Studyportals Study cover for Enterprise Analytics

Enterprise Analytics

Pace University

M.Sc. On Campus Online
12 months
Duration
1344 USD/credit
1344 USD/credit
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The MS in Enterprise Analytics at Pace University is designed for graduates to meet this growing economic need.  You’ll have the opportunity to build skills in data science and computer science, including areas such as statistics, data warehousing, database design, data mining, and much more.

Visit the official programme website for more information

Overview

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 analyse 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.

 After completing the MS in Enterprise Analytics at Pace University , you will be able to source data, build queries, develop reports, and build enterprise applications that extract maximum value and recognize patterns or anomalies in big data sets. With data analytics growing more and more vital in industries ranging from government to advanced technology to professional sports, you’ll be prepared to make an immediate impact.

Career

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.

Programme Structure

Courses include: 

  • Mathematical Foundations of Analytics
  • Data Mining
  • Big Data Warehousing
  • Enterprise Intelligence Development
  • Marketing Research
  • Interactive and Direct Marketing
  • Social Media and Mobile Marketing Strategies

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Language

English

Credits

30 alternative credits

Delivered

On Campus, Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
80
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5

Other requirements

General requirements

  • Application Fee
  • Two Letters of Recommendation: Letters should be from academic or professional references that can knowledgeably comment on your ability to successfully complete graduate study.
  • Resume
  • Personal Statement: Send a typewritten essay explaining to the Graduate Admission Committee why you would like to pursue the program of graduate study you have chosen. Additional information regarding your academic performance, as well as professional experience, may also be included in the supplement.
  • All Official Transcripts: Transcripts from every accredited college or university attended (not just the degree granting institution) must be sent either to Pace University, directly from the academic institution electronically or by mail, or forwarded by the applicant in sealed envelopes from the academic institution.

Tuition Fee

  • International

    1344 USD/credit
    Tuition Fee
    Based on the original amount of 1344 USD per credit and a duration of 12 months.
  • National

    1344 USD/credit
    Tuition Fee
    Based on the original amount of 1344 USD per credit and a duration of 12 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

Our partners

Enterprise Analytics
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Pace University

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