賓夕法尼亞州滑石大學(xué)

By 2018, there will be a shortage of about 190,000 deep analytics personnel. This shortage is in addition to a projected shortage of 1.5 million data-savvy managers that can convert data to actionable information. Occupations involving data science are expected to grow by 14% between 2014 and 2024, Economic Modeling Specialists Intl. (EMSI). Slippery Rock University's Master of Science in Data Analytics (MSDA) prepares professionals to work in the rapidly-growing field of data analytics and big data.

DESCRIPTION:

SRU's Master of Science in Data Analytics is 33 credits and can be completed in 10 months full-time or 2 year part-time. One particularly distinguishing feature of the program is its validation by alignment with standards established by professional certificate programs. In particular, students who complete the program will receive a joint certificate in statistical applications and data analytics from SRU and the SAS (Statistical Analysis System) Institute for advanced analytics. SAS is one of the most widely used software platforms in the world for performing data analytics and statistical analysis. SRU is 1 of only 56 institutions in the country that offer SAS certificate upon graduation. This will give graduates of the program a significant advantage in the marketplace.

Moreover, the MSDA will provide the training necessary for the Certified Analytics Professional (CAP) exam. The CAP exam is a broad-based analytics exam administered by the Institute for Operations Research and the Management Sciences (INFORMS). INFORMS is the largest professional organization in the world that supports operations research, management science, and data analytics.

HIGHLIGHTS:

SRU's Master of Science degree in Data Analytics offers:

100% Online Coursework

A 33 credit program that can be completed in 10 months full-time or two years part-time

Statistical Analysis System (SAS) Certificate

Preparation for the CAP exam

Training in big data analytics, machine learning, and state-of-the-art technologies

Highly accomplished faculty with big business experience

Internship option

The MSDA program has the goal of cultivating the analytical skills of graduates who will be well-prepared to work in the growing field of big data analytics. For those already working in the fields of business, public health and health care, information systems, and management, their competency will be enhanced with consequent benefits for the communities they serve. The program is designed to meet the needs of working professionals. Students embarking on a career in data analytics will be prepared for the ever-increasing demands of the profession, and will be able to help fill the gap between the supply of, and demand for, big data analytics. It follows that the MSDA will primarily be practitioner-oriented rather than research-oriented.

Upon graduation, MSDA students should be able to:

Apply quantitative modeling techniques, such as probability, statistics, optimization, and simulation, to the solution of business and health care problems.

Use innovative methods and technologies to successfully extract, scrub, integrate, format, visualize, and analyze big data.

Know how to query and analyze complex databases to provide real world, real-time solutions.

Use predictive analytics and forecasting to improve decision making in business and health care.

Effectively communicate analysis results to assist in strategic decision making.

Analyze and optimize the delivery, quality, and costs of health care from a data-driven perspective.

Analyze market data to provide a competitive edge for business and more agile management practices.