Master of Science in Data Science and Analytics Degree - Online

General

2 locations available
Read more about this program on the institution's website

Program Description

A Career with Growth Potential

The Master of Science (MS) in Data Science and Analytics will prepare students to transform data into information so that insight is gained for addressing real-world problems.

Named the “sexiest job in America” by the Harvard Business Review, data science is a rapidly growing industry with average starting salaries in excess of $118,000, according to the Bureau of Labor Statistics.

Graceland’s Master of Science in Data Science and Analytics degree is a 33-hour program that can be completed quickly so graduates can start taking advantage of their education to further their career. With emphasis options in either Machine Learning or Environmental Analytics, students will graduate with real-world skills that can be applied immediately.

The degree requirements consist of a core set of courses in statistical analysis, basic programming, machine learning, data extraction and transformation, and methods of data science. 

Data science and analytics is an area in which many disciplines and backgrounds can and do participate. Graceland's program takes a very practical and applied learning approach to skill development. The program relies on the use of real data sets to address challenging and current problems and issues.

Tuition Fee: Approx. $ 18.000 for the full program ($ 9.000 a year) 

Master of Science Degree in Data Science and Analytics

The MS degree requirements include 21 semester hours in the Core Requirements, 9 semester hours in an Emphasis, and 3 semester hours in a Capstone experience. The total hours required to attain the MS degree is 33 semester hours. Each course will be offered in 8-week segments on a schedule to be determined.

Core Requirements (21 semester hours) and Capstone Experience (3 semester hours)

  • Introduction to Data Science 3 s.h.
  • Practical Applications of Data Science 3 s.h.
  • Extracting and Transforming Data 3 s.h.
  • Probability and Statistical Inference 3 s.h.
  • Basics of Computer Algorithms and Databases 3 s.h.
  • Regression and Time Series Modeling 3 s.h.
  • Machine Learning 3 s.h.
  •  Data Science Capstone 3 s.h.

Machine Learning Emphasis (9 semester hours chosen from the following)

  • Data Mining 3 s.h.
  • Artificial Intelligence in Practice 3 s.h.
  • Big Data Analytics 3 s.h.
  • Internship 3 s.h.

Environmental Analytics Emphasis (9 semester hours chosen from the following)

  • Air Pollution and Health Analytics 3 s.h.
  • Water Quality and Nutrients 3 s.h.
  • Chemical Emissions Modeling 3 s.h.
  • Internship

Courses in Data Science (Graduate)

  • Introduction to Data Science 3 s.h.
  • Practical Applications of Data Science 3 s.h.
  • Extracting and Transforming Data 3 s.h.
  • Probability and Statistical Inference 3 s.h.
  • Basics of Computer Algorithms and Databases 3 s.h.
  • Regression and Time Series Modeling 3 s.h.
  • Machine Learning 3 s.h.
  • Data Mining 3 s.h.
  • Artificial Intelligence in Practice 3 s.h.
  • Big Data Analytics 3 s.h.
  • Air Pollution and Health Analytics 3 s.h.
  • Water Quality and Nutrients 3 s.h.
  • Chemical Emissions Modeling 3 s.h.
  • Internship 3 s.h.
  • Data Science Capstone 3 s.h.

Master of Science Degree in Data Science and Analytics - The "4+1" Program

Graceland undergraduates majoring in Data Science and those undergraduates that will have completed an Analytics Track by graduation may take up to 15 semester hours in the MS program and count these as credit toward their BS degree and credit toward their MS degree. Note that all applicants must also have completed the course requirements, GPA requirement, and letter of recommendation requirement of the twenty-two-month program. Completion of DSCI5300 Introduction to Data Science, DSCI5320 Practical Applications of Data Science, and DSCI5330 Extracting and Transforming Data as undergraduates will allow Graceland students the opportunity to finish the Master Degree within 16 months or less after graduation from the BS program.

Last updated Nov 2020

About the School

Founded in 1895 and sponsored by Community of Christ, Graceland University is more than just a school. It is a community of passionate, caring and dedicated individuals who put their relationships wit ... Read More

Founded in 1895 and sponsored by Community of Christ, Graceland University is more than just a school. It is a community of passionate, caring and dedicated individuals who put their relationships with students first. The active Graceland alumni network reaches far beyond a student’s time on campus. Read less
Independence , Lamoni + 1 More Less