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Analytics (M.S.)

Data analysis plays a crucial role in solving organizational challenges and making effective business decisions. The graduate degree in Analytics is designed for students interested in mastering the process of making data-informed decisions. By using data analysis, optimization techniques, and modeling tools, students have the opportunity to make sense of big data across multiple functions of the business. In order to improve an organization’s performance, students will work with a vast amount of big data to help discover trends and make predictions, and then make strategic, data-driven decisions.

This fully online, 30-33 credit program, which can be completed in as little as one year, is designed for students with any undergraduate background. Students with previous analytics undergraduate coursework may possibly substitute more advanced analytics graduate coursework for some of the Master of Science in Analytics requirements. Students enrolling without an approved statistics class will be enrolled in an acceptable class their first semester.

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Degree Level:

Graduate Programs

Program Type:

Major

Format:

Full Time, Online

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Why Grand View?

  • The program is fully online with synchronous components so you get real-time instruction
  • You will develop analytical skills and cutting-edge techniques, while preparing you to communicate findings and decisions
  • You will develop strong problem-solving skills and learn how to lead organizations to leverage data
  • You will create a strong portfolio of work that validates your skills and learning for employers
  • You will develop one-on-one professional relationships with faculty

Program Details

The MS in Analytics program consists of 30-33 credit hours. The courses are designed to provide a well-rounded understanding of the field. Students will learn evidence-based data gathering, data modeling, and quantitative analysis, as well as how to implement these tools to provide businesses with competitive advantages. Students gain skills to work in business intelligence, financial analysis, healthcare, marketing, and consulting.

 Admission Requirements

Admission Requirements:

  • A baccalaureate degree earned from a regionally accredited institution, evidenced by a transcript.
  • Validated minimum undergraduate grade-point average of 2.75 on a 4.0 scale (students below 2.75 will be considered for provisional acceptance)
  • Complete the application for admission

Submit the Following:

  • Include a statement of purpose with an application that addresses:
  1. The student’s interest in the program, including the identification of short-term and long-term career
  2. The skills and experiences the student will contribute to the program
  3. Expectations the student has of the program
  • A professional resume
  • Provide two references (academic or professional) who will complete an online recommendation form
  • Transcript from the institution where bachelor's degree was earned
Course Requirements (30-33 credits)

Prerequisite courses for the major:

  • Students without statistics background need to take a total of 33 credits as follows:
    • STAT-241/BSAD-239/DATAXXX: Statistical Analysis of Learning
    • All the core courses
    • Two of the elective courses
  • Students with a statistics background need to take a total of 30 credits as follows:
    • All the core courses
    • Two of the elective courses

Analytics Core Courses

DATA 500 Analytical Programming with Python 3 credits
DATA 501 Introduction to Analytics and Decision Making 3 credits
DATA 502 Visualization & Communication 3 credits
DATA 503 Data Leadership & Quantitative Communication 3 credits
DATA 504 AI for Everyone 3 credits
DATA 510 Predictive Analytics 3 credits
DATA 511 Prescriptive Analytics 3 credits
DATA 515 Analytics Capstone 3 credits

Electives- take 6 credits from the following.

DATA 505 Data Management 3 credits
DATA 533 Finance Analytics 3 credits
DATA 535 Marketing Analytics 3 credits
DATA 537 Sports Analytics 3 credits
DATA 539 Healthcare Analytics 3 credits
DATA 547 Applied Deep Learning I 3 credits
DATA 548 Applied Deep Learning II 3 credits
DATA 549 Intro to Natural Language Processes 3 credits
DATA 550 Intro to MLOps 3 credits

This Program Will

  • Prepare you for careers in key growth sectors that need professionals with deep analytics skills
  • Provide distinct and specialized classes in Finance, Marketing, Sports and Healthcare Analytics
  • Offer a wide variety of career paths for students who earn their M.S. in Analytics at Grand View University

Did You Know?

According to the Bureau of Labor Statistics’ Occupational Outlook Handbook, overall employment of business and data analysts and related positions is expected to grow at 10% (much faster than average) from 2022-2032. Analytics positions are highly sought after in today’s job market and professionals in roles such as data scientist can earn an annual wage of $103,500 in the U.S. According to the U.S Department of Labor’s O*NET, management analysts working in the Des Moines-West Des Moines area, on average, earn $82,440. In Iowa, analytics workers on average earn $81,570, and in the U.S., the average is $95,290. More specialized analysts, like business intelligence analysts, earn an average of $106,900 in the Des Moines-West Des Moines area,$94,860 in Iowa.

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