Master of Science in Data Science and Analytics
Lamoni, USA
MSc
DURATION
22 months
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
EARLIEST START DATE
STUDY FORMAT
Key Summary
About: The Master of Science in Data Science and Analytics at Graceland University trains you to turn data into actionable insight for real-world problems. Core courses cover statistical analysis, programming, machine learning, data extraction and transformation, and data science methods. You choose an Emphasis and earn a certificate; you can complete multiple Emphases. The program uses practical, applied learning with real datasets and welcomes students from many backgrounds.
Career Outcomes: Graduates can pursue roles such as data scientist, data analyst, machine learning engineer, analytics consultant, and work in e-commerce, health care, government, sports, renewable energy, agriculture, automotive, and more sectors.
The Master of Science (MS) in Data Science and Analytics prepares students to transform data into information so that insight is gained for addressing real-world problems.
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. Students will also choose an Emphasis area in which a certificate will be awarded. Students may complete more than one Emphasis for certificate recognition.
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.
“In the 21st Century, data skills like those developed in Graceland’s programs will be required for successful careers in nearly all areas.”
Jeff Draves, Ph.D. Professor of Chemistry Director of Data Science & 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)
- DSCI5300 Introduction to Data Science – 3
- DSCI5320 Practical Applications of Data Science – 3
- DSCI5330 Extracting and Transforming Data – 3
- DSCI5340 Probability and Statistical Inference – 3
- DSCI5350 Basics of Computer Algorithms and Databases – 3
- DSCI5360 Regression and Time Series Modeling – 3
- DSCI5370 Machine Learning – 3
- DSCI6000 Data Science Capstone – 3
Machine Learning Emphasis (9 semester hours chosen from the following)
- DSCI5400 Data Mining – 3
- DSCI5420 Artificial Intelligence in Practice – 3
- DSCI5440 Big Data Analytics – 3
- DSCI5700 Internship – 3
A data science and analytics degree from Graceland University can help to prepare you for these careers:
- Athletics: NFL, MLB, NBA, FIFA, Racing
- Companies: Amazon, Walmart, Trip Advisor
- Social Media: Facebook, Instagram
- Health Care: Hospitals, pharmaceutical design
- Government: NASA, NOAA, FBI, CIA, NSA
- Agriculture
- Renewable Energy
- Car Manufacturing
- and other exciting areas.
