the program. We will send you this exam during the application process.

Bridge Workshops

If you lack prerequisite courses or need to brush up on certain subjects before you can begin, you may be conditionally accepted. Full acceptance is contingent upon successful completion of one or more of the following three-week, online workshops:

  • Spreadsheet Basics

  • Fundamentals of Programming

  • Fundamentals of Database

  • Data Analytics Math

The bridge workshops are free for students who have been accepted into the Data Analytics and Visualization program or another graduate program in The Katz School.

This school offers programs in:
  • English


Last updated April 18, 2018
Duration & Price
This course is
Online
Campus based
Start Date
Start date
Sept. 2019
Duration
Duration
12 - 24 months
Part time
Full time
Price
Price
Information
Deadline
Locations
USA - New York, New York
Start date : Sept. 2019
Application deadline Request Info
End date Request Info
Dates
Sept. 2019
USA - New York, New York
Application deadline Request Info
End date Request Info
Videos

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