NYU Business Analytics Ranking: 10
Data plays a critically important role in decision making. Companies that survive and thrive don’t fly by the seats of their pants. They make intentional choices based on the available information.
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Today, increasingly, that information comes in the form of Big Data, the reams of information that flow in from every sector of business. While this is a golden opportunity for smart decisions and greater market share, it’s also confusing and overwhelming to many companies. Without employees or consultants who can analyze that data for real insight, they don’t get far.
Business analysts, luckily, can fill that need – and in so doing, can make good money and set themselves up for life. If you’re interested in helping companies make better decisions through the intelligent use of statistics and data-driven insight, then a master’s in business analytics could work well for you.
New York University offers one of the best, so read on to find out more.
How Long Is the NYU Business Analytics Program?
Lasting one year, the Master of Science in Business Analytics is a five-module program that combines distance learning with on-site sessions spaced throughout the year. Due to its part-time nature, it’s the perfect option for those who already have a fast-paced career and don’t want to get off track in their jobs. Instead, you can take small blocks of time off to attend in-person sessions and complete the rest of your work around your schedule.
What Will You Learn?
“The MSBA curriculum provides you with the skills and capabilities to transform data into insightful information that will lead to better results,” explains the program’s academics page. More specifically, “The MSBA program curriculum focuses on three core areas: data engineering, data analytics, and data interpretation.” Here is a comprehensive list of topics covered in Module I:
- Getting started with R (commands, arithmetic operators, logical operators, functions)
- Data structures and types
- Writing scripts
- Descriptive statistics
- Statistical graphs
- Working and manipulating data sets in R
- Econometric regression modeling
- Selection problems
- Omitted variables problems
- Endogeneity
- Log transformations
- Econometrics-based tools
- Data mining and data mining processes
- Introduction to predictive modeling
- Data fitting and over fitting
- Model testing
- Cross-validation and learning curves
- Model performance analytics
- Unsupervised learning and clustering
- Bayesian reasoning and text classification
- Data modeling and ER model
- Relational databases and SQL
- Accessing data sources: Web APIs
- Data manipulation using Python Pandas
- Regular expressions and Web Crawling
- Text Analytics
- Linear and linear integer programming
- Nonlinear programming and evolutionary solver
- Simulation and optimization
- Multi-period linear programming
- Monte Carlo simulation
- Big data
- System architecture and ecosystems
- Data management and extract-transform-load operations
- Linux, Hadoop, MapReduce, Apache Sqoop, Apache Pig, Apache Hive
As you can see, this is one of the most thorough and well-guided programs available today. Each subsequent model is just as thoroughly planned, as you can see here. The program culminates with a capstone that offers real-world experience and gives students the opportunity to network with professionals in the field.
How Can You Pay for School?
Business school is expensive, and business analytics is no exception. However, there are a number of scholarships available, and even if you can’t get those, you can apply for financial aid from the government or private institutions.
Why NYU?
This program is offered around the world, making it a destination for international students as well as Americans who want to study abroad in business. In addition to New York City’s Stern campus, you can also attend in Shanghai or Abu Dhabi. Those who want to engage in global commerce would do well to apply for an alternate campus from the country in which they live.
The alumni network to which you will belong upon graduation is also significant. With more than 100,000 alums all over the world, Stern’s network is huge and growing all the time. You never need to worry about being cut adrift upon graduation.
Convinced that NYU is the university for you? Want to keep exploring your options? Either way, we invite you to explore more of this page or to get in touch with us today.