Studyportals
Master Online

Predictive Analytics

Moravian College

24 months
Duration
18144 USD/year
18144 USD/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

The need for talented analytics professionals is bigger than ever. Whether you’re dabbling in data or an expert in the making, the Predictive Analytics program of the Moravian College is your chance to be part of something big and stand out from the crowd.

Overview

Why Predictive Analytics?

Ever wish you could predict the future? So do companies big and small. That’s why they turn to predictive analytics to identify the likelihood of future outcomes based on historical data. Predictive analytics professionals apply a variety of techniques like data mining, predictive modeling, deep learning algorithms, machine learning, and even artificial intelligence to sets of data to, quite literally, predict trends and behavior patterns.

Predictive analytics proves to be a growing area of significance for businesses around the world. Unlike business analytics, which focuses on past performance patterns, predictive analytics uses data big or small to anticipate—and plan for—the future.

The Degree You Need to Lead the Charge

The demand for employees with big data expertise has increased by over 85% in just four years, but companies are looking for so much more than number crunchers—they need leaders, strategic thinkers, and well-rounded analysts. They’re looking for data analysts who can spot trends and turn them into plans.

Sound like you? Earning a degree in the Predictive Analytics program of the Moravian College can prepare you even further for the following opportunities:

  • Chief Data Officer
  • Customer Insight Analyst
  • Big Data Developers
  • Head of Data Science
  • Analyst Roles (Data, Management, Marketing Research, Operation Research)
  • Statistician
  • Logistician
  • Business Operations Specialist

Programme Structure

Courses include:

  • Business Research Methods
  • Developing Leadership Competencies
  • Leading People in Organizations
  • Big Data Management
  • Big Data Analytics
  • Regression, Factorial, and Categorical Analysis

Key information

Duration

  • Part-time
    • 24 months

Start dates & application deadlines

Language

English

Credits

60 alternative credits

Delivered

Online

Academic requirements

GPA admission requirements GPA
3.33
GMAT admission requirements GMAT
Required

English requirements

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

Other requirements

General requirements

  • Our business competencies are in place to ensure you are efficient, effective, and competent in the baseline knowledge needed to be as successful as you can be in reaching your goals in our MSPA program: Principles of Economics (macro and micro), or equivalent, Information Systems for Management, or equivalent, Principles of Marketing, or equivalent, Economics and Business Statistics, or equivalent
  • Graduate Business Application
  • An overall GPA of 3.33 or higher OR 2 plus years of professional working experience.
  • Official Transcripts from all institutions previously attended
  • A professional resume
  • Personal statement to the Admissions Committee
  • Official GMAT scores
  • Two recommendations
  • An interview

Work experience

  • 2 plus years of professional working 

Tuition Fee

To alway see correct tuition fees
  • International

    18144 USD/year
    Tuition Fee
    Based on the tuition of 36288 USD for the full programme during 24 months.
  • National

    18144 USD/year
    Tuition Fee
    Based on the tuition of 36288 USD for the full programme during 24 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 9 months

Check the official programme website for potential updates.

Our partners

Predictive Analytics
-
Moravian College

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