Organizations from all sectors of the economy are seeking individuals with programming, analytics and communication skills for the purpose of sorting immense data sets to provide a competitive edge or a predictive tool that will help differentiate themselves in crowded markets. Demand for data analytics professionals are also expected to continue to grow by 30%, a rate that’s faster than average.* In addition, a survey of job postings nationwide shows that data analytics jobs take longer to fill compared to other positions, indicating that demand is high and supply is low for qualified individuals to fill these positions.
Franklin’s M.S. in Data Analytics enables you to take advantage of the rising demand for analytics skills and effectively prepares you for the analytics-related jobs of today and tomorrow. The robust curriculum includes coursework in statistics, programming, data management, data visualization, data mining, machine learning and advanced analytics.
Build technical skills with hands-on exposure to industry-standard tools
As a student in the M.S. in Data Analytics, you will be exposed to cutting-edge technology and techniques to address the most common challenges within the discipline. You’ll explore big data technologies including Hadoop, MapReduce, Data Warehouse, SQL, No SQL and In-memory Databases.
You’ll use Python to learn data processing algorithms, while other hands-on projects include exercises and assignments in Tableau, SAS Enterprise Miner, SAS Text Analytics, and SAS Visual Analytics. Our partnership with SAS and its heavy integration into the coursework helps you build proficiency that translates into a competitive advantage in the job market. As a graduate of the M.S. in Data Analytics program, you will also receive a SAS Joint Certificate in Data Analytics along with your master’s degree to recognize your achievement with SAS technologies.
As you progress through the program, you’ll learn to manage, visualize and analyze complex data sets; apply a number of analytics methods to solve business problems and effectively communicate your results through a combination of interactive and relevant coursework.
The Master of Science in Data Analytics (MSDA) at Franklin University is a fully online program that is designed for current and aspiring data analytics professionals and provides them with the knowledge and advanced skills necessary to support strategic organizational decisions based on data. As they progress in the program, students learn to manage, visualize and analyze complex data sets; apply a number of analytics methods to solve business problems and effectively communicate their results through a combination of interactive and relevant coursework. The capstone project gives them an opportunity to integrate and synthesize the skills and knowledge gained throughout the program. The MSDA at Franklin University offers the convenience and flexibility of a quality online education, expert instructors who have relevant and real-world experience, and strong student support from dedicated faculty, tutors and advisors.
Graduates of the program will::
Join the special group Analytics at Franklin University on LinkedIn to expand your network, to stay connected with your peers, faculty and industry experts, to share your ideas and to be part of the growing analytics community.
Students in the Computer and Information Sciences Majors may be required to purchase hardware and/or software with capabilities greater than the standard University technology requirements. There will be software requirements beyond the standard Microsoft Office software, such as software development environments, operating systems, virtualization environments and tools, Web site development and business process documentation tools that will be used in various courses. Students should check the Technology Requirements section of the Academic Bulletin and/or the Course Schedule for the requirements relevant for Computer and Information Sciences majors to ensure they have, and are familiar with, the requisite hardware and software. Courses with specific hardware and software requirements are detailed in the course syllabus under the "Required Materials" section.