Analyze Data for Businesses Big and Small with a Master’s in Data Analytics Online
The most successful businesses employ professionals to analyze data and find more efficient ways to operate. From global corporations and government agencies to small businesses, retail stores and nonprofit organizations, data analysis is core to daily function. The Master of Science in Data Analyticsonline program at UMS can help you gain specialized skills in data analytics to fill these crucial roles.
Thanks to the explosion in the amount of data businesses use, the field of data analysis is among the fastest growing, with a large number of exciting, high earning job openings such as:
- Data Scientist
- Named "Sexiest Job of the 21st Century" by the Harvard Business Review*
- #5 on CareerCast's list of "The Best Jobs of 2017"*
- Analytics Manager
- #2 on CNN Money's list of "Fastest-Growing Jobs"*
- #5 on Glassdoor's "50 Best Jobs in America for 2017"*
UMS's MS analytics degree is recognized by the Professional Science Master's (PSM) national office as a Professional Science Master's program. The PSM is an innovative degree designed to allow students to pursue advanced training in science or mathematics while developing workplace skills valued by employers.
See Yourself Succeed in Analytics
In as fast as 15 months, the 12-course master's in analytics core covers everything from Foundations of Data and Decision Methods and Modeling, to Presentation and Visualization of Data, Optimization and Risk Assessment, and Predictive Analytics.
UMS’s master’s in analytics program goes beyond the traditional view of data collection and interpretation. You’ll develop concrete skills to apply to any work setting. Upon completion of the capstone in data analytics, you’ll come away knowing how to leverage data quickly and effectively, plus something even more valuable: how to help a wide variety of industries make mission-critical decisions, assess risk, operate more efficiently and compete more successfully.
As a private, nonprofit university, UMS has one mission – to help you see yourself succeed. The benefits of earning your master’s in data analytics at UMS include:
- Affordability. Take advantage of some of the most affordable tuition rates in the nation
- Convenience. Attend class when it’s convenient for you – online education means 24/7 access
- Efficiency and flexibility. Complete your graduate degree in as few as 15 months, with two courses per 10-week term
- Expert instruction. Learn from instructors with relevant, real-world experience
- Minimal requirements. No GMAT or GRE required for admission
- Networking. Tap into our nationwide network of alumni for internship and career opportunities
- Student support. Count on the ongoing support of dedicated academic and career advisors specialized in your area of study
Career Outlook
The demand for professionals with degrees in data analytics is growing every day. A study by IBM and Business-Higher Education Forum (BHEF) projects that the number of U.S. positions for data and analytics talent will increase 15% by 2020, with average salaries of just over $80,000.* Demand for operations research analysts, to cite just one example, is expected to grow 27% through 2026, according to the U.S. Bureau of Labor Statistics.*
Opportunities span a wide range of industries from finance to manufacturing, healthcare to government. In addition to becoming a research analyst or data scientist, graduates can look forward to a potential career as a:
- Data analyst
- Data engineer
- Statistician
- Data mining specialist
- Analytics manager
Curriculum
Our master’s in data analytics online program focuses on the strategic and advanced uses of data analytics across a broad range of industries. Courses cover data mining, visualization, modeling, optimization and the ethical uses of data.
UMS provides cloud-based virtual environments in some courses to give you access to the technology you need for your degree – and your career. Learn more about our virtual environments.
Courses May Include
Program Outcomes
- Conduct thorough needs assessments using statistical, analytical, and applied research techniques and consult organizational stakeholders on business requirements to offer logical and effective recommendations for data analytics initiatives
- Design and implement advanced modeling techniques, such as predictive modeling, risk-assessment and optimization, and analytics algorithms using structured and unstructured data to provide new solutions to complex organizational issues
- Communicate with professionalism, accuracy, and transparency using interactive and dynamic visualization tools to translate technical information and offer effective solutions to organizational stakeholders
- Apply effective collaborative and essential project management strategies to facilitate and improve the work of diverse and multi-functional teams, streamline processes, and lead projects to successful outputs
- Protect the integrity and privacy of data, organizations, and consumers through advanced technology solutions and ethical and legal practices in all aspects of the profession
- Employ applied, contextual knowledge of an organizations industry to target new data opportunities that improve an organizations competitiveness, effectiveness, and longevity
- Adapt and implement innovative methods, models, and technologies that allow for adaptability to new and unexpected changes and improve the agility of data analytics projects
- Position data analytics as a competitive advantage to organizations by accurately communicating the cost and benefits of data analytics projects and technologies as well as the long-term benefits of data-driven decision making
