In today's data-driven world, analytics is a part of everyday company operation. The difficult part is finding employees trained in data analytics with the skills to not only understand and utilize analytics tools but to follow up their analysis with clear, definitive recommendations for the next step.
Successful data analysis pulls from many different skill sets. In order to determine what data to collect, you need to understand the business and market landscape so you can determine what data would suit your purpose. You need to know how to gather that data, what tools are the best to analyze it, how to translate the results into a story the CEO will understand, and how to use that data to make recommendations for enterprise-level decision making that will heavily impact the direction of the organization.
The career opportunities around Big Data have never been greater. The MS in Enterprise Analytics combines computer science, statistics, data warehousing, database design, and data mining into a program that includes advanced analytics skills, a foundation in data science technology architectures, database programming, and algorithmic thinking to source data, build queries, develop reports, and build enterprise applications that extract maximum value and recognize patterns or anomalies in Big Data sets.
| Level | Masters |
| Discipline | Business & Management |
| Duration | 24 months |
| Intakes | Jan, Sep |
| Application Fees | USD 0 |
| Tuition Fees | USD 24750 |
| Campus | New York |
| Language proficiency (minimum) | |
| IELTS | 6.5 |
|---|---|
| TOEFL | 78 |
| PTE | 52 |
| Duolingo | 115 |
| Exam proficiency (minimum) | |
| SAT | Not Required / Waiver |
|---|---|
| ACT | Not Required / Waiver |
| GRE | Not Required / Waiver |
| GMAT | Not Required / Waiver |
Minimum GPA - 77.0%
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