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 9%.* 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 transfer-friendly 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 and R 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 Tier 2 Academic Specialization in Data Analytics along with your master’s degree to recognize your achievement with SAS technologies.
Earn a high-quality, comprehensive master’s in data analytics 100% online
At Franklin, you’ll get 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.
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 capstone project gives you an opportunity to integrate and synthesize the skills and knowledge you gained throughout the program.
Transfer up to 12 credits and finish your master’s faster
If you have already taken graduate-level courses, you may be able to transfer credit and save time and money toward your master’s degree. Franklin offers course-for-course credit for every class within the M.S. Data Analytics – except the capstone (BUSA 695). To see if your previous coursework can be used to satisfy degree requirements, you’ll need to submit a syllabus for the course(s) you’d like to have evaluated for transfer credit. Your admissions advisor will be happy to assist you in any way.
Note: If you wish to receive the SAS Tier 2 Academic Specialization in Data Analytics or the Graduate Certificate in Data Analytics alongside the master’s in Business Analytics, you must complete all the requisite courses at Franklin.
*Source information provided by Economic Modeling Specialists International (EMSI)
