As a graduate of Kettering University you are part of an extensive alumni network with connections to notable organizations such as General Motors, Bosch, Boeing, Fisher-Price, Whirlpool, GE, and NASA to name a few. See the difference when your career is Kettering Built.
Change the World and Drive Innovation through Data Solutions
Kettering University’s Online Master of Science in Applied Data Science and Data Analytics a fusion of statistical, data management, and computing technologies—including data mining, machine learning, cloud computing, and visualization.
A Master of Science in Applied Data Science and Data Analytics from Kettering University’s Online program prepares leaders to manage and direct teams to create, define and refine data. Students will learn how to design and build new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis to achieve organizational goals.
Learn highly scalable statistical and computing techniques for processing and building statistical and data models, such as the ability to:
- Frame data science tasks in the context of organizational or project goals
- Effectively communicate data science concepts, results, and visualizations
- Use appropriate quantitative models to solve data science tasks, and assess models used to solve data science tasks
- Use powerful methods and technologies that unlock solutions hidden in data
- Apply well-rounded knowledge and professional skills to pursue leadership roles in data science
Undergraduate degree with a background in science, Data Science or Analytics, Mathematics, Physics, Engineering, or Computer Science preferred, but not required. Current or previous job experience considered. Those working in the fields of actuary science, the insurance industry, health care and business considered on a case-by-case basis.
- GRE waiver available for Kettering undergraduates or students with a minimum 3.0 GPA from an ABET undergraduate school
Who Should Apply
Ideal students should possess strong mathematical and statistical skills, a computer science background, related work experience, and the motivation to drive their career forward with advanced expertise in data science and data analytics.
- 100% online – ideal for working professionals
- Complete in as few as 24 months
- Four intakes per year (fall, winter, spring, summer)
- Accredited by the Higher Learning Commission and a member of the North Central Association of Colleges and Schools
- Kettering University ranked among the top 25 best regional universities in Midwest rankings for US News and World Report
- Kettering University was nationally ranked 24th in Return on Investment in PayScale.com’s 2019 report
MS in Applied Data Science and Data Analytics Program
Kettering University’s Master of Science in Applied Data Science and Data Analytics is a fusion of statistical and computing technologies including data mining, machine learning, cloud computing, and visualization. It equips graduates with essential business tools and the ability to use them to create a competitive advantage in their industry. In a data-intensive domain, students will estimate the unknown by asking questions, creating and writing algorithms, and building statistical models.
Equipping students with the ability to collect, prepare, and refine data, this online master’s program prepares graduates to solve organizational problems with the power of data science.
Check out our University Rankings:
- Ranked 3rd among 2019 Best Value College in Michigan - Niche
- Named 24th nationally in Return on Investment (ROI) - PayScale.com
- Ranked among the top 100 2019 Best Colleges with No Application Fee in America - Niche
Data Science vs. Data Analytics
Information drives and influences industries across our global economy. Data allows decision-makers to understand what’s happening now (data analytics), as well as why it’s happening and how it will likely influence the future (data science).
When considering a data-oriented degree, your skills in math, computer science, and advanced problem-solving can factor into which path to take. Data Science is a rigorous field that’s STEM-oriented and requires an advanced skill set to creating, defining and refining data in order to build new processes for data modeling and production. It utilizes prototypes, algorithms, predictive models, custom analysis, and a substantial amount of coding to anticipate the unknown and solve problems before they happen. Careers in data science are some of the highest-paying and highest-demanded roles within the U.S. and beyond.
Data Analytics, on the other hand, is a field with a lower barrier to entry that involves the process of examining and interpreting large data sets. It’s suited for individuals who would like to apply more sophisticated analytics methods to their functional role (in fields such as marketing, finance, human resources, and IT). These roles experience a significant demand as well but are less math and technology-intensive and have a lower salary potential compared to data science careers.
If you’re ready to change the world with data, a Master of Science in Applied Data Science and Data Analytics from Kettering University’s Online program is the perfect way to start.
MS Applied Data Science and Data Analytics Program
*While other options for this program may be available on campus, the KUO program is as noted
Set yourself apart with a Master of Science in Applied Data Science and Data Analytics from Kettering University. The 40-credit MS Applied Data Science and Data Analytics curriculum consists of ten courses, including a capstone course.
Online MS Master Applied Data Science and Data Analytics Career Outlook
Skilled data scientists are in high demand across virtually all industries. As businesses and organizations generate large sets of data and seek ways to leverage it for decision-making and technology development, the career outlook for data science professionals is bright.
The median base salary for data scientists is $130,000. – Tech Republic
Data scientist jobs are projected to have a 37% annual growth rate. – LinkedIn, 2020 Emerging Jobs Report
Job satisfaction, salary, and growth have led to data scientists topping Glassdoor’s “Best Jobs in America” from 2016 through 2019. – Glassdoor.com