320 WASHINGTON STREET | EASTON, MA 02357 | WWW.STONEHILL.EDU320 WASHINGTON STREET | EASTON, MA 02357 | STONEHILL.EDU

Master of Professional Studies in

Data AnalyticsLeo J. Meehan School of Business

STONEHILL DATA ANALYTICS ADVANTAGES• Earn a master’s degree and industry-recognized SAS certification in a flexible

12-month accelerated program

• Connect with working professionals in a variety of industries and from a wide geographic region

• Benefit from a blended model of online and weekend courses

• Learn from faculty that have extensive field experience

PROGRAM OUTCOMES

• Earn SAS Joint Certification

• Identify a business problem or opportunity and how data analytics can be applied to solve the problem and/or increase business value

• Acquire, access, assay and prepare data for analysis

• Conduct data analysis with regard for security, privacy and ethics

• Interpret and communicate analysis results to stakeholders without bias

CAREER BENEFITS

• MPS degree emphasizes skills today’s employers want

• Incorporates hands-on research and client engagements

• Executive format built to fit in with life’s other demands and foster networking bonds

Never has data been so important in our lives and to the success of

virtually every industry. Data helps organizations make decisions and

improves the quality of life for people around the world. Those who

possess the skills and knowledge necessary to analyze data and extract

actionable information from complex data sets are highly desired by

organizations everywhere.

Stonehill’s Master of Professional Studies (MPS) Program in Data Analytics

provides students with practical data analytics skills that can be applied to

a variety of business environments and includes SAS certification. In

addition, its executive format fits seamlessly into busy professionals’ lives

while fostering valuable networking and learning opportunities with

classmates who are also charting their path to success in the field.

SAMPLE COURSES

DATA ANALYTICS: TOOLS AND CONCEPTS This course introduces the key concepts of data analytics and data science as applied to solving data-centered business problems in many industries. Topics include an introduction to data-analytic thinking; application of data science solutions to business problems; high-level data mining techniques, an intro to the SAS software suite, and achieving and sustaining competitive advantages with data science.

STRUCTURED DATA ANALYTICS USING SASThis is a hands-on data analytics course for structured data using SAS Enterprise Miner. The course includes defining SAS Enterprise Miner projectS and exploring data graphically, modifying data for better analysis results, building and understanding predictive models, comparing and explaining complex models, generating and using score code, and applying association and sequence discovery to transaction data.

DATABASE AND DATA WAREHOUSE CONCEPTSThis practical survey course emphasizes simple and complex queries (SQL), the Extract-Transformation-Load (ETL) process, relational versus non-relational databases (and why relational databases can be a problem for analysis), an exploration of different database systems (Oracle, Microsoft SQL Server, etc.), data warehousing concepts, normalization/de-normalization, and cloud data warehousing. The course provides practical skills for database querying and provides a foundational knowledge of database concepts so that students can work better with the database administration staff.

stonehill.edu/dataanalytics

Data Analytics

VISUALIZATION AND DIGITAL STORYTELLINGThis is a hands-on course emphasizing the importance of data visualization in understanding data. Designed for those who have never used data visualization software before, this course will utilize Tableau, Microsoft Power BI or SAS Visual Analytics to prepare students to create reports and dashboards at all levels of an organization. Students will learn exploratory and explanatory data analysis and learn how to ask the right questions about what is needed in a visualization.

BIG DATA MANAGEMENT This course covers the impact of big data on business and what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. No previous programming experience is required and all code will be provided to students. By following along with provided code, students will experience how one can perform predictive modeling and leverage graph analytics to model problems.

SECURITY, PRIVACY AND ETHICS IN DATA ANALYTICSThis is a survey and case study course emphasizing the importance of data privacy and security. By the end of the course, students will understand the legal, social and ethical ramifications of data security and privacy as well as the concepts behind data guardianship and custodianship and data permissions. Special attention will be given to industry-specific data privacy laws (HIPAA, FERPA, PCI DSS, etc.).

Additional course information can be found at stonehill.edu/dataanalytics.

Stonehill College reserves the right to change or adjust course numbering and/or course descriptions.

PROGRAM SCHEDULEThe executive format of the program combines online instruction and in-person meetings, with less than half of the program’s instructional credit contact hours delivered online.

Students attend on-campus weekend courses, an estimated one weekend a month, and a three-day intensive seminar at the start of each semester.

Program Structure*

Program StartFall (There will be an extended three-day meeting at the start of each semester.)

Semesters 3

Courses per Semester 3

On-campus Courses Friday evening and Saturday

Fall/Spring Semesters – 6 weekends, Summer Semester – 4 weekends

*A full schedule will be provided at the start of each year.