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Data Analytics and Visualization

30 credits | Master of Science | Full or Part time | On Campus or Online | Evening Classes

Data analytics professionals shape organizational strategies and impact the bottom line by transforming quantitative data into qualitative insights. They also contribute to the greater social good, using data to address pressing challenges in healthcare, housing, poverty, education and transportation. In the Katz School's M.S. in Data Analytics and Visualization, you’ll learn to transform raw data into insightful output and master the underlying science of predictive and exploratory analyses, as well as techniques for creating visualizations and data narratives.

You’ll become proficient in-demand tools like Python, SQL/NoSQL, Tableau, AWS, ArcGIS and AutoML. And, unlike other data analytics programs, you’ll experiment with basic artificial intelligence and machine-learning techniques. Learn from world-class professionals and get real-world predictive and analytical skills in the heart of New York City. Generous scholarships and financial aid are available.

Data analytics jobs are plentiful, salaries are high and the career paths you can take are abundant. The U.S. Bureau of Labor Statistics offers several different classifications for data analyst salaries and growth: Financial Analyst, which pays on average $101,000; Market Research Analyst, which pays in the neighborhood of $71,500; and Big Data and Machine Learning. Data Analytics is expected to be a $512B industry by 2026, and the US job market was expected to add 364,000 new positions in business analytics, BI, data analytics and data visualization by 2020. With over 40,000 current openings in the field, companies large and small are seeking business analysts and data entrepreneurs who take an interdisciplinary approach to transforming data into a powerful, predictive and strategic asset. Yeshiva University’s M.S. in Data Analytics and Visualization prepares you for these in-demand analytics and data science careers. 

Highlights

  • Learn the science behind the skills: build predictive and descriptive models and uncover reliable, repeatable patterns hidden in data.
  • Get hands-on experience with structured and unstructured data, using corporate and open source datasets.
  • Build predictive and descriptive models and perform exploratory analyses in verticals such as e-commerce, marketing, social media, finance, real estate, sports, and healthcare.
  • Apply advanced analytics best practices to business problems: improve decision-making, build insights, penetrate new markets, reduce costly operations, and monetize data capabilities.

Gain industry experience in major companies, startups, and YU’s Innovation Lab through internships in Manhattan and elsewhere in New York that count toward your degree. Read more on the curriculum page or speak with an advisor.

Yeshiva University's master’s of science degree in Data Analytics and Visualization is a STEM-approved degree. International students may be eligible for up to 36 months of Optional Practical Training (OPT). The program also offers several opportunities for Curricular Practical Training (CPT).

Through the BA/MS option, undergraduates from Yeshiva and Stern College can take up to 9 graduate credits which will count towards both their bachelor's and master's degrees. After completing their bachelor's, students can finish their graduate degree in just one more year. 

  • Admissions criteria: Junior or senior standing in any YC/SCW undergraduate major with a minimum GPA of 3.2 and a minimum grade of B+ in the prerequisite courses listed below. Students can begin taking graduate coursework in their junior or senior year.
  • Prerequisites for graduate courses: One course in probability and statistics, one course in calculus, and one course in programming – all with a minimum grade of B+.

For more information, please contact Program Director Andy Catlin.

  • Flexible online and evening courses, so you can work full-time while completing your degree.
  • Top-notch research and industry faculty.
  • Career support and professional networking opportunities.
  • Small classes where you’ll get to know everyone by name.
  • Opportunities to gain industry experience through internships and fieldwork.
  • Generous scholarships and financial aid.